Enhancing Academic Wellbeing through Empathic Digital Attendance Systems using UTAUT Approach

Authors

Keywords:

Online Attendance System, Attendance Performance, UTAUT Approach, Case Study, Educational Environment

Abstract

The increasing integration of information technology in higher education has transformed various academic processes, including attendance monitoring. Online attendance systems are gaining traction as institutions seek greater accuracy, transparency, and operational efficiency in managing student participation. This study aims to analyze how the use of an online attendance system influences student attendance performance within the framework of the Unified Theory of Acceptance and Use of Technology (UTAUT). It explores key determinants that shape user acceptance and behavioral responses toward the system. A quantitative case study was conducted at a higher education institution, involving students and academic staff who actively used the system. Data were collected through structured questionnaires and analyzed using statistical techniques to examine the relationships among system usage, perceived usefulness, ease of use, and attendance performance. The findings reveal that the online attendance system significantly improves student attendance performance by enhancing consistency, reducing manual errors, and encouraging timely participation. Perceived usefulness and ease of use were found to mediate the relationship between system usage and attendance outcomes, demonstrating the system’s practical and motivational impact. This study underscores the vital role of digital solutions in strengthening attendance management and promoting user compliance. The results offer valuable guidance for institutions seeking to optimize online attendance systems. Future research should involve broader samples and comparative institutional settings to generate more comprehensive insights.

References

[1] M. Alojail, “Utaut model for digital mental health interventions: Factors influencing user adoption.” International Journal of Advanced Computer Science & Applications, vol. 15, no. 8, 2024.

[2] C. Lukita, A. W. A. Rahman, I. N. Hikam, and U. Rahardja, “Integrating strategic management with sdg 10 for sustainable development and equity,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 2, pp. 638–649, 2025.

[3] L. C. Chaanine and A. Kokkinaki, “Social perceptiveness and teamwork effectiveness as determinants of moocs adoption in professional e-training,” Lex Localis, vol. 23, no. S6, pp. 1587–1599, 2025.

[4] J. E. Raffaghelli, M. E. Rodr´ıguez, A.-E. Guerrero-Rold´an, and D. Baneres, “Applying the utaut model to explain the students’ acceptance of an early warning system in higher education,” Computers & Education, vol. 182, p. 104468, 2022.

[5] M. N. Ayubi and A. Retnowardhani, “Optimizing learning experiences: A study of student satisfaction with lms in higher education,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 2, pp. 527–541, 2025.

[6] O. S. Hidayat et al., “Measuring blended learning acceptance: Integrative learning and utaut models,” International Journal of Environmental Sciences, vol. 11, no. 3s, pp. 259–274, 2025.

[7] Y. Pan and W. He, “Research on the influencing factors of promoting flipped classroom teaching based on the integrated utaut model and learning engagement theory,” Scientific Reports, vol. 14, no. 1, p. 15201, 2024.

[8] K. Aratthanage, B. Wickramasinghe, H. Senanayake, P. Dabare, W. Fernando, and N. Siyad, “Enhancing student engagement in sri lankan higher education through iot: Utaut model,” in 2025 5th International Conference on Advanced Research in Computing (ICARC). IEEE, 2025, pp. 1–6.

[9] D. Gathmyr, U. Suhud, H. Herlitah, H. Hamidah, R. T. H. Safariningsih, and J. Wilson, “Technological advancements in perceived organizational support enhancing healthcare systems towards sustainable development goals,” Aptisi Transactions on Technopreneurship (ATT), vol. 7, no. 2, pp. 516–526, 2025.

[10] S. H. Alshammari and A. F. Alkhwaldi, “An integrated approach using social support theory and technology acceptance model to investigate the sustainable use of digital learning technologies,” Scientific Reports, vol. 15, no. 1, p. 342, 2025.

[11] L. Ballestra Caffaratti, C. Longobardi, L. Badenes-Ribera, and D. Marengo, “Ai adoption in education: Extending utaut2 for adolescents 1 adolescent ai adoption in education: Extending utaut2 with psychological and contextual insights,” Frontiers in Artificial Intelligence, vol. 8, p. 1614993.

[12] S. A. Sibagariang, N. Septiani, and A. Rodriguez, “Enhancing educational management through social media and e-commerce-driven branding,” International Journal of Cyber and IT Service Management (IJCITSM), vol. 5, no. 2, pp. 235–245, 2025.

