Exploring generative AI assisted feedback writing for students’ written responses to a physics conceptual question with prompt engineering and few-shot learning

Cited by (110)

Items 101–110 of 110

1. Semantic Clustering for Automated Few-Shot Exemplar Selection in LLM-Based Formative Feedback for Middle-School Mathematics: A Feasibility Study
   Yuv Raj Pant, Haitham Y. Adarbah, Afzel Noore B, Dunren Che, Aden Ahmed, Robert Ayala · 2026 · AI
2. Lighting the spark: How LLMs empower underprivileged Chinese high school students to reimagine EFL writing
   Xinyu Ma, Deliang Wang, Gaowei Chen · 2026 · The Journal of Educational Research
3. Toward Mastery Learning: A Conceptual Framework for AI-Supported Feedback in Undergraduate Engineering
   Hong H. Tran, Andrew Katz, Edward Berger, Anyerson Cuervo-Basurto · 2026 · ASEE Annual Conference & Exposition
4. How Generative AI Helps Educational Assessment: Various Roles It Plays in Educational Measurement Research
   Xiuxiu Tang, Audrey Filonczuk, Xiangliang Zhang, Ying Cheng · 2026 · Springer eBooks
5. Do Students Learn from Writing Feedback from an AI Teaching Assistant?
   Xiner Liu, Zhanlan Wei, Ryan S. Baker, Maciej Pankiewicz, Yunlang Dai, Kirk Vanacore · 2026 · Springer eBooks
6. Generative AI in physics education: Approaches for instructors to integrate new tools with proven practices
   Melissa Eblen‐Zayas · 2026 · American Journal of Physics
7. Artificial intelligence in university physics education: a systematic review of empirical studies
   Zhanara MALİKOVA, Bayan Saparbekovna Ualikhanova, Torebai Abdrakhmanovich Turmambekov, Bakytgali Rakhashev, Dauletbay Berdaliyev · 2026 · Frontiers in Education
8. Can Students Provide Higher-Quality Feedback than Generative Artificial Intelligence?
   Min Hae Song, JungYeon Park, Sunlin Kwon, Taein Lee, Jaeseo Lim, Jooyong Park · 2026 · Technology Knowledge and Learning
9. How Generative AI-Assisted Formative Feedback Is Appraised and Implemented in Online Collaborative Learning
   Guoqing Lu, Huimin Zhang, Shen Ba, Lan Yang · 2026 · Journal of Educational Computing Research
10. Developing GenAI-Based Feedback Through Iterative Prompt Design: An Exploratory Study of Online Students’ Cognitive, Affective, and Behavioral Perceptions
    Meva Bayrak Karsli, Sinem Çilligöl Karabey, Muhammed Guler, Ömer Arpacık, Melike Aydemir Arslan, Engin Kurşun, Ebubekir Kaba · 2026 · Applied Measurement in Education