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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
Hailuo Yu; Bo Wang; Zhifeng Zhang – International Journal of Information and Communication Technology Education, 2023
The quality education goal is a Sustainable Development Goal (SDG) that the United Nations aim to achieve by 2023. While there is still a long way to go to achieve the goal, information and communications technologies (ICT) provide efficient tools to substantially strengthen and accelerate the process. Thus, in this chapter, the authors design an…
Descriptors: Sustainable Development, Information Technology, Internet, Educational Quality
Kil, David; Baldasare, Angela; Milliron, Mark – Current Issues in Education, 2021
Student success, both during and after college, is central to the mission of higher education. Within the higher-education and, more specifically, the student-success context, the core raison d'ĂȘtre of machine learning (ML) is to help institutions achieve their social mission in an efficient and effective manner. While there should be synergy…
Descriptors: Learning Analytics, Academic Achievement, College Students, Electronic Learning
Jamal Eddine Rafiq; Abdelali Zakrani; Mohammed Amraouy; Said Nouh; Abdellah Bennane – Turkish Online Journal of Distance Education, 2025
The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…
Descriptors: Models, Online Courses, Educational Improvement, Learning Processes

Mandeville, Garrett K. – Journal of Educational Technology Systems, 1991
Describes a computer algorithm used in South Carolina public schools that links year-to-year student test records. The process of matching data files is explained, computer matches are compared with matches based on numeric student identification numbers to determine accuracy, and other applications in support of educational research are…
Descriptors: Academic Achievement, Algorithms, Computer System Design, Educational Research
Allan, V. H.; Kolesar, M. V. – 1996
The typical introductory programming course is not an appropriate first computer science course for many students. Initial experiences with programming are often frustrating, resulting in a low rate of successful completion, and focus on syntax rather than providing a representative picture of computer science as a discipline. The paper discusses…
Descriptors: Academic Achievement, Algorithms, Computer Science Education, Course Content
Gordonov, Anatoliy; Kress, Michael; Klibaner, Roberta – 1998
This paper presents a model of an intelligent computer network that provides real-time evaluation of students' performance by incorporating intelligence into the application layer protocol. Specially designed drills allow students to independently solve a number of problems based on current lecture material; students are switched to the most…
Descriptors: Academic Achievement, Algorithms, Computer Assisted Instruction, Computer Managed Instruction