Classroom Use of Multimedia-Supported Predict Observe Explain Tasks

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Current Events No.3
Miha Lee
Classroom Use of Multimedia-Supported Predict–Observe–Explain
Tasks in a Social Constructivist Learning Environment
By Matthew Kearney
From Research in Science Education 34: 427–453, 2004.
This research paper talks about the effectiveness of using multimedia-supported
POE tasks to facilitate small group learning conversations at the physics class. The
collaborative students’ discussion is focused on to provide a peer learning opportunity
for students. So the research is a kind of interpretive study adopting a social
constructivist perspective to analyze and interpret the students’ conversations. The
researcher investigated students’ articulation and justification of their own science
conceptions, clarification of and critical reflection on their partners’ views, and
negotiation of new, shared meanings. He made a conclusion that the computer-based
POE tasks supported students’ peer learning conversations, particularly during the
prediction, reasoning and observation stages of the POE strategy.
The POE method is a teaching-learning strategy proposed by White and Gunstone
(1992), which includes three stages: Prediction, Observation, and Explanation. At the
Predication stage students make predictions and justifications about the expected
results of experiment that are supposed to do in the next stage. And then they observe
attentively the scientific phenomena doing or watching experiments at the phase of
Observation. In the third stage they have to compare the their observations with
predictions, and they explain the observations with their own knowledge. The most
powerful strength of using the POE method is that if it is used as a diagnostic tool to
elicit students’ pre-instructional knowledge and conceptions, it helps teachers design
the next teaching for the purpose of meeting students’ levels. Furthermore, if active
discussions among students are used properly at the stage where students are trying to
explain any discrepancies between predictions and observations, the POE process can
be an effective teaching strategy to facilitate students’ understanding of concepts.
This paper is a part of series that the author’s doctoral study in which he
investigated the design and classroom use of computer-mediated POE tasks. So I feel
like that he put a lot of efforts and time into this study. He employed various methods to
collect rich quality data from the conversations of students and teacher interviews,
which makes this research valuable in science education. In this paper students were
learning about force and motion focusing on projectile motion, and the POE strategy
was used to structure the students’ engagement with the digital video clips. Although
the author didn’t focus on the conceptual changes of students, I have learned the
strength of the POE process in teaching science from this paper. For example, when
students make their predictions of the results, they need to retrieve their prior
knowledge relating to the experiments. So this phase offers students the opportunity to
think about their readiness of learning. And in the observation phage, they may find out
their predictions wrong. To explain any discrepancies between the predictions and the
observations, they seek other ideas and can revise their ideas.
Moreover, the discussion with peers through the three phases of the POE tasks
affords the students the valuable learning experiences. Students need to articulate their
ideas to talk with peers and evaluate the peer’s ideas to make a meaningful response. In
this process, they can learn something from listening to their partner’s view. If they are
just by themselves, they do not have an opportunity to make them think about the
findings a lot more. Actually, this collaborative decision making process encountered
during the computer-based the POE tasks is the focal point of this research paper.
Students participating in this study obviously valued each other’s ideas and used them
to reflect on the viability of their own conceptions.
On the other hand, using computer-based digital video clips instead of real
experiments provides students with many advantages in learning science. In Kearney’s
other paper (Kearny, Treagust, Yeo, & Zadnik, 2001), he found three principal
affordances of multimedia-based POE tasks. First, the computer environment affords
student control over the pacing of the POE tasks and also facilitates student control
over the presentation of the video-based demonstrations. Second, using digital videobased demonstrations in the observation phase of the POE strategy offers students a
refined tool to make detailed and clinical observations of physical phenomena and hence
enhances the quality of feedback on their earlier predictions. Third, the real-life
physical settings depicted in the video-clips provide interesting and relevant contexts
for the students.
To be specific, I have found some advantages of using computer-based video clips
as follows. First, students can go back to the previous step as many times as they want
at the prediction stage to change their predications as they came to reach new
agreement through their discussion. Second, they are able to observe experiments as
many times and closely as they want because digital video clips have many useful
functions which help students have control over the play. Third, the digital video clips
give students more accurate results of the experiments. Usually, students don’t have
well enough experimental skills to get accurate results, but video clips produced by
experts show quality results. In addition, the real-life video clips, not laboratory
situation, served as a particularly effective ‘backdrop’ for the reflective discussions
during the observation phase of the POE tasks.
