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The Missing Link -Procedural knowledge for Physical Education

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Journal of Teaching in Physical Education
A Missing Link? Middle School Students’ Procedural
Knowledge on Fitness
Journal: Journal of Teaching in Physical Education
Manuscript ID JTPE.2019-0237.R3
Manuscript Type: Article
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middle school physical education, physical activity behaviors, declarative
Keywords: knowledge, procedural knowledge, learning in physical education, fitness
goals
Human Kinetics, 1607 N Market St, Champaign, IL 61825
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Abstract
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Purpose. Guided by the declarative-procedural knowledge framework, the study attempts to
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identify middle school students’ declarative (knowing what) and procedural (knowing how)
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fitness knowledge and the relationship between the two. Methods: A sample of students (n=291,
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age 11 to 14 years) from 24 middle schools took a grade-relevant standardized knowledge test on
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declarative fitness knowledge and received a semi-structured interview designed to clarify their
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declarative and procedural knowledge. Results: Most students were lacking procedural
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knowledge to conduct fitness-enhancing physical activities. A few students who had mastered
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declarative fitness knowledge demonstrated a high-level of procedural knowledge consistent
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with personal fitness goals. Discussion: The findings suggest that incapability to engage in
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fitness-enhancing physical activities could be a result of lacking procedural fitness knowledge.
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Future school-based interventions may prioritize procedural knowledge learning to bridge both
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declarative and procedural fitness knowledge for actual physical activity participation.
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Key words: middle school physical education, physical activity behaviors, declarative
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knowledge, procedural knowledge, learning in physical education, fitness goals
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Human Kinetics, 1607 N Market St, Champaign, IL 61825
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A Missing Link? Middle School Students’ Procedural Knowledge on Fitness
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Over the past three decades, professional associations and agencies such as SHAPE
America and the Centers for Diseases Control and Prevention, have established standards and
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issued policies to promote physical activity to youth. These policy-level changes have
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established a foundation for long-lasting and far-reaching efforts to promote physical activity in
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public schools. For instance, at the national level, campaigns such as Jump Rope for Heart and
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Let’s Move used school physical education as a platform to expand physical activity
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opportunities for kindergarten (age 5) to 12th grade (age 18) students. At the local level, 48 out of
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all 50 states have issued policies and standards to assure that physical education includes health-
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enhancing fitness knowledge (SHAPE America, 2016). Nevertheless, the evaluation results of
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these policy-level efforts have consistently revealed unsatisfactory outcomes. Recently, the 2018
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United States Report Card indicated that, in the past decade, the percentage of school-aged
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students who engaged in at least 60 minutes of physical activity daily, including moderate-to-
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vigorous and vigorous aerobic physical activity, muscle-strengthening activity and bone-
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strengthening activity, declined from 29.9% to 24.2% (National Physical Activity Plan Alliance,
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2018).
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Transferable Learning?
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This study is, theoretically and contextually, driven by the dialogue about the following
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two questions. First, what constitutes learning in physical education? Second, considering the
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limited instructional time, what content knowledge should be prioritized for instruction in
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physical education? For over two decades, scholars, researchers and educators in physical
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education have reached a consensus – learning in physical education is co-constitutive of
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conceptual and behavioral changes (Ennis, 2007). Theoretically speaking, this paradigm shift is
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to assert the embodiment of learning as change enabled by:
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accessing cognitive conceptualizations of knowledge of and through the physical. It
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opens vantage points to a vision of a sound mind in a sound body and facilitates access to
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educational environments for effective delivery of physical education and physical
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education content (Ennis, 2007, p. 139).
Thus, the goal of physical education should be inclusive to helping students learn fitness
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knowledge, including but not limited to concepts of fitness, exercise principles, components of
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fitness, nutrition and effects of physical activity on chronic disease risk factors (Zhu, Safrit, &
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Cohen, 1999), and empowering them to practice the knowledge in daily life.
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Transferring fitness knowledge into behavioral practices, however, is neither
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instantaneous nor effortless (Ennis, 2017). In a recent review, Demetriou, Sudeck, Thiel and
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Honor (2015) evaluated 34 school-based interventions aiming at improving students’ fitness
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knowledge. It reveals that, regardless of the intervention content, duration, and frequency, most
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school-based intervention studies (79.4%) significantly improved student fitness knowledge,
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reaffirming that physical education in public schools, being far-reaching and low-cost, carries a
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great potential to improve fitness knowledge through quality programs (Corbin, 2002; Marx &
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Wooley, 1998). On the other hand, the review also indicates that few interventions improved
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students' physical activity participation and fitness levels (Demetriou et al., 2015). Based on the
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results, Demetriou and colleagues (2015) concluded that there is a missing link between fitness
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knowledge and a change in engaging fitness-enhancing activities.
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In different contexts, students’ incapability of transferring what they might know to
action has drawn scholarly attention. For instance, Harris and colleague (2018) recognized that
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Human Kinetics, 1607 N Market St, Champaign, IL 61825
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From Fitness Knowledge to Fitness Activities
health/fitness knowledge learned in schools is likely to be superficial and often mismatch with
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the opportunities to practice at school meal times and physical education. The mismatch often
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presents many knowledge-behavior dilemmas such as Shea and Beausoleil (2012) documented
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that “they (students) viewed fast food as unhealthy, these young people also talked about how
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much they enjoyed it” (p. 103). The widespread incapability of knowledge transfer to action
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witnessed in research (Demetriou et al., 2015) has stirred theoretical discussion on the
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relationship between fitness knowledge and behavioral change. Some argue that knowledge is an
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indispensable prerequisite for behavioral change, but not sufficient to initiate behavioral change
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(see Lloyd, Colley, & Tremblay, 2010; Rimal, 2001). Others speculate that cognitive mastery of
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health-related fitness knowledge may serve as the precursor of physical activity (Keating,
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2003; Nahas, 1992).
