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Download full textXiner Liu; Andres Felipe Zambrano; Ryan S. Baker; Amanda Barany; Jaclyn Ocumpaugh; Jiayi Zhang; Maciej Pankiewicz; Nidhi Nasiar; Zhanlan Wei – Journal of Learning Analytics, 2025
This study explores the potential of the large language model GPT-4 as an automated tool for qualitative data analysis by educational researchers, exploring which techniques are most successful for different types of constructs. Specifically, we assess three different prompt engineering strategies -- Zero-shot, Few-shot, and Fewshot with…
Descriptors: Coding, Artificial Intelligence, Automation, Data Analysis
Direct linkMatheus A. Cezarotto; Pamela N. Martinez; Ruth Constansa Torres Castillo; Theodore Stanford; Christopher Engledowl; Germain Degardin; Barbara Chamberlin – International Journal of Game-Based Learning, 2024
Mathematical learning has an important role and is often prioritized in education. In K-16 education, algebra is one of the most vital mathematical content domains: it represents one of the top barriers for students pursuing a postsecondary education. Game-based learning has been effective in fostering classroom math learning environments that are…
Descriptors: Algebra, Game Based Learning, Mathematics Instruction, Elementary School Mathematics