Overall, this paper gave me a lot of useful information regarding teaching science
with the computer based POE tasks. However, because I don’t have enough knowledge
about the Constructivism, it’s difficult to fully appreciate this qualitative research of
analyzing students’ conversations and gestures. Frankly speaking, I wonder what the
role of teachers is in this research. Only designing the POE tasks and providing learning
experience from the discussion with peers are not sufficient for acting as a teacher
because some explains generated by students in this paper were scientifically wrong.
What should we teachers do to correct these wrong ideas? From the social
constructivists’ perspective, learners construct (rather than acquire) their own
knowledge, strongly influenced by what they already know (Driver & Easley, 1978).
Consequently, students are considered to learn science through a process of
constructing, interpreting and modifying their own representations of reality based on
their own experiences. So I think we teachers need to ponder about how to provide
students meaningful experiences to challenge their false or alternative conceptions. In
sum, the POE strategy is a useful kind of teaching method in science education, but
teachers should make an effort to design the POE tasks that fit in the content and the
goal of class. Therefore, I am designing the POE tasks for my project to teach my
school students about the properties of metal.
References of this research paper
Blumenfeld, P., Marx, R., Soloway, E., & Krajcik, J. (1996). Learning with peers. From small group
cooperation to collaborative communities. Educational Researcher, 25(8), 37–40.
Bogdan, R., & Biklen, S. (1998). Qualitative research for education. An introduction to theory and
methods. Boston: Allyn and Bacon.
Carr,M. (1991).Methods for studying personal construction. In B. Fraser (Ed.), Key centre monograph No.
3 (pp. 16–22). Perth, Western Australia: Key Centre for School Science and Mathematics.
Champagne, A., Klopfer, L., & Anderson, J. (1980). Factors influencing the learning of classical
mechanics. American Journal of Physics, 48(12), 1074–1079.
Crooks, C. (1999). Computers in the community of classrooms. In K. Littleton & P. Light (Eds.),
Learning with computers. Analysing productive interaction (pp. 102–117). London and New York:
Routledge.
Driver, R., & Easley, J. (1978). Pupils and paradigms: A review of literature related to concept
development in adolescent science students. Studies in Science Education, 5, 61–84.
Driver, R., & Scott, P. (1996).Curriculumdevelopment as research:A constructivism approach to science
curriculum development and teaching. In D. F. Treagust,
R. Duit, & B. J. Fraser (Eds.), Improving teaching and learning in science and mathematics (pp. 94–108).
New York and London: Teachers College Press.
Driver, R., Asoko, H., Leach, J., Mortimer, E., & Scott, P. (1994). Constructing scientific knowledge in
the classroom. Educational Researcher, 23(7), 5–12.
Duit, R., & Confrey, J. (1996). Reorganising the curriculum and teaching to improve learning in science
and mathematics. In D. F. Treagust, R. Duit, & B. J. Fraser (Eds.), Improving teaching and
learning in science and mathematics (pp. 79–93). New York and London: Teachers College Press.
Duit, R., Treagust, D., & Mansfield H. (1996). Investigating student understanding as a prerequisite to
improving teaching and learning in science and mathematics. In D. F. Treagust, R. Duit, & B. J.
Fraser (Eds.), Improving teaching and learning in science and mathematics (pp. 17–31). New York
and London: Teachers College Press.
Escalada, L., & Zollman, D. (1997). An investigation on the effects of using interactive digital video in a
physics classroom on student learning and attitudes. Journal of Research in Science Teaching,
34(5), 467–489.
Guba, E., & Lincoln, Y. (1981). Effective evaluation. London: Jossey-Bass.
Guba, E., & Lincoln, Y. (1989). Fourth generation evaluation. London: Sage Publications.
Harper, B., & Hedberg, J. (1997, December). Creating motivating interactive learning environments: A
constructivist view. Paper presented at the annual meeting of the Australasian Society for
Computers in Learning in Tertiary Education, Perth, Australia.
Jonassen, D., & Reeves, T. (1996). Learning with technology: Using computers as cognitive tools. In D.
Jonassen (Ed.), Handbook of research for educational communications and technology (pp. 693–
719). New York: Macmillan.
Kearney, M. (2002). Classroom use of multimedia-supported predict–observe–explain tasks to elicit and
promote discussion about students’ physics conceptions.
Unpublished PhD dissertation, Curtin University of Technology, Perth, Australia.