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The Declarative-Procedural Knowledge Paradigm
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The declarative and procedural knowledge paradigm derived from Anderson’s (1976)
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theoretical work on explicit/implicit knowledge. According to Anderson, declarative knowledge
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is a form of explicit knowledge that conveys clear description of facts. It is knowledge about
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what. In contrast, procedural knowledge refers to the knowledge of “how to do” which is likely
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implicit or tacit forms of knowledge about getting something done. The conceptual distinction of
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the two may be vague (Nickols, 2000). Procedural knowledge can be declarative when one
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verbalizes or writes down a procedure (e.g., a flowchart) to do something; or it is completely
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implicit in that one can complete a task without knowing how to describe the process. Anderson
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(1976) and Nickols (2000) took the stand that procedural knowledge is completely implicit, but
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becomes declarative when one can verbalize the procedure. Greeno (1978) and others (Gil,
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Moreno, García-González, Moreno, Del Villar, 2012) held a different conceptualization. He
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argued from learning mathematics operation perspective that when one follows a descriptive
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procedure to complete a task, the application of the procedure, including reading/following the
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flowcharts/plans reflects procedural knowledge. In our study we adopted the latter
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conceptualization of procedural knowledge to distinguish “what” and “how” in terms of fitness
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knowledge. In the domain of fitness knowledge, therefore, we refer declarative knowledge to the
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conceptual understanding of the facts and principles about human bodies and human practices in
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relation to fitness. We refer procedural knowledge to how to apply the facts and principles to
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physical activity settings to enhance personal fitness and health.
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Reflecting on the findings from the intervention studies, Demetrious and colleagues
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(2015) pointed out that most school-based fitness knowledge intervention studies only measured
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declarative knowledge – the conceptual and factual perspective of fitness knowledge. They
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further specified, among the 34 fitness knowledge intervention studies, only one study measured
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procedural fitness knowledge – how to run within a self-perceived effort/heart rate zone (Ignico
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& Corson, 1997). Such an exclusion of procedural knowledge in the knowledge-behavioral
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change research runs the risk of reducing fitness knowledge to its mere declarative
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representations and contributes to unsuccessful learning transfer (Demetrious et al., 2015).
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The Missing Link: Procedural Knowledge
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Procedural fitness knowledge refers to how to apply the facts and principles for fitness
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improvement which includes “higher-order skills that require deeper learning and a greater
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degree of cognitive processing” (Adams, 2015, p. 152). Its application involves making self-
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conscious choices for physical activities, and monitoring physical activity engagement on
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duration, frequency and intensity based on ongoing reflection of physiological facts and training
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principles. In other words, declarative and procedural fitness knowledge are two distinct aspects
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of one knowledge domain (Anderson, 1976). The mastery of declarative fitness knowledge alone
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does not guarantee the mastery of how to act for fitness improvement as procedural fitness
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knowledge could be missing in one’s knowledge repertoire. Based on the findings of student
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inability to transfer knowledge into action (Demetrious et al., 2015), we hypothesized that
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procedural knowledge for fitness improvement could be the missing link that contributes to
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students’ incapability in transferring fitness knowledge to fitness-enhancing behaviors.
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The purpose of this study, therefore, was to identify middle school students’ mastery of
fitness knowledge on both declarative and procedural dimensions. We posed two questions:
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First, in what ways do middle school students conceptualize fitness knowledge? Second, to what
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extent do they operationalize fitness knowledge they know in daily life? By answering the two
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questions, we attempt to clarify the role played by procedural knowledge in transferring fitness
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knowledge to physically active behaviors.
Method
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The study was a part of large physical education curriculum intervention research
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The Research Context
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conducted in six adjacent Local Educational Agencies (LEAs; or school districts) that serve
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urban, suburban and rural communities in a southeastern state of the U.S. The purpose of this
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curriculum intervention research was to evaluate a constructivist curriculum that integrates
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learning of fitness and health knowledge with physical activities in physical education. Guided
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by constructivist learning theory, the curriculum was in alignment with the state’s essential
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standards for middle school physical and health education.
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The state issued Health and Physical Education Standards in 2009, specifying grade-level
content knowledge from kindergarten (5 years old) to ninth grade (~ 15 years old). The State
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Board of Education suggests a minimum of 30 minutes of moderate to vigorous physical activity
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daily for all students from K (age 5) to eighth grade (14) and a minimum of 225 minutes of
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Healthful Living Education weekly taught by certified health and physical education teachers.
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LEAs were required to implement annual fitness evaluation for all students from third to eighth
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grade, and establish a LEA Wellness Policy to monitor their own practices. Since physical
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education is not a core content area like mathematics, reading or science, the implementation of
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the policies is at the discretion of LEAs and schools’ administrators.
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Participants
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The region has a relatively high poverty rate (15.8%) in comparison with the state and
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national averages (15.4% and 13.8% respectively). In sampling we first determined a sampling
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pool with 75 middle schools whose demographic information, especially poverty rate, fell within
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the range of one standard deviation around the national mean. Using the stratified sampling
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technique, we divided 75 middle schools in the six districts into six strata based on the school’s
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free and reduced-priced meal (FARM) rate and state standardized test score. Then, four schools
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were randomly selected from each strata and randomly assigned to experimental and control
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conditions, yielding 12 schools in each condition. The FARM rates of the 24 sampled schools
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ranged from 22% to 78%. The final sample for the curriculum intervention research included
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11,638 students (age 11 to 14) including 5% Asian, 29% Black, 12% Hispanic, 8% mixed race,
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and 40% White. During the curriculum intervention we followed these students in both
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conditions to evaluate their learning.
