[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1145/3105726.3106189acmconferencesArticle/Chapter ViewAbstractPublication PagesicerConference Proceedingsconference-collections
research-article
Public Access

Students and Teachers Use An Online AP CS Principles EBook Differently: Teacher Behavior Consistent with Expert Learners

Published: 14 August 2017 Publication History

Abstract

Online education is an important tool for supporting the growing number of teachers and students in computer science. We created two eBooks containing interactive content for Advanced Placement Computer Science Principles, one targeted at teachers and one at students. By comparing the eBook usage patterns of these populations, including activity usage counts, transitions between activities, and pathways through the eBook, we develop a characterization of how student use of the eBook differs from teacher use. We offer design recommendations for how eBooks might be developed to target each of our populations. We ground our recommendations in a theory of teachers as expert learners who possess a greater ability to regulate their own learning process.

References

[1]
Klara Benda, Amy Bruckman, and Mark Guzdial. 2012. When Life and Learning Do Not Fit: Challenges of Workload and Communication in Introductory Computer Science Online. Trans. Comput. Educ. 12, 4, Article 15 (Nov. 2012), 38 pages.
[2]
David C Berliner. 1994. Expertise: The wonder of exemplary performances. Creating powerful thinking in teachers and students (1994), 161--186.
[3]
Barry K Beyer. 1987. Practical strategies for the teaching of thinking. ERIC.
[4]
Ann L Brown and Judy S DeLoache. 1978. Skills, plans, and self-regulation. Children's thinking: What develops (1978), 3--35.
[5]
Deborah L Butler and Philip H Winne. 1995. Feedback and self-regulated learning: A theoretical synthesis. Review of educational research 65, 3 (1995), 245--281.
[6]
Michelene TH Chi, Robert Glaser, and Marshall J Farr. 2014. The nature of expertise. Psychology Press.
[7]
Barbara Ericson, Mark Guzdial, Briana Morrison, Miranda Parker, Matthew Moldavan, and Lekha Surasani. 2015. An eBook for teachers learning CS principles. ACM Inroads 6, 4 (2015), 84--86.
[8]
Barbara Ericson, Steven Moore, Briana Morrison, and Mark Guzdial. 2015. Usability and usage of interactive features in an online ebook for CS teachers. In Proceedings of the Workshop in Primary and Secondary Computing Education. ACM, 111--120.
[9]
Barbara J Ericson, Mark J Guzdial, and Briana B Morrison. 2015. Analysis of interactive features designed to enhance learning in an ebook. In Proceedings of the eleventh annual International Conference on International Computing Education Research. ACM, 169--178.
[10]
Barbara J Ericson, Kantwon Rogers, Miranda Parker, Briana Morrison, and Mark Guzdial. 2016. Identifying Design Principles for CS Teacher Ebooks through Design-Based Research. In Proceedings of the 2016 ACM Conference on International Computing Education Research. ACM, 191--200.
[11]
Peggy A Ertmer and Timothy J Newby. 1996. The expert learner: Strategic, self-regulated, and reflective. Instructional science 24, 1 (1996), 1--24.
[12]
Mark Guzdial. 1993. Deriving software usage patterns from log files. Technical Report. Georgia Institute of Technology.
[13]
Juha Helminen, Petri Ihantola, Ville Karavirta, and Lauri Malmi. 2012. How do students solve parsons programming problems?: an analysis of interaction traces. In Proceedings of the ninth annual international conference on International computing education research. ACM, 119--126.
[14]
Slava Kalyuga, Paul Ayres, Paul Chandler, and John Sweller. 2003. The expertise reversal effect. Educational psychologist 38, 1 (2003), 23--31.
[15]
Lauren Elizabeth Margulieux. 2016. Using subgoal learning and self-explanation to improve programming education. Ph.D. Dissertation. Georgia Institute of Technology.
[16]
Gregory Schraw. 1998. Promoting general metacognitive awareness. Instructional science 26, 1 (1998), 113--125.
[17]
H Lee Swanson, James E O'Connor, and John B Cooney. 1990. An information processing analysis of expert and novice teachers' problem solving. American Educational Research Journal 27, 3 (1990), 533--556.
[18]
Claire E Weinstein and Gretchen van Mater Stone. 1993. Broadening our conception of general education: The self-regulated learner. New directions for community colleges 1993, 81 (1993), 31--39.
[19]
Barry J Zimmerman and Manuel Martinez Pons. 1986. Development of a structured interview for assessing student use of self-regulated learning strategies. American educational research journal 23, 4 (1986), 614--628.

