Optimizing AI ChatGPT: Prompt Engineering in the Learning Assessment Process for High School Students
DOI:
https://doi.org/10.11594/nstp.2025.4780Keywords:
ChatGPT, Artificial Intelligence, Learning Assessment, Education, High SchoolAbstract
Along with the development of artificial intelligence (AI) technology, the use of AI in education is increasingly widespread, including in the learning assessment process. This study aims to explore the optimization of the use of ChatGPT, a text-based AI model, in creating learning assessments for high school students. ChatGPT offers efficiency in designing various questions, ranging from multiple choice to short essays, which can be used as a tool for teachers to speed up the assessment creation process. With its ability to generate questions quickly, ChatGPT allows teachers to focus more on other aspects of learning, such as monitoring student progress and improving teaching methods. In addition, this AI can also help teachers create different variations of questions for students with varying abilities, ensuring that students' individual needs can be better accommodated. However, there are limitations in its application, especially in producing questions that test students' in-depth understanding, critical thinking skills, and analytical skills. This study uses a qualitative approach by analyzing various studies and literature related to the use of AI in learning and testing several assessments produced by ChatGPT. The study results show that ChatGPT can improve teachers' time efficiency and flexibility in creating questions, especially for questions with a medium level of difficulty. However, more complex assessments require manual adjustments by teachers to ensure the questions' relevance and depth align with the curriculum. The combination of AI and teacher involvement in evaluation can improve the overall quality of learning.
Downloads
References
Aggarwal, D., Sharma, D., & Saxena, A. B. (2023). Adoption of Artificial Intelligence (AI) for development of smart education as the future of a sustainable education system. Journal of Artificial Intelligence, Machine Learning and Neural Network, 36, 23–28. https://doi.org/10.55529/jaimlnn.36.23.28
Apoki, U. C., Hussein, A. M. A., Al-Chalabi, H. K. M., Badica, C., & Mocanu, M. L. (2022). The role of pedagogical agents in personalised adaptive learning: A review. Sustainability, 14(11), 6442. https://doi.org/10.3390/su14116442
Baidoo-Anu, D., & Ansah, L. O. (2023). Education in the era of generative Artificial Intelligence (AI): Understanding the potential benefits of ChatGPT in promoting teaching and learning. Journal of AI, 7(1), 52–62. https://doi.org/10.61969/jai.1337500
Bekeš, E. R., & Galzina, V. (2023). Exploring the pedagogical use of AI-Powered Chatbots educational perceptions and practices. 2023 46th MIPRO ICT and Electronics Convention (MIPRO), 636–641. https://doi.org/10.23919/MIPRO57284.2023.10159734
Cao, H., Zhao, C., Zhu, J., & Mi, S. (2023). Overview of artificial intelligence educational technology. 2023 5th International Conference on Electronics and Communication Technologies (ECT, 124–129. https://doi.org/10.1109/ECT59926.2023.00027
Dogan, M. E., Goru Dogan, T., & Bozkurt, A. (2023). The Use of Artificial Intelligence (AI) in online learning and distance education processes: A systematic review of empirical studies. Applied Sciences (Switzerland), 13(5). https://doi.org/10.3390/app13053056
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., Duan, Y., Dwivedi, R., Edwards, J., Eirug, A., et al. (2021). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 57(July), 0–1. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Essel, H. B., Vlachopoulos, D., Essuman, A. B., & Amankwa, J. O. (2024). ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs). Computers and Education: Artificial Intelligence, 6(July 2023), 100198. https://doi.org/10.1016/j.caeai.2023.100198
Ibrahim, A.-W., Taura, A. A., Iliyasu, A., Shogbesan, Y. O., & Lukman, S. A. (2024). Artificial Intelligence (AI): Perception and utilization of AI Technologies in educational assessment in Nigerian Universities. Edukasiana: Jurnal Inovasi Pendidikan, 3(3), 367–380. https://doi.org/10.56916/ejip.v3i3.763
Korzynski, P., Mazurek, G., Krzypkowska, P., & Kurasinski, A. (2023). Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT. Entrepreneurial Business and Economics Review, 11(3), 25–37. https://doi.org/10.15678/EBER.2023.110302
Kumar, P., S, N., A, S., & K B, K. (2023). Implementation of artificial intelligence in education. International Research Journal of Computer Science, 10(05), 104–108. https://doi.org/10.26562/irjcs.2023.v1005.01
Muhabbat, H., Mukhiddin, K., Jalil, H., Dustnazar, K., Farxod, T., Shavkat, M., Khulkar, K., & Jakhongir, S. (2024). The digital frontier: AI-enabled transformations in higher education management. Ejournal. Upi. Edu, 4(1), 71–88.
OpenAI. (2023). The Art of AI Prompt Crafting: A comprehensive guide for enthusiasts. November 2023. https://community.openai.com/t/the-art-of-ai-prompt-crafting-a-comprehensive-guide-for-enthusiasts/495144/1
Park, J., & Lee, K. (2024). Development of an AI Education Program Centered on AI Learning Process Visualization for Middle School Technology Education. Korean Technology Education Association, 24(1), 109–130. https://doi.org/10.34138/KJTE.2024.24.1.109
Saddhono, K., Sudarsana, I. K., & Iskandar, A. (2019). Implementation of Indonesian language the learning based on information and communication technology in improving Senior High School Students’ Achievement in Surakarta. Journal of Physics: Conference Series, 1254(1). https://doi.org/10.1088/1742-6596/1254/1/012059
Sari, E. C. (2022). Kurikulum Di Indonesia: Tinjauan perkembangan kurikulum pendidikan. Inculco Journal of Christian Education, 2(2), 93–109. https://doi.org/10.59404/ijce.v2i2.54
Spasic, A. J., & Jankovic, D. S. (2023). Using ChatGPT Standard Prompt Engineering Techniques in Lesson Preparation: Role, Instructions and Seed-Word Prompts. 2023 58th International Scientific Conference on Information, Communication and Energy Systems and Technologies, ICEST 2023 - Proceedings, 47–50. https://doi.org/10.1109/ICEST58410.2023.10187269
Supriyanto, E., & Robiana, P. (2020). The semester credit system for curriculum design in Indonesian Islamic Schools 1. Psychology And Education, 57(8), 1068–1072.
Downloads
Published
Conference Proceedings Volume
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this proceedings agree to the following terms:
Authors retain copyright and grant the Nusantara Science and Technology Proceedings right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this proceeding.
Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the proceedings published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this proceeding.
Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See the Effect of Open Access).
How to Cite
Share
