Main Article Content

Abstract

In the era of society 5.0, the reach of student learning resources is increasingly wider, with the internet and free AI-based search engines. The use of music during learning is a way for students to increase learning motivation. This research aims to find out: (1) Whether ChatGPT technology and music used during independent study have an impact on students' Mathematics Self-Regulated Learning (MSRL) and Mathematics Anxiety (MA); (2) Whether MSRL and MA have an association with the study program students choose; and (3) Whether MSRL and MA have an association with students' academic achievement. This research uses a correlational descriptive research method. The data collection technique uses a survey, implementing Google Forms. The respondents of this research were students at several universities in Indonesia. The research results show a significant difference in MSRL between students who use ChatGPT and students who do not use ChatGPT during independent learning. However, there was no significant difference in MSRL between students who listened to music and those who did not listen to music during independent learning. There was no significant difference in MA between students who used ChatGPT and those who did not use ChatGPT during independent study. There was no significant difference in MA between students who listened to music and those who did not listen to music during independent study. There is a significant association between MSRL and the origin of the student's Study Program, but there is no significant association between MA and the origin of the Study Program. There is no significant association between MSRL and Academic Achievement. There is no association between MA and students' Academic Achievement.

Keywords

Academic achievement ChatGPT Math anxiety Math self-regulated learning Music

Article Details

References

  1. Abdillah, H. Z., Partino, P., & Madjid, A. (2023). Enhancing student well-being through AI chat GPT in the smart education university learning environment: A preliminary review of research literature. In E3S Web of Conferences. https://doi.org/10.1051/e3sconf/202344005005

  2. Adıgüzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152

  3. Al Mutawah, M. A., Thomas, R., & Khine, M. S. (2017). Investigation into self-regulation, engagement in learning mathematics and science and achievement among Bahrain secondary school students. International Electronic Journal of Mathematics Education, 12(3), 633-653. https://doi.org/10.29333/iejme/639

  4. 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/10.2139/ssrn.4337484

  5. Barroso, C., Ganley, C. M., McGraw, A. L., Geer, E. A., Hart, S. A., & Daucourt, M. C. (2021). A meta-analysis of the relation between math anxiety and math achievement. Psychological bulletin, 147(2), 134-168. https://doi.org/10.1037/bul0000307

  6. Broadbent, J., & Fuller-Tyszkiewicz, M. (2018). Profiles in self-regulated learning and their correlates for online and blended learning students. Educational Technology Research and Development, 66(6), 1435-1455. https://doi.org/10.1007/s11423-018-9595-9

  7. Budiastuti, D., & Bandur, A. (2018). Validitas dan reliabilitas penelitian: Dilengkapi analisis dengan NVIVO, SPSS dan AMOS [Research validity and reliability: Equipped with analysis with NVIVO, SPSS, and AMOS]. Mitra Wacana Media.

  8. Cahyawati, D., Delima, N., & Gunarto, M. (2023). The impact of undergraduate students’ mathematics anxiety and self-concept on their self-regulated learning and academic achievement. Jurnal Elemen, 9(1), 183-196. https://doi.org/10.29408/jel.v9i1.6898

  9. Cardona, M. A., Rodríguez, R. J., & Ishmael, K. (2023). Artificial intelligence and the future of teaching and learning: Insights and recommendations. Retrieved from https://policycommons.net/artifacts/3854312/ai-report/4660267

  10. Cassidy, S. (2011). Self-regulated learning in higher education: identifying key component processes. Studies in Higher Education, 36(8), 989-1000. https://doi.org/10.1080/03075079.2010.503269

  11. Chang, D. H., Lin, M. P.-C., Hajian, S., & Wang, Q. Q. (2023). Educational design principles of using AI chatbot that supports self-regulated learning in education: Goal setting, feedback, and personalization. Sustainability, 15(17), 12921. https://doi.org/10.3390/su151712921

  12. Cohen, L., Manion, L., & Morrison, K. (2017). Research methods in education. Routledge.

  13. D, J., Srinivasan, M., Dhanunjay, G. S., & R, S. (2023). Unveiling student motivations: A study of ChatGPT usage in education. ShodhKosh J. Vis. Perform. Arts, 4(65-73). https://doi.org/10.29121/shodhkosh.v4.i2.2023.503