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Within each sampled middle school, we randomly selected one class from each grade
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level, then six students from the sampled class, to form a student sub-sample. During the process,
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we consulted with the participating teachers to ensure that the sampled students were regularly
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attending physical education and capable to verbally elaborate themselves. The final sub-sample
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included 291 students (female = 161), 108 in the sixth, 92 the seventh and 91 the eighth grade.
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The students reflected diverse racial/ethnic backgrounds with 67 Black, 8 Asian, 36 Hispanic, 26
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mixed race, 148 White, and six self-identified to be “other.”
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Evidence and Data Collection
Prior to data collection, we obtained approval from the university’s Institutional Review
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Board for research involving human subjects, and collected student assent forms, teacher consent
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forms and parent/guardian consent forms. To address the research purpose and questions, we
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gathered evidence on students’ declarative and procedural fitness knowledge through a two-stage
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data collection process. In the first stage, we collected declarative fitness knowledge evidence
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using a standardized knowledge test with 20 questions for each grade. The tests were grade
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specific and written to evaluate the constructivist curriculum and had been validated and piloted
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prior to the curriculum intervention research. The test items had difficulty indices ranging from
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45% to 65% and discrimination indices greater than .40 (Zhang et al., 2016). Along with all
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students in the large study (N= 11,638), the students in the sub-sample (n=291) completed the
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standardized knowledge tests administered by the researchers. Below are sample questions.
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Sixth grade: “Regularly exercising at an overload pace makes my body become used to that level
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of work, which is called __.” The answer choices were:
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(a) rate of exertion (b) physiological adaptation (c) intensity (d) circulation
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Seventh grade: Which of the following activities will produce high intensity measured in heart
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rate?
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(a) Capture the Flag game (b) sit-and-reach exercise (c) volleyball bumps (d) butterfly stretches
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Eighth grade: If I want the aerobic glycolysis (AG) system to work effectively during a 20-minute
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speedball game, I must
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(a) run as fast as I can (b) sit down and rest fully (c) be a goalie (d) use a pacing strategy in the
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game
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The tests were taken online using Qualtrics in the schools’ computer rooms and the answers were
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graded with 1 point awarded to a correct response and 0 an incorrect response.
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In the second stage, we conducted open-ended individual interviews with the students
(n=291) to gather declarative and procedural knowledge evidences. For declarative knowledge,
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interviewers asked factual and conceptual questions on fitness training. For instance, “What do
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you think would happen if someone who doesn’t run very much tried to one day run a long
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distance, like a marathon? Why?” For procedural knowledge, the interviews were focused on
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students’ understanding of what, when, where, and how to perform physical activity given their
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declarative knowledge. Specifically, the students were asked to provide details about how they
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would personally practice or advise others to implement fitness knowledge. Among the list of
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interview questions, four were “If you want to get stronger, what you might do in your workout
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next week to make your body stronger? How, and Why?” and “So if she wanted to be successful
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what advice would you give to her?” “Do you have an exercise plan for yourself? If yes, what is
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the goal? Could you tell me how you plan to accomplish that goal?” The interview questions
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were designed to re-validate students’ conceptual understanding of declarative fitness knowledge
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as well as to capture students’ procedural fitness knowledge. The stem interview questions were
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piloted with a group of expert middle school language and physical education teachers for
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relevance and language appropriateness and a small group of non-patriating student representing
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each grade in this study.
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The interviewers were eight doctoral and master students enrolled in a Physical
Education Teacher Education graduate program. In addition to having taken two hands-on
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qualitative research methods courses focusing on field-observation and children/adolescents
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interview techniques, the interviewers attended a ~20-hour workshop on how to implement the
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techniques in this study to gather observation and interview data. The workshop included
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conducting descriptive, non-participant observations by viewing video-recorded physical
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education lessons, studying the semi-structured interview guides, conducting mock interviews
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following the guide, and conducting initial data categorization following the constant comparison
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principles (Pattern, 1990). Since the interviews were open-ended, the techniques of asking
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follow-up questions (controlling deviations) was discussed and practiced with a focus on by
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developing and giving specific prompts to the interviewee. For instance, interviewers could
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probe more details on fitness plan implementation by focusing on FITT principles rather than
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asking random questions merely following the lead of the interviewee. The interview transcripts
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were coded and compared in the workshop for agreement. The practices continued until a
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consensus agreement reached by the team.
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In data collection, all the interviews were conducted in physical education teachers’
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offices during physical education lessons. The interviews were conducted individually and lasted
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about 15 to 20 minutes. All interviews were audio recorded and later transcribed verbatim.
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Data Reduction and Analysis
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We adopted mixed methods for data analysis due to two reasons. First, both standardized
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knowledge test (quantitative) and open-ended interviews (qualitative) evaluated students’
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declarative fitness knowledge, we therefore used evidence obtained from the two sources to
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validate and triangulate each other. Second, in this study, the qualitative inquiry of procedural
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fitness knowledge is exploratory by nature. The answers obtained through open-ended interview
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could be too discursive to be synthesized. Thus, we used standardized test results on declarative
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fitness knowledge to categorize students into three achievement groups for more focused
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analysis of students’ procedural knowledge obtained from interviews. In other words, the results
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from the first method (the standardized knowledge test) inform the investigation using the
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second method (in-depth semi-structured interviews) (Greene, 2006). Hypothetically, students
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who scored high on standardized knowledge tests should demonstrate a better mastery of
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procedural fitness knowledge in interviews.
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Using the standardized test results, we categorized students into low-, medium-, and
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high-achievement knowledge groups with +/- .5 standard deviation splits (Rencher, 2002).
