AI in Education: Transforming Student Engagement for the Digital Age

Authors

DOI:

10.29303/jppipa.v11i2.10469

Published:

2025-02-28

Issue:

Vol. 11 No. 2 (2025): February

Keywords:

Artificial intelligence, Digital learning, Educational technology, Higher education, Learning motivation, Student engagement

Research Articles

Downloads

How to Cite

Karim, B. Q., Haryanto, H., & Susanti, E. Y. (2025). AI in Education: Transforming Student Engagement for the Digital Age . Jurnal Penelitian Pendidikan IPA, 11(2), 1127–1136. https://doi.org/10.29303/jppipa.v11i2.10469

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Abstract

This research explores the transformative role of Artificial Intelligence (AI) in enhancing student engagement in higher education, specifically focusing on Educational Technology students at Yogyakarta State University, Indonesia. Through a descriptive quantitative approach, the study investigates how AI integration affects learning motivation, implementation patterns, and overall educational experiences in the digital era. A purposive sample of 25 fourth-semester students completed a structured questionnaire to assess their knowledge, usage patterns, and perceptions of AI in learning. Results revealed a high level of AI awareness (96%) and experience (100%) among students, though only 64% reported regular implementation in academic activities. Student perceptions were overwhelmingly positive, with 96% acknowledging AI's effective impact on learning, 92% reporting significant learning support, and 88% expressing intention to continue using AI in future studies. Despite these positive outcomes, the motivational aspect of AI received a comparatively lower rating (68%), suggesting areas for improvement. The study identifies AI's potential to create personalized, adaptive, and interactive learning environments while addressing concerns about over-reliance and ethical considerations. This research contributes to understanding how AI can be optimally integrated into higher education to enhance student engagement while maintaining fundamental educational values. The findings suggest that AI serves not as a replacement for educators but as a powerful complementary tool that transforms the educational landscape in the digital age.

References

Abba, S. I., Hadi, S. J., Sammen, S. S., Salih, S. Q., Abdulkadir, R. A., Pham, Q. B., & Yaseen, Z. M. (2020). Evolutionary computational intelligence algorithm coupled with self-tuning predictive model for water quality index determination. Journal of Hydrology, 587, 124974. https://doi.org/10.1016/j.jhydrol.2020.124974

Abdellatif, H., Mushaiqri, M. Al, Albalushi, H., Al-Zaabi, A. A., Roychoudhury, S., & Das, S. (2022). Teaching, Learning and Assessing Anatomy with Artificial Intelligence: The Road to a Better Future. International Journal of Environmental Research and Public Health, 19(21), 1–13. https://doi.org/10.3390/ijerph192114209

Arly, A., Dwi, N., & Andini, R. (2023). Implementasi penggunaan artificial intelligence dalam proses pembelajaran mahasiswa ilmu komunikasi di kelas A. Prosiding Seminar Nasional Ilmu Ilmu Sosial (SNIIS), 2, 362–374. Retrieved from https://proceeding.unesa.ac.id/index.php/sniis/article/view/816

Asmiddin, A. M., Nurhuda, P., & Megawati, R. (2023). Advantages and Disadvantages of Chatgpt in Science Learning : A Systematic Literature Review. 9(12), 1335–1341. https://doi.org/10.29303/jppipa.v9i12.6576

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

Bates, T., Cobo, C., Mariño, O., & Wheeler, S. (2020). Can Artificial Intelligence Transform Higher Education? The Aim of This Edition. International Journal of Educational Technology in Higher Education, 17(42). https://doi.org/10.1186/s41239-020-00218-x

Bewersdorff, A., Hornberger, M., Nerdel, C., & Schiff, D. S. (2024). AI Advocates and Cautious Critics: How AI Attitudes, AI Interest, Use of AI, and AI Literacy Build University Students’ AI Self-Efficacy. Computers and Education: Artificial Intelligence, 8. https://doi.org/10.1016/j.caeai.2024.100340

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–78. https://doi.org/10.1109/ACCESS.2020.2988510

Chen, X., Xie, H., Zou, & Hwang, G. J. (2020). Application and Theory Gaps during the Rise of Artificial Intelligence in Education. Computers and Education: Artificial Intelligence, 1(August). https://doi.org/10.1016/j.caeai.2020.100002

Creely, E., & Blannin, J. (2023). Creative Partnerships with Generative AI. Possibilities for Education and Beyond. Thinking Skills and Creativity, 56. https://doi.org/10.1016/j.tsc.2024.101727

ElSayary, A. (2024). An investigation of teachers’ perceptions of using ChatGPT as a supporting tool for teaching and learning in the digital era. Journal of Computer Assisted Learning, 40(3), 931–945. https://doi.org/10.1111/jcal.12926

