Process data from electronic textbooks indicate students' classroom engagement
| Autor: | Anselm Strohmaier, Stefan Hoch, Tina Seidel, Kristina Reiss, Frank Reinhold, Ricardo Böheim |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Social Psychology
Process (engineering) media_common.quotation_subject Language of mathematics Process data Time on task Electronic learning Education Cluster analysis Developmental and Educational Psychology Mathematics education Fractions 0501 psychology and cognitive sciences Quality (business) Mathematics instruction media_common Engagement Unobtrusive measurement Educational science 05 social sciences 050301 education Authentic learning Psychology 0503 education 050104 developmental & child psychology |
| Zdroj: | Reinhold, F, Strohmaier, A, Hoch, S, Reiss, K, Böheim, R & Seidel, T 2020, ' Process data from electronic textbooks indicate students' classroom engagement ', Learning and Individual Differences, vol. 83-84, 101934 . https://doi.org/10.1016/j.lindif.2020.101934 |
| ISSN: | 1041-6080 |
| DOI: | 10.1016/j.lindif.2020.101934 |
| Popis: | Electronic learning environments used in mathematics lessons offer new ways to assess and analyze students' classroom engagement during authentic learning settings. In this study, we investigated students' electronic textbook-use as a measure for their individual engagement during mathematics instruction. To this end, we combined quantity measures (i.e., time on task, text length) and quality measures (i.e., on topic, mathematically valid, mathematical language used). Cluster analysis based on process data of 253 six-graders—who worked on three writing-to-learn exercises during fraction instruction—revealed four different clusters that we ordered hierarchically in terms of engagement, revealing gender differences in favor of girls. Analyses showed negligible differences in prior knowledge between the clusters, yet significant achievement differences in a posttest—with higher engaged clusters reaching higher outcomes. Our approach offers a viable way to unobtrusively measure students' classroom engagement utilizing process data from electronic textbooks. |
| Databáze: | OpenAIRE |
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