Vol. 6 (2024): january-december: continuous publication
Original article

Impact of Artificial Intelligence on Academic Performance in High School Students: A Correlational Study

Carlos Eduardo Cobos-Gutierrez
Escuela Nacional Superior de Ballet
Bio

Published 2024-12-10

Keywords

  • artificial intelligence,
  • academic performance,
  • educational tools,
  • high school students,
  • technology access

How to Cite

Cobos-Gutierrez, C. E. (2024). Impact of Artificial Intelligence on Academic Performance in High School Students: A Correlational Study. Puriq, 6, e740. https://doi.org/10.37073/puriq.6.740

Métricas alternativas

Abstract

This study explored the relationship between the use of Artificial Intelligence (AI) tools and the academic performance of high school students through a correlational approach. A sample of 350 students from various socioeconomic backgrounds was analyzed to evaluate the impact of AI on key subjects such as mathematics, sciences, and humanities. The results showed a significant improvement in students' grades, especially among those who used AI tools more frequently. Additionally, access to technological devices and frequency of AI usage directly influenced academic outcomes. This study suggests that AI is an effective tool for enhancing learning, although equitable access to technology must be ensured.

Downloads

Download data is not yet available.

References

  1. Banholzer, N., Jent, P., Bittel, P., Zürcher, K., Furrer, L., Bertschinger, S., Weingartner, E., Ramette, A., Egger, M., Hascher, T., & Fenner, L. (2024). Air cleaners and respiratory infections in schools: A modeling study using epidemiological, environmental, and molecular data. Open Forum Infectious Diseases, 11(4). https://doi.org/10.1093/ofid/ofae169
  2. Braga, B. C., Nguyen, P. H., Tran, L. M., Hoang, N. T., Bannerman, B., Doyle, F., Folson, G., Gangupantulu, R., Karachiwalla, N., Kolt, B., McCloskey, P., Palloni, G., Tran, T. H. T., Tro'u'ng, D. T. T., Hughes, D., & Gelli, A. (2024). Feasibility of using an artificial intelligence-based telephone application for dietary assessment and nudging to improve the quality of food choices of female adolescents in Vietnam: Evidence from a randomized pilot study. Current Developments in Nutrition, 8(6), 102063. https://doi.org/10.1016/j.cdnut.2023.102063
  3. Chu, L., Liu, Y., Zhai, Y., Wang, D., & Wu, Y. (2024). The use of deep learning integrating image recognition in language analysis technology in secondary school education. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-52592-5
  4. Destéfano, M., Trifonova, A., & Barajas, M. (2024). Teaching AI to the next generation: A humanistic approach. Digital Education Review, 45, 115–123. https://doi.org/10.1344/der.2024.45.115-123
  5. Egara, F. O., & Mosimege, M. (2024). Exploring the integration of artificial intelligence-based ChatGPT into mathematics instruction: Perceptions, challenges, and implications for educators. Education Sciences, 14(7), 742. https://doi.org/10.3390/educsci14070742
  6. Falloon, G. (2024). Advancing young students’ computational thinking: An investigation of structured curriculum in early years primary schooling. Computers & Education, 216, 105045. https://doi.org/10.1016/j.compedu.2024.105045
  7. Fundi, M., Sanusi, I. T., Oyelere, S. S., & Ayere, M. (2024). Advancing AI education: Assessing Kenyan in-service teachers’ preparedness for integrating artificial intelligence in competence-based curriculum. Computers in Human Behavior Reports, 14, 100412. https://doi.org/10.1016/j.chbr.2024.100412
  8. Jeon, I., Kim, S., & Kang, S. (2024). Developing standards for educational datasets by school level: A framework for sustainable K-12 education. Sustainability, 16(12), 4954. https://doi.org/10.3390/su16124954
  9. Khasawneh, M. a. S. (2024). Teacher opinions on the role of educational robots in enhancing programming skills among hearing-impaired students. International Journal of Learning Teaching and Educational Research, 23(5), 309–322. https://doi.org/10.26803/ijlter.23.5.16
  10. Kindenberg, B. (2024). ChatGPT-generated and student-written historical narratives: A comparative analysis. Education Sciences, 14(5), 530. https://doi.org/10.3390/educsci14050530
  11. Lawrence, L., Echeverria, V., Yang, K., Aleven, V., & Rummel, N. (2023). How teachers conceptualise shared control with an AI co-orchestration tool: A multiyear teacher-centred design process. British Journal of Educational Technology, 55(3), 823–844. https://doi.org/10.1111/bjet.13372
  12. Lee, V. R., Pope, D., Miles, S., & Zárate, R. C. (2024). Cheating in the age of generative AI: A high school survey study of cheating behaviors before and after the release of ChatGPT. Computers and Education Artificial Intelligence, 7, 100253. https://doi.org/10.1016/j.caeai.2024.100253
  13. Ng, D. T. K., Wu, W., Leung, J. K. L., Chiu, T. K. F., & Chu, S. K. W. (2023). Design and validation of the AI literacy questionnaire: The affective, behavioural, cognitive and ethical approach. British Journal of Educational Technology, 55(3), 1082–1104. https://doi.org/10.1111/bjet.13411
  14. Picciano, A. G. (2024). Graduate teacher education students use and evaluate ChatGPT as an essay-writing tool. Online Learning, 28(2). https://doi.org/10.24059/olj.v28i2.4373
  15. Sikstrom, P., Valentini, C., Sivunen, A., & Karkkainen, T. (2024). Pedagogical agents communicating and scaffolding students’ learning: High school teachers’ and students’ perspectives. Computers & Education, 222, 105140. https://doi.org/10.1016/j.compedu.2024.105140
  16. Simeunovic, M., & Ruzicic, V. (2024). Overview and implementation of artificial intelligence in the improvement of educational process. Journal of Scientific & Industrial Research, 83(5). https://doi.org/10.56042/jsir.v83i5.3192
  17. Siyao, L., Ya, W., & Yingfeng, L. (2024). How can industrial intelligence change the employment structure of the floating population? PLoS ONE, 19(5), e0297266. https://doi.org/10.1371/journal.pone.0297266
  18. Sperling, K., Stenliden, L., Nissen, J., & Heintz, F. (2024). Behind the scenes of co-designing AI and LA in K-12 education. Postdigital Science and Education, 6(2), 321–341. https://doi.org/10.1007/s42438-023-00417-5
  19. Yuldashevna, I. A., & Khurana, K. (2024). The impediments to the process of implementing robotics in the school education system in Uzbekistan. SAGE Open, 14(2). https://doi.org/10.1177/21582440241254595
  20. Zheng, S. (2024). The effects of chatbot use on foreign language reading anxiety and reading performance among Chinese secondary school students. Computers and Education Artificial Intelligence, 7, 100271. https://doi.org/10.1016/j.caeai.2024.100271