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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
Lahiru Ariyananda – ProQuest LLC, 2022
DEVS (Discrete Event System Specification) is a formalism that was introduced in the mid-1970s by Bernard Zeigler, for modeling and analysis of discrete event systems. DEVS is essentially a formal mathematical language for specifying complex systems through models that can be simulated and has been executed in object-oriented software, DEVSJava…
Descriptors: Active Learning, Programming, Computer Software, Computer Science Education
Victoria Olubola Adeyele; Umesh Ramnarain – International Journal of Technology in Education, 2024
ChatGPT, an AI-powered service known for its effective delivery of information and solutions, has the potential to transform education, scientific problem-solving, and student learning. However, to fully harness its advantages, understanding the pedagogical approach needed is essential. This study explores teachers' awareness of ChatGPT and the…
Descriptors: Technology Integration, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
Heather Catherine Thompson – ProQuest LLC, 2024
This study investigates the instructional practices of a chemistry professor during an immersion summer program, with a focus on employing multimodal discourse within a studio-based learning environment. For this study, multimodal discourse includes natural language, gestures, mathematical expressions, symbolic visual representations, and manual…
Descriptors: Teaching Methods, Design, Chemistry, Summer Programs
McHugh, David; Shaw, Sarah; Moore, Travis R.; Ye, Leafia Zi; Romero-Masters, Philip; Halverson, Richard – Journal of Research on Technology in Education, 2020
Using a natural language processing tool, this study examined participant discourse in personalized learning schools to better understand what personalized learning looks like in practice. Term frequency-inverse document frequency (tf-idf) was used to identify the significant words and potential emergent themes for 134 interview transcripts. This…
Descriptors: Natural Language Processing, Discourse Analysis, Word Frequency, Identification
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis