Lu, C. A., & Dhar, A. K. (2026). From prompt to context: Multi-theoretical ChatGPT design for teacher feedback in K-12 engineering terminology instruction. Theory Into Practice, 65(1), 124. https://doi.org/10.1080/00405841.2025.2607944
Chicago Style (17th ed.) CitationLu, Chan Aristella, and Avik Kumar Dhar. "From Prompt to Context: Multi-theoretical ChatGPT Design for Teacher Feedback in K-12 Engineering Terminology Instruction." Theory Into Practice 65, no. 1 (2026): 124. https://doi.org/10.1080/00405841.2025.2607944.
MLA (9th ed.) CitationLu, Chan Aristella, and Avik Kumar Dhar. "From Prompt to Context: Multi-theoretical ChatGPT Design for Teacher Feedback in K-12 Engineering Terminology Instruction." Theory Into Practice, vol. 65, no. 1, 2026, p. 124, https://doi.org/10.1080/00405841.2025.2607944.