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Hu, Yung-Hsiang – International Review of Research in Open and Distributed Learning, 2022
Early warning systems (EWSs) have been successfully used in online classes, especially in massive open online courses, where it is nearly impossible for students to interact face-to-face with their teachers. Although teachers in higher education institutions typically have smaller class sizes, they also face the challenge of being unable to have…
Descriptors: Dropout Prevention, At Risk Students, Online Courses, Private Colleges
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Rodríguez, M. Elena; Guerrero-Roldán, Ana Elena; Baneres, David; Karadeniz, Abdulkadir – International Review of Research in Open and Distributed Learning, 2022
This work discusses a nudging intervention mechanism combined with an artificial intelligence (AI) system for early detection of learners' risk of failing or dropping out. Different types of personalized nudges were designed according to educational principles and the learners' risk classification. The impact on learners' performance, dropout…
Descriptors: Artificial Intelligence, Electronic Learning, College Students, Intervention