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Jionghao Lin; Wei Tan; Lan Du; Wray Buntine; David Lang; Dragan Gasevic; Guanliang Chen – IEEE Transactions on Learning Technologies, 2024
Automating the classification of instructional strategies from a large-scale online tutorial dialogue corpus is indispensable to the design of dialogue-based intelligent tutoring systems. Despite many existing studies employing supervised machine learning (ML) models to automate the classification process, they concluded that building a…
Descriptors: Classification, Dialogs (Language), Teaching Methods, Computer Assisted Instruction
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Kroeze, Karel A.; van den Berg, Stephanie M.; Veldkamp, Bernard P.; de Jong, Ton – IEEE Transactions on Learning Technologies, 2021
A tool is presented that can automatically assess the quality of students' concept maps and provide feedback based on a reference concept map. It is shown that this tool can effectively assess the quality of concept maps, and that it can provide accurate and helpful feedback on a number of specific shortcomings often evident in students' concept…
Descriptors: Feedback (Response), Concept Mapping, Student Evaluation, Teaching Methods
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Wagner, Meghan; Bothner, Cameron L.; Rau, Emily; Zeng, Pearl Zhu; Waisanen, Edward H.; Czerwinski, Megan A.; Fickes, Bret; Eastin, Ivan; Hardin, Rebecca D. – IEEE Transactions on Learning Technologies, 2021
Sustainability science has been gaining traction within academic research and teaching over the past few decades, and it is now entering a phase of greater maturity as a discipline, with links to sectors beyond the academy including energy, finance, advocacy, development, design, construction, agriculture, and healthcare. Concurrently, the growth…
Descriptors: Sustainability, Sciences, Technology Uses in Education, Active Learning
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Castellanos, Jorge; Haya, Pablo A.; Urquiza-Fuentes, Jaime – IEEE Transactions on Learning Technologies, 2017
STEM (Science, Technology, Engineering, and Math) education is currently receiving much attention from governments and educational institutions. Our work is based on active learning and video-based learning approaches to support STEM education. Here, we aimed to increase students' engagement through reflective processes that embrace video…
Descriptors: STEM Education, Educational Technology, Technology Uses in Education, Video Technology
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Gomez, Jorge E.; Huete, Juan F.; Hernandez, Velssy L. – IEEE Transactions on Learning Technologies, 2016
The dynamics of the world today demands a change in traditional education paradigms to enable the creation of more efficient learning environments, where students will learn more effectively and will play a more active role in their education. They should interact with the knowledge at anytime-anywhere. In order to tackle this problem we should…
Descriptors: Active Learning, Telecommunications, Handheld Devices, Intelligent Tutoring Systems