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Achievement group membership of the interviewee was not revealed to the interviewer to avoid
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interviewer bias or leniency. The membership information was used after all the interviews were
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completed to categorize the transcribed interviews for analysis and cross-group comparison. The
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three-phase interview analysis involved the open, axial and selective coding to generate themes
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(Strauss & Corbin, 1990). In the open coding phase, we labeled the recurring student responses
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to form initial categories for declarative and procedural knowledge. Specifically, the open coding
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process focused on labeling conceptual understanding of the fitness principles (overload,
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progression and specificity) as declarative knowledge. Student descriptions on how they
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designed and implemented the principles were labeled as procedural knowledge. The open-
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coding phase prepared the data for axial and selective coding (Glaser & Strauss, 1967).
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In axial coding, we related the similar categories uncovered through open coding together
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to form a descriptive chain for each achievement group. This procedure allowed us to identify
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unique characteristics of students’ procedural knowledge in relation to their achievement level
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that was indicative of their declarative knowledge. We also developed themes by drawing
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students’ thematic responses within and across achievement groups in connection with the
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declarative-procedural framework. In the last analysis step when we conducted selective coding,
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we contrasted themes to form a grounded theory to understand the declarative-procedural
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knowledge relations by distinguishing the characteristics of their conceptualized procedural
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knowledge in terms of their declarative knowledge. Specifically, we used the data triangulation
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to identify “theoretically sensitive” (Gilgun, 2019, p. 116) evidence of the initial relationship
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between the two types of knowledge. We then adopted retroductive qualitative analysis to verify
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the relationship (Gilgun, 2019). For example, when a triangulation showed that a student
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demonstrated a declarative understanding of a concept in the knowledge test, was able to
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articulate the meaning of the concept clearly, and provided procedural knowledge (e.g., step by
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step way of executing the concept), we then retrospectively retrieved his/her data files build a
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case as an element (axial coding) in the grounded theory. During the analysis, the researchers
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worked independently on coding and collectively on reaching the consensus of categories and
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themes. Peer checking was performed along with a constant search for negative cases throughout
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the data analysis. In the data verification process, the researchers held a series of meetings until
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consensuses were reached on evidence saturations (Patton, 2014).
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Results
Based on the descriptive statistics for standardized test scores, low-, medium-, and high-
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achievement groups were formed. By the conceptualization of declarative knowledge (Anderson,
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1978), the achievement levels represented the levels of declarative knowledge. In the following
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sections, we present the declarative knowledge evidence first, followed by procedural knowledge
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corresponding to the declarative knowledge. In this description, we emphasized on student
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responses that we consider as illustrating the differences associated with different levels of
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declarative knowledge. Then, we describe the procedural knowledge associated with the
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declarative knowledge to illustrate where the missing links are likely to be present.
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“Oh, I know it…” – Declarative Knowledge as Manifested
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Most of the students did not seem to have difficulty recalling important factual
information about fitness benefits and exercise principles. This was especially true with the high
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achievement group of the students who clearly knew more than those in the other two groups.
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They were able to articulate complex relationships of important conceptus such as intensity,
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frequency, specificity, personal goals, and others. What is impressive is that many of them were
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able to recall and use scientific vocabularies in the interviews with the researchers. These
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particularly are reflective in their interview responses on the progression and overload principles.
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In contrast, they faltered when trying to articulate on the specificity principle. In our perspective,
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this weakness could be significant because the understanding of specificity principle is likely
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associated with setting appropriate personal fitness goals.
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Understandings of progression and overload. It appeared that the principles of
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progression and overload have been mastered by a considerable number of students, including 16
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students (16.67%) of low-, 27 students (25.71%) of medium-, and 49 students (54.44%) from the
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high achievement/declarative knowledge groups. They were able to articulate these principles in
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many forms of expressions. Some used scientific terminologies; others used layperson
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languages. In answering how to prepare for a marathon, a sixth grader in the high declarative
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knowledge group explained how to prepare oneself for long-distance running with the principle
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of progression:
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You have to run a lot, practice and, that’s all. Because if you’re running a marathon and
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run like more than one mile, if you run every day more than one mile, and you get more,
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you are increasing, um, how you say it? Adaptation! You will get used to it.
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In answering the question “if you want to get stronger, what might you do in your workout next
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week?” a sixth grader with high declarative knowledge revealed his understanding of overload
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and progression: “… I’d start with something that challenges me, and then if I could, I’d work on
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completing that and then I’d go higher and higher mileage until I become stronger.”
Students’ understanding of progression and overload principles were not only applied to
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cardiovascular fitness but also to musculoskeletal fitness. For instance, an eighth grader from the
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high declarative knowledge group also applied the principles to the development of
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musculoskeletal fitness, “(you) progressively have more reps and add more weights …put more
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weight on. Yeah, (you) make it heavier.” A sixth grader from the same group specifically used
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the term overload to explain his strategy to improve fitness by saying “(you) use the principle of
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overload to work out harder than you normally do. It (the principle) is about working harder and
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trying to set higher goals than normal.”
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Students in the medium-declarative knowledge group also demonstrated mastery of the
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principles of overload and progression. Elaborating progression, a seventh grader stated, “Your
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body will respond to running 10 miles if you build up to it gradually. It (exercising with
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progression) is different from someone who tries to run 10 miles at once with no preparation.”
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Another seventh grader explained progression in musculoskeletal fitness, saying “(you) start with
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a lower amount of weight and then work your weight up to what you want to be able to lift.”
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Similar to her counterparts from the high-declarative knowledge group, an eighth grader from the
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medium-declarative knowledge group explained what she would do to make herself strong by
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using the principle of overload: “I would push myself because when I get tired I could just stop,
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but I try to push myself harder.”
