An artificial intelligence-based tool for student-generated question

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Abstract

The benefits of student question generation have been extensively established, yet most students do not engage in question-generation activities throughout their formal education and are not used to writing questions. The goal of this project was to create a flexible online learning environment that highlights several types of scaffolding in order to better assist student question production activities in a timely, adaptable, and practically possible manner. The system's underlying architecture and design principles are outlined. The objective of this work is so utilise Chat-GPT that guides student generated questions. The potential of the student-generated question method of instruction is explored, as is an initial examination of students' impressions of the helpfulness of the different built-in support systems. Suggestions on how the study's findings could be used in the classroom and in future research are offered. It has been established that perceived utility plays a significant influence in the dissemination and acceptance of new technology for a wide variety of innovations. Finally, the link between the students' impressions of the utility of the framework in the established system and their cognitive skills regarding the educational potential of student-generated questions was investigated.

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APA

Anistyasari, Y., Ekohariadi, Yani, M. T., Wiriawan, O., & Hidayati, S. C. (2024). An artificial intelligence-based tool for student-generated question. In E3S Web of Conferences (Vol. 513). EDP Sciences. https://doi.org/10.1051/e3sconf/202451302003

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