Instructional Science

Advances in graphing technologies and learning sciences pedagogy have the potential to equitably support students when exploring complex systems depicting dynamic relationships across multiple disciplinary topics in Science, Technology, Engineering, and Mathematics (STEM). We report on the cumulative impact of science units designed in a Research Practice Partnership (RPP) that leveraged Knowledge Integration (KI) pedagogy to support middle school students to generalize insights to new graph representations and science topics. Teachers across 11 schools incorporated the graph-science units into their curriculum plans. We analyzed ~ 8000 responses to validated and reliable graph-science KI assessment items administered before the first year and after one, two, or three years of instruction aligned with KI pedagogy. With random coefficient, multi-level, mixed-effect regression modeling, we analyzed performance after one-, two-, and three-years of graph-science KI instruction. We also analyzed the growth trajectories of subgroups, i.e., multilingual learners. Data suggest two years of graph-science KI instruction is needed to make significant impacts on student learning and ameliorated the disparity between students with different native language fluencies. These results illustrate the value of technology-enhanced, pedagogically aligned K-12 science instruction that is designed to support connecting diverse graph data and science knowledge comprehensively and cumulatively.

Comparison is an important mechanism for learning in general, and comparing two worked examples has garnered support over the last 15 years as an effective tool for learning algebra in mainstream classrooms. This study was aimed at improving our understanding of how Modified for Language Support-Worked Example Pairs (MLS-WEPs) contribute to effective mathematics learning in an ESOL (English to Speakers of Other Languages) context. It investigated a novel instructional approach to help English Learners (ELs) develop better understanding in mathematical reasoning, problem solving, and literacy skills (listening, reading, writing, and speaking). Findings suggest that MLS-WEPs not only enhanced ELs’ ability to solve algebra problems, but it also improved their written explanation skills and enabled them to transfer such skills to different mathematical concepts. Moreover, when controlling for ELs’ prior knowledge, the effectiveness of the MLS-WEPs intervention for performing and explaining calculations did not vary by their English proficiency.

Research has shown that, in general, students are treated differently on the basis of their achievement levels and ethnicity. Such differential treatment might also result in the administration of different learning materials, and so far, not much is known about how teachers choose these materials for different students. In two vignette studies, we investigated which student factors influence teachers’ choice of materials. In Study 1, preservice teachers were asked to choose between an easy or difficult instructional video with the same content in response to vignettes that differed by students’ ethnic minority or majority background. In Study 2, preservice teachers could choose between text or video materials with the same content. The student descriptions varied systematically in achievement (high vs. low) and ethnic background (minority vs. majority). The results of Study 1 showed that ethnic minority background students were significantly more often given the easy video than ethnic majority background students. In Study 2, the results showed that student achievement was the crucial factor. Low-achieving students were given the video significantly more often, whereas high-achieving students were more often given the text. Both studies provide initial insights into how teachers’ material choice might be influenced by student characteristics.