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Unggi Lee; Haewon Jung; Younghoon Jeon; Younghoon Sohn; Wonhee Hwang; Jewoong Moon; Hyeoncheol Kim – Education and Information Technologies, 2024
Through design and development research (DDR), we aimed to create a validated automatic question generation (AQG) system using large language models (LLMs) like ChatGPT, enhanced by prompting engineering techniques. While AQG has become increasingly integral to online learning for its efficiency in generating questions, issues such as inconsistent…
Descriptors: Artificial Intelligence, Computer Software, Learning Management Systems, Teaching Methods
Owen Henkel; Hannah Horne-Robinson; Maria Dyshel; Greg Thompson; Ralph Abboud; Nabil Al Nahin Ch; Baptiste Moreau-Pernet; Kirk Vanacore – Journal of Learning Analytics, 2025
This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…
Descriptors: Learning Analytics, Learning Management Systems, Mathematics Instruction, Middle School Students
Limei Shan – International Journal of Technology in Teaching and Learning, 2023
This paper explores the impact of AI applications in adaptive learning on learners with varying levels of Chinese proficiency and diverse learning needs. The study investigates the robustness of VR technology in enhancing Chinese oral proficiency and pragmatic skills among 1st year and 2nd year learners. It compares the established VR app Mondly…
Descriptors: Artificial Intelligence, Chinese, Second Language Learning, Second Language Instruction