Analyzing the impact of course structure on electronic textbook use in blended introductory physics courses
| Autor: | Saif Rayyan, Gerd Kortemeyer, Yoav Bergner, Daniel T. Seaton, David E. Pritchard |
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| Přispěvatelé: | Massachusetts Institute of Technology. Department of Physics, Massachusetts Institute of Technology. Research Laboratory of Electronics, Seaton, Daniel, Seaton, Daniel T., Bergner, Yoav, Rayyan, Saif, Pritchard, David E. |
| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Physics
Structure (mathematical logic) business.industry media_common.quotation_subject Physics education General Physics and Astronomy Course (navigation) Formative assessment Summative assessment Reading (process) Mathematics education ComputingMilieux_COMPUTERSANDEDUCATION Electronic publishing business Set (psychology) media_common |
| Zdroj: | Prof. Pritchard via Barbara Williams |
| Popis: | We investigate how elements of course structure (i.e., the frequency of assessments as well as the sequencing and weight of course resources) influence the usage patterns of electronic textbooks (e-texts) in introductory physics courses. Specifically, we analyze the access logs of courses at Michigan State University and the Massachusetts Institute of Technology, each of which deploy e-texts as primary or secondary texts in combination with different formative assessments (e.g., embedded reading questions) and different summative assessment (exam) schedules. As such studies are frequently marred by arguments over what constitutes a “meaningful” interaction with a particular page (usually judged by how long the page remains on the screen), we consider a set of different definitions of “meaningful” interactions. We find that course structure has a strong influence on how much of the e-texts students actually read, and when they do so. In particular, courses that deviate strongly from traditional structures, most notably by more frequent exams, show consistently high usage of the materials with far less “cramming” before exams. National Science Foundation (U.S.) (Grant DUE-1044294) Google (Firm) |
| Databáze: | OpenAIRE |
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