Alkhatlan, A., & Kalita, J. (2019, March). Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments. <em>International Journal of Computer Applications Vol. 181 - No.43, 181</em>(43), 1-20.
Brown, J., Burton, R. R., & Zdyel, F. (1973). A model-driven question-answering sstem for mixed-initiative computer-assisted instruction. <em>IEEE Transactions on Systems, Man and Cybernetics 3</em>, 248 - 257.
Brown, J., Burton, R., & Bell, A. (1974). SOPHIE: a sophisticated instructional environment for teaching electronic troubleshooting. <em>BBN Report 2790</em>.
Carbonell, J. (1970). AI in CAI : An artificial intelligence approach to computer-assisted instruction. <em>IEEE Transactions on Man-Machine Systems, vol. 11, no. 4</em>, 190-202.
Chiu, T., Ahmad, Z., Ismailov, M., & Sanusi, I. T. (2024). What are artificial intelligence literacy and competency? A comprehensive framework to support them. <em>Computers and Education Open</em>, 1-9.
Collins, A. (1977). Processes in Acquiring Knowledge. In R. Anderson, R. Spiro, & W. Montague, <em>Schooling and the Acquisition of Knowledge.</em> Hillsdale, NJ, USA: Lawrence Erlbaum Associates.
Concordia University and Dawson College. (2021, September). <em>Artificial Intelligence Competency Framework. A success pipeline from college to university and beyond.</em> Retrieved January 15, 2025, from Dawson College: <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://www.dawsoncollege.qc.ca/ai/wp-content/uploads/sites/180/Corrected-FINAL_PIA_ConcordiaDawson_AICompetencyFramework.pdf">https://www.dawsoncollege.qc.ca/ai/wp-content/uploads/sites/180/Corrected-FINAL_PIA_ConcordiaDawson_AICompetencyFramework.pdf</ext-link>
Corbett, A. T., & Anderson, J. R. (1995). Knowledge tracing: Modeling the acquisition of procedural knowledge. <em>User Modeling and User-Adapted Interaction (4)</em>, pp. 253-278.
Dai, M., Hung, J., Tang, H., & Li, H. (2021). Knowledge Tracing: A Review of Available Techniques. <em>Journal of Educational Technology Development and Exchange, 14(2)</em>, 1-20.
Desmarais, M. C., Maluf, A., & Liu, J. (1996). User-expertise modeling with empirically derived probabilistic implication networks. <em>User Modeling and User-Adapted Interaction (5)</em>, 283 - 315.
Doignon, J.-P., & Falmagne, J.-C. (1985). Spaces for the assessment of knowledge. <em>International Journal of Man-Machine Studies (23)</em>, 175-196.
Dowling, C. E. (1994). Integrating different knowledge spaces. <em>Contributions to Mathematical Psychology, Psychometrics, and Methodology</em>, 149-158.
Falmagne, J.-C., Doignon, J.-P., Koppen, M., Vilano, M., & Johannesen, L. (1990). Introduction to Knowledge Spaces: How to Build, Test, and Search Them. <em>Psychological Review Vol 97 (2)</em>, 201 - 224.
Gioia, D., Corley, K., & Hamilton, A. (2013). Seeking Qualitative Rigor in Inductive Research. <em>Organizational Research Methods 16(1)</em>, 15-31.
Hayashi, Y., Bourdeau, J., & Mizoguchi, R. (2009). Using Ontological Engineering to Organize Learning/Instructional Theories and Build a Theory-Aware Authoring System. <em>International Journal of Artificial Intelligence in Education 19</em>, 211-252.
Jorzik, P., Yigit, A., Kanbach, D. K., Kraus, S., & Dabic’, M. (2024). Artificial Intelligence-Enabled Business Model Innovation: Competencies and Roles of Top Management. <em>IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT</em>, 7044 - 7056.