Kearney, M., & Treagust, D. F. (2001). Constructivism as a referent in the design and development of a
computer program which uses interactive digital video to enhance learning in physics. Australian
Journal of Educational Technology, 17(1), 64–79.
Kearney, M., & Wright, R. (2002). Predict–Observe–Explain eShell. Retrieved September 17, 2003, from
http://www.learningdesigns.uow.edu.au/
Kearney, M., Treagust, D. F., Yeo, S., & Zadnik, M. (2001). Student and teacher perceptions of the use of
multimedia supported predict–observe–explain tasks to probe understanding. Research in Science
Education, 31(4), 589–615.
Koschmann, T. (1994). Toward a theory of computer support for collaborative learning. The Journal of
the Learning Sciences, 30(3–4), 219–221.
Kozma, R. (2000). The use of multiple representations and the social construction of understanding in
chemistry. In M. Jacobson & R. Kozma (Eds.), Innovations in science and mathematics education.
Advanced designs for technologies of learning. A constructivism perspective (pp. 11–46). Mahwah,
NJ: Lawrence Erlbaum.
Linn, M. (1998). The impact of technology on science instruction: Historical trends and current
opportunities. In B. Fraser & K. Tobin (Eds.), International handbook of science education (pp.
265–294). Dordrecht, The Netherlands: Kluwer.
Lin, X., Hmelo, C., Kinzer, C., & Secules, T. (1999). Designing technology to support reflection.
Educational Technology Research & Development, 47(3),43–62.
Linn, M., & Hsi, S. (2000). Computers, teachers, peers. Science learning partners. Mahwah, NJ:
Lawrence Erlbaum.
McRobbie, C., & Tobin, K. (1997). A social constructivism perspective on learning environments.
International Journal of Science Education, 19(2), 193–208.
Merriam, S. (1988). Case study research in education. A qualitative approach. London: Jossey-Bass
Publishers.
Pea, R. (1993). Learning scientific concepts through material and social activities: Conversational
analysismeets conceptual change. Educational Psychologist,28(3), 265–277.
Prawat, R. (1993). The value of ideas: Problems versus possibilities in learning. Educational Researcher,
22(6), 5–12.
Roth, W., Woszczyna, C., & Smith, G. (1996). Affordances and constraints of computers in science
education. Journal of Research in Science Teaching, 33(9), 995–1017.
Russell, D., Lucas, K., & McRobbie, C. (1999, November). Microprocessor based laboratory activities
as catalysts for student construction of understanding in physics. Paper presented at the annual
meeting of the Australian Association for Research in Education, Melbourne, Australia.
Salomon,G., & Almog, T. (1998). Educational psychology and technology: A matter of reciprocal
relations. Teachers College Record, 100(1), 222–241.
Salomon, G., Perkins, D., & Globerson, T. (1991). Partners in cognition: Extending human intelligence
with intelligent technologies. Educational Researcher, 20(3),2–9.
Solomon, J. (1987). Social influences on the construction of pupils’ understanding of science. Studies in
Science Education, 14, 63–82.
Stake, R. (1995). The art of case study research. London: Sage Publications.
Taber, K. (1999). Ideas about ionisation energy: A diagnostic instrument. School Science Review, 81(295),
97–104.
Tao, P. K. (2000, April). Computer supported collaborative learning: Developing understanding of
image formation by lenses. Paper presented at the annual general meeting of the National
Association for Research in Science Teaching, New Orleans, LA.
Tao, P. K., & Gunstone, R. (1999a). Conceptual change in science through collaborative learning at the
computer. International Journal of Science Education, 21(1), 39–57.
Tao, P. K., & Gunstone, R. (1999b). The process of conceptual change in force and motion during
computer-supported physics instruction. Journal of Research in Science Teaching, 36(7), 859–882.
Taylor, P., Fraser, B., & White, L. (1994, April). A classroom questionnaire for science educators
interested in the constructivism reform of school science. Paper presented at the annual meeting of
the National Association for Research in Science Teaching, Anaheim, USA.
Weller, H. (1996). Assessing the impact of computer-based learning in science. Journal of Research on
Computing in Education, 28(4), 461–485.
White, R. (1988). Learning science. Oxford, UK: Basil Blackwell.
White, R., & Gunstone, R. (1992). Probing understanding. London and New York: The Falmer Press.
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