Performance Analysis and Interviews of Non-CS-Major Students Sanctioned for Cheating in CS1

被引:0
|
作者
Pang, Ashley [1 ]
Vahid, Frank [1 ]
机构
[1] Univ Calif Riverside, Comp Sci & Engn, Riverside, CA 92521 USA
基金
美国国家科学基金会;
关键词
CS1; programming; cheating; plagiarism; intervention;
D O I
10.1145/3649217.3653626
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
College cheating is common, including in computer science (CS) classes like introductory programming (CS1). Much research surveys college students about cheating, but few survey students actually caught cheating, or analyze their performance. We analyzed performance of 24 students sanctioned for cheating on programs in our CS1 over three terms, out of 300+ students, mostly non-CS science and engineering majors. Sanctioned students participated less in lectures (scoring 77% vs. 91%, p = 0.00002), and were less earnest in their completion of the online book's readings (51% vs. 80%, p = 0.0000001) during weeks 1-5. Those findings suggest early disengagement which would correlate with a tendency to cheat, and might also suggest a lack of learning which might help cause cheating. Sanctioned students scored dramatically lower on the earlier midterm exam (61% vs. 83%, p = 0.0001). After being sanctioned with Fs in the course (typically post-midterm), most agreed to an optional later interview to help the professor learn how to prevent cheating, at which point most were quite forthright. Key themes included an inability or unwillingness to devote the time needed to learn programming, a belief that the required CS1 course was not important for non-CS majors, and a disbelief that cheating students would be caught or punished despite warnings. More studies of such experiences may help instructors reduce cheating; in our case, the findings suggest instructors should emphasize relevance, make detection/punishment efforts clear, and detect early disengagement and potentially intervene.
引用
收藏
页码:374 / 380
页数:7
相关论文
共 50 条
  • [41] Fears and Confidence amongst Incarcerated Adult CS1 Students
    Hogan, Emma
    Saravia-Montalvo, Audria
    Smith, Ginger
    Nguyen, Emily
    Rios, Zyanya
    Raj, Adalbert Gerald Soosai
    Griswold, William
    Porter, Leo
    PROCEEDINGS OF THE 56TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE TS 2025, VOL 2, 2025, : 513 - 519
  • [42] Fears and Confidence amongst Incarcerated Adult CS1 Students
    Hogan, Emma
    Saravia-Montalvo, Audria
    Smith, Ginger
    Nguyen, Emily
    Rios, Zyanya
    Raj, Adalbert Gerald Soosai
    Griswold, William
    Porter, Leo
    PROCEEDINGS OF THE 56TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE TS 2025, VOL 1, 2025, : 513 - 519
  • [43] Using a Groupware System in CS1 to Engage Introverted Students
    Townsend, Gloria Childress
    ITICSE 2009: PROCEEDING OF THE 2009 ACM SIGSE ANNUAL CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, 2009, : 16 - 20
  • [44] Read the Debug Manual: A Debugging Manual for CS1 Students
    Garcia, Rita
    Liao, Chieh-Ju
    Pearce, Ariane
    2022 IEEE FRONTIERS IN EDUCATION CONFERENCE, FIE, 2022,
  • [45] A Conceptual Metaphor Analysis of Recursion in a CS1 Course
    Harper, Colton
    Mohammed, Karima
    Cooper, Stephen
    PROCEEDINGS OF THE 56TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE TS 2025, VOL 1, 2025, : 457 - 463
  • [46] An Analysis of Using Many Small Programs in CS1
    Allen, Joe Michael
    Vahid, Frank
    Edgcomb, Alex
    Downey, Kelly
    Miller, Kris
    SIGCSE '19: PROCEEDINGS OF THE 50TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, 2019, : 585 - 591
  • [47] Lifecycle in CS1: Requirements, Domain Analysis, and Implementation
    Sane, Aamod
    Mody, Rustom
    Laxminarayan, Anuradha
    Jayaraman, V. K.
    PROCEEDINGS OF THE 27TH ACM CONFERENCE ON INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, ITICSE 2022, VOL 1, 2022, : 269 - 275
  • [48] A Conceptual Metaphor Analysis of Recursion in a CS1 Course
    Harper, Colton
    Mohammed, Karima
    Cooper, Stephen
    PROCEEDINGS OF THE 56TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, SIGCSE TS 2025, VOL 2, 2025, : 457 - 463
  • [49] Impact of Several Low-Effort Cheating-Reduction Methods in a CS1 Class
    Vahid, Frank
    Downey, Kelly
    Pang, Ashley
    Gordon, Chelsea
    PROCEEDINGS OF THE 54TH ACM TECHNICAL SYMPOSIUM ON COMPUTER SCIENCE EDUCATION, VOL 1, SIGCSE 2023, 2023, : 486 - 492
  • [50] Early prediction of student performance in CS1 programming courses
    Llanos J.
    Bucheli V.A.
    Restrepo-Calle F.
    PeerJ Computer Science, 2023, 9