2024
DOI: 10.1109/tlt.2024.3364015
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Using a Chatbot to Provide Formative Feedback: A Longitudinal Study of Intrinsic Motivation, Cognitive Load, and Learning Performance

Jiaqi Yin,
Tiong-Thye Goh,
Yi Hu
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Cited by 7 publications
(1 citation statement)
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“…On the other hand, the emergence of generative AI and the rapid expansion of its use through chatbots trained by large language models (LLMs) has offered an emerging opportunity for learning performance reinforcement and improvement, with ChatGPT currently leading this trend due to its effectiveness and availability. In this context, recent case studies have examined the use of chatbots pre-trained by these models with respect to the acquisition of pedagogical skills for trainee teachers [5], the effects on students' intrinsic motivation, cognitive load and learning performance [6] and the use of prompting techniques to obtain quality information and improve learning in flipped classrooms [7], for example. To the best of our knowledge, however, the potential of these tools for human-centered design learning has not yet been explored.…”
mentioning
confidence: 99%
“…On the other hand, the emergence of generative AI and the rapid expansion of its use through chatbots trained by large language models (LLMs) has offered an emerging opportunity for learning performance reinforcement and improvement, with ChatGPT currently leading this trend due to its effectiveness and availability. In this context, recent case studies have examined the use of chatbots pre-trained by these models with respect to the acquisition of pedagogical skills for trainee teachers [5], the effects on students' intrinsic motivation, cognitive load and learning performance [6] and the use of prompting techniques to obtain quality information and improve learning in flipped classrooms [7], for example. To the best of our knowledge, however, the potential of these tools for human-centered design learning has not yet been explored.…”
mentioning
confidence: 99%