The Benifits of Artificial Intelligence in Increasing Students' Interest in Learning ITSKs Muhammadiah Selong Digital Business Innovation
DOI:
https://doi.org/10.61277/ije.v3i2.197Keywords:
Artificial Intelligence, Benefits, Student Learning Motivation , Digital Business Innovation, Higher education, AI-Based EducationAbstract
The use of Artificial Intelligence (AI) in Digital Business Innovation student learning is an increasingly relevant issue in the context of digital education. This Journal Article outlines the core issues by explaining the challenges and benefits of AI in education. The purpose of this journal article is to provide a comprehensive understanding of the role of AI in improving digital business innovation student learning in Indonesia. The research method used is a literature review, which includes an analysis of various sources and perspectives related to the use of AI in higher education. The data used in this article includes information from various literature sources, including research findings, scientific articles, and news related to the implementation of AI in education. Examples of AI applications, such as chatbots for academic guidance, online learning systems, and automated assessments, are obtained from these sources. The results of the data analysis indicate that the use of AI in improving learning motivation for Digital Business Innovation students has significant potential to improve the quality of learning. However, attention must be paid to ethical challenges, the risk of dependency, and the important role of human interaction. Solutions such as AI ethics education, strict multi-party regulation, and the integration of AI with human interaction are integral to the conclusions drawn in this journal article.
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Afrita, Juwika. (2023): “The Role of Artificial Intelligence in Improving the Efficiency and Effectiveness of the Education System.” Comserva: Journal of Research and Community Service 2, no. 12 3181–87. https://doi.org/10.59141/comserva.v2i12.731
Aithal, P. S., & Maiya, A. K. (2023). Innovations in higher education industry–Shaping the future. International Journal of Case Studies in Business, IT, and Education (IJCSBE), 7(4), 283-311.https://doi.org/10.47992/ijcsbe.2581.6942.0321
Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2024). AI-Powered Innovation in Digital Transformation: Key Pillars and Industry Impact. Sustainability, 16(5), 1790. https://doi.org/10.3390/su16051790
Amna Saleem, Huma Kausar, & Farah Deeba. (2021). Social Constructivism: A New Paradigm in Teaching and Learning Environment. PERENNIAL JOURNAL OF HISTORY, 2(2), 403-421. https://doi.org/10.52700/pjh.v2i2.86
Amrish Solanki. (2024). Advancements In Artificial Intelligence: A Comprehensive Review And Future Prospects. International Journal Of Artificial Intelligence Research And Development (IJAIRD), 2(1), 53-64. https://lib-index.com/index.php/IJAIRD/article/view/IJAIRD_02_01_006
Bakker, A. B. (2011). An Evidence-Based Model of Work Engagement. Current Directions in Psychological Science, 20(4), 265-269. https://doi.org/10.1177/0963721411414534
Bankins, S., Formosa, P. The Ethical Implications of Artificial Intelligence (AI) For Meaningful Work. J Bus Ethics 185, 725–740 (2023). https://doi.org/10.1007/s10551-023-05339-7
Cohen, G. (2022). Algorithmic Trading and Financial Forecasting Using Advanced Artificial Intelligence Methodologies. Mathematics, 10(18), 3302. https://doi.org/10.3390/math10183302
Davenport, T., Guha, A., Grewal, D. et al. How artificial intelligence will change the future of marketing. J. of the Acad. Mark. Sci. 48, 24–42 (2020). https://doi.org/10.1007/s11747-019-00696-0
Deutscher, V. and Braunstein, A. (2023), "Measuring the quality of workplace learning environments – a qualitative meta synthesis of employee questionnaires", Journal of Workplace Learning, Vol. 35 No. 9, pp. 134-161. https://doi.org/10.1108/JWL-06-2022-0074
Dilsizian, S.E., Siegel, E.L. Artificial Intelligence in Medicine and Cardiac Imaging: Harnessing Big Data and Advanced Computing to Provide Personalized Medical Diagnosis and Treatment. Curr Cardiol Rep 16, 441 (2014). https://doi.org/10.1007/s11886-013-0441-8
Huang, MH., Rust, R.T. A strategic framework for artificial intelligence in marketing. J. of the Acad. Mark. Sci. 49, 30–50 (2021). https://doi.org/10.1007/s11747-020-00749-9
Kalusivalingam, A. K., Sharma, A., Patel, N., & Singh, V. (2020). Enhancing Customer Service Automation with Natural Language Processing and Reinforcement Learning Algorithms. International Journal of AI and ML, 1(2).
