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Replicating and Unraveling Performance and Behavioral Differences between an Online and a Traditional CS Course

Published: 09 May 2019 Publication History

Abstract

In January 2017, a major public research university launched an online version of CS1 targeted at on-campus students to address rising enrollments and provide students with flexibility in their schedules. Prior research on this class has found positive outcomes: students in the course achieve the same learning outcomes as those in a traditional course, while reporting a lower time investment to reach those outcomes and a high level of student satisfaction. This research builds on that prior work in two ways. First, it replicates the findings from that earlier semester with an entirely new semester of students. Second, it delves deeper into the student experience within the online course and its traditional counterpart. This deeper analysis focuses specifically on the differing ways in which students in each section allocated their time, whether or not students in either section accessed the opposite section's material, and their future preferences in online vs. residential CS classes.

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Cited By

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  • (2022)Anonymity: A Double-Edged Sword for Gender Equity in a CS1 Forum?Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499289(766-772)Online publication date: 22-Feb-2022
  • (2022)Taking Stock of MOOCs and Credit Substitutability2022 IEEE Learning with MOOCS (LWMOOCS)10.1109/LWMOOCS53067.2022.9927806(217-222)Online publication date: 29-Sep-2022
  • (2021)Uses, Revisions, and the Future of Validated Assessments in Computing Education: A Case Study of the FCS1 and SCS1Proceedings of the 17th ACM Conference on International Computing Education Research10.1145/3446871.3469744(60-68)Online publication date: 16-Aug-2021
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      cover image ACM Conferences
      CompEd '19: Proceedings of the ACM Conference on Global Computing Education
      May 2019
      260 pages
      ISBN:9781450362597
      DOI:10.1145/3300115
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      Published: 09 May 2019

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      Author Tags

      1. CS1
      2. learning at scale
      3. online learning

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      CompEd '19 Paper Acceptance Rate 33 of 100 submissions, 33%;
      Overall Acceptance Rate 33 of 100 submissions, 33%

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      Cited By

      View all
      • (2022)Anonymity: A Double-Edged Sword for Gender Equity in a CS1 Forum?Proceedings of the 53rd ACM Technical Symposium on Computer Science Education - Volume 110.1145/3478431.3499289(766-772)Online publication date: 22-Feb-2022
      • (2022)Taking Stock of MOOCs and Credit Substitutability2022 IEEE Learning with MOOCS (LWMOOCS)10.1109/LWMOOCS53067.2022.9927806(217-222)Online publication date: 29-Sep-2022
      • (2021)Uses, Revisions, and the Future of Validated Assessments in Computing Education: A Case Study of the FCS1 and SCS1Proceedings of the 17th ACM Conference on International Computing Education Research10.1145/3446871.3469744(60-68)Online publication date: 16-Aug-2021
      • (2021)Online Vs Face-to-face Web-development Course: Course Strategies, Learning, and EngagementProceedings of the 52nd ACM Technical Symposium on Computer Science Education10.1145/3408877.3432438(1191-1197)Online publication date: 3-Mar-2021
      • (2020)Evaluation of Course StrategiesProceedings of the 2020 ACM Conference on International Computing Education Research10.1145/3372782.3408121(313-313)Online publication date: 10-Aug-2020
      • (2020)Attitudinal Trajectories in an Online CS1 Class: Demographic and Performance TrendsProceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education10.1145/3341525.3387429(335-341)Online publication date: 15-Jun-2020

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