Educational Data Mining and Analyzing of Student Learning Outcomes from the Perspective of Learning Experience
نویسندگان
چکیده
Student Learning Outcome (SLO) has been a hot issue in the research fields of higher education quality assurance and institutional research. Based on the classic college student development theories and students' learning experiences, this paper combines two educational data mining techniques, regression analysis and neural network modeling to explore the influential mechanism of SLO by the means of empirical analysis. Finally, from the perspective of learning analytics and considering students’ individual factors and university factors, a predication model of SLO is constructed to provide universities with essential reference to enhance SLO and teaching quality.
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