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Lee, Chia-An; Huang, Nen-Fu; Tzeng, Jian-Wei; Tsai, Pin-Han – IEEE Transactions on Learning Technologies, 2023
Massive open online courses offer a valuable platform for efficient and flexible learning. They can improve teaching and learning effectiveness by enabling the evaluation of learning behaviors and the collection of feedback from students. The knowledge map approach constitutes a suitable tool for evaluating and presenting students' learning…
Descriptors: Artificial Intelligence, MOOCs, Concept Mapping, Student Evaluation
Yu, Jiaqi; Ma, Wenchao; Moon, Jewoong; Denham, Andre R. – Journal of Learning Analytics, 2022
Integrating learning analytics in digital game-based learning has gained popularity in recent decades. The interactive nature of educational games creates an ideal environment for learning analytics data collection. However, past research has limited success in producing accessible and effective assessments using game learning analytics. In this…
Descriptors: Learning Analytics, Student Evaluation, Educational Games, Computer Games
Hiscox, Suzanne B.; Williams, Barbara I. – 1979
Options are suggested for using and expanding upon the RMC models for evaluating the effectiveness of Title I mastery learning programs with planned high turnover of students. Examples are given of uses of the diagnostic and reporting systems for program planning and decision making. It is suggested that consideration be given to: (1) determining…
Descriptors: Achievement Gains, Attrition (Research Studies), Compensatory Education, Data Collection

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