Karyadi, B. (2023). Pemanfaatan Kecerdasan Buatan Dalam Mendukung Pembelajaran Mandiri. Educate : Jurnal Teknologi Pendidikan, 8(02), 253–258. https://doi.org/10.32832/educate.v8i02.14843
Leitão, J., Pereira, D., & Gonçalves, Â. (2019). Quality of Work Life and Organizational Performance: Workers’ Feelings of Contributing, or Not, to the Organization’s Productivity. International Journal of Environmental Research and Public Health, 16(20), 3803. https://doi.org/10.3390/ijerph16203803
Machado, A., Tenório, K., Santos, M.M. et al. Workload perception in educational resource recommendation supported by artificial intelligence: a controlled experiment with teachers. Smart Learn. Environ. 12, 20 (2025). https://doi.org/10.1186/s40561-025-00373-6
Makridakis, S. (2017). The forthcoming Artificial Intelligence (AI) revolution: Its impact on society and firms. Futures, 90, 46-60. https://doi.org/10.1016/j.futures.2017.03.006
McCarthy, J. (2007). From here to human-level AI. Artificial Intelligence, 171(18), 1174-1182. https://doi.org/10.1016/j.artint.2007.10.009
Medhurst, A. R., & Albrecht, S. L. (2016). Salesperson work engagement and flow: A qualitative exploration of their antecedents and relationship. Qualitative Research in Organizations and Management: An International Journal, 11(1), 22-45.
https://doi.org/10.1108/qrom-04-2015-1281
Moleong, L. J. (2016). Metodologi Penelitian Kualitatif XXXV. Bandung: Remaja Rosdakarya.
Moşteanu, N. R. (2024). Adapting to the unpredictable: Building resilience for business continuity in an ever-changing landscape. European Journal of Theoretical and Applied Sciences, 2(1), 444-457.https://doi.org/10.59324/ejtas.2024.2(1).37
Pechenkina, E., Laurence, D., Oates, G. et al. Using a gamified mobile app to increase student engagement, retention and academic achievement. Int J Educ Technol High Educ 14, 31 (2017). https://doi.org/10.1186/s41239-017-0069-7
Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development.
Pratama, M. P., Sampelolo, R., & Lura, H. (2023). Revolutionizing Education: Harnessing The Power Of Artificial Intelligence For Personalized Learning. Klasikal : Journal Of Education, Language Teaching And Science, 5(2), 350–357. https://doi.org/10.52208/klasikal.v5i2.877
Salanova, M., Bakker, A.B. & Llorens, S. Flow at Work: Evidence for an Upward Spiral of Personal and Organizational Resources*. J Happiness Stud 7, 1–22 (2006). https://doi.org/10.1007/s10902-005-8854-8
Subash Patel. (2024). Ai-Driven Educational Interventions: An Empirical Study On Their Efficacy In Improving Academic Performance. International Journal Of Engineering And Technology Research (IJETR), 9(2), 145-156. https://lib-index.com/index.php/IJETR/article/view/IJETR_09_02_013
Subramaniam, N. (2023). Digital transformation and artificial intelligence in organizations. Journal of Financial Transformation, 58, 90-97.
Tien, J.M. Internet of Things, Real-Time Decision Making, and Artificial Intelligence. Ann. Data. Sci. 4, 149–178 (2017). https://doi.org/10.1007/s40745-017-0112-5
Vuori, M. (2012), "Exploring uses of social media in a global corporation", Journal of Systems and Information Technology, Vol. 14 No. 2, pp. 155-170. https://doi.org/10.1108/13287261211232171
Zailani Iman, M., Airlangga Asis, A., & Uzma Zein Rahma, A. (2024). Enhancing Personalized Learning: The Impact of Artificial Intelligence in Education. Edu Spectrum: Journal of Multidimensional Education, 1(2), 101–112. https://doi.org/10.70063/eduspectrum.v1i2.55
Zeide E (2017) The structural consequences of big data-driven education. Big Data 5:2, 164–172.https://doi.org/10.1089/big.2016.0061
Zuchri, A. (2021). Metode penelitian kualitatif. Syakir MediaPress.