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Understandings of specificity. In terms of the specificity principle, only a small
percentage of students (6.67%) in the high achievement group, 1.90% in the medium
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achievement group, and 0.00% in the low achievement group demonstrated accurate
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understanding. In other words, in contrast to the understanding of the progression and overload
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principles, most students of all three declarative knowledge groups showed inaccurate
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understanding of the specificity principle. These small percentages across all three groups
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suggested a high level of confusion about the specificity principle, a critically important guiding
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principle to planning one’s physical activity goals for health. Evidence from the interviews
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substantiated this confusion as well. For instance, in answering the question “how to become
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stronger…” a sixth grader from the high-declarative knowledge group suggested, “Probably eat
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right, work out a whole lot, and run. Because you get leg muscles from jogging, then eating right
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you get heart muscles. And then from lifting weights and stuff you get arm muscles.” Another
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seventh grader from the high declarative knowledge group stated, “You would practice your
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running on machines (treadmills) that help you to be able to run. Because it helps your leg
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muscles get stronger in running and it makes your body used to doing it all the time.” In the same
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vein, an eighth grader from the high-declarative knowledge group believed “the faster your heart
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beats the more muscle you get.” Almost all the students, regardless of their declarative
333
knowledge levels, seemed to hold a similar misconception that cardiovascular activities, such as
334
jogging, would contribute to muscular strength and hypertrophy.
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The few students (6.67%) from the high declarative knowledge group demonstrated
accurate understanding of the specificity principle. For instance, a sixth grader elaborated,
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If I’m carrying stuff from the grocery store that’s really heavy, I get more upper body
338
strength. And if I’m like running to go down the street or get something I would get my
339
heart rate higher and my cardio working better.
340
A seventh grader specified,
You might start work out on some particular area in your body like the upper part or
342
lower part … Like maybe you wanted to get your arm stronger or your leg stronger or
343
both at the same time then you will have to do certain exercises to fit those needs”.
344
Fewer students (1.90%) from the medium declarative knowledge group demonstrated
Fo
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accurate understanding of the specificity principle than those in the high-declarative knowledge
346
group. Among some of the few exceptions, an eighth grader elaborated what he would do to be
347
stronger:
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Um… it depends on what you want to improve it on. Like… if you have weak upper
349
body strength you might want to do more anaerobic. But … if you have weak lower body
350
strength and not much endurance you might want to do aerobic, because it’ll help you get
351
use to pushing yourself.
352
Other than the few, most students from this group displayed misconceptions about the
iew
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353
specificity principle. Some believed that whole body movements, such as running, contribute to
354
muscle growth across the body suggesting that one does not need to focus on different body parts
355
in exercise. For example, a seventh grader equated aerobic activities to muscle growth by
356
reasoning: “aerobic stuff requires you to use more oxygen … so you will feel the heat and you’re
357
starting to sweat more and starting to build more muscle while doing it.” Another eighth grader
358
shared the misconception, “if you run more then you get much stronger in your lower and upper
359
body at the same time.” A seventh grader explained that she would do sit-up and running to make
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her stronger, because “it (sit-up) helps your stomach decrease the fat and running helps you build
361
up your strength.” When a seventh grader was asked to explain “what do you think would
362
happen if someone who doesn’t run very much tried to run a long distance, like a marathon, one
363
day?” He answered, “They wouldn’t have like muscles to run marathon. They would just be like
364
they wouldn’t really care about their body, because you need muscles to do things.” To this
365
student, muscular strength rather than cardiovascular fitness is critical to marathon.
366
The Procedural Knowledge Gap
Our analysis revealed a conceptual difference between the students in terms of their
Fo
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procedural fitness knowledge. In contrast to the fact that most students from all three knowledge
369
level groups demonstrated mastery of declarative fitness knowledge, they showed insufficient
370
procedural fitness knowledge. At the end of the open-coding process, we tallied the number of
371
the students who provided evidence of procedural knowledge components and the number of the
372
students who did not demonstrated any of the evidence. The tally results showed that 71.11%
373
(n=64) from the high-, 93.33% (n=98) from the medium-, and 100% (n=96) from the low-
374
declarative knowledge group did not present any procedural knowledge components.
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The procedural knowledge extracted from their interview responses was obscure and
376
demonstrated little operational structure or specific details for implementation. Meanwhile, most
377
interview responses including those from the high- and medium- declarative knowledge groups
378
did not exhibit adequate procedural knowledge that would match their declarative knowledge on
379
the overload and progression principles. They could recall the principles but were not able to
380
apply them to the situations presented to them in the interview questions about how they would
381
follow the principles to improve fitness. In contrast to the majority, a few students from the high-
382
(27.78%) and medium- (5.71%) declarative knowledge group demonstrated a mastery of the
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procedural knowledge. The analyzed interview responses demonstrated a pattern of
384
understanding of the components needed for them to set up personal goals, make a plan, follow
385
the fitness principles, build a social-support network, and monitor/evaluate their fitness and
386
health.
In the following, we will first present the evidence from the most students to provide a
388
picture of what is missing in their procedural knowledge repertoire. Then we will focus on the
389
themes emerging from the small group to illustrate a procedural fitness knowledge base that
390
these students claimed helped them develop and improve fitness and health. In so doing, we hope
391
to demonstrate to fellow physical educators the curricular gap that we may need to fill.
392
“Hm… Let Me Think How to Do It…”: The Procedural Knowledge Challenge
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Most students felt being challenged when being asked to illustrate the ability about how
ee
393
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to do something in physical activity. They were not able to show any procedural knowledge
395
beyond the most basics such as measuring heart rate to evaluate intensity. A seventh grader from
396
the medium declarative knowledge group explained, “(you can measure intensity) by taking your
397
pulse. Putting your fingers on the side of your neck or put them beside your thumb at your wrist,
398
right here (gesturing to the interviewer).” However, this student did not seem to understand the
399
question about what she needed to do to increase intensity to increase the heart rate.
