Artificial Intelligence Improving Student Learning Achievement

Authors

  • Jajang Hendar Hendrawan Sekolah Tinggi Keguruan dan Ilmu Pendidikan Pasundan
  • Nurul Falah Anggraeni Sekolah Tinggi Keguruan dan Ilmu Pendidikan Pasundan
  • Sumardianshah Bin Silah Universiti Teknologi MARA
  • Ali Anwar Universitas Pasundan

DOI:

https://doi.org/10.47134/ijsl.v5i1.307

Keywords:

Artificial Intelligence (AI), Learning Achievement, Civic Education, Learning Innovation

Abstract

This study examines the application of Artificial Intelligence (AI) in Education, mainly focusing on its impact on student achievement in the Pancasila and Citizenship Education Program at STKIP Pasundan. Students often face challenges when dealing with complex and abstract materials in civic Education. The research employs a quantitative approach, using random sampling and multiple linear regression analysis to assess the influence of AI. The findings reveal that ChatGPT is the most commonly used AI platform among students, valued for its user-friendly features and effective response capabilities. The analysis confirms that AI significantly affects student learning achievement, and its contribution is substantial compared to other influencing factors. Additionally, AI enhances student motivation, material absorption, and innovation in the learning process. In conclusion, AI positively and significantly impacts student achievement and can be integrated into educational practices to foster more innovative and practical learning in the digital era.

Downloads

Download data is not yet available.

References

Alneyadi, S., & Wardat, Y. (2023). ChatGPT: Revolutionizing student achievement in the electronic magnetism unit for eleventh-grade students in Emirates schools. Contemporary Educational Technology, 15(4). https://doi.org/10.30935/cedtech/13417. DOI: https://doi.org/10.30935/cedtech/13417

Alshater, M. (2023). Exploring the Role of Artificial Intelligence in Enhancing Academic Performance: A Case Study of ChatGPT. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4312358. DOI: https://doi.org/10.2139/ssrn.4312358

Chang, H. Y., Binali, T., Liang, J. C., Chiou, G. L., Cheng, K. H., Lee, S. W. Y., & Tsai, C. C. (2022). Ten years of augmented reality in education: A meta-analysis of (quasi-) experimental studies to investigate the impact. Computers and Education, 191(August), 104641. https://doi.org/10.1016/j.compedu.2022.104641. DOI: https://doi.org/10.1016/j.compedu.2022.104641

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. DOI: https://doi.org/10.1109/ACCESS.2020.2988510

Einarsson, H., Lund, S. H., & Jónsdóttir, A. H. (2024). Application of ChatGPT for automated problem reframing across academic domains. Computers and Education: Artificial Intelligence, 6(November 2023), 100194. https://doi.org/10.1016/j.caeai.2023.100194. DOI: https://doi.org/10.1016/j.caeai.2023.100194

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. DOI: https://doi.org/10.1016/j.caeai.2023.100198

Fahimirad, M., & Kotamjani, S. S. (2018). A Review on Application of Artificial Intelligence in Teaching and Learning in Educational Contexts. International Journal of Learning and Development, 8(4), 106. https://doi.org/10.5296/ijld.v8i4.14057. DOI: https://doi.org/10.5296/ijld.v8i4.14057

Fidan, M., & Tuncel, M. (2019). Integrating augmented reality into problem based learning: The effects on learning achievement and attitude in physics education. Computers and Education, 142(September 2018), 103635. https://doi.org/10.1016/j.compedu.2019.103635. DOI: https://doi.org/10.1016/j.compedu.2019.103635

Habibah, J. F. (2024). Students’ Perceptions of Using AI: Navigating Challenges and Maximizing Learning Opportunities in Educational Fields. Science and Education, 3, 251–256.

Hallal, K., Hamdan, R., & Tlais, S. (2023a). Exploring the potential of AI-Chatbots in organic chemistry: An assessment of ChatGPT and Bard. Computers and Education: Artificial Intelligence, 5(September), 100170. https://doi.org/10.1016/j.caeai.2023.100170.