  14. Darwanto, D., Khasanah, M. a., & Putri, A. M. (2021). Penguatan literasi, numerasi, dan adaptasi teknologi pada pembelajaran di sekolah: Sebuah upaya menghadapi era digital dan disrupsi [Strengthening literacy, numeracy, and adapting technology to learning in schools: An effort to face the digital era and disruption]. Eksponen, 11(2), 25-35. https://doi.org/10.47637/eksponen.v11i2.381

  15. Delima, N., & Cahyawati, D. (2021). Students’ mathematics self-concept, mathematics anxiety and mathematics self-regulated learning during the covid-19 pandemic. Jurnal Pendidikan Matematika, 15(2), 103-114. https://doi.org/10.22342/jpm.15.2.13200.103-114

  16. Duru, D. C., & Okeke, S. O. (2021). Self-regulated learning skill as a predictor of mathematics achievement: a focus on ability levels. Malikussaleh Journal of Mathematics Learning (MJML), 4(2), 86-89. https://doi.org/10.29103/mjml.v4i2.5708

  17. Effeney, G., Carroll, A., & Bahr, N. (2013). Self-Regulated Learning: Key strategies and their sources in a sample of adolescent males. Australian Journal of Educational & Developmental Psychology, 13, 58-74.

  18. El-Seoud, S. A., Ayman, S. E., Nagaty, K., & Karam, O. H. (2023). The Impact of ChatGPT on Student Learning/performing. SSRN. https://doi.org/10.2139/ssrn.4532913

  19. Gabriel, F., Buckley, S., & Barthakur, A. (2020). The impact of mathematics anxiety on self-regulated learning and mathematical literacy. Australian Journal of Education, 64(3), 227-242. https://doi.org/10.1177/0004944120947881

  20. Gan, S. K.-E., Lim, K. M.-J., & Haw, Y.-X. (2016). The relaxation effects of stimulative and sedative music on mathematics anxiety: A perception to physiology model. Psychology of Music, 44(4), 730-741. https://doi.org/10.1177/0305735615590430

  21. He, L., Da, E., & Cheng, M. (2021). Fast development of artificial intelligence on resource constrained devices. ResearchGate. Preprint. https://doi.org/10.13140/RG.2.2.30957.10722

  22. Holmes, S., & Hallam, S. (2017). The impact of participation in music on learning mathematics. London Review of Education, 15(3), 425-438. https://doi.org/10.18546/LRE.15.3.07

  23. Holmes, W., Bialik, M., & Fadel, C. (2023). Artificial intelligence in education. In Data ethics : building trust : how digital technologies can serve humanity (pp. 621-653). Globethics Publications. https://doi.org/10.58863/20.500.12424/4276068

  24. Kusuma, D. A., & Dwipriyoko, E. (2021). The relationship between musical intelligence and the enhancement of mathematical connection ability using ethnomathematics and the mozart effect. Infinity Journal, 10(2), 191-202. https://doi.org/10.22460/infinity.v10i2.p191-202

  25. Kvedere, L. (2014). Mathematics self-efficacy, self-concept and anxiety among 9th grade students in Latvia. Procedia - Social and Behavioral Sciences, 116, 2687-2690. https://doi.org/10.1016/j.sbspro.2014.01.636

  26. OECD. (2023). Artificial intelligence in science. OECD Publishing. https://doi.org/10.1787/a8d820bd-en

  27. Paulino, P., Sá, I., & da Silva, A. L. (2016). Self-regulation of motivation: Contributing to students’ learning in middle school. In Z. Bekirogullari, M. Y. Minas, & R. X. Thambusamy (Eds.), European Proceedings of Social and Behavioural Sciences (pp. 1-6). https://doi.org/10.15405/epsbs.2016.05.1

  28. Purnomo, A. W. A., & Loekmono, J. T. L. (2021). Online counselling: Application of cognitive behaviour therapy and music counselling to reduce math anxiety. KONSELI: Jurnal Bimbingan dan Konseling (E-Journal), 8(1), 115-126. https://doi.org/10.24042/kons.v8i1.7809

  29. Raja, B. W. D. (2017). Upshot of music-blended teaching on anxiety, interest and performance of students with mathematics learning disability. Science Journal of Education, 5(4), 164-173. https://doi.org/10.11648/j.sjedu.20170504.17

  30. Rajan, R., & Manyala, R. O. (2021). Effectiveness of moodle in the learning of introductory physics during COVID-19 pandemic: A case study at the university of Zambia. International Journal of Innovative Science and Research Technology, 6(2), 1124-1131.

