How students read an e‐textbook in an engineering course.

Time on task has been recognized as an important variable in academic learning, but self‐report measures of study time are problematic. Therefore, this study employs an automated system for recording time spent reading a course textbook. College students in an introductory engineering course accesse...

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Publicado en:Journal of Computer Assisted Learning Vol. 34; no. 6; pp. 701 - 713
Autores principales: Gyllen, J., Stahovich, T., Mayer, R.
Formato: equations & formulas pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell Dec2018
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Dec2018
      vid: 34
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1111/jcal.12277
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        atl: How students read an e‐textbook in an engineering course.
      aug:
        au:
          Gyllen, J.
          Stahovich, T.
          Mayer, R.
        affil: Department of Mechanical Engineering, Bourns College of Engineering, University of California, Riverside, CA, USA
      sug:
        subj:
          Students, College
          Electronic Books
          Engineering Education
          Reading Evaluation
          Task Performance and Analysis
          Internet
          Human
          Funding Source
          Textbooks
          Teaching
          Students, Undergraduate
          Colleges and Universities
          Male
          Female
          Problem Solving
          Time Factors
          Male
          Female
      ab: Time on task has been recognized as an important variable in academic learning, but self‐report measures of study time are problematic. Therefore, this study employs an automated system for recording time spent reading a course textbook. College students in an introductory engineering course accessed their textbook online. The book contained pages of instructional text, worked examples, homework problems, and answers to homework problems. An instrumented document reader program called "STL Reader" recorded the time each student spent on each page, thus providing detailed measures of reading habits. Across the 10‐week course, students spent an average of 1.9 hr reading instructional text, 1.4 hr on worked examples, 22.1 hr on homework problems, and 0.9 hr on homework answers, indicating a preference for practicing to solve test problems (i.e., self‐testing) rather than being told (i.e., receiving direct instruction). Furthermore, course grade (based largely on solving problems on exams and quizzes) correlated significantly and positively with time viewing homework problems, but not with time viewing either instructional text or worked examples, indicating that achievement was related to time spent practicing for solving test problems but not to time spent being instructed. Results suggest a revision of the time‐on‐task hypothesis to include the value of spending time on tasks aligned to test requirements. Lay Description: What is currently known?: Time‐on‐task theory states that students' time engaged in relevant material is an important factor in learning and achievement.How students choose to process presented information is important for academic learning.Undergraduate STEM students often read very little of the assigned course textbook. What this paper adds: Technology‐enhanced data collection provides more accurate measure of students' engagement with e‐textbook.Time spent viewing homework problems is significantly and positively related to achievement in an undergraduate engineering course.Student grades were not positively correlated with time spent viewing instructional text or worked examples from the textbook. Implications: Suggests revision of time‐on‐task hypothesis to include the value of spending time on tasks aligned to test requirements.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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