Hallal, K., Hamdan, R., & Tlais, S. (2023b). Exploring the potential of AI-Chatbots in organic chemistry: An assessment of ChatGPT and Bard. Computers and Education: Artificial Intelligence, 5(July), 100170. https://doi.org/10.1016/j.caeai.2023.100170. DOI: https://doi.org/10.1016/j.caeai.2023.100170

Hsu, W. L., & Silalahi, A. D. K. (2024). Exploring the paradoxical use of ChatGPT in education: Analyzing benefits, risks, and coping strategies through integrated UTAUT and PMT theories using a hybrid approach of SEM and fsQCA. Computers and Education: Artificial Intelligence, 7(November), 100329. https://doi.org/10.1016/j.caeai.2024.100329. DOI: https://doi.org/10.1016/j.caeai.2024.100329

Joshi, K., Kumar, R., Bharany, S., Saini, D. K. J. B., Kumar, R., Ibrahim, A. O., … Medani, M. A. (2024). Exploring the Connectivity between Education 4.0 and Classroom 4.0: Technologies, Student Perspectives, and Engagement in the Digital Era. IEEE Access, 12(December 2023), 24179–24204. https://doi.org/10.1109/ACCESS.2024.3357786. DOI: https://doi.org/10.1109/ACCESS.2024.3357786

Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability (Switzerland), 15(16), 1–27. https://doi.org/10.3390/su151612451. DOI: https://doi.org/10.3390/su151612451

Kember, D., & Leung, D. Y. P. (2008). Establishing the validity and reliability of course evaluation questionnaires. Assessment and Evaluation in Higher Education, 33(4), 341–353. https://doi.org/10.1080/02602930701563070. DOI: https://doi.org/10.1080/02602930701563070

Kini, K. R., Harrou, F., Madakyaru, M., & Sun, Y. (2024). Enhanced data-driven monitoring of wastewater treatment plants using the Kolmogorov-Smirnov test. Environmental Science: Water Research and Technology, 10(6), 1464–1480. https://doi.org/10.1039/d3ew00829k. DOI: https://doi.org/10.1039/D3EW00829K

Kumar, D., Verma, C., Singh, P. K., Raboaca, M. S., Felseghi, R. A., & Ghafoor, K. Z. (2021). Computational statistics and machine learning techniques for effective decision making on student’s employment for real-time. Mathematics, 9(11). https://doi.org/10.3390/math9111166. DOI: https://doi.org/10.3390/math9111166

Laupichler, M. C., Aster, A., Perschewski, J. O., & Schleiss, J. (2023). Evaluating AI Courses: A Valid and Reliable Instrument for Assessing Artificial-Intelligence Learning through Comparative Self-Assessment. Education Sciences, 13(10). https://doi.org/10.3390/educsci13100978. DOI: https://doi.org/10.3390/educsci13100978

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(January). https://doi.org/10.1016/j.caeai.2024.100253. DOI: https://doi.org/10.1016/j.caeai.2024.100253

Lee, Y., Shin, T., Tessier, L., Javidan, A., Jung, J., Hong, D., … Dang, J. T. (2024). Harnessing artificial intelligence in bariatric surgery: comparative analysis of ChatGPT-4, Bing, and Bard in generating clinician-level bariatric surgery recommendations. Surgery for Obesity and Related Diseases, 20(7), 603–608. https://doi.org/10.1016/j.soard.2024.03.011. DOI: https://doi.org/10.1016/j.soard.2024.03.011

Mouta, A., Torrecilla-Sánchez, E. M., & Pinto-Llorente, A. M. (2023). Design of a future scenarios toolkit for an ethical implementation of artificial intelligence in education. Education and Information Technologies, 10473–10498. https://doi.org/10.1007/s10639-023-12229-y. DOI: https://doi.org/10.1007/s10639-023-12229-y

Niloy, A. C., Bari, M. A., Sultana, J., Chowdhury, R., Raisa, F. M., Islam, A., … Hossen, M. A. (2024). Why do students use ChatGPT? Answering through a triangulation approach. Computers and Education: Artificial Intelligence, 6(January), 100208. https://doi.org/10.1016/j.caeai.2024.100208. DOI: https://doi.org/10.1016/j.caeai.2024.100208

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2(March). https://doi.org/10.1016/j.caeai.2021.100020. DOI: https://doi.org/10.1016/j.caeai.2021.100020

Peek, N., Combi, C., Marin, R., & Bellazzi, R. (2015). Thirty years of artificial intelligence in medicine (AIME) conferences: A review of research themes. Artificial Intelligence in Medicine, 65(1), 61–73. https://doi.org/10.1016/j.artmed.2015.07.003. DOI: https://doi.org/10.1016/j.artmed.2015.07.003

