Exploring students learning behavior with an interactive etextbook in computer science courses

被引:36
|
作者
Fouh, Eric [1 ]
Breakiron, Daniel A. [1 ]
Hamouda, Sally [1 ]
Farghally, Mohammed F. [1 ]
Shaffer, Clifford A. [1 ]
机构
[1] Virginia Tech, Dept Comp Sci, Blacksburg, VA 24061 USA
基金
美国国家科学基金会;
关键词
eTextbook; Learning behavior; Mobile learning; Computing education;
D O I
10.1016/j.chb.2014.09.061
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
We present empirical findings from using an interactive electronic textbook (eTextbook) system named OpenDSA to teach sophomore- and junior-level Computer Science courses. The web-based eTextbook infrastructure allows us to collect large amounts of data that can provide detailed information about students' study behavior. In particular we were interested in seeing if the students will attempt to manipulate the electronic resources so as to receive credit without deeply going through the materials. We found that a majority of students do not read the text. On the other hand, we found evidence that students voluntarily complete additional exercises (after obtaining credit for completion) as a study aid prior to exams. We determined that visualization use was fairly high (even when credit for their completion was not offered). Skipping to the end of slideshows was more common when credit for their completion was offered, but also occurred when it was not. We measured the level of use of mobile devices for learning by CS students. Almost all students did not associate their mobile devices with studying. The only time they accessed OpenDSA from a mobile device was for a quick look up, and never for in depth study. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:478 / 485
页数:8
相关论文
共 50 条
  • [31] Enhancing Computer Science Programming Courses to Prepare Students for Software Engineering
    Li, J. Jenny
    Morreale, Patricia
    2014 ASEE ANNUAL CONFERENCE, 2014,
  • [32] Using Gamification Strategies to Motivate and Engage Students in Computer Science Courses
    Dicheva, Darina
    Dichev, Christo
    Jones, Elva J.
    Clarke, Peter J.
    Cassel, Lillian N.
    SIGCSE'18: PROCEEDINGS OF THE 49TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, 2018, : 1071 - 1071
  • [33] Visual Analytic Workflow to Understand Students' Performance in Computer Science Courses
    Gampa, Ravali
    Baynes, Anna
    2018 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE), 2018,
  • [34] Can Computing Be Diversified on "Principles" Alone? Exploring the Role of AP Computer Science Courses in Students' Major and Career Intentions
    Sax, Linda J.
    Newhouse, Kaitlin N. S.
    Goode, Joanna
    Nakajima, Tomoko M.
    Skorodinsky, Max
    Sendowski, Michelle
    ACM TRANSACTIONS ON COMPUTING EDUCATION, 2022, 22 (02)
  • [35] Exploring college students' conceptions of learning computer science: a draw-a-picture technique study
    Xu, Zhen
    Ritzhaupt, Albert D.
    Umapathy, Karthikeyan
    Ning, Yang
    Tsai, Chin-Chung
    COMPUTER SCIENCE EDUCATION, 2021, 31 (01) : 60 - 82
  • [36] Learning Styles of Computer Science I Students
    Kumar, Amruth N.
    2017 IEEE FRONTIERS IN EDUCATION CONFERENCE (FIE), 2017,
  • [37] Team Based Learning in Computer Science Students
    Makalew, Brilly Andro
    Pardamean, Bens
    2017 3RD INTERNATIONAL CONFERENCE ON SCIENCE IN INFORMATION TECHNOLOGY (ICSITECH), 2017, : 296 - 301
  • [38] Supporting students' learning in the domain of computer science
    Gasparinatou, Alexandra
    Grigoriadou, Maria
    COMPUTER SCIENCE EDUCATION, 2011, 21 (01) : 1 - 28
  • [39] INTERACTIVE LEARNING OBJECTS: PARTICIPATION AND PERFORMANCE OF SCIENCE STUDENTS
    Pagnossin, Ivan
    Costa Cavalcanti, Carolina
    Soledade, Roberta
    Marques, Gil
    ETD EDUCACAO TEMATICA DIGITAL, 2014, 16 (02): : 362 - 380
  • [40] Interactive technology enhanced learning for social science students
    Budka, Philipp
    Schallert, Claudia
    Mader, Elke
    2011 14TH INTERNATIONAL CONFERENCE ON INTERACTIVE COLLABORATIVE LEARNING (ICL), 2011, : 274 - 278