Goralski, M. A., & Tan, T. K. (2022). Artificial intelligence and poverty alleviation: Emerging innovations and their implications for management education and sustainable development. The International Journal of Management Education, 20(3), 100662. https://doi.org/10.1016/j.ijme.2022.100662

Jin, S. H., Im, K., Yoo, M., Roll, I., & Seo, K. (2023). Supporting Students’ Self-Regulated Learning in Online Learning Using Artificial Intelligence Applications. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00406-5

Kadiyono, A. L., & Pardosi, A. (2023). Kesiapan untuk Mengadopsi Teknologi Baru: Peran Modal Psikologis dan Kesiapan Teknologi. Jurnal Penelitian Pendidik IPA, 9(SpecialIssue), 1032 – 1040. https://doi.org/10.29303/jppipa.v9iSpecialIssue.6552

Kasneci, E., Sessler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., & Kasneci, G. (2023). ChatGPT for good? On opportunities and challenges of large language models for education. Learning and Individual Differences, 103, 102274. https://doi.org/10.1016/j.lindif.2023.102274

Kharisma, D. B., Sudirman, S., & Edi, F. (2023). Current Trend of Artificial Intelligence-Augmented Reality in Science Learning: Systematic Literature Review. Jurnal Penelitian Pendidikan IPA, 9(8), 404–410. https://doi.org/10.29303/jppipa.v9i8.4484

Kim, J., Lee, H., & Cho, Y. H. (n.d.). Learning Design to Support Student-AI Collaboration: Perspectives of Leading Teachers for AI in Education (Vol. 27). Springer US. https://doi.org/10.1007/s10639-021-10831-6

Kurniawanto, H., Asari, A., Ratuningtyas, A., Mubarok, A., & Riyanti, L. E. (2024). Transforming Educational HR Management : Integrating AI and Data Analytics for Enhanced Teacher Performance and Student Outcomes. Jurnal Penelitian Pendidikan IPA, 10(12), 11294–302. https://doi.org/10.29303/jppipa.v10i12.9658

Lestari, D. A. (2024). Workshop Media Pembelajaran Berbasis Artificial Intelegence. Jurnal Pengabdian Masyarakat Dan Penelitian Thawalib, 3(1), 25–32. https://doi.org/10.54150/thame.v3i1.276

Mahya, B. H., & Setiawan, D. (2024). Development of Carabisatulus Chatbot Learning Media Based on Environment to Improve Science Learning Outcomes. Jurnal Penelitian Pendidik IPA, 10(6), 3132 – 3140. https://doi.org/10.29303/jppipa.v10i6.7185

Okulu, H. Z., & Muslu, N. (2024). Designing a course for pre-service science teachers using ChatGPT: What ChatGPT brings to the table. Interactive Learning Environments, 32(10), 7450–7467. https://doi.org/10.1080/10494820.2024.2322462

Ou, A. W., Stöhr, C., & Malmström, H. (2021). Academic Communication with AI-Powered Language Tools in Higher Education: From a Post-Humanist Perspective. System, 121. https://doi.org/10.1016/j.system.2024.103225

Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135–153. https://doi.org/10.2478/jolace-2019-0025

Prananta, A. W., Susanto, N., Purwantoro, A., & Fuadah, N. (2023). ChatGPT artificial intelligence integration in science learning media: Systematic literature review. Jurnal Penelitian Pendidikan IPA, 9(7), 315–321. https://doi.org/10.29303/jppipa.v9i7.4386

Puspitasari, A., Fajariyanti, Y., Pusparisti, M., Amborowati, A., & Tafdhil, M. (2023). Artificial Intelligence in Chatbot Website Platform. Jurnal Penelitian Pendidikan IPA, 9(12), 11145–11150. https://doi.org/10.29303/jppipa.v9i12.5580

Radtke, A., & Rummel, N. (2025). Generative AI in Academic Writing: Does Information on Authorship Impact Learners. Revision Behavior?” Computers and Education: Artificial Intelligence, 8(December 2024). https://doi.org/10.1016/j.caeai.2024.100350

Ramoz Saravia, A. C., & Salazar Rodríguez, Y. A. (2024). Ethics and Governance of Artificial Intelligence in International Trade: A Critical Approach. Clío. Revista de Historia, Ciencias Humanas y Pensamiento Crítico, 9, 1044–1066. https://doi.org/10.5281/zenodo.14567307

Ronsumbre, S., Rukmawati, T., Sumarsono, A., & Waremra, R. S. (2023). Pembelajaran Digital Dengan Kecerdasan Buatan (AI): Korelasi AI Terhadap Motivasi Belajar Siswa. Jurnal Educatio FKIP UNMA, 9(3), 1464–74. https://doi.org/10.31949/educatio.v9i3.5761

