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Xiangping Cui; Chen Du; Jun Shen; Susan Zhang; Juan Xu – IEEE Transactions on Learning Technologies, 2024
Research shows that gamified learning experiences can effectively improve the outstanding issues of students in online learning, such as lack of continuous motivation and easy burnout, thereby improving the effectiveness of online learning. However, how to enhance the gamified learning experience in online learning, and what impact there is…
Descriptors: Gamification, Learning Experience, Electronic Learning, Instructional Effectiveness
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Yuang Wei; Bo Jiang – IEEE Transactions on Learning Technologies, 2024
Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…
Descriptors: Cognitive Mapping, Models, Prediction, Short Term Memory
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Kiili, Kristian; Ketamo, Harri – IEEE Transactions on Learning Technologies, 2018
Even though digital learning games have become common in education, relatively little is known about the usefulness of game-based assessment. This paper aims to explore if a game-based math test can provide added value to math education with respect to cognitive and affective outcomes. We used in-game measures, embedded in the game called Semideus…
Descriptors: Mathematics Tests, Outcomes of Education, Fractions, Grade 6