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Early Prediction of Student Academic Performance Based on Machine Learning Algorithms: A Case Study of Bachelor's Degree Students in KSA
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Mouna Ben Said; Yessine Hadj Kacem; Abdulmohsen Algarni; Atef Masmoudi – Education and Information Technologies, 2024
In the current educational landscape, where large amounts of data are being produced by institutions, Educational Data Mining (EDM) emerges as a critical discipline that plays a crucial role in extracting knowledge from this data to help academic policymakers make decisions. EDM has a primary focus on predicting students' academic performance.…
Descriptors: Prediction, Academic Achievement, Artificial Intelligence, Algorithms
An Approach to Semantic Educational Content Mining Using NLP
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Aisha Abdulmohsin Al Abdulqader; Amenah Ahmed Al Mulla; Gaida Abdalaziz Al Moheish; Michael Jovellanos Pinero; Conrado Vizcarra; Abdulelah Al Gosaibi; Abdulaziz Saad Albarrak – International Association for Development of the Information Society, 2022
The COVID-19 epidemic had caused one of the most significant disruptions to the global education system. Many educational institutions faced sudden pressure to switch from face-to-face to online delivery of courses. The conventional classes are no longer the primary means of delivery; instead, online education and resources have become the…
Descriptors: COVID-19, Pandemics, Teaching Methods, Online Courses
Comparing Words, Stems, and Roots as Index Terms in an Arabic Information Retrieval System.
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Al-Kharashi, Ibrahim A.; Evens, Martha W. – Journal of the American Society for Information Science, 1994
Describes experiments in Arabic information retrieval using 29 queries against a base of 355 bibliographic records. Using roots and stems as index terms worked better than words, and the root performed as well as or better than the stem at low recall levels and definitely better at high recall levels. (Contains 30 references.) (KRN)
Descriptors: Algorithms, Arabic, Bibliographic Databases, Comparative Analysis