Koppen, M. (1993). Extracting human expertise for constructing knowledge spaces: An algorithm. <em>Journal of Mathematical Psychology 37 (1)</em>, 1-20.
Long Duri, M. B. (2020). What Is AI Literacy? Competencies and Design Considerations. <em>Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems</em> (pp. 1-16). Honolulu, USA: Association for Computing Machinery, NY, USA.
Massri, M. S. (2023). Towards InnoGraph: A Knowledge Graph for AI Innovation. <em>3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023).</em> (pp. 843–849). Austin TX USA: WWW 2023 Companion Proceedings.
Mizoguchi, R., & Bourdeau, J. (2000). Using ontological engineering to overcome common AIED problems. <em>International Journal of Artificial Intelligence in Education, 11 (2)</em>, 107-121.
Müller, C. E. (1989). A procedure for facilitating an expert’s judgments on a set of rules. (B. H. Springer, Ed.) <em>Mathematical Psychology in Progress. Recent Research in Psychology.</em>, 157-170.
Negură, C. (2024). An intelligent tutoring System for developing AI competency in business management professionals. <em>Proceedings of the 19th International Conference on Virtual Learning.</em> <em>19</em>, pp. 171-178. Bucharest: National Institute for Research & Development in Informatics – ICI Bucharest. doi:<ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="<a href="https://doi.org/10.58503/icvl-v19y202414" target="_blank" rel="noopener noreferrer" class="text-signal-blue hover:underline">https://doi.org/10.58503/icvl-v19y202414</a>">https://doi.org/10.58503/icvl-v19y202414</ext-link>
Negură, C. (2025). An ontology of knowledge components in the domain of Artificial Intelligence. <em>Proceedings of the 20th International Conference on Virtual Learning</em> (p. tbd). Bucharest: National Institute for Research & Development in Informatics – ICI Bucharest.
Negură, C. (2025). What Do Manager Need to Know in the Field of Artificial Intelligence ? <em>Proceedings of the INTED Conference.</em> Valencia: IATED.
Negură, C., & Ionescu, S. (2024). An Intelligent Training System for Business. <em>FAIMA Business & Management Journal, Vol.12 (3)</em>, 43-52.
Pavlik, P. J., Browner, K., Olney, A., & Mitrovic, A. (2015). A Review of Student Models Used in Intelligent Tutoring Systems (Chapter 5). In R. Sottilare, A. Graesser, X. Hu, & H. Holden, <em>Design Recommendations for Intelligent Tutoring Systems- Volume 1: Learner Modeling</em> (pp. 39 - 68). Memphis: U.S. Army Research Laboratory - Human Research and Engineering Directorate.
Peifer, Y., & Terstegen, S. (2024). Artificial Intelligence - Qualification and Competence Development Requirements for Executives. <em>5th International Conference on Industry 4.0 and Smart Manufacturing</em> (pp. 736 - 744). Procedia Computer Science 232: Elsevier B.V.
Rodrigues, M., Fernández-Macías, E., & Sostero, M. (2021/02). <em>A unified conceptual framework of tasks, skills and competences,.</em> Seville: European Commission: European Commission, Joint Research Centre (JRC). Retrieved from <ext-link ext-link-type="uri" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="https://joint-research-centre.ec.europa.eu/reports-and-technical-documentation/unified-conceptual-framework-tasks-skills-and-competences_en">https://joint-research-centre.ec.europa.eu/reports-and-technical-documentation/unified-conceptual-framework-tasks-skills-and-competences_en</ext-link>
Wenger, E. (1987). <em>Artificial Intelligence and Tutoring Systemss: Computational and Cognitive Approaches to the Communication of Knowledge.</em> Los Altos: Morgan Kaufmann Publishers Inc.
Zhang, J., Shi, X., King, I., & Yeung, D.-Y. (2017). Dynamic key-value memory networks for knowledge tracing. <em>Proceedings of the 26th international conference on world wide web</em>, (pp. 765 - 774).