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Ndakaitei Manase; Sindile Ngubane – Research in Social Sciences and Technology, 2024
This qualitative study involves six lecturers who have supervised students with disabilities. Participants were purposively selected and interviewed telephonically using semi-structured interviews. The study adopted a thematic data analysis approach to identify patterns in supervision experiences. The paper problematises a deficit approach that is…
Descriptors: College Faculty, Students with Disabilities, Supervisor Supervisee Relationship, At Risk Students
Kokoç, Mehmet; Akçapinar, Gökhan; Hasnine, Mohammad Nehal – Educational Technology & Society, 2021
This study analyzed students' online assignment submission behaviors from the perspectives of temporal learning analytics. This study aimed to model the time-dependent changes in the assignment submission behavior of university students by employing various machine learning methods. Precisely, clustering, Markov Chains, and association rule mining…
Descriptors: Electronic Learning, Assignments, Behavior Patterns, Learning Analytics
Thind, Herpreet; Rosen, Rochelle K.; Barnett, Nancy P.; Walaska, Kristen; Traficante, Regina; Bock, Beth C. – Journal of American College Health, 2021
Objective: The purpose of this study was to gain insight about patterns of alcohol use and related consequences among heavy drinking community college students. Participants: About 26 community college students (Mean age 22.3 years, 46% men, 69% White) participated in this study between January and April 2013. Methods: Five qualitative focus group…
Descriptors: Drinking, Alcohol Abuse, Behavior Patterns, Student Attitudes
Jeon, Byungsoo; Shafran, Eyal; Breitfeller, Luke; Levin, Jason; Rosé, Carolyn P. – International Educational Data Mining Society, 2019
This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…
Descriptors: Online Courses, At Risk Students, Academic Achievement, Academic Failure