Rusdiawan, A., Hasriyani, E., Zeswita, A. L., S, M., P., R. R., & Susanto, N. (2024). Can ChatGPT be integrated into blended learning in science: A systematic literature review. Jurnal Penelitian Pendidikan IPA, 10(2), 38–44. https://doi.org/10.29303/jppipa.v10i2.7001

Sahara, S., Ilmi, M., & Silalahi, R. Y. B. (2023). Pendampingan Edukasi Cerdas Menyikapi Tren AI (Artifial Intelligence) Dalam Dunia Pendidikan. Jurnal Penelitian Dan Pengabdian Masyarakat, 1(4), 354–64. https://doi.org/10.61231/jp2m.v1i4.169

Sugiharto, B., Simanungkalit, R. V, Siregar, I., & Andriani, M. (2023). Artificial Intelligence (AI) Architecture for Integrated Smart Digital Banking System. Jurnal Penelitian Pendidikan IPA, 9(10), 876–882. https://doi.org/10.29303/jppipa.v9i10.4645

Sugiyono, S. (2010). Metode penelitian kuantitatif, kualitatif dan R&D. Bandung: Alfabeta.

Taherdoost, H. (2022). What are different research approaches? Comprehensive Review of Qualitative, quantitative, and mixed method research, their applications, types, and limitations. Journal of Management Science & Engineering Research, 5(1), 53–63. https://doi.org/10.30564/jmser.v5i1.4538

Uzumcu, O., & Acilmis, H. (2024). Do innovative teachers use AI-powered tools more interactively? A study in the context of diffusion of innovation theory. Technology, Knowledge and Learning, 29(2), 1109–1128. https://doi.org/10.1007/s10758-023-09687-1

Verawati, Y., Rahmat, A., & Sanjaya, Y. (2025). Utilization of augmented reality, google search, and chatGPT on students’ concept mastery in excretory system material. Jurnal Penelitian Pendidikan IPA, 11(2), 675. https://doi.org/10.29303/jppipa.v11i2.8694

Wairisal, P. L., Elijonnahdi, E., Susanto, N., S, M., & P, R. R. (2023). Freedom to Learn and Freedom to Teach in Science Learning through ChatGPT. Systematic Literature Review. Jurnal Penelitian Pendidikan IPA, 9(10), 784–790. https://doi.org/10.29303/jppipa.v9i10.5089

Wale, B. D. (2024). Artificial Intelligence in Education: Effects of Using Integrative Automated Writing Evaluation Programs on Honing Academic Writing Instruction. Cakrawala Pendidikan, 43(1), 273–87. https://doi.org/10.21831/cp.v43i1.67715

Wei, L. (2023). Artificial Intelligence in Language Instruction: Impact on English Learning Achievement, L2 Motivation, and Self-Regulated Learning. Frontiers in Psychology, 14(November), 1–14. https://doi.org/10.3389/fpsyg.2023.1261955

Wijayanti, W., Laliyo, L. A. R., Husain, R. I., Katili, M. R., Rahim, M., & Umar, M. K. (2024). Analysis of Teacher Competence in Integrating Technology in The Learning Process in Banggai District. Jurnal Penelitian Pendidikan IPA, 10(12), 10934–10944. https://doi.org/10.29303/jppipa.v10i12.9708

Yassir, M., & Saharuna. (2024). Pengaruh Artificial Intelligence (AI) Terhadap Hasil Belajar Mahasiswa Yang Dimediasi Oleh Motivasi Belajar Dan Kreativitas. Jambura Journal of Educational Management, 1(5), 45–54. https://doi.org/10.37411/jjem.v5i1.2921

Yusriadi, Y., Rusnaedi, N. A. S., Megawati, S., & Sakkir, G. (2023). Implementation of Artificial Intelligence in Indonesia. International Journal of Data and Network Science, 7(1), 283–94. https://doi.org/10.5267/j.ijdns.2022.10.005

Zhang, K., & Aslan, A. B. (2021). AI Technologies for Education: Recent Research & Future Directions. Computers and Education: Artificial Intelligence, 2(100025). https://doi.org/10.1016/j.caeai.2021.100025

Author Biographies

Baskara Qazuaini Karim, Universitas Negeri Yogyakarta

Haryanto, Universitas Negeri Yogyakarta

Eny Yulia Susanti, Universitas Negeri Yogyakarta

License

Copyright (c) 2025 Baskara Qazuaini Karim, Haryanto, Eny Yulia Susanti

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors who publish with Jurnal Penelitian Pendidikan IPA, agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC-BY License). This license allows authors to use all articles, data sets, graphics, and appendices in data mining applications, search engines, web sites, blogs, and other platforms by providing an appropriate reference. The journal allows the author(s) to hold the copyright without restrictions and will retain publishing rights without restrictions.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in Jurnal Penelitian Pendidikan IPA.
  3. 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).