Integrating Artificial Intelligence in E-Learning for Organizational Well-Being through Orange Technology Mapping
DOI:
https://doi.org/10.34306/itsdi.v7i1.706Keywords:
Artificial Intelligence, e-Learning, Bibliometric Analysis, Organizational Well-Being, Orange Technology, Sustainable Development GoalsAbstract
This study conducts a bibliometric analysis of Artificial Intelligence (AI) in e-learning, emphasizing its role in organizational well-being and educational transformation. Using Scopus as the primary database and VOSviewer for visualization, 557 articles published between 2020 and 2025 were analyzed across country, organization, source, author, document, and keyword networks. The results reveal that the United States, United Kingdom, and Germany act as central contributors, while India, Saudi Arabia, Singapore, Hong Kong, and Egypt are rapidly growing in influence. Source analysis identifies leading journals that shape the discourse alongside new outlets that diversify the field. Author and document coupling highlight key works that connect immersive learning environments with pedagogy, while keyword analysis identifies three major clusters related to ethics and governance, motivation and technology enhanced learning, and AI tools such as ChatGPT and generative AI. Overall, the findings show that AI in e-learning has evolved from experimental initiatives into a multidimensional, evidence-based domain. The study concludes by emphasizing how Orange Technology and TRAIVIS frameworks can operationalize ethics by design, support adaptive tutoring, and align AI-driven learning ecosystems with sustainable, well-being-centered educational goals.
Downloads
References
V. Aguilos and K. Fuchs, “The perceived usefulness of gamified e-learning: A study of undergraduate students with implications for higher education,” Frontiers in Education, vol. 7, no. July, pp. 1–11, 2022.
A. Al-Khoury, S. A. Hussein, M. Abdulwhab, Z. M. Aljuboori, H. Haddad, M. A. Ali, I. A. Abed, and H. H. Flayyih, “Intellectual capital history and trends: A bibliometric analysis using scopus database,” Sustainability (Switzerland), vol. 14, no. 18, 2022.
F. Almasri, “Exploring the impact of artificial intelligence in teaching and learning of science: A systematic review of empirical research,” Research in Science Education, vol. 54, no. 5, pp. 977–997, 2024.
T. Pujiati, H. Setiyowati, B. Rawat, N. P. L. Santoso, and M. G. Ilham, “Exploring the role of artificial intelligence in enhancing environmental health: Utaut2 analysis,” Sundara Advanced Research on Artificial Intelligence, vol. 1, no. 1, pp. 37–46, 2025.
T. K. F. Chiu, “Future research recommendations for transforming higher education with generative ai,” Computers and Education: Artificial Intelligence, vol. 6, no. November 2023, p. 100197, 2024.
——, “The impact of generative ai (genai) on practices, policies and research direction in education: A case of chatgpt and midjourney,” Interactive Learning Environments, vol. 32, no. 10, pp. 6187–6203, 2024.
R. Royani, S. D. Maulina, S. Sugiyono, R. W. Anugrah, and B. Callula, “Recent developments in healthcare through machine learning and artificial intelligence,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 6, no. 1, pp. 86–94, 2024.
Dahri, Yahaya, Al-Rahmi, Almuqren, Almgren, Alshimai, and S. Al-Adwan, “The effect of ai gamification on students’ engagement and academic achievement in malaysia: Sem analysis perspectives,” IEEE Access, vol. 13, pp. 70 791–70 810, April 2025.
Xu, “Action research plan: a methodology to examine the impact of artificial intelligence (ai) on the cognitive abilities of university students,” Discover Education, vol. 3, no. 1, 2024.
Republic of Indonesia, “Law of the republic of indonesia number 27 of 2022 concerning personal data protection,” State Gazette of the Republic of Indonesia of 2022 Number 196, 2022, this law is the legal basis for personal data protection in Indonesia. [Online]. Available: https://peraturan.bpk.go.id/Details/229798/uu-no-27-tahun-2022
R. D. Dewi, Widodo and E. C. Prima, “Web-based inquiry in science learning: Bibliometric analysis,” Indonesian Journal of Science and Mathematics Education, vol. 4, no. 2, pp. 191–203, 2021.