  31. Rodriguez, I. A., do Nascimento, J. M., Voigt, M. F., & Dos Santos, F. H. (2019). Entrenamiento musical numérico para niños escolares con bajo rendimiento en matemáticas [Numerical musical training for school children with low performance in mathematics]. Anales de Psicología, 35(3), 405-416. https://doi.org/10.6018/analesps.35.3.340091

  32. Sabzalieva, E., & Valentini, A. (2023). ChatGPT and artificial intelligence in higher education: quick start guide. UNESCO. Retrieved from https://eduq.info/xmlui/handle/11515/38828

  33. Sagge Jr, R. G., & Palomo, E. G. (2014). Music: Effects on students' achievement, habits of mind, and disposition as bases for the development of music-enhanced mathematics program. WVSU Research Journal, 3(1), 48-61. Retrieved from http://122.53.19.169/handle/20.500.14353/72

  34. Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1), 54. https://doi.org/10.1186/s41239-021-00292-9

  35. Sirazieva, L. M., Zamaletdinov, R. R., Fahrutdinova, R. A., & Fahrutdinov, R. R. (2018). Models of self-regulated learning in the context of new higher education standards implementation. The Journal of Social Sciences Research(Spec. Iss.1), 17-22. https://doi.org/10.32861/jssr.spi1.17.22

  36. Šteh, B., & Šarić, M. (2020). Enhancing self-regulated learning in higher education. Journal of Elementary Education, 13(Spec. Iss.), 129-150. https://doi.org/10.18690/rei.13.Special.129-150.2020

  37. Umek, L., Keržič, D., Aristovnik, A., & Tomaževič, N. (2017). An assessment of the effectiveness of Moodle e-learning system for undergraduate public administration education. International Journal of Innovation and Learning, 21(2), 165-177. https://doi.org/10.1504/IJIL.2017.081939

  38. Villavicencio, F. T., & Bernardo, A. B. I. (2016). Beyond math anxiety: Positive emotions predict mathematics achievement, self-regulation, and self-efficacy. The Asia-Pacific Education Researcher, 25(3), 415-422. https://doi.org/10.1007/s40299-015-0251-4

  39. Virtanen, P. (2019). Self-regulated learning in higher education: Basic dimensions, individual differences, and relationship with academic achievement. University of Helsinki. Retrieved from http://hdl.handle.net/10138/307571

  40. Wijaya, T. T., Hidayat, W., Hermita, N., Alim, J. A., & Talib, C. A. (2024). Exploring contributing factors to PISA 2022 mathematics achievement: Insights from Indonesian teachers. Infinity Journal, 13(1), 139-156. https://doi.org/10.22460/infinity.v13i1.p139-156

  41. Wolters, C. A., & Hussain, M. (2015). Investigating grit and its relations with college students’ self-regulated learning and academic achievement. Metacognition and Learning, 10(3), 293-311. https://doi.org/10.1007/s11409-014-9128-9

  42. Xu, Z., Wei, Y., & Zhang, J. (2021). AI Applications in Education. In Artificial Intelligence for Communications and Networks, Cham. https://doi.org/10.1007/978-3-030-69066-3_29

  43. Yamani, M., Almala, A., Elbedour, S., Woodson, K., & Reed, G. (2018). Math anxiety: Trends, issues and challenges. Journal of Psychology and Clinical Psychiatry, 9(1), 00503.

  44. Yuspitasari, R., Rahmawati, R., & Dalimunthe, R. Z. (2020). The effect of using music classic (Mozart) towards student anxiety before the exams. Journal of Family Sciences, 5(1), 47-56. https://doi.org/10.29244/jfs.5.1.47-56

  45. Zachariou, A., Bonneville-Roussy, A., Hargreaves, D., & Neokleous, R. (2023). Exploring the effects of a musical play intervention on young children’s self-regulation and metacognition. Metacognition and Learning, 18(3), 983-1012. https://doi.org/10.1007/s11409-023-09342-1