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Marcel R. Haas; Colin Caprani; Benji T. van Beurden – Journal of Learning Analytics, 2023
We present an innovative modelling technique that simultaneously constrains student performance, course difficulty, and the sensitivity with which a course can differentiate between students by means of grades. Grade lists are the only necessary ingredient. Networks of courses will be constructed where the edges are populations of students that…
Descriptors: Bayesian Statistics, Computer Software, Learning Analytics, Grades (Scholastic)
Hua Ma; Wen Zhao; Yuqi Tang; Peiji Huang; Haibin Zhu; Wensheng Tang; Keqin Li – IEEE Transactions on Learning Technologies, 2024
To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…
Descriptors: College Students, Learning Analytics, Learning Management Systems, Academic Achievement
Kristen Kirkpatrick; Carlos Morales – Online Journal of Distance Learning Administration, 2024
The increased demand for online courses correlates to increased workloads for faculty, staff, and leadership. Hiring, staffing, and other logistical matters often trump the emphasis on course quality. This paper introduces a strategic framework for creating and sustaining a successful distance education model. Tarrant County College Connect Campus…
Descriptors: Educational Quality, Quality Assurance, Higher Education, Online Courses