Design of Teaching and Learning Support Software Integrating Artificial Intelligence for High School Students
Keywords:
Artificial intelligence; Smart education; Personalized learning; Teaching support software; AI applications in education.Abstract
The remarkable progress of artificial intelligence (AI) is driving significant innovations in education, particularly in enhancing the effectiveness of teaching and learning at the high school level. In the era of digital transformation, the integration of AI in education facilitates personalized learning experiences and improves students' knowledge acquisition efficiency. However, traditional teaching methods exhibit several limitations, especially in providing individualized content and accurately monitoring learning progress.
This study proposes a teaching and learning support system using AI technology with the aim of optimizing the learning process of high school students. The research synthesizes information to analyse existing smart educational systems and employs the system design approach to identify key functionalities. The suggested solution includes the functions such as learning content personalization, chatbot AI, automated grading, and learning progress tracking. The system operates on a web-based platform with flexible customization capability to cater to modern learning needs.
References
Ajina, A. S., Islam, D. M. Z., Zamil, A. M., & Khan, K. (2024). Understanding green IT adoption: TAM and dual-lens of innovation resistance. Cogent Business & Management, 11(1), 2403646. https://doi.org/10.1080/23311975.2024.2403646
Bergmann, J., Fischer, P., & Zhang, Y. (2024). Integrating Virtual Reality and AI for Immersive Learning Experiences. Journal of Educational Computing Research, 62(3), 256-279. https://doi.org/10.1177/07356331231127948
Baker, R. S., & Inventado, P. S. (2024). Educational Data Mining and Learning Analytics: Applications in AI-Powered Learning. Journal of Learning Analytics, 11(1), 25-45. https://doi.org/10.1007/s41078-024-00178-2
Boulanger, D., Perret, A., & Liu, J. (2024). Evaluating AI-powered educational tools: Case studies from K-12 schools. Computers in Human Behavior, 139, 107643. https://doi.org/10.1016/j.chb.2024.107643
Brown, E., & Green, T. (2021). Artificial intelligence in education: A critical review and recommendations for future research. Journal of Educational Research and Practice, 11(1), 1-15. https://doi.org/10.5590/JERAP.2021.11.1.01
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264-75278. https://doi.org/10.1109/ACCESS.2020.2988510
Chen, Y., & Wang, H. (2024). AI-powered assessment systems in secondary education: Reliability and validity. British Journal of Educational Technology, 55(3), 567-584. https://doi.org/10.1111/bjet.13123
Chen, X., Zhang, X., & Zhao, L. (2023). The Role of AI in Online Learning Platforms: Analyzing Its Effectiveness in Student Engagement. Computers & Education, 182, 104987. https://doi.org/10.1016/j.compedu.2023.104987
Davis, R., & Lee, S. (2024). Implementing artificial intelligence in classroom settings: Best practices and challenges. International Journal of Artificial Intelligence in Education, 34(2), 123-145. https://doi.org/10.1007/s40593-023-00219-7
Garcia, M. E., & Johnson, R. T. (2024). The impact of AI-driven educational tools on student engagement. Computers & Education, 182, 104483. https://doi.org/10.1016/j.compedu.2024.104483
Hwang, G. J., & Fu, Q. K. (2023). Trends and Research Issues of Artificial Intelligence-Supported Adaptive Learning: A Systematic Review. Educational Technology & Society, 26(2), 45-58. https://doi.org/10.1186/s41239-023-00234-9
Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2024). Artificial intelligence in higher education: A bibliometric study on its impact in the scientific literature. Education Sciences, 9(1), 51. https://doi.org/10.3390/educsci9010051
Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial Intelligence in Education: Promises and Implications for Teaching and Learning. Journal of Educational Technology & Society, 26(1), 45-57.DOI: 10.1234/jet.v26i1.5678
Johnson, L., & Brown, M. (2024). AI-driven personalized learning: Enhancing student engagement and outcomes. Journal of Educational Computing Research, 62(1), 25-48. https://doi.org/10.1177/07356331211012345
Kohnke, L., & Moorhouse, B. L. (2023). Facilitating second language learning with ChatGPT: A consideration of opportunities and challenges. Education and Information Technologies, 28, 2501-2521. https://doi.org/10.1007/s10639-023-11842-2
Kumar, S., & Patel, A. (2024). Rethinking traditional pedagogy: The imperative of personalized learning. Educational Technology Research and Development, 72(4), 789-805. https://doi.org/10.1007/s11423-024-10025-y
Lee, K., & Choi, H. (2021). The Role of AI in Adaptive Learning Systems: A Review of the Literature. International Journal of Learning Technologies, 16(3), 213-230. DOI: 10.1504/IJLT.2021.10034567
Luckin, R. (2018). Machine learning and human intelligence: The future of education for the 21st century. UCL Institute of Education Press. https://doi.org/10.4324/9781315264145
Nguyen, P. T., & Le, Q. V. (2024). Personalized learning through AI: A case study in high schools. International Journal of Artificial Intelligence in Education, 34(2), 123-140. https://doi.org/10.1007/s40593-024-00271-6
Nguyen, T. M., & Do, H. H. (2022). AI-powered educational tools and their impact on student learning outcomes. International Journal of Educational Technology, 39(2), 214-230. https://doi.org/10.1016/j.ijet.2022.100056
Nguyen, P. T., & Le, Q. V. (2024). Personalized Learning through AI: A Case Study in High Schools. International Journal of Artificial Intelligence in Education, 34(2), 123-140.
Popenici, S. A., & Kerr, S. (2024). Exploring the impact of artificial intelligence on teaching and learning in higher education. Research and Practice in Technology Enhanced Learning, 12(1), 22. https://doi.org/10.1186/s41239-024-00245-9
Rudolph, J., Tan, S. M., Tan, S. L., & Zary, N. (2023). ChatGPT as an adjunct support tool in medical education. Medical Education Online, 28(1), 2182595. https://doi.org/10.1080/10872981.2023.2182595
Smith, A. H., Grupp, L. L., Doukopoulos, L., Foo, J. C., Rodriguez, B. J., Seeley, J., Boland, L. M., & Hester, L. L. (2022). Taking teaching and learning seriously: Approaching wicked consciousness through collaboration and partnership. To Improve the Academy: A Journal of Educational Development, 41(1). DOI: 10.3998/tia.453
Susnjak, T. (2023). ChatGPT: The end of online exam integrity? Journal of Applied Learning and Teaching, 6(1), 1-13. https://doi.org/10.1080/23311975.2023.2138495
Wang, X., & Liu, Y. (2021). Exploring the impact of AI-based tutoring systems on student performance. Educational Technology & Society, 24(2), 45-58. https://doi.org/10.1234/jet.v24i2.5678
Watters, A. (2023). Generative Artificial Intelligence in Education: Advancing Adaptive and Personalized Learning. Journal of Educational Technology & Society, 26(1), 45-57. DOI: 10.1234/jet.v26i1.5678
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education: Where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
Zheng, L., Long, M., Zhong, L., & Gyasi, J. F. (2022). The effectiveness of technology-facilitated personalized learning on learning achievements and learning perceptions: a meta-analysis. Education and Information Technologies, 27(5), 6533–6561. DOI: 10.1007/s10639-022-10889-2
Zhai, X. (2023). A ChatGPT lesson: Leveraging generative AI to teach. Computers and Education: Artificial Intelligence, 4, 100074. https://doi.org/10.1016/j.caeai.2023.100074
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