Etika dan Inovasi GenAI: Perspektif Mahasiswa Program Studi Bimbingan dan Konseling Terhadap Peran Konselor

Authors

  • Muhammad Andri Setiawan Faculty of Teacher Training and Education, Universitas Lambung Mangkurat, Banjarmasin, Indonesia
  • Eklys Cheseda Makaria Faculty of Teacher Training and Education, Universitas Lambung Mangkurat, Banjarmasin, Indonesia
  • Muhammad Maulana Faculty of Teacher Training and Education, Universitas Lambung Mangkurat, Banjarmasin, Indonesia
  • Ahmad Suriansyah Graduate Program, Universitas Lambung Mangkurat, Banjarmasin, Indonesia
  • Aslamiah Graduate Program, Universitas Lambung Mangkurat, Banjarmasin, Indonesia

DOI:

https://doi.org/10.55681/jige.v6i2.3807

Keywords:

Digital Ethics, Generative Artificial Intelligence, Technological Innovation, Guidance and Counselling Study Program Students

Abstract

This study aimed to examine the perceptions of Guidance and Counseling students on the ethics and innovation of Generative Artificial Intelligence (GenAI) and its influence on the future counselor’s role. A quantitative descriptive approach was employed using a survey method with a Likert scale. A total of 134 students across three cohorts (2022, 2023, and 2024) participated in this study. The results showed that the 2024 cohort demonstrated a higher tendency to use GenAI and perceived it as a positive innovation, while the 2022 and 2023 cohorts showed greater ethical awareness in using the technology. This indicates a gap between technological proficiency and ethical sensitivity among students. The study concluded that GenAI offers potential benefits for academic innovation but must be balanced with ethical considerations to preserve the integrity of the guidance and counseling profession. These findings highlight the importance of integrating digital ethics into the educational curriculum for prospective counselors.

Downloads

Download data is not yet available.

References

Al-Shabandar, R., Jaddoa, A., Elwi, T., Mohammed, A., & Hussain, A. (2024). A systematic review for the implication of generative AI in higher education. Infocommunications Journal, 16(3), 31–42.

Amendi, R., Halim, E., & Hartono, H. (2024). Exploring Ethical Implications: Unraveling Factors Influencing Data Governance Awareness Behavior in Generative AI Chatbot. 2024 2nd International Conference on Technology Innovation and Its Applications (ICTIIA), 1–6.

Arowosegbe, A., Alqahtani, J. S., & Oyelade, T. (2024). Perception of generative AI use in UK higher education. Frontiers in Education, 9, 1463208.

Baha, B., & Okolo, O. (2024). Navigating the Ethical Dilemma of Generative AI in Higher Educational Institutions in Nigeria using the TOE Framework. European Journal of Computer Science and Information Technology, https://doi.org/10.37745/ejcsit.2013/vol12n81840

Boscardin, C. K., Gin, B., Golde, P. B., & Hauer, K. E. (2024). ChatGPT and generative artificial intelligence for medical education: potential impact and opportunity. Academic Medicine, 99(1), 22–27.

Brue, J., & Brue, J. (2024). Utilizing Generative Artificial Intelligence in the Online Counselor Education Classroom. Journal of Technology in Counselor Education and Supervision, 5(1), 1.

Cano, J. R., & Nunez, N. A. (2024). Unlocking innovation: how enjoyment drives GenAI use in higher education. Frontiers in Education, 9, 1483853.

Costa, K., Ntsobi, P. M., & Mfolo, L. (2024). Challenges, benefits and recommendations for using generative artificial intelligence in academic writing–a case of ChatGPT. Medicon Engineering Themes.

de Carvalho, J. R. M., Amorim, W. V. T., & de Araújo Carvalho, E. K. M. (2022). Organizational performance of a public higher education institution: an analysis from the perspective of absorptive capacity and innovation. International Journal of Business and Management, 17(12), 1–13.

Goosen, W., & Mugumo, P. (2024). A framework for the application of AI in higher education in association with APPETD and Swiss Institute for Management and Innovation. International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024), 13188, 57–70.

Gregory, R. W., & Narang, S. (2024). AI for learning unleashed: Pioneering generative AI in education at the University of Miami. Journal of Information Technology Teaching Cases, 20438869241266256.

