Zobrazeno 1 - 10
of 129
pro vyhledávání: '"academic performance prediction"'
Autor:
Qionghao Huang, Jili Chen
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-26 (2024)
Abstract Educational big data significantly impacts education, and Massive Open Online Courses (MOOCs), a crucial learning approach, have evolved to be more intelligent with these technologies. Deep neural networks have significantly advanced the cru
Externí odkaz:
https://doaj.org/article/fb289fffb2a34d9d8c1c80c1f9506b18
Publikováno v:
Computers and Education: Artificial Intelligence, Vol 7, Iss , Pp 100261- (2024)
Academic failure is a persistent challenge in education. Despite the limited available data, in this study, we focus on identifying at-risk students in a blended learning (BL) course. Several motivational variables are analyzed to determine their eff
Externí odkaz:
https://doaj.org/article/91e583527bb642a581104c62a1e9426a
Autor:
Qionghao Huang, Yan Zeng
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3557-3575 (2024)
Abstract Academic performance is a crucial issue in the field of Online learning analytics. While deep learning-based models have made significant progress in the era of big data, many of these methods need help to capture the complex relationships p
Externí odkaz:
https://doaj.org/article/7c9217e3605e43fe805a0d71be9d984a
Publikováno v:
IEEE Access, Vol 12, Pp 23451-23465 (2024)
Predicting university student graduation is a beneficial tool for both students and institutions. With the help of this predictive capacity, students may make well-informed decisions about their academic and career paths, and institutions can proacti
Externí odkaz:
https://doaj.org/article/359e873119a941ceb9b8b09a9919bfdf
Publikováno v:
Mathematics, Vol 12, Iss 20, p 3272 (2024)
Early prediction of student performance in online programming courses is essential for implementing timely interventions to enhance academic outcomes. This study aimed to predict academic success by comparing four machine learning models: Logistic Re
Externí odkaz:
https://doaj.org/article/2acea8320b4c4aabbc90c842f0bae348
Publikováno v:
Journal of Social Computing, Vol 4, Iss 1, Pp 12-29 (2023)
Prior studies have shown the importance of classroom dialogue in academic performance, through which knowledge construction and social interaction among students take place. However, most of them were based on small scale or qualitative data, and few
Externí odkaz:
https://doaj.org/article/8ce232b9579b401e91a6d40575d33e9d
Publikováno v:
International Journal of Educational Technology in Higher Education, Vol 20, Iss 1, Pp 1-23 (2023)
Abstract As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered
Externí odkaz:
https://doaj.org/article/6df773295f424dca95ceda220a18fc94
Akademický článek
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Akademický článek
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Akademický článek
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