Từ nhận thức sự thông minh đến hành vi chấp nhận: Mô hình Nhận thức - Cảm xúc - Hành vi trong việc chấp nhận công cụ trí tuệ nhân tạo của sinh viên đại học

Abdelazim, A., Al Breiki, M., & Khlaif, Z. N. (2025). AI in education: The mediating role of perceived trust in adoption decisions of school leaders. Education and Information Technologies, 30(15), 20943-20975.

Abuadas, M., & Albikawi, Z. (2026). AI ethical awareness and academic integrity in higher education: Development and validation of a new scale. Ethics & Behavior, 36(2), 125-142.

Aldraiweesh, A. A., & Alturki, U. (2025). The influence of social support theory on AI acceptance: Examining educational support and perceived usefulness using SEM analysis. IEEE Access, 13, 18366-18385.

Almogren, A. S. (2025). Creating a novel approach to examine how King Saud University’s Arts College students utilize AI programs. IEEE Access, 13, 63895-63917

Almogren, A. S., Al-Rahmi, W. M., & Dahri, N. A. (2024). Exploring factors influencing the acceptance of ChatGPT in higher education: A smart education perspective. Heliyon, 10(11), e31887.

Al-Okaily, M. (2024). Implementation of generative AI tools in accounting education context. Journal of Applied Research in Higher Education. Advance online publication. . https://doi.org/10.1108/JARHE-08-2024-0422

Alshammari, S. H., & Babu, E. (2025). The mediating role of satisfaction in the relationship between perceived usefulness, perceived ease of use and students’ behavioural intention to use ChatGPT. Scientific Reports, 15(1), Article 7169.

Alshamy, A., Al-Harthi, A. S. A., & Abdullah, S. (2025). Perceptions of generative AI tools in higher education: Insights from students and academics at Sultan Qaboos University. Education Sciences, 15(4), Article 501.

Aluko, H. A., Aluko, A., Offiah, G. A., Ogunjimi, F., Aluko, A. O., Alalade, F. M., Ukeje, I. O., & Nwani, C. H. (2026). Exploring the effectiveness of AI-generated learning materials in facilitating active learning strategies and knowledge retention in higher education. International Journal of Organizational Analysis, 34(4), 1243-1267.

Amir, S., Luk, S. C. Y., Saha, S., Tsyrulneva, I., & Teo, M. T. L. (2025). Measuring social trust in AI: How institutions shape the usage intention of AI-based technologies. Human Behavior and Emerging Technologies, 2025, Article 4084384.

Atadika, D., Anim, A. N., & Segbenya, M. (2024). Antecedents of artificial intelligence and learners demographic characteristics in higher education: Implication for human resource managers. Current Psychology, 43(40), 31542-31558.

Baca, G., & Zhushi, G. (2025). Assessing attitudes and impact of AI integration in higher education. Higher Education, Skills and Work-Based Learning, 15(2), 369-383.

Balaskas, S., Tsiantos, V., Chatzifotiou, S., & Rigou, M. (2025). Determinants of ChatGPT adoption intention in higher education: Expanding on TAM with the mediating roles of trust and risk. Information, 16(2), Article 82.

Cerović, L., Malnar, A., & Sinčić, D. (2024). Energy literacy of economics students in Rijeka: Knowledge, attitudes, and behavioral approach. Energies, 17(8), Article 1840.

Chen, C.-F., & Girish, V. G. (2023). Investigating the use experience of restaurant service robots: The cognitive–affective–behavioral framework. International Journal of Hospitality Management, 111, Article 103482.

Chen, X., Jiang, L., Zhou, Z., & Li, D. (2025). Impact of perceived ease of use and perceived usefulness of humanoid robots on students’ intention to use. Acta Psychologica, 258, Article 105217.

Choi, S., Jang, Y., & Kim, H. (2022). Influence of pedagogical beliefs and perceived trust on teachers’ acceptance of educational artificial intelligence tools. International Journal of Human–Computer Interaction, 39(4), 910-922.

Chiu, M.-L. (2025). Exploring user awareness and perceived usefulness of generative AI in higher education: The moderating role of trust. Education and Information Technologies, 30(15), 21317–21351.

Córdova, P., Grájeda, A., Córdova, J. P., Vargas-Sánchez, A., Burgos, J., & Sanjinés, A. (2024). Leveraging AI tools in finance education: Exploring student perceptions, emotional reactions and educator experiences. Cogent Education, 11(1), Article 2431885.

Iqbal, J., Hashmi, Z. F., Asghar, M. Z., & Abid, M. N. (2025). Generative AI tool use enhances academic achievement in sustainable education through shared metacognition and cognitive offloading among preservice teachers. Scientific Reports, 15(1), Article 16610.

Gökçearslan, Ş., Esiyok, E., & Kucukergin, K. G. (2025). Understanding the intention to use artificial intelligence chatbots in education: The role of individual innovativeness and AI trust among university students. Journal of Computational Social Science, 8(3), Article 71. https://doi.org/10.1007/s42001-025-00387-7

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24.

Jeilani, A., & Abubakar, S. (2025). Perceived institutional support and its effects on student perceptions of AI learning in higher education: The role of mediating perceived learning outcomes and moderating technology self-efficacy. Frontiers in Education, 10, Article 1548900.

Kim, J., Klopfer, M., Grohs, J. R., Eldardiry, H., Weichert, J., Cox II, L. A., & Pike, D. (2025). Examining faculty and student perceptions of generative AI in university courses. Innovative Higher Education, 50(4), 1281-1313.

Köhler, C., & Hartig, J. (2024). ChatGPT in higher education: Measurement instruments to assess student knowledge, usage, and attitude. Contemporary Educational Technology, 16(4), Article ep528.