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They often struggled with confusion in responding to application questions. For instance,
401
when a seventh grader from the high declarative knowledge group was asked about the overload
402
and progression principles, she could elaborate the two principles with little error. But when
403
asked to provide what she would do to apply the principles to her physical activity routine, she
404
could only repeat, “I try to go outside every day and do something. Whether it be just walking or
405
going out and riding my bike or something.” Clearly, how to apply the principles in her routine
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walking or biking was difficult for her to comprehend. The gap between her procedural and
407
declarative knowledge seemed to prevent her from seeing the way to implement these important
408
principles in her recreation-oriented physical activity routines.
409
The flawed procedural knowledge was sometimes worrisome because its implementation
could lead to injury or burnout. For instance, in responding to the question of how to apply the
411
overload principle to improve fitness for marathon, a six grader answered, “you can train
412
yourself by running…like sprinting a mile, then running a mile, then sprinting two miles then
413
running two miles.” An eighth grader from the high-declarative knowledge group shared his plan
414
to become stronger by declaring “(I) would add pounds each day like you did five one day then
415
ten the next day.” In an extreme case, one eighth grader from the medium declarative knowledge
416
group explained, “You might start (to) lift some weight … start out with 5 pounds then increase
417
to 15 then 20 pounds each week until your body responds. You just keep moving up each time,
418
because your body adapt to it with time.” These responses demonstrated a lack of understanding
419
for scientifically sound implementation with well-planned strategies or steps. These students
420
clearly wanted to follow the principle of overload but did not notice the specific requirements for
421
progressive overload (such as recovery) for planning time and frequency intervals to make
422
training relevant, safe, and effective.
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It is alarming to have found that these many students did not possess adequate procedural
424
knowledge that matches their declarative knowledge. While they were able to recall major fitness
425
concepts, critical principles, and benefits of physical activity, they seemed to have developed a
426
deep gap between the declarative knowledge and the procedural knowledge. The gap seems to
427
have led them to incorrect physical activity plans, physical activities that mismatch their fitness
428
goals, and potential of injuring themselves during physical activity.
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“Do It to Stay Healthy… Know How Is Important”
Then, what does a procedural fitness knowledge repertoire look like? Our analysis
431
revealed a small percentage of students in the high and the medium declarative knowledge
432
groups who displayed an understanding of procedural fitness knowledge. The knowledge was
433
characterized by detailed and step-by-step approach to fitness development and consisted of
434
these important components: duration and frequency, strategies on progression and overload,
435
dehydration prevention, dietary choices for specific type of activities, and/or seeking social
436
support. These components might form a curriculum platform for us to develop instructions to
437
teach middle school students.
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Duration & frequency. Those with procedural knowledge demonstrated procedural
knowledge about arranging a fitness program with detailed and appropriate duration and
440
frequency. An eighth grader from the medium declarative knowledge group said: “I exercises
441
mostly every day. I split an hour into 4 sections: 15 minutes of running, 15 minutes of exercising,
442
15 minutes to rotate the two, and 15 minutes just to have fun.” The answers from a seventh
443
grader from the high achievement group and an eighth grader from the medium group
444
emphasized the importance of “right” frequency in weight training:
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(I) make a schedule of all the workouts I’m gonna do, like… push-ups, sit-ups,
446
running…and make a schedule to do it every other day. Because if you do it every day
447
it’s straining your muscles, and they don’t have time to heal and grow. If you do it every
448
other day, you give them time to rest.
449
When (I do) weightlifting, (I) keep doing it at like a schedule. You can’t just do it every
450
other week.
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Applying the progression principle. A few students in the high- (n=15, 16.67%) and the
medium- (n=11, 10.48%) declarative knowledge groups demonstrated procedural knowledge
453
about the progression principle for both cardiovascular and/or musculoskeletal exercises. One
454
described her progression plan for push-up, “you could start with wall push-ups and then
455
gradually move to the floor (push-ups).” Another provided a detailed account of how he would
456
progress over time, “my goal is to be able to run two miles without stopping, by running at least
457
three days a week. (I will be) going out for a run, transitioning from walking to running. Each
458
week (I) make the walking shorter and the running longer.”
459
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Applying the overload principle. The few students from the high – (n=9, 10%) and the
rP
medium- (n=6, 5.71%) declarative knowledge groups specified the procedural meaning of the
461
overload principle in musculoskeletal and cardiovascular exercises. A seventh grader described:
462
“When I exercise, it might make me tired, but I just…in the middle of a set, I just think of a
463
number I’m on, like one, two, three, four, five but I just try to keep it all straight to trick my mind
464
into doing it.” Another echoed this procedural meaning in overcoming physical discomfort
465
during her cardiovascular exercise: “(when you run) you will soon start breathing harder and it
466
will take a while for you to get your energy back. But you still have energy to continue running.”
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Fitness nutrition and hydration. The students from the medium (n=5, 4.76%) and the
468
high (n=13, 14.44%) declarative knowledge groups also knew how to prevent dehydration in
469
physical activity and choose healthy diet for fitness and health. A sixth grader stated:
470
If I’m trying to run, I’ll eat something that will settle well like I don’t want to eat
471
Mexican food and I don’t want to eat like some of those things like chili... You kind of
472
want to eat like bread and soup and stuff like that so you’ll have a good energy. And,
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when you’re lifting weights and trying to get stronger, protein helps build muscle and get
474
stronger. And, the same with your leg muscles, protein will help you grow muscle.
475
Similarly, an eighth grader and a sixth grader both mentioned that it is important to stay
476
hydrated. The eighth grader also addressed the importance of consuming carbohydrates prior to
477
workouts.
(For) vigorous activity, (you) maybe (need) thirty seconds of rest in between those reps.
479
That’s pretty much it. Then you’d have to drink a lot of water, more than sixteen cups a
480
day, I would say for people my age. (You want to have) carbohydrates before your
481
workout, so you’ll actually have enough energy to lift during that workout.