Guleria, A., Krishan, K., Sharma, V., & Kanchan, T. (2023). ChatGPT: ethical concerns and challenges in academics and research. The Journal of Infection in Developing Countries, 17(09), 1292–1299.

Hazari, S. (2024). Justification and roadmap for artificial intelligence (AI) literacy courses in higher education. Journal of Educational Research and Practice, 14(1), 7.

Hisham, M., Vinod, N., Kuriakose, D. L., Joshy, M., & Syama, S. (n.d.). Survey on Generative AI in Education.

Holmes, W., & Porayska-Pomsta, K. (2022). The Ethics of Artificial Intelligence in Education: Practices, Challenges, and Debates. Routledge.

Hsiao, C.-H., & Tang, K.-Y. (2024). Beyond acceptance: an empirical investigation of technological, ethical, social, and individual determinants of GenAI-supported learning in higher education. Education and Information Technologies, 1–26.

Iskandarova, S., Yusif-zada, K., & Mukhtarova, S. (2024). Integrating AI Into Higher Education Curriculum in Developing Countries. 2024 IEEE Frontiers in Education Conference (FIE), 1–9.

Johri, A., Hingle, A., & Schleiss, J. (2024). Misconceptions, Pragmatism, and Value Tensions: Evaluating Students’ Understanding and Perception of Generative AI for Education. ArXiv Preprint ArXiv:2410.22289.

Jose, J., & Jose, M. B. J. (2021). Learners’ Perception of Using Microsoft Teams Predicted By Technology Acceptance Model At University of Technology And Applied Sciences, Oman. Webology (ISSN: 1735-188X), 18(6).

Kapsali, M. Z., Livanis, E., Tsalikidis, C., Oikonomou, P., Voultsos, P., Tsaroucha, A., Kapsali, M., & Tsaroucha, A. (2024). Ethical concerns about ChatGPT in healthcare: a useful tool or the tombstone of original and reflective thinking? Cureus, 16(2).

Karahan, H., & Jung, Y. J. (2024). Students’ Perceptions and Use of AI in MLIS Courses. Proceedings of the ALISE Annual Conference.

Kathala, K. C. R., Arroyo, I., & Mannuru, N. R. (2024). Role of Ethical and Responsible AI in Education for Next Generation Inventors. International Conference on Artificial Intelligence in Education, 71–78.

Kemendikbudristek. (2024). Panduan Penggunaan Generative Artificial Intelligence (GenAI) pada Pembelajaran di Perguruan Tinggi. Direktorat Pembelajaran dan Kemahasiswaan, Direktorat Jenderal Pendidikan Tinggi, Riset dan Teknologi, Kementerian Pendidikan, Kebudayaan, Riset dan Teknologi, Indonesia.

Khan, S., Mazhar, T., Shahzad, T., Khan, M. A., Rehman, A. U., Saeed, M. M., & Hamam, H. (2025). Harnessing AI for sustainable higher education: ethical considerations, operational efficiency, and future directions. Discover Sustainability, 6(1), 23.

Leo, D. H. (2023a). ChatGPT and Generative AI in Higher Education: User-Centered Perspectives and Implications for Learning Analytics (short paper). LASI Spain.

Leo, D. H. (2023b). ChatGPT and Generative AI in Higher Education: User-Centered Perspectives and Implications for Learning Analytics (short paper). LASI Spain.

Leong, W. Y., & Zhang, J. B. (2025). Ethical design of AI for education and learning systems. ASM Science Journal, 20(1).

Li, Y., Deng, Y., Peng, B., He, Y., Luo, Y., & Liu, Q. (2024). Generative Artificial Intelligence in Chinese Higher Education: Chinese Undergraduates’ Use, Perception, and Attitudes. Frontiers in Educational Research, 7(4).

Lin, Z. (2023). Why and how to embrace AI such as ChatGPT in your academic life. Royal Society Open Science, 10(8), 230658.

Mujtaba, B. (2024). Clarifying ethical dilemmas in sharpening students’ artificial intelligence proficiency: Dispelling myths about using AI tools in higher education. Business Ethics and Leadership, 8(2), 107–127.

