1 PALS Assessment and English Language Learners in Nevada Introduction In the article Using literacy assessment results to improve teaching for English-language learners by Lori Helman (2005), Ms. Helman examines how data from the Phonological Awareness and Literacy Screening (PALS) assessment can be used to inform the instruction of English Language Learners (ELLs). A total of 18,024 first- through third grade students from 52 low-performing high-poverty schools in Nevada participated in the study (Helman, 2005, p. 669). Nearly half of the participants, 47.5%, were Hispanic Americans (Helman, 2005, p.669). The schools in the study were part of a group that partnered with the Nevada Reading Excellence Act (NREA) to implement a variety of literacy based instructional improvement activities (Helman, 2005, p.669). Using the data from the PALS, Ms. Helman explores the district-wide trends, general developmental characteristics of students at different scoring ranges, and specific instructional strategies for individual students with a focus on ELLs (Helman, 2005). As a reading specialist, the data collected and analyzed in the article has many implications. First, reading specialists, along with district and school leaders, can review district-wide data to determine areas of inequality. Secondly, programs and practices can be aligned and implemented to meet the needs of the identified group(s) and to address specific instructional weaknesses. Next, professional development and support can assist teachers in providing appropriate tier 1 and tier 2 instruction to meet identified needs. Finally, the development of individual education plans and progress monitoring of identified students can be accomplished using the data gained from the PALS assessment. 2 Critical Analysis The article highlights the findings of several levels of data analysis. Using the PALS results for the district, it became apparent to the author that not all student groups were meeting the required literacy benchmarks at the same rate (Helman, 2005, p. 669). Consistently from first to third grade, approximately 50% of Hispanic American students were not meeting the benchmark, over double the number of English Only (EO) students identified as below expectations (Helman, 2005 p. 670). This may imply that the instructional programs in place are inadequate at meeting the needs of the English-language learners. The use of PALS data for this purpose, can be helpful in getting a “pulse” on how a district is doing to meet their subgroups. The article does not address the design of the Second Language program, or the number of English as a Second Language (ESL) teachers employed compared to the population. These factors may contributed to the discrepancy in achievement between ELLs and EOs. The next level of data analysis was in using the data to group students by developmental levels. Helman (2005) provides descriptions of students considered emerging, beginning, and beyond beginning readers (p. 670). Students were categorized into these three levels using the entry-level summed score of the PALS data (Helman, 2005, p. 670). Because students at each level present unique developmental behaviors, these levels can be helpful in understanding where students are performing in the continuum of literacy learning. It provides a point of reference for teachers to determine what students can currently do, and what may be appropriate for them to learn next. It also allows teachers to gain insight into why students achieve at a certain level on specific tasks. This generalized grouping of students; however, should be used with caution. Developmental practices may limit students’ opportunities to experience on-grade level instruction, and can, in fact, keep students from meeting higher standards for learning. 3 The final level of data analysis consisted of looking at individual data to determine personalized instruction. To accomplish this task, Helman (2005) looked at the case studies of two ELLs with similar PALS summed scores (p. 671). This in-depth examination allowed the author to determine some possible practices to support the students’ learning (Helman, 2005, pp. 671-672). Careful investigation of the data provided insight into each student’s reading strengths and weaknesses (pp. 671-672). Going well beyond the summed score, each task was studied to determine exactly what practices may benefit the students (Helman, 2005, 673). The use of this data to inform instructional practices can be a powerful tool in accelerating student learning; however, teachers would need training on understanding the data and the implications to their teaching. In addition, structures would need to be in place that allow for differentiation. Reading specialists can be helpful in providing support to teachers as they learn to analyze the data. Application Our school district uses the PALS assessment for all kindergarten through second grade students, as well as, designated students in third grade. Currently we use the PALS to determine instructional groupings, identify students in need of literacy support, and to determine student weaknesses in reading. We have not specifically pursued the use of PALS to inform instructional decisions for our ELLs, nor have we provided in-depth training on what the data means for instruction. Based upon this reading, there are many implications for the use of the data at the district, school, and student levels. PALS can be a valuable tool for building capacity across your school. First, our school district would benefit from a detailed examination of the data to determine the performance of our identified subgroups. This information could be helpful in evaluating current instruction, 4 and may lead to adjustments if inequalities are noted. Secondly, to align programs and practices, reading specialist can partner with ESL teachers and classroom teachers to interpret the scores of Second-language learners. This could lead to a deeper understanding of how ELLs learn English while raising awareness of the impact home language has on literacy learning. Next, professional development can be offered to improve tier 1 and tier 2 instruction. Leading discussion around the data, and sharing best practices and strategies can address specific areas of opportunities. Finally, empowering teachers to use the data to inform individual instruction allows the students to receive a customized plan designed to meet their unique needs. 5 References Helman, L.A. (2005). Using literacy assessment results to improve teaching for Englishlanguage learner. Reading Teacher, 58(7), 668-677