482
Seeking social support. Only four students clearly recognized the significance of social
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support to achieve fitness goals. A seventh grader from the medium declarative knowledge group
484
pointed out, “My goal is to work out three times a week. My friend helps me out so I won’t get
485
lazy and slack off it.” Another eighth grader from the high declarative knowledge group shared a
486
similar strategy on seeking social support, “I make sure to tell my parents to remind me to maybe
487
do some push-ups at night or just anything that will help me stay healthy and fit.”
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Setting performance goals. We found that 11 students (12.22%) from the high- and
489
eight students (7.62%) from the medium-declarative knowledge group associated their
490
procedural fitness knowledge with explicit personal fitness goals. For instance, the eighth grader
491
who sought support from parents revealed that her personal goal was to be physically fit so as to
492
be selected to join the varsity volleyball team at the school. She stated with confidence:
493
My friends and I decided to try volleyball this year because we just wanted to see what it
494
was like. My goal (is) just staying fit, looking healthy, and not just trying to impress other
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people, just trying to impress myself by staying healthy. Just whatever needs to be
496
touched up on, just not giving up.
497
Many students who possessed procedural knowledge shared similar fitness goals for
498
extra-curricular activities. Another seventh grader elaborated his goal of improving his fitness for
499
the basketball season: “I work out every time I get home. I run around my neighborhood, do
500
push-ups, squats, and sit-ups. I want to get ready to play basketball.” A sixth grader who swam
501
competitively shared his training plan and goals,
I swim either for five times a week for one hour and forty-five minutes (each day) and
503
then if I don’t, I will usually run around the block or something. (My goal is to) make it
504
to the Junior Olympics this year. I want to do that by working really hard and going five
505
days a week.
506
Most students’ goals were to achieve athletic competitiveness, while a small number of
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502
students’ goals were for personal fitness development. For example, a female seventh grader
508
from the high declarative knowledge group stated:
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I want to do as many days in my healthy activity log as I can. So I’ll try to do five days
510
this week then five days the next week. If you’ve done it all that except for two days (per
511
week) in the school year, you get to go on a pride trip at the end of the year.
512
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An eighth grader specified,
513
“My goal… before this year is over, I want to be able to do push-ups well instead of
514
doing the girl (knee) push-ups. And I want to see a change in my body with how I eat and
515
how active I am when I exercise on a regular day basis.”
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516
A seventh grader from the high declarative knowledge group elaborated, “I have like a
517
weightlifting set at my house, and I work out every two days and lift weights. I made a bet with
518
my brother that I’d be benching 250 lbs. by the time I’m in high school.”
519
Sources of Knowledge
In the interviews we asked the students to identify their sources of information. Although
521
majority of the students were not able to provide definitive answers, the few with the procedural
522
knowledge did identify physical education and community organizations as sources of
523
information for both declarative and procedural fitness knowledge. For example, we often
524
followed their answers with probe questions about information sources such as, “Is this a
525
physical education assignment?” or “How did you know about this?” Most students would say “I
526
don’t know…” But some were able to elaborate. For instance, the student who wanted to log in
527
as many exercise days in her healthy activity log said that keeping physically active outside
528
physical education was an assignment for physical education:
ev
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Yes, each week you have to do three days of physical activity outside of school and then
530
you write it down and keep track of it. You have to write down what you did, stretch,
531
anaerobic activity and aerobic activity, and then your nutrients, and something like I got
532
nine hours of sleep or I didn’t drink soda today and limited my electronic times (to) one
533
hour.
534
Some students identified community groups such as the Boy Scouts’ fitness camp and its
iew
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535
fitness merit badge programs as information sources that helped them informed about their
536
personal fitness goals. Thus, in addition to physical education and extra-curricular
537
sports/athletics, other community-based programs might have served the students as the learning
538
context in which they could also receive information for fitness-related knowledge.
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539
Discussion
540
The purpose of this study was to identify middle school students’ mastery of fitness
knowledge on both declarative and procedural dimensions. Knowing fitness knowledge has been
542
widely recognized by many researchers and educators as a foundation for promoting physically
543
active behaviors and enhancing fitness level. Nevertheless, as counterintuitive as this may seem,
544
research evidence has indicated that improving students’ fitness knowledge does not, at least
545
directly, contribute to their behavioral change to become more physically active (Demetrious et
546
al., 2015). The disjunction between knowing and doing presents a challenge to physical
547
education teachers and researchers and urges us to find the missing link through re-examining
548
the theoretical reasoning based on which researchers and educators construct physical education
549
interventions and instruction.
ee
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541
Education researchers (Renkl, Mandl, & Gruber, 1996; Perkins & Salomon, 2012) have
551
come to recognize that, across subject domains, students could demonstrate knowledge mastery
552
in the classroom but may not apply the knowledge in real life. The term "inert knowledge" has
553
been used for a long time in education to describe the knowledge that students can possess but
554
incapable to transfer from its declarative form to procedural form (Whitehead, 1929). Scholars
555
have identified two conditions under which inert knowledge persists. The first condition
556
identifies the absence of to-be-applied knowledge as the foremost important condition that leads
557
to the incapability of transfer from declarative to procedural (Renkl et al., 1996). The second
558
condition underlines the importance of motivational factors by specifying “cold motivational
559
environment” as the contributor of inert knowledge (Belenky & Nokes-Malach, 2012; Perkins &
560
Salomon, 2012). Based on these conceptualization, we explain our findings in relation to the
561
declarative-procedural disconnection.