Dieterle, Dede, and Walker, “The cyclical ethical effects of using artificial intelligence in education,” AI & Society, vol. 39, no. 2, pp. 633–643, 2024.
Goel, Singhal, Bhadoria, Saraswat, and Patel, “Ai and machine learning in smart education: Enhancing learning experiences through intelligent technologies,” in Infrastructure Possibilities and Human Centered Approaches with Industry 5.0. IGI Global Scientific Publishing, 2024, pp. 36–55.
D. S. S. Wuisan, R. A. Sunardjo, Q. Aini, N. A. Yusuf, and U. Rahardja, “Integrating artificial intelligence in human resource management: A smartpls approach for entrepreneurial success,” APTISI Transactions on Technopreneurship, vol. 5, no. 3, pp. 334–345, 2023.
M. R. Anwar and L. D. Sakti, “Integrating artificial intelligence and environmental science for sustainable urban planning,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 5, no. 2, pp. 179–191, 2024.
C. E. Goh, L. Z. Lim, A. M. M¨uller, M. L. Wong, and X. Gao, “When e-learning takes centre stage amid covid-19: Dental educators’ perspectives and their future impacts,” European Journal of Dental Education, vol. 26, no. 3, pp. 506–515, 2022.
C. Halkiopoulos and E. Gkintoni, “Leveraging ai in e-learning: Personalized learning and adaptive assessment through cognitive neuropsychology—a systematic analysis,” Electronics (Switzerland), vol. 13, no. 18, 2024.
S. Hobert, A. Følstad, and E. L. C. Law, “Chatbots for active learning: A case of phishing email identification,” International Journal of Human Computer Studies, vol. 179, p. 103108, 2023.
Kamid and K. Anwar, “Enhancing learning experiences and outcomes using virtual media for children with autism spectrum disorders,” Mathematics Education Journal, vol. 19, no. 2, pp. 197–216, 2025.
Kamil, Bist, Rahardja, Santoso, and Iqbal, “Covid-19: Implementation e-voting blockchain concept,” International Journal of Artificial Intelligence Research, vol. 5, no. 1, pp. 25–34, 2021.
Kosasi, Lukita, Chakim, Faturahman, and Kusumawardhani, “The influence of digital artificial intelligence technology on quality of life with a global perspective,” APTISI Transactions on Technopreneurship (ATT), vol. 5, no. 3, pp. 240–250, 2023.
I. Kulkov, J. Kulkova, R. Rohrbeck, L. Menvielle, V. Kaartemo, and H. Makkonen, “Artificial intelligence-driven sustainable development: Examining organizational, technical, and processing approaches to achieving global goals,” Sustainable Development, vol. 32, no. 3, pp. 2253–2267, 2024.
A. Leavy, L. Dick, M. Meletiou-Mavrotheris, E. Paparistodemou, and E. Stylianou, “The prevalence and use of emerging technologies in steam education: A systematic review of the literature,” Journal of Computer Assisted Learning, vol. 39, no. 4, pp. 1061–1082, 2023.
M. Wang and D. Prajogo, “The effect of supply chain digitalisation on a firm’s performance,” Industrial Management & Data Systems, vol. 124, no. 5, pp. 1725–1745, 2024.
Liu, Guo, Liang, Hou, Zhan, Tang, Luo, and Weng, “Deep learning based knowledge tracing: A review, a tool and empirical studies,” IEEE Transactions on Knowledge and Data Engineering, 2025.
F. Zidan and D. E. Febriyanti, “Optimizing agricultural yields with artificial intelligence-based climate adaptation strategies,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 5, no. 2, pp. 136–147, 2024.
G. Makransky and G. B. Petersen, “The cognitive affective model of immersive learning (camil): A the oretical research-based model of learning in immersive virtual reality,” Educational Psychology Review, vol. 33, no. 3, pp. 937–958, 2021.