Cited By

View all
  • (2022)Parsons Problems and BeyondProceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3571785.3574127(191-234)Online publication date: 27-Dec-2022
  • (2022)Teaching Code Quality in High School Programming Courses - Understanding Teachers’ NeedsProceedings of the 24th Australasian Computing Education Conference10.1145/3511861.3511866(36-45)Online publication date: 14-Feb-2022
  • (2022)Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of UseACM Transactions on Computing Education10.1145/348705022:4(1-31)Online publication date: 15-Sep-2022
  • Show More Cited By

Index Terms

  1. Students and Teachers Use An Online AP CS Principles EBook Differently: Teacher Behavior Consistent with Expert Learners

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      ICER '17: Proceedings of the 2017 ACM Conference on International Computing Education Research
      August 2017
      316 pages
      ISBN:9781450349680
      DOI:10.1145/3105726
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 14 August 2017

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. cs principles
      2. ebook
      3. expert learner
      4. log file analysis

      Qualifiers

      • Research-article

      Funding Sources

      Conference

      ICER '17
      Sponsor:
      ICER '17: International Computing Education Research Conference
      August 18 - 20, 2017
      Washington, Tacoma, USA

      Acceptance Rates

      ICER '17 Paper Acceptance Rate 29 of 180 submissions, 16%;
      Overall Acceptance Rate 189 of 803 submissions, 24%

      Upcoming Conference

      ICER 2025
      ACM Conference on International Computing Education Research
      August 3 - 6, 2025
      Charlottesville , VA , USA

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)73
      • Downloads (Last 6 weeks)10
      Reflects downloads up to 12 Dec 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2022)Parsons Problems and BeyondProceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education10.1145/3571785.3574127(191-234)Online publication date: 27-Dec-2022
      • (2022)Teaching Code Quality in High School Programming Courses - Understanding Teachers’ NeedsProceedings of the 24th Australasian Computing Education Conference10.1145/3511861.3511866(36-45)Online publication date: 14-Feb-2022
      • (2022)Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of UseACM Transactions on Computing Education10.1145/348705022:4(1-31)Online publication date: 15-Sep-2022
      • (2021)Ten Million Users and Ten Years Later: Python Tutor’s Design Guidelines for Building Scalable and Sustainable Research Software in AcademiaThe 34th Annual ACM Symposium on User Interface Software and Technology10.1145/3472749.3474819(1235-1251)Online publication date: 10-Oct-2021
      • (2021)Incentivized Spacing and Gender in Computer Science EducationProceedings of the 17th ACM Conference on International Computing Education Research10.1145/3446871.3469760(18-28)Online publication date: 16-Aug-2021
      • (2020)What Do We Think We Think We Are Doing?Proceedings of the 2020 ACM Conference on International Computing Education Research10.1145/3372782.3406263(2-13)Online publication date: 10-Aug-2020
      • (2020)RunestoneProceedings of the 51st ACM Technical Symposium on Computer Science Education10.1145/3328778.3366950(1012-1018)Online publication date: 26-Feb-2020
      • (2019)Leveraging the Integrated Development Environment for Learning AnalyticsThe Cambridge Handbook of Computing Education Research10.1017/9781108654555.024(679-706)Online publication date: 15-Feb-2019
      • (2019)Tools and EnvironmentsThe Cambridge Handbook of Computing Education Research10.1017/9781108654555.022(639-662)Online publication date: 15-Feb-2019
      • (2019)The Cambridge Handbook of Computing Education Research10.1017/9781108654555Online publication date: 15-Feb-2019

      View Options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Login options

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media