Skip to main content
Have a personal or library account? Click to login
Implicit Policies toward Genai in Educational Assessment: Identifying Acceptance Profiles Using Fuzzy C-Means Cover

Implicit Policies toward Genai in Educational Assessment: Identifying Acceptance Profiles Using Fuzzy C-Means

Open Access
|Jul 2026

References

  1. Chinnasamy, G., & Ahmed Hussein, A. M. (2025). Evaluating the integration and impact of artificial intelligence (AI) tools on academic learning, assessment, and research practices in higher education. Education and Information Technologies, 30(18), 25655-25682.
  2. Colareza, C., Bocoș, M.-D., Rad, D., Ivan, S., Paraschiv, R.-V., Neacșu, M.-G., Triff, Z., Maier, M., Rus, M., Băiceanu, C.-M., Bădoi-Hammami, M., & Lăcătuș, R. (2026). Cognitive Education and Innovative Assessment in Primary School: Aligning Inclusion, Learning Progressions, and Romania’s OECD–PISA Challenges. Social Sciences, 15(1), 24. https://doi.org/10.3390/socsci15010024
  3. Cuc, L. D., Rad, D., Cilan, T. F., Gomoi, B. C., Nicolaescu, C., Almași, R., ... & Pandelica, I. (2025). From AI Knowledge to AI Usage Intention in the Managerial Accounting Profession and the Role of Personality Traits—A Decision Tree Regression Approach. Electronics, 14(6), 1107.
  4. Cuc, L. D., Rad, D., Săplăcan, S., Șendroiu, C., Bâtcă-Dumitru, G. C., Wysocki, D., ... & Manolescu, A. A. (2024). A hierarchical clustering analysis of the management accounting practices perceptions in Romania. International Journal of Computers Communications & Control, 19(6), 864. https://doi.org/10.15837/ijccc.2024.6.6864
  5. Furze, L., Perkins, M., Roe, J., & MacVaugh, J. (2024). The AI Assessment Scale (AIAS) in action: A pilot implementation of GenAI-supported assessment. Australasian Journal of Educational Technology, 40(4), 38-55.
  6. Khlaif, Z. N., Ayyoub, A., Hamamra, B., Bensalem, E., Mitwally, M. A., Ayyoub, A., ... & Shadid, F. (2024). University teachers’ views on the adoption and integration of generative AI tools for student assessment in higher education. Education Sciences, 14(10), 1090.
  7. Lodge, J. M., Yang, S., Furze, L., & Dawson, P. (2023). It’s not like a calculator, so what is the relationship between learners and generative artificial intelligence?. Learning: Research and Practice, 9(2), 117-124.
  8. Pelau, C., Ciofu, I., & Kondort, G. (2025). Consumer Behavior in the Era of Artificial Intelligence. In Marketing Theory and Practice in Romania: Model for the Developing World (pp. 101-115). Cham: Springer Nature Switzerland.
  9. Pelau, C., Dabija, D. C., & Ene, I. (2021). What makes an AI device human-like? The role of interaction quality, empathy and perceived psychological anthropomorphic characteristics in the acceptance of artificial intelligence in the service industry. Computers in Human Behavior, 122, 106855.
  10. Pelau, C., Dabija, D. C., & Stanescu, M. (2024). Can I trust my AI friend? The role of emotions, feelings of friendship and trust for consumers’ information-sharing behavior toward AI. Oeconomia Copernicana, 15(2), 407-433.
  11. Pelau, C., Pop, M. I., Ene, I., & Lazar, L. (2021). Clusters of skeptical consumers based on technology and AI acceptance, perception of social media information and celebrity trend setter. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1231-1247.
  12. Perkins, M., Furze, L., Roe, J., & MacVaugh, J. (2024). The Artificial Intelligence Assessment Scale (AIAS): A framework for ethical integration of generative AI in educational assessment. Journal of University Teaching and Learning Practice, 21(6), 49-66.
  13. Rad, D., Costache-Colareza, C., Paraschiv, R.-V., & Gavrila-Ardelean, L. (2025). Synthetic Emotions and the Illusion of Measurement: A Conceptual Review and Critique of Measurement Paradigms in Affective Science. Brain Sciences, 15(9), 909. https://doi.org/10.3390/brainsci15090909
  14. Rad, D., Cuc, L. D., Lile, R., Balas, V. E., Barna, C., Pantea, M. F., ... & Rad, G. (2022). A cognitive systems engineering approach using unsupervised fuzzy C-means technique, exploratory factor analysis and network analysis—A preliminary statistical investigation of the bean counter profiling scale robustness. International Journal of Environmental Research and Public Health, 19(19), 12821.
  15. Rad, D., Roman, A., Egerău, A., Ignat, S., Balaș, E., Dughi, T., Bocoș, M., Mara, D., Mara, E.-L., Costin, A., Marcu, R., Colareza, C. C., Coman, C., & Rad, G. (2026). Empowered or Constrained? Digital Agency, Ethical Implications, and Students’ Intentions to Use Artificial Intelligence. Behavioral Sciences, 16(2), 222. https://doi.org/10.3390/bs16020222
  16. Runcan, R., Runcan, P. L., Rad, D., & Marina, L. (2026). Exploring Students’ Attitudes Toward the Integration of Artificial Intelligence in Education. Societies, 16(1), 21. https://doi.org/10.3390/soc16010021
  17. Semwaiko, G. S., Chao, W. H., & Yang, C. Y. (2024). Transforming K-12 education: A systematic review of AI integration. International Journal of Educational Technology and Learning, 17(2), 43-63.
  18. Shwedeh, F. (2024). The integration of Artificial Intelligence (AI) into decision support systems within higher education institutions. Nanotechnology Perceptions, 20(5), 331-357.
  19. Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021(1), 8812542.
  20. Zhou, C. (2023). Integration of modern technologies in higher education on the example of artificial intelligence use. Education and Information Technologies, 28(4), 3893-3910.
Language: English
Page range: 3790 - 3804
Published on: Jul 22, 2026
Published by: Bucharest University of Economic Studies
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2026 Rareș STOIAN, Camelia Daciana STOIAN, Cristian MĂDUȚĂ, published by Bucharest University of Economic Studies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.