Li, K. C., Chong, G. H. L., Wong, B. T. M., & Wu, M. M. F. (2025a). A TAM-based analysis of Hong Kong undergraduate students’ attitudes toward generative AI in higher education and employment. Education Sciences, 15(7), Article 798.

Li, W. (2025). A study on factors influencing designers’ behavioral intention in using AI-generated content for assisted design: Perceived anxiety, perceived risk, and UTAUT. International Journal of Human-Computer Interaction, 41(2), 1064-1077.

Li, Y., Wang, C., & Murat, S. (2025b). How AI brand endorsers influence Generation MZ’s consumer behavior in Metaverse marketing scenarios. Sustainability, 17(4), Article 1378.

Liu, Y., & Li, H. (2025). Metaverse-enhanced ideological and political education: A case of emergency management course in adult higher education. Sustainability, 17, Article 1472.

Low, M. P., Wut, T. M., & Pok, W. F. (2025). Artificial intelligence facilitators in higher education institutions: A student-centric exploration with comparative analysis in Asian countries. Education and Information Technologies, 30(10), 18485-18511.

Maheshwari, G. (2024). Factors influencing students’ intention to adopt and use ChatGPT in higher education: A study in the Vietnamese context. Education and Information Technologies, 29(10), 12167-12195.

Nguyen, D. K., & Nguyen, Q. H. (2024). Phát triển ứng dụng trí tuệ nhân tạo (AI) trong giáo dục đại học tại Việt Nam: Cơ hội, thách thức và giải pháp [Developing artificial intelligence (AI) applications in higher education in Vietnam: Opportunities, challenges, and solutions]. Tạp chí Thiết bị giáo dục, (316), 1-5.

Nguyen, N. T. (2025). Ảnh hưởng của các đặc điểm trí tuệ nhân tạo (AI) đối với nhận thức hiệu quả học tập của sinh viên đại học [The impact of artificial intelligence (AI) characteristics on university students’ perceived learning effectiveness]. Tạp chí Khoa học Đại học Mở Thành phố Hồ Chí Minh, 20(1), 474-489.

Pham, L., Klaus, T., & Bateh, J. (2025). Key factors influencing intention to use ChatGPT: An empirical study of U.S. students. Acta Psychologica, 260, Article 105516.

Salih, L., Tarhini, A., & Acikgoz, F. (2025). AI-enabled service continuance: Roles of trust and privacy risk. Journal of Computer Information Systems, 1-16.

Schei, O. M., Møgelvang, A., & Ludvigsen, K. (2024). Perceptions and use of AI chatbots among students in higher education: A scoping review of empirical studies. Education Sciences, 14(8), Article 922

Segbenya, M., Senyametor, F., Aheto, S. P. K., Agormedah, E. K., Nkrumah, K., & Kaedebi-Donkor, R. (2024). Modelling the influence of antecedents of artificial intelligence on academic productivity in higher education: A mixed method approach. Cogent Education, 11(1), Article 2387943.

Shmueli, G., Ray, S., Velasquez, O. L., & Chatterjee, S. (2019). The power of PLS path modeling for generalization in prediction and causality prediction. The American Statistician, 73(sup1), 69-81.

Singh, S., & Paiva, J. (2025). The role of AI characteristics and their influence on higher education students’ continuance intention to use GenAI tools. Information Discovery and Delivery. Advance online publication. https://doi.org/10.1108/IDD-03-2025-0060

Saoula, O., Shamim, A., Suki, N. M., Ahmad, M. J., Abid, M. F., Patwary, A. K., & Abbasi, A. Z. (2023). Building e-trust and e-retention in online shopping: The role of website design, reliability and perceived ease of use. Spanish Journal of Marketing, 27(2), 178-201.

Syed, A. Z., Memon, Z. H., Khan, K., Hameed, I., & Nadeem, M. (2025). Examining the behavioral determinants of AI adoption in higher education: A focus on perceptional factors and demographic differences. On the Horizon: The International Journal of Learning Futures, 33(2), 245-264.

Vuković, M., & Pivac, S. (2024). The impact of behavioral factors on investment decisions and investment performance in the Croatian stock market. Managerial Finance, 50(2), 349-366.

Vázquez-Parra, J. C., Henao-Rodríguez, C., Lis-Gutiérrez, J. P., Palomino-Gámez, S., & Suárez-Brito, P. (2024). Perception of AI tool adoption and training: Initial validation using GSEM method. Applied Computing and Informatics. Advance online publication. https://doi.org/10.1108/ACI-09-2024-0370

Wang, J. (2025). Students’ continuance intention to use generative AI in higher education: Integrating the technology acceptance model and information success model. In Proceedings of the 2025 3rd International Conference on Educational Knowledge and Informatization (EKI 2025) (pp. 115-124). Association for Computing Machinery.

Yakubu, M. N., David, N., & Abubakar, N. H. (2025). Students’ behavioural intention to use content generative AI for learning and research: A UTAUT theoretical perspective. Education and Information Technologies, 30(11), 17969-17994.

Yusoff, S. M., Marzaini, A. F. M., Hao, L., Zainuddin, Z., & Basal, M. H. (2025). Understanding the role of AI in Malaysian higher education curricula: An analysis of student perceptions. Discover Computing, 28(1), Article 62.

Zhang, C., Hu, M., Wu, W., Kamran, F., & Wang, X. (2024). Unpacking perceived risks and AI trust influences pre-service teachers’ AI acceptance: A structural equation modeling-based multi-group analysis. Education and Information Technologies, 30(2), 2645-2672.

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