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Journal of Teaching in Physical Education
From Fitness Knowledge to Fitness Activities
562
Availability of the to-be-applied knowledge. Our data suggest that a lack of the ready
to-be-applied knowledge, including declarative and procedural fitness knowledge, is responsible
564
for the difficulty the students displayed in applying the knowledge (Renkl et al., 1996). Students
565
must be fully equipped with both declarative and procedural knowledge “in correct and ready-to-
566
be-used form” for actual application (Renkl et al., 1996, p. 116). For fitness knowledge, the
567
principles of overload, progression and specificity – the declarative knowledge – provide
568
conceptual guidance for fitness routines development. Without mastering the declarative
569
knowledge, it is not possible for learners to establish a scientifically sound fitness routine and
570
perform it consistently. As the findings indicate, most students across the three declarative
571
knowledge groups could only successfully elaborate the overload and progression principles but
572
not the specificity principle. Without solid mastery of declarative knowledge on all three
573
principles, an application of procedural fitness knowledge associated with the principles would
574
be infeasible.
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Some knowledge domains, including biology, physics, mathematics, and sports, are
576
distinctive in that they are more procedurally rich than other domains (Dochy & Alexander,
577
1995). In the same vein, fitness knowledge is procedurally rich in that each of its principles
578
connects with a different set of contextual and operational factors. Taking the overload principle
579
as an example, following it requires the individual to physically challenge oneself in order to
580
gain fitness benefits. When one executes the principle without following the progression
581
principle at the same time, overtraining may occur to cause injuries; which leads to opposite
582
outcomes. Even with solid declarative fitness knowledge, individuals still need to answer a
583
number of procedural questions in order to implement the overload principle successfully. These
584
questions include but not limited to “To what extent should individuals overload themselves?”
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“How long should the overload condition last?” and “How frequently should it be performed?”
586
Moreover, the implementation of the overload principle never follow a one-size-fits-all model.
587
For instance, a student who just began a fitness development program can be physically and
588
mentally overwhelmed by an overloading task that his or her well-trained peers who can perform
589
with ease. Without sufficient procedural fitness knowledge, students are likely to encounter
590
implementation challenges.
591
Procedural goal. The second important condition that contributes to inert learning is the
absence of motivational factors, such as personal goals aligned with the knowledge, values
593
attached to the knowledge and self-efficacy (Renkl et al., 1996; Belenky & Nokes-Malach, 2012;
594
Perkins & Salomon, 2012). In other words, a “cold” or overly rational learning environment that
595
focuses only on knowledge mastery without relating to the “warm” motivational factors may not
596
benefit students’ learning of procedural knowledge (Pintrich, Marx & Boyle, 1993). Our findings
597
seem to lend a strong support to this theoretical point. Students may not be ready to develop
598
procedural fitness knowledge if they acquire the declarative fitness knowledge without a strong
599
motivational drive for application.
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600
Fo
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The evidence also indicates that the students in this study had difficulty understanding
601
and applying the specificity principle and showed limited mastery of procedural fitness
602
knowledge. It confirms the hypothesized disconnection between declarative and procedural
603
fitness knowledge. The evidence further reveals that students with a clearly specified goal
604
demonstrated a mastery of procedural fitness knowledge. It potentially suggests that a clearly
605
defined goal serves as a strong determinant in fitness knowledge by attaching tangible
606
declarative fitness knowledge components to specific actions. Through learning the principle of
607
specificity, students can explore the potential gains their bodies could achieve, for a muscle
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Human Kinetics, 1607 N Market St, Champaign, IL 61825
Journal of Teaching in Physical Education
From Fitness Knowledge to Fitness Activities
608
group, a body system, or an energy system. The knowledge allows them to identify a fitness
609
goal, which further their exploration and acquisition of procedural fitness knowledge. In other
610
words, having a fitness goal affords them a clear knowledge path to navigate, discover,
611
and identify with knowledge about how to train (procedural knowledge), and practice them
612
according to the training principles (declarative knowledge) they already know.
613
We speculate that with deep understanding of personal fitness goals a student can
meaningfully proceduralize the declarative knowledge, design meaningful fitness training
615
practices, and successfully apply what is learned in physical education outside of the school
616
gymnasia (Ennis, 2017). Our findings, on the other hand, raise a precaution against the notion
617
that goals can be developed in isolation from knowledge learning. The results of this study
618
indicate that not all the students who participated in extra-curricular sports/athletics had well-
619
defined athletics- or fitness-related goals and mature procedural knowledge to achieve them. We
620
speculate that the goals have to be developed along with scientifically sound knowledge to
621
function well as relevant procedural knowledge.
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Conclusions
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623
Almost two decades ago, Placek and colleagues (2001) thoroughly evaluated middle
624
school students’ conceptions of fitness as very limited in scope and shallow in depth. In the
625
findings of this study, we are witnessing encouraging improvement on student learning of fitness
626
knowledge. The middle school students across all three declarative knowledge groups
627
demonstrated acceptable understanding of the overload and progression principles and physical
628
adaptation as a positive physical activity outcome. Nevertheless, the findings also suggest that
629
we are still “on the long road” (Placek et al., 2001, p. 314). For most students, critical declarative
630
and procedural fitness knowledge components are still lacking, which we may assume to be a
28
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631
contributing factor to students’ inability to engage in regular physical activity. The critical link
632
between knowing and action, the procedural knowledge, is missing, which prohibits them to
633
transfer conceptual fitness knowledge to physically active behaviors. The findings clearly
634
challenge us to critically review physical education curriculum to address the missing link
635
between declarative-procedural fitness knowledge in every lesson. By doing so, we can provide
636
physical education as a transformative experience that is mindful, meaningful, and motivating to
637
our students (Ennis, 2017).
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Table 1
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Descriptive Statistics on Declarative Knowledge and Group Membership
Mean
Standard Deviation
Low
Medium
High
6th grade
5.26
2.06
41
39
28
7th grade
5.51
2.06
30
35
27
8th grade
6.04
2.49
25
31
35
Male
5.59
2.33
48
40
42
Female
5.59
2.13
48
65
48
iew
ev
rR
ee
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Fo
726
Grade
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