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Elizabeth Koh; Lishan Zhang; Alwyn Vwen Yen Lee; Hongye Wang – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) has the potential to revolutionize teaching and learning applications. This article examines the word cloud, a toolkit often used to scaffold teaching and learning for reflection, critical thinking, and content learning. Addressing the issues in traditional word clouds, semantic word clouds have been…
Descriptors: Vocabulary, Visual Aids, Electronic Publishing, Word Frequency
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Liu, Ming; Calvo, Rafael A.; Pardo, Abelardo; Martin, Andrew – IEEE Transactions on Learning Technologies, 2015
Engagement is critical to the success of learning activities such as writing, and can be promoted with appropriate feedback. Current engagement measures rely mostly on data collected by observers or self-reported by the participants. In this paper, we describe a learning analytic system called Tracer, which derives behavioral engagement measures…
Descriptors: Student Behavior, Learner Engagement, Writing Assignments, Visualization
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Tabuenca, Bernardo; Kalz, Marco; Ternier, Stefaan; Specht, Marcus – IEEE Transactions on Learning Technologies, 2015
Nowadays, smartphone users are constantly receiving notifications from applications that provide feedback, as reminders, recommendations or announcements. Nevertheless, there is little research on the effects of mobile notifications to foster meta-learning. This paper explores the effectiveness of mobile notifications to foster reflection on…
Descriptors: Telecommunications, Handheld Devices, Technology Uses in Education, Educational Technology