[13] J. Manning, “Contextual and design factors that influence the use of consumer technologies for self-management of stress by teachers,” Ph.D. dissertation, UCL (University College London), 2023.

[14] H. Ates and M. Polat, “Exploring adoption of humanoid robots in education: Utaut-2 and toe models for science teachers,” Education and Information Technologies, pp. 1–42, 2025.

[15] L. A. Garvin, M. A. Greenan, E. J. Edelman, C. Slightam, D. K. McInnes, and D. M. Zulman, “Increasing use of video telehealth among veterans experiencing homelessness with substance use disorder: design of a peer-led intervention,” Journal of technology in behavioral science, vol. 8, no. 3, pp. 234–245, 2023.

[16] A. I. Zulkarnain, N. A. Achsani, M. Siregar, and I. S. Beik, “Enhancing accountability in hajj fund governance through regulatory impact analysis and value chain model,” International Journal of Cyber and IT Service Management (IJCITSM), vol. 5, no. 2, pp. 198–213, 2025.

[17] D. Winckler, “Not another box to check! using the utaut to explore nurses’ psychological adaptation to electronic health record usability,” in Nursing forum, vol. 57, no. 3. Wiley Online Library, 2022, pp. 412–420.

[18] P. Reyes-Mercado, K. Barajas-Portas, J. Kasuma, M. Almonacid-Duran, and G. A. Zamacona-Aboumrad, “Adoption of digital learning environments during the covid-19 pandemic: merging technology readiness index and utaut model,” Journal of International Education in Business, vol. 16, no. 1, pp. 91–114, 2022.

[19] H. D. Natalia and A. Aprillia, “Exploring the impact of e-wom on generation z purchase intention: The mediating role of brand image and perceived quality,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 6, no. 2, pp. 164–176, 2025.

[20] J. Oleet and C. Yu, “Ai and the future of education,” in Examining AI Disruption in Educational Settings: Challenges and Opportunities. IGI Global Scientific Publishing, 2025, pp. 407–440.

[21] J. S. Walia and G. Singh, “Beyond the chalkboard: exploring the dynamics of technology use in business schools,” International Journal of Quality & Reliability Management, pp. 1–28, 2025.

[22] P. Sineka, K. Jothikumar, V. Nivetha, M. Luckshika, P. Priyadharshini, and J. R. SG, “The role of metaverse technology in education: A framework for implementation and future research,” in 2024 IEEE Students Conference on Engineering and Systems (SCES). IEEE, 2024, pp. 1–6.

[23] M. Jing, Z. Guo, X. Wu, Z. Yang, and X. Wang, “Higher education digital academic leadership: Perceptions and practices from chinese university leaders,” Education Sciences, vol. 15, no. 5, p. 606, 2025.

[24] A. Felix, D. Y. Bernanda, A. S. Kembau, F. Effendy, and R. Nathaniel, “Application-based elementary schools interactive education platform analysis and design,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 6, no. 2, pp. 114–128, 2025.

[25] M. A. Gkanatsiou, S. Triantari, G. Tzartzas, T. Kotopoulos, and S. Gkanatsios, “Rewired leadership: Integrating ai-powered mediation and decision-making in higher education institutions,” Technologies, vol. 13, no. 9, p. 396, 2025.

[26] I. J. De la Pe˜na-L´opez and E. Acosta-Gonzaga, “Adoption of technology in older adults in mexico city: An approach from the technology acceptance model,” Brain Sciences, vol. 15, no. 6, p. 632, 2025.

[27] N. Azhar, W. F. Wan Ahmad, R. Ahmad, and Z. Abu Bakar, “Factors affecting the acceptance of online learning among the urban poor: A case study of malaysia,” Sustainability, vol. 13, no. 18, p. 10359, 2021.

[28] T. S. Goh, D. Jonas, B. Tjahjono, V. Agarwal, and M. Abbas, “Impact of ai on air quality monitoring systems: A structural equation modeling approach using utaut,” Sundara Advanced Research on Artificial Intelligence, vol. 1, no. 1, pp. 9–19, 2025.

[29] R. Weinhandl, M. Mayerhofer, T. Houghton, Z. Lavicza, L. M. Kleinferchner, B. Ani´c, M. Eichmair, and M. Hohenwarter, “Enhancing user-centred educational design: Developing personas of mathematics school students,” Heliyon, vol. 10, no. 2, 2024.

