Realizing the possibilities of the large language models
Strategies for prompt engineering in educational inquiries
Bibliographic Data
| ID | 4255187 |
|---|---|
| Authors | Alissa Paglioco Correia (0000-0003-0806-7835, The Ohio State University), Sean Hickey (0000-0001-6993-2410, The Ohio State University), Fan Xu (0009-0001-2895-6798, The Ohio State University) |
| Year | 2025 |
| Volume | 64 |
| Issue | 4 |
| Pages | 434-447 |
| Publication date | 2025-10-02 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Theory Into Practice (JOURNAL) |
| Journal identifiers | ISSN: 0040-5841 • E-ISSN: 1527-2532 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00405841.2025.2528545 |
| OpenAlex | W4412119228 |
| Language | EN |
| Citations received | 2 |
| References cited | 29 |
Engineering education · Engineering ethics · Engineering management · Mathematics education · Pedagogy · Sociology · Artificial Intelligence in Healthcare and Education · Artificial Intelligence in Law · Computer Science · Engineering · Psychology · Topic Modeling
ChatGPT Utility in Healthcare Education, Research, and Practice
Large language models in education
Embracing the future of Artificial Intelligence in the classroom
Prompt Engineering with ChatGPT
Chatting about ChatGPT
Chatting and cheating
ChatGPT for good? On opportunities and challenges of large language models for education
Prompting for pedagogy? Australian F-10 teachers’ generative AI prompting use cases
Can GPT-3 Pass a Writer’s Turing Test
Prompting Change
| Citations per year | 2 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |