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Lin Li; Namrata Srivastava; Jia Rong; Quanlong Guan; Dragan Gaševic; Guanliang Chen – British Journal of Educational Technology, 2025
The use of predictive analytics powered by machine learning (ML) to model educational data has increasingly been identified to exhibit bias towards marginalized populations, prompting the need for more equitable applications of these techniques. To tackle bias that emerges in training data or models at different stages of the ML modelling…
Descriptors: Bias, Attitude Change, Prediction, Learning Analytics
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Austin C. Megli; Dayra Fallad-Mendoza; Monica Etsitty-Dorame; Jasmine Desiderio; Yan Chen; Damian Sanchez; Nick Flor; Charlotte N. Gunawardena – American Journal of Distance Education, 2024
Analyzing how participants learn from each other during online forums on discussion boards or social media platforms is often challenging. One of the predominant methods of analyzing such learning is through qualitative content analysis or interaction analysis. The Interaction Analysis Model (IAM), developed by Gunawardena, Lowe and Anderson which…
Descriptors: Learning Processes, Distance Education, Computer Mediated Communication, Social Media
Kyuhan Lee – ProQuest LLC, 2021
Design science research (DSR) is one of important research paradigms in information systems (IS) that focus on addressing business problems by building and implementing design artifacts. Recently, predictive analytics has become one major stream of DSR thanks to the improvement of computational power and methods and the increase in available…
Descriptors: Social Media, Learning Analytics, Prediction, Engineering