[30] I. P. Gustiah and H. Newell, “Enhancing human resource management efficiency through scalable blockchain networks with an adaptive ai approach,” Startupreneur Business Digital (SABDA Journal), vol. 4, no. 2, pp. 114–123, 2025.

[31] T. Mahara, L. S. Iyer, V. Matta, and S. Alagarsamy, “Effect of organizational culture during crises on adoption of virtual classrooms: An extension of utaut model,” Journal of Information Technology Case and Application Research, vol. 23, no. 3, pp. 213–239, 2021.

[32] R. Sanjeewa, R. Iyer, P. Apputhurai, N. Wickramasinghe, and D. Meyer, “Empathic conversational agent platform designs and their evaluation in the context of mental health: systematic review,” JMIR Mental Health, vol. 11, p. e58974, 2024.

[33] R. Royani, S. D. Maulina, S. Sugiyono, R. W. Anugrah, and B. Callula, “Recent developments in health-care through machine learning and artificial intelligence,” IAIC Transactions on Sustainable Digital Innovation (ITSDI), vol. 6, no. 1, pp. 86–94, 2024.

[34] M. K. Mishra and A. Upadhyaya, “Investigating factors shaping future doctors’ willingness to adopt ai diagnosis support systems,” SN Computer Science, vol. 5, no. 5, p. 533, 2024.

[35] D. Makararpong, N. Chumuang, M. Ketcham, T. Ganokratanaa, P. Pramkeaw, W. Yimyam, K. Kwan-somkid, and S. Tangwannawit, “Study link: An online learning media application for enhanced educational engagement base on design thinking,” in 2025 IEEE International Conference on Cybernetics and Innovations (ICCI). IEEE, 2025, pp. 1–7.

[36] L. A. Moennich, “Acceptance and use of artificial intelligence in healthcare: A system dynamics approach,” Ph.D. dissertation, Case Western Reserve University, 2024.

[37] 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.

[38] E. L. Richardson, J. Gordon, R. Ginnetti, R. Cochran, S. Conklin, R. Oetjen, and D. Oetjen, “Are nursing faculty future-ready? the effects of emerging technologies on nursing education,” Journal of Nursing Education, vol. 62, no. 12, pp. 689–700, 2023.

[39] M. A. Syari, U. Rahardja, T. Wellem, H. D. Purnomo, and R. Buaton, “Iot enabled smart farming system for optimizing crop management using sensors and machine learning,” in 2025 4th International Conference on Creative Communication and Innovative Technology (ICCIT). IEEE, 2025, pp. 1–7.

[40] S. Vannelli, F. Visintin, and S. Gitto, “Investigating continuance intention for telehealth visits in children’s hospitals: Survey-based study,” Journal of Medical Internet Research, vol. 27, p. e60694, 2025.

[41] S. Gheysari, M. Hasanshahi, P. Ghaemmaghami, and F. Vizeshfar, “Impact of blended teaching on academic achievement and well-being in operating room students: a semi-experimental study,” BMC nursing, vol. 23, no. 1, p. 697, 2024.

[42] N. Aromolaran, “Effective leadership strategies for the implementation of innovative technologies to improve access to health facilities,” Ph.D. dissertation, Walden University, 2025.

[43] E. W. Woodcock, “Barriers to and facilitators of automated patient self-scheduling for health care organizations: scoping review,” Journal of Medical Internet Research, vol. 24, no. 1, p. e28323, 2022.

[44] I. Yusnita, A. Kadim, R. Lesmana, A. Sutarman, C. Yu, and S. Millah, “Examining the interaction of economic business strategies in the context of global market dynamics,” Startupreneur Business Digital (SABDA Journal), vol. 4, no. 1, pp. 93–103, 2025.

[45] N. T. H. Binh, T.-Q. Dang, and L.-T. Nguyen, “Metaverse: The future for immersive logistics and international business education,” Journal of Teaching in International Business, vol. 35, no. 3-4, pp. 75–107, 2024.

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2025-04-05

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Enhancing Academic Wellbeing through Empathic Digital Attendance Systems using UTAUT Approach. (2025). Journal of Orange Technology, 1(2), 63-74. https://journal.orangetechnology.org/jot/article/view/15