N. Lutfiani, S. Wijono, U. Rahardja, A. Iriani, Q. Aini, and R. A. D. Septian, “A bibliometric study: Recommendation based on artificial intelligence for ilearning education,” APTISI Transactions on Technopreneurship, vol. 5, no. 2, pp. 109–117, 2023.
M. Veras, J. O. Dyer, M. Rooney, P. G. B. Silva, D. Rutherford, and D. Kairy, “Usability and efficacy of artificial intelligence chatbots (chatgpt) for health sciences students: Protocol,” 2023.
A. Mart´ın-Mart´ın, M. Thelwall, E. Orduna-Malea, and E. Delgado L´opez-C´ozar, “Google scholar, microsoft academic, scopus, dimensions, web of science, and opencitations’ coci: A multidisciplinary comparison of coverage via citations,” Scientometrics, vol. 126, no. 1, 2021.
H. Matovu, D. A. K. Ungu, M. Won, C. C. Tsai, D. F. Treagust, M. Mocerino, and R. Tasker, “Immersive virtual reality for science learning: Design, implementation, and evaluation,” Studies in Science Education, vol. 59, no. 2, pp. 205–244, 2023.
Upadhyay, Bertrand, and McNeese, “Collaborative augmented reality in higher education: A systematic review of effectiveness, outcomes, and challenges,” Applied Ergonomics, vol. 121, 2024.
Y. Meilani, A. Kho, R. A. Sunarjo, and M. P. Berlianto, “Human technology sustainability: Leveraging artificial intelligence in education for inclusive and ethical futures,” pp. 1–15, 2025.
P. A. Oganda and R. F. Terizla, “Strategic management practices in dynamic business environments,” APTISI Transactions on Management, vol. 8, no. 1, pp. 24–31, 2024.
S. Tyagi, R. Sibal, and B. Suri, “Empirically developed framework for building trust in distributed agile teams,” Information and Software Technology, vol. 145, p. 106828, 2022.
C. Troussas, A. Krouska, C. Papakostas, P. Mylonas, and C. Sgouropoulou, “Assessing the impact of integrating chatgpt as an advice generator in educational software,” in Proceedings of the 2024 9th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM 2024), 2024, pp. 127–133.
R. Pranckut˙e, “Scopus and web of science stands out for systematic reviews, offering comprehensive coverage across disciplines, including journals, conferences, and patents,” Publications, vol. 9, no. 1, pp. 1–59, 2021.
L. P. Prieto, G. Pishtari, Y. Dimitriadis, M. J. Rodr´ıguez-Triana, T. Ley, and P. Odriozola-Gonz´alez, “Single-case learning analytics: Feasibility of a human-centered analytics approach to support doctoral education,” Journal of Universal Computer Science, vol. 29, no. 9, 2023.
U. Rahardja, Q. Aini, A. Khairunisa, and S. Millah, “Implementation of blockchain technology in learning management system (lms),” APTISI Transactions on Management (ATM), vol. 6, no. 2, pp. 112–120, 2021.
A. K. C. Randall, “A synthesis proposal: Merging ai in education with automata theory,” in CEUR Workshop Proceedings, vol. 3927, 2025, pp. 95–103.
B. Rawat, A. S. Bist, P. A. Sunarya, M. Hardini, N. A. Santoso, and R. Tarmizi, “Unveiling happiness disparities: A machine learning approach to city-village comparison,” in 2023 11th International Conference on Cyber and IT Service Management (CITSM), 2023, pp. 1–5.
Singh, Brooks, and Doroudi, “Learnersourcing in theory and practice: Synthesizing the literature and charting the future,” in L@S 2022 - Proceedings of the 9th ACM Conference on Learning @ Scale, vol. 6, 2022, pp. 234–245.
L. Limajatini, S. Suhendra, G. A. Pangilinan, and M. G. Ilham, “Integration of artificial intelligence in the financial sector: Innovation, risks and opportunities,” International Journal of Cyber and IT Service Management, vol. 5, no. 1, pp. 58–70, 2025.
