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Chia-Ju Lin; Wei-Sheng Wang; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Education and Information Technologies, 2024
The rise of precision education has encouraged teachers to use intelligent diagnostic systems to understand students' learning processes and provide immediate guidance to prevent students from giving up when facing learning difficulties. However, current research on precision education rarely employs multimodal learning analytics approaches to…
Descriptors: STEM Education, Learning Analytics, Speech Communication, Auditory Perception
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Wiedbusch, Megan; Lester, James; Azevedo, Roger – Metacognition and Learning, 2023
Pedagogical agents have been designed to support the significant challenges that learners face when self-regulating in advanced learning environments. Evidence suggests differences in learners' prior skills and abilities, in conjunction with excessive didactic support, can cause overreliance on these external aids, which in turn prevents deeper…
Descriptors: Measurement Techniques, Metacognition, Learning Processes, Nonverbal Communication
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Huang, Karina; Bryant, Tonya; Schneider, Bertrand – International Educational Data Mining Society, 2019
With the advent of new data collection techniques, there has been a growing interest in studying co-located groups of students using Multimodal Learning Analytics to automatically identify collaborative learning states. In this paper, we analyze a multimodal dataset (N=84) made of eye-tracking, physiological and motion sensing data. We leverage…
Descriptors: Cooperative Learning, Artificial Intelligence, Eye Movements, Learning Analytics
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Chiu, Wang-Kin – Education Sciences, 2021
The technological advancement and rapid development of artificial intelligence have led to a growing number of studies investigating pedagogical innovations incorporated with emerging technologies in this digital era. An increasing amount of empirical evidence has suggested the potential benefits of incorporating digital technologies and…
Descriptors: Technological Advancement, Artificial Intelligence, Educational Innovation, Educational Technology
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Sharma, Kshitij; Papamitsiou, Zacharoula; Giannakos, Michail – British Journal of Educational Technology, 2019
Students' on-task engagement during adaptive learning activities has a significant effect on their performance, and at the same time, how these activities influence students' behavior is reflected in their effort exertion. Capturing and explaining effortful (or effortless) behavior and aligning it with learning performance within contemporary…
Descriptors: Learning Activities, Learning Analytics, Man Machine Systems, Artificial Intelligence
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Feng, Shihui; Law, Nancy – International Journal of Artificial Intelligence in Education, 2021
In this study, we review 1830 research articles on artificial intelligence in education (AIED), with the aim of providing a holistic picture of the knowledge evolution in this interdisciplinary research field from 2010 to 2019. A novel three-step approach in the analysis of the keyword co-occurrence networks (KCN) is proposed to identify the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Research, Intelligent Tutoring Systems