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Gao, Zhikai; Erickson, Bradley; Xu, Yiqiao; Lynch, Collin; Heckman, Sarah; Barnes, Tiffany – International Educational Data Mining Society, 2022
In computer science education timely help seeking during large programming projects is essential for student success. Help-seeking in typical courses happens in office hours and through online forums. In this research, we analyze students coding activities and help requests to understand the interaction between these activities. We collected…
Descriptors: Computer Science Education, College Students, Programming, Coding
Karnalim, Oscar; Simon; Chivers, William; Panca, Billy Susanto – ACM Transactions on Computing Education, 2022
To help address programming plagiarism and collusion, students should be informed about acceptable practices and about program similarity, both coincidental and non-coincidental. However, current approaches are usually manual, brief, and delivered well before students are in a situation where they might commit academic misconduct. This article…
Descriptors: Computer Science Education, Programming, Plagiarism, Formative Evaluation
Tay, Hui Yong; Lam, Karen W. L. – Educational Research for Policy and Practice, 2022
The provision of feedback is widely practised as part of formative assessment. However, studies that examine the impact of feedback are usually from the teachers' perspective, focusing on why and how they provide feedback. Fewer studies examine feedback from the students' perspective, especially in the way they experience, make sense of and take…
Descriptors: Learner Engagement, Feedback (Response), Student Attitudes, Essays
Parks-Leduc, Laura; Guay, Russell P.; Mulligan, Leigh M. – Journal of Academic Ethics, 2022
In this study we examine college cheating behaviors of business students compared to non-business students, and investigate possible antecedents to cheating in an effort to better understand why and when students cheat. We specifically examine power values; we found that they were positively related to academic cheating in our sample, and that…
Descriptors: Values, Cheating, Business Administration Education, Majors (Students)
Krienert, Jessie L.; Walsh, Jeffrey A.; Cannon, Kevin D. – College Teaching, 2022
Academic dishonesty is pervasive among college students throughout the country. Current research suggests that more than half of students report engaging in cheating behavior while in college. While traditional forms of cheating behavior remain, technology has ushered in new opportunities making cheating more accessible by more students and harder…
Descriptors: Cheating, Student Behavior, Ethics, Achievement Need
Coppess, Brian – Educational Research: Theory and Practice, 2022
Largely because of its behaviorist roots and despite several progressive education movements, external control has been the primary motivation technique used by educators since the dawn of formal schooling in the United States. Decades of recent research, however, has led to a paradigm shift of sorts, suggesting that by challenging their mental…
Descriptors: Cognitive Processes, Student Motivation, Motivation Techniques, Principals
Khajonmote, Withamon; Chinsook, Kittipong; Klintawon, Sununta; Sakulthai, Chaiyan; Leamsakul, Wicha; Jansawang, Natchanok; Jantakoon, Thada – Journal of Education and Learning, 2022
The system architecture of big data in massive open online courses (BD-MOOCs System Architecture) is composed of six components. The first component was comprised of big data tools and technologies such as Hadoop, YARN, HDFS, Spark, Hive, Sqoop, and Flume. The second component was educational data science, which is composed of the following four…
Descriptors: MOOCs, Data Collection, Student Behavior, Computer Software
Abercrombie, Sara; Bang, Hyeyoung; Vaughan, Ashley – Educational Psychology, 2022
Academic risk taking is a strategy where students engage in more difficult, challenging work in order to reap greater personal or community benefits, despite uncertainty, such as potential failure. A sample (N = 355) of college students from a Midwest university were measured on three dimensions of academic risk-taking as well as two motivational…
Descriptors: Risk, Student Behavior, College Students, Academic Achievement
Christine E. Simone – ProQuest LLC, 2022
This study examined the perceptions and lived experiences of student conduct hearing officers relative to the frequency and challenge of student concerns they observe in their roles on small, private college campuses. Using a framework of systems theory and perception theories to inform the work, as well as decades of existing literature, the…
Descriptors: Private Colleges, College Students, Hearings, Attitudes
Cook, Matthew D. – ProQuest LLC, 2022
The purpose of this study was to gain an understanding of how novice, nontraditionally certified teachers learn classroom management skills and address challenging student behaviors. Alternative teacher preparation programs aim to prepare entry year teachers for the classroom as quickly as possible. While alternative certification programs aim to…
Descriptors: Alternative Teacher Certification, Beginning Teachers, Student Behavior, Classroom Techniques
Hallett, Fiona; Hallett, Graham – Journal of Research in Special Educational Needs, 2021
This paper uses Rittel and Webber's categorisation of "wicked problems" in order to interrupt discourses around school behaviour. Each of the 10 characteristics suggested by Rittel and Webber are examined using the English education system as a vehicle by which to consider and interrogate their complexity. This endeavour is crucial as…
Descriptors: Expulsion, Student Behavior, Discipline, Foreign Countries
Nye, Benjamin D.; Core, Mark G.; Jaiswa, Shikhar; Ghosal, Aviroop; Auerbach, Daniel – International Educational Data Mining Society, 2021
Engaged and disengaged behaviors have been studied across a variety of educational contexts. However, tools to analyze engagement typically require custom-coding and calibration for a system. This limits engagement detection to systems where experts are available to study patterns and build detectors. This work studies a new approach to classify…
Descriptors: Learner Engagement, Profiles, Artificial Intelligence, Student Behavior
Robert Thornberg; Björn Sjögren; Gianluca Gini; Tiziana Pozzoli – Social Psychology of Education: An International Journal, 2024
The overall objective of this study was to investigate the longitudinal association between diffusion of responsibility and pro-aggressive bystander behavior across three time points in upper elementary education. This three-wave longitudinal study included 1905 Swedish students who completed a questionnaire in at least one of the three waves: the…
Descriptors: Aggression, Responsibility, Audiences, Elementary School Students
Ruchika Vatsa; Purnima Bhatnagar – International Journal of Information and Learning Technology, 2024
Purpose: The purpose of this paper is to apply systems modeling to explore the usability of the online learning platform in the future compared to its usefulness during the pandemic era. Design/methodology/approach: The applied systems research methodology has been used to develop a stock-flow model encompassing enablers and constraints for…
Descriptors: Electronic Learning, Student Behavior, Student Motivation, COVID-19
Tim Baalmann – Research in Higher Education, 2024
One in three students suffers from at least one common mental disorder highlighting the high prevalence of health issues in higher education. At the same time, every third student drops out of university without achieving their degrees. Nevertheless, connections between health and students' dropout behavior have hardly been investigated. Grounding…
Descriptors: Foreign Countries, Mental Disorders, Dropouts, Student Behavior

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