T. K. Chiu, “Future research recommendations for transforming higher education with generative ai,” Computers and education: Artificial intelligence, vol. 6, p. 100197, 2024.
G. Lampropoulos, E. Keramopoulos, K. Diamantaras, and G. Evangelidis, “Augmented reality and gamification in education: A systematic literature review of research, applications, and empirical studies,” Applied sciences, vol. 12, no. 13, p. 6809, 2022.
A. Makri, D. Vlachopoulos, and R. A. Martina, “Digital escape rooms as innovative pedagogical tools in education: A systematic literature review,” Sustainability, vol. 13, no. 8, p. 4587, 2021.
T. K. Chiu, Q. Xia, X. Zhou, C. S. Chai, and M. Cheng, “Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education,” Computers and Education: Artificial Intelligence, vol. 4, p. 100118, 2023.
N. Bergdahl, “Engagement and disengagement in online learning,” Computers & Education, vol. 188, p. 104561, 2022.
G. Kalogeratos, D. Tsogka, C. Tseremegklis, E. Anastasopoulou, and C. Pierrakeas, “Digital skills in education: Bridging the gap between traditional learning and modern technology,” in ICERI2024 Proceedings. IATED, 2024, pp. 4409–4418.
G. Lampropoulos, “Blockchain in smart grids: A bibliometric analysis and scientific mapping study,” J, vol. 7, no. 1, pp. 19–47, 2024.
I. Tal, L. Zou, M. Farren, and G.-M. Muntean, “Improving learner experience, motivation and knowledge gain when using mulsemedia-based technology enhanced learning,” in International Conference on Computer Supported Education, 2021, pp. 146–161.
S. S. Sri, K. Rajitha, D. Muraleedharan, S. K. Premkishor, R. Tamil Elakkia, and S. Prabhakaran, “Ecohumanism and democratic culture in the transformation of education for the wellbeing of engineering students,” Journal of Ecohumanism, vol. 4, no. 1, pp. 2211–2219, 2025.
Srivastava, Fan, Rakovic, Singh, Jovanovic, Graaf, Lim, Surendrannair, Kilgour, Molenaar, Bannert, Moore, and Gasevic, “Effects of internal and external conditions on strategies of self-regulated learning: A learning analytics study,” in ACM International Conference Proceeding Series, 2022, pp. 392–403.
R. A. Sunarjo, “The impact of dynamic career adaptability as moderator of relationship perceived organizational support on work engagement,” in Proceeding National Conference Business, Management, and Accounting (NCBMA), vol. 5, 2022, pp. 432–441.
P. A. Sunarya, U. Rahardja, S. C. Chen, Y. M. Li, and M. Hardini, “Deciphering digital social dynamics: A comparative study of logistic regression and random forest in predicting e-commerce customer behavior,” Journal of Applied Data Sciences, vol. 5, no. 1, pp. 100–113, 2024.
R. Widayanti and T. Mariyanti, “Ai dialog: Utilization, challenges, and ethics in the age of artificial intelligence,” International Transactions on Artificial Intelligence, vol. 2, no. 1, pp. 40–48, 2023.
M. Zaim, S. Arsyad, B. Waluyo, H. Ardi, M. Al Hafizh, M. Zakiyah, W. Syafitri, A. Nusi, and M. Hardiah, “Ai-powered efl pedagogy: Integrating generative ai into university teaching preparation through utaut and activity theory,” Computers and Education: Artificial Intelligence, vol. 7, p. 100335, 2024.
Y. Zhang, E. L. Ouh, A. Ho, S. L. Lo, K. W. Tan, and F. Lin, “Prompttutor: Effects of an llm-based chatbot on learning outcomes and motivation in flipped classrooms,” in Proceedings of the Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), vol. 1, 2025, pp. 445–451.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Arthur Simanjuntak, Asep Sutarman, Sheila Aulia Anjani, Asher Nuche

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










