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Xu, Yinuo; Pardos, Zachary A. – International Educational Data Mining Society, 2023
In studies that generate course recommendations based on similarity, the typical enrollment data used for model training consists only of one record per student-course pair. In this study, we explore and quantify the additional signal present in course transaction data, which includes a more granular account of student administrative interactions…
Descriptors: Semantics, Enrollment Trends, Learning Analytics, STEM Education
Ezz, Mohamed; Elshenawy, Ayman – Education and Information Technologies, 2020
Some of the educational organizations have multi-education paths such as engineering and medicine collages. In such colleges, the behavior of the student in the preparatory year determines which education path the student will join in the future. In this paper, an adaptive recommendation system is proposed for predicting a suitable education…
Descriptors: Educational Technology, Artificial Intelligence, Computation, Mathematics
Hsu, Hsiu-Chen – Computer Assisted Language Learning, 2019
Prior research has shown that EFL learners who wrote collaboratively with partners using wikis improved the content quality and language accuracy of their L2 individual writing more than students who wrote individually. Drawing on the dataset from Hsu and Lo's study, the current study explores the nature of the students' collaborative dialogue…
Descriptors: Web Sites, Collaborative Writing, Web 2.0 Technologies, English (Second Language)
Gao, Jianwu; Ma, Shuang – Language Learning & Technology, 2019
This study investigated whether the effect of two forms of computer-automated metalinguistic corrective feedback in drills transferred to subsequent writing tasks. The English simple past tense, a learned structure, was selected as the target structure. Participants included 117 intermediate learners of English as a foreign language assigned to…
Descriptors: Feedback (Response), Metalinguistics, Computer Assisted Instruction, Drills (Practice)