Nebieridze, M., & Jojua, N. (2024). Towards the Use of Artificial Intelligence (ChatGPT) in Higher Education: Students’ Perspective. Journal of Education in Black Sea Region, 9(2), 1–14.

Nikolopoulou, K. (2021). Teachers’ Readiness to Adopt Mobile Learning in Classrooms: A Study in Greece. Technology, Knowledge and Learning, 26(1), 53–77. https://doi.org/10.1007/s10758-020-09453-7

Nikolopoulou, K. (2024). Generative artificial intelligence in higher education: Exploring ways of harnessing pedagogical practices with the assistance of ChatGPT. International Journal of Changes in Education, 1(2), 103–111.

Obrenovic, B., Gu, X., Wang, G., Godinic, D., & Jakhongirov, I. (2024). Generative AI and human–robot interaction: implications and future agenda for business, society and ethics. AI & Society, 1–14.

Oc, Y., Gonsalves, C., & Quamina, L. T. (2024). Generative AI in Higher Education Assessments: Examining Risk and Tech-Savviness on Student’s Adoption. Journal of Marketing Education, 02734753241302459.

Palomino-Flores, P., Cristi-López, R., & Paul, D. (2024). Mastering Ethical Horizons: Exploring AI Integration in Advanced Studies of Engineering, Technology, and Informatics. 2024 IEEE World Engineering Education Conference (EDUNINE), 1–6.

Qadir, J. (2023). Engineering education in the era of ChatGPT: Promise and pitfalls of generative AI for education. 2023 IEEE Global Engineering Education Conference (EDUCON), 1–9.

Rahmadi, M. A., Susilo, D. U., Widyani, R., & Wiradinata, D. R. (2025). THE USE OF GENERATIVE ARTIFICIAL INTELLIGENCE (AI) FOR UNIVERSITY STUDENTS. Jurnal Abdisci, 2(4), 142–153.

Slimi, Z., Benayoune, A., & Alemu, A. E. (2025). Students’ Perceptions of Artificial Intelligence Integration in Higher Education. European Journal of Educational Research, 14(2), 471–484.

Stone, B. W. (2024). Generative AI in Higher Education: Uncertain Students, Ambiguous Use Cases, and Mercenary Perspectives. Teaching of Psychology, 00986283241305398.

Tang, X., Yuan, Z., & Qu, S. (2025). Factors Influencing University Students’ Behavioural Intention to Use Generative Artificial Intelligence for Educational Purposes Based on a Revised UTAUT2 Model. Journal of Computer Assisted Learning, 41(1), e13105.

Topaz, M., Peltonen, L.-M., Michalowski, M., Stiglic, G., Ronquillo, C., Pruinelli, L., Song, J., O’Connor, S., Miyagawa, S., & Fukahori, H. (2024). The ChatGPT effect: nursing education and generative artificial intelligence. Journal of Nursing Education, 1–4.

Tripathi, C. R. (2024). Awareness of Artificial Intelligence (AI) among Undergraduate Students. NPRC Journal of Multidisciplinary Research, 1(7), 126–142.

Vhatkar, A., Pawar, V., & Chavan, P. (2024). Generative AI in Education: A Bibliometric and Thematic Analysis. 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA), 1–6.

Wong, R. S.-Y., Ming, L. C., & Ali, R. A. R. (2023). The intersection of ChatGPT, clinical medicine, and medical education. JMIR Medical Education, 9(1), e47274.

Zohny, H., McMillan, J., & King, M. (2023). Ethics of generative AI. In Journal of medical ethics (Vol. 49, Issue 2, pp. 79–80). Institute of Medical Ethics.

Zunaidah, A., Wiharja, C. K., & Wicaksono, D. W. (2024). User Experience with Grammarly’s Generative AI: Ethical Implications for Improving Writing Skills. 2024 10th International Conference on Education and Technology (ICET), 86–91.

Downloads

Published

2025-06-11

How to Cite

Setiawan, M. A., Makaria, E. C., Maulana, M., Suriansyah, A., & Aslamiah, A. (2025). Etika dan Inovasi GenAI: Perspektif Mahasiswa Program Studi Bimbingan dan Konseling Terhadap Peran Konselor. Jurnal Ilmiah Global Education, 6(2), 704–711. https://doi.org/10.55681/jige.v6i2.3807