Engineered Prompts in ChatGPT for Educational Assessment in Software Engineering and Computer Science
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| Pubblicato in: | Education Sciences vol. 15, no. 2 (2025), p. 156 |
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| Autore principale: | |
| Altri autori: | , , |
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MDPI AG
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| Accesso online: | Citation/Abstract Full Text + Graphics Full Text - PDF |
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| 045 | 2 | |b d20250101 |b d20251231 | |
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| 100 | 1 | |a Diyab, Ayman |u Faculty of Engineering, Lakehead University, Thunder Bay, ON P7B 5E1, Canada; <email>rmfrost@lakeheadu.ca</email> | |
| 245 | 1 | |a Engineered Prompts in ChatGPT for Educational Assessment in Software Engineering and Computer Science | |
| 260 | |b MDPI AG |c 2025 | ||
| 513 | |a Journal Article | ||
| 520 | 3 | |a AI Assess, a ChatGPT-based assessment system utilizing the ChatGPT platform by OpenAI, composed of four components, is proposed herein. The components are tested on the GPT model to determine to what extent they can grade various exam questions based on learning outcomes, generate relevant practice problems to improve content retention, identify student knowledge gaps, and provide instantaneous feedback to students. The assessment system has been explored using software engineering and computer science courses and is successful through testing and evaluation. AI Assess has demonstrated the ability to generate practice problems based on syllabus information and learning outcomes. The components have been shown to identify weak areas for students. Finally, it has been shown to provide different levels of feedback. The combined set of components, if incorporated into a complete software system and implemented in classrooms with proposed transparency mechanisms, has vast potential to reduce instructor workload, improve student understanding, and enhance the learning experience. The potential for GPT-powered chatbots in educational assessments is vast and must be embraced by the education sector. | |
| 610 | 4 | |a OpenAI | |
| 653 | |a Teaching | ||
| 653 | |a Language | ||
| 653 | |a Software | ||
| 653 | |a Students | ||
| 653 | |a Feedback | ||
| 653 | |a Educational evaluation | ||
| 653 | |a Educational technology | ||
| 653 | |a English as a second language | ||
| 653 | |a Education | ||
| 653 | |a Computer science | ||
| 653 | |a Chatbots | ||
| 653 | |a Innovations | ||
| 653 | |a Machine learning | ||
| 653 | |a Human-computer interaction | ||
| 653 | |a Artificial intelligence | ||
| 653 | |a Educational objectives | ||
| 653 | |a Learning outcomes | ||
| 653 | |a Neural networks | ||
| 653 | |a Engineering | ||
| 653 | |a Natural language processing | ||
| 653 | |a Large language models | ||
| 653 | |a Transparency | ||
| 653 | |a Learning | ||
| 653 | |a Components | ||
| 653 | |a Evaluation | ||
| 653 | |a Classrooms | ||
| 653 | |a Influence of Technology | ||
| 653 | |a Teaching Methods | ||
| 653 | |a Prompting | ||
| 653 | |a Learning Processes | ||
| 653 | |a Grading | ||
| 653 | |a English (Second Language) | ||
| 653 | |a Second Languages | ||
| 653 | |a Student Improvement | ||
| 653 | |a Knowledge Representation | ||
| 653 | |a Brain | ||
| 653 | |a Short Term Memory | ||
| 653 | |a Feedback (Response) | ||
| 653 | |a Educational Assessment | ||
| 653 | |a Symbolic Learning | ||
| 653 | |a Outcomes of Education | ||
| 653 | |a Language Processing | ||
| 653 | |a Engineering Education | ||
| 653 | |a Networks | ||
| 653 | |a Educational Facilities Improvement | ||
| 700 | 1 | |a Russell Morris Frost |u Faculty of Engineering, Lakehead University, Thunder Bay, ON P7B 5E1, Canada; <email>rmfrost@lakeheadu.ca</email> | |
| 700 | 1 | |a Fedoruk, Benjamin David |u Mitch and Leslie Frazer Faculty of Education, Ontario Tech University, Oshawa, ON L1G 0C5, Canada | |
| 700 | 1 | |a Diyab, Ahmad |u Shad Alumni, Western University, London, ON N6A 3K7, Canada; <email>ahmaddiyab0405@lakeheadschools.ca</email> | |
| 773 | 0 | |t Education Sciences |g vol. 15, no. 2 (2025), p. 156 | |
| 786 | 0 | |d ProQuest |t Education Database | |
| 856 | 4 | 1 | |3 Citation/Abstract |u https://www.proquest.com/docview/3170873298/abstract/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text + Graphics |u https://www.proquest.com/docview/3170873298/fulltextwithgraphics/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |
| 856 | 4 | 0 | |3 Full Text - PDF |u https://www.proquest.com/docview/3170873298/fulltextPDF/embedded/7BTGNMKEMPT1V9Z2?source=fedsrch |