Rahiman, H. U., & Kodikal, R. (2024). Revolutionizing education: Artificial intelligence empowered learning in higher education. Cogent Education, 11(1). https://doi.org/10.1080/2331186X.2023.2293431. DOI: https://doi.org/10.1080/2331186X.2023.2293431

Rios-Campos, C., Cánova, E. S. M., Zaquinaula, I. R. A., Zaquinaula, H. E. A., Vargas, D. J. C., Peña, W. S., … Arteaga, R. M. Y. (2023). Artificial Intelligence and Education. South Florida Journal of Development, 4(2), 641–655. https://doi.org/10.46932/sfjdv4n2-001. DOI: https://doi.org/10.46932/sfjdv4n2-001

Rokhayani, A., Rukmini, D., Hartono, R., & Mujiyanto, J. (2022). Integrating Technology in Online Learning Based on Computer-Mediated Communication Artificial Intelligence to Improve Students’ Achievement. Journal of Higher Education Theory and Practice, 22(15), 234–244. https://doi.org/10.33423/jhetp.v22i15.5575. DOI: https://doi.org/10.33423/jhetp.v22i15.5575

Sanusi, I. T., Ayanwale, M. A., & Chiu, T. K. F. (2024). Investigating the moderating effects of social good and confidence on teachers’ intention to prepare school students for artificial intelligence education. Education and Information Technologies, 29(1), 273–295. https://doi.org/10.1007/s10639-023-12250-1. DOI: https://doi.org/10.1007/s10639-023-12250-1

Shaheen, M., Pradhan, S., & Ranajee. (2018). Sampling in Qualitative Research. (July 2021), 25–51. https://doi.org/10.4018/978-1-5225-5366-3.ch002. DOI: https://doi.org/10.4018/978-1-5225-5366-3.ch002

Sianturi, R. (2022). Uji homogenitas sebagai syarat pengujian analisis. Jurnal Pendidikan, Sains Sosial, Dan Agama, 8(1), 386–397. https://doi.org/10.53565/pssa.v8i1.507. DOI: https://doi.org/10.53565/pssa.v8i1.507

Velander, J., Taiye, M. A., Otero, N., & Milrad, M. (2024). Artificial Intelligence in K-12 Education: eliciting and reflecting on Swedish teachers’ understanding of AI and its implications for teaching & learning. Education and Information Technologies, 29(4), 4085–4105. https://doi.org/10.1007/s10639-023-11990-4. DOI: https://doi.org/10.1007/s10639-023-11990-4

Xiang, J. (2023). Promoting Innovation and Practice of Introduction to Artificial Intelligence Course with Curriculum Civics as a Handle. Asian Journal of Education and Social Studies, 41(3), 30–36. https://doi.org/10.9734/ajess/2023/v41i3897. DOI: https://doi.org/10.9734/ajess/2023/v41i3897

Yau, K. W., Chai, C. S., Chiu, T. K. F., Meng, H., King, I., & Yam, Y. (2023). A phenomenographic approach on teacher conceptions of teaching Artificial Intelligence (AI) in K-12 schools. Education and Information Technologies, 28(1), 1041–1064. https://doi.org/10.1007/s10639-022-11161-x. DOI: https://doi.org/10.1007/s10639-022-11161-x

Youssef, E., Medhat, M., Abdellatif, S., & Al Malek, M. (2024). Examining the effect of ChatGPT usage on students’ academic learning and achievement: A survey-based study in Ajman, UAE. Computers and Education: Artificial Intelligence, 7(May), 100316. https://doi.org/10.1016/j.caeai.2024.100316. DOI: https://doi.org/10.1016/j.caeai.2024.100316

Zentner, A. (2023). Applied Innovation: Artificial Intelligence in Higher Education. SSRN Electronic Journal, 2017–2018. https://doi.org/10.2139/ssrn.4314180. DOI: https://doi.org/10.2139/ssrn.4314180

Zirar, A. (2023). Exploring the impact of language models, such as ChatGPT, on student learning and assessment. Review of Education, 11(3), 1–18. https://doi.org/10.1002/rev3.3433. DOI: https://doi.org/10.1002/rev3.3433

Downloads

Published

2024-12-24

How to Cite

Hendrawan, J. H., Anggraeni, N. F., Silah, S. B., & Anwar, A. (2024). Artificial Intelligence Improving Student Learning Achievement . International Journal of Social Learning (IJSL), 5(1), 140–154. https://doi.org/10.47134/ijsl.v5i1.307

Issue

Section

Articles