Inteligencia artificial aplicada a la educación y la evaluación educativa en la Universidadintroducción de sistemas de tutorización inteligentes, sistemas de reconocimiento y otras tendencias futuras.

Références bibliographiques

• Ahmed, S., Khalil, M. I., Chowdhury, B., Haque, R., Senathirajah, A. R. B. S., & Din, F. M. B. O. (2022). Motivators and Barriers of Artificial Intelligent (AI) Based Teaching. Eurasian Journal of Educational Research, 2022(100), 74-89. Scopus. https://doi.org/10.14689/ejer.2022.100.006
• Aiwen, W. (2022). Research on University-Industry Cooperation of Vocational Colleges under the Background of Artificial Intelligence. 228-232. Scopus. https://doi.org/10.1109/BDEE55929.2022.00046
• Akhrif, O., Idrissi, Y. E. B. E., & Hmina, N. (2019). Service Oriented Computing and Smart University. En Lecture Notes in Intelligent Transportation and Infrastructure: Vol. Part F1405 (pp. 437-449). Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85147649456&doi=10.1007%2f978-3-030-11196-0_37&partnerID=40&md5=b8d0218bc1110f7d5402a7516f62fef2
• Al-Hakimi, A. M., Subbiah, A., Johar, M. G. B. M., & Jaharadak, A. A. B. (2023). A Review Study of an Intelligent Strategy Towards Higher Education Examination Management Structure Based on Fog Computing. 117-122. Scopus. https://doi.org/10.1109/ICSGRC57744.2023.10215412
• Aman, F., Rauf, A., Ali, R., Iqbal, F., & Khattak, A. M. (2019). A Predictive Model for Predicting Students Academic Performance. 10th International Conference on Information, Intelligence, Systems and Applications, IISA 2019. Scopus. https://doi.org/10.1109/IISA.2019.8900760
• An, L., Yue, J., Zhang, G., & Wang, Q. (2021). BITS: A Blockchain-Based Intelligent Teaching System for Smart Education. 159-162. Scopus. https://doi.org/10.1109/EIMSS53851.2021.00042
• Aoun, J. E. (2017). Robot-proof: Higher education in the age of artificial intelligence. Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0 85035781692&partnerID=40&md5=e5814f18f5e24103ad4785961c5c86dc
• Bolaño-García, M., & Duarte-Acosta, N. (2023). Una revisión sistemática del uso de la inteligencia artificial en la educación. Revista Colombiana de Cirugía. https://doi.org/10.30944/20117582.2365
• Bull, S. (2021). Jim Greer’s 25-Year Influence on a Research Programme on Open Learner Models. International Journal of Artificial Intelligence in Education, 31(3), 476-515. Scopus. https://doi.org/10.1007/s40593-020-00233-z
• Cao, J., Yang, T., Lai, I. K.-W., & Wu, J. (2021). Student acceptance of intelligent tutoring systems during COVID-19: The effect of political influence. International Journal of Electrical Engineering Education. Scopus. https://doi.org/10.1177/00207209211003270
• Chakrabarti, S., Caratozzolo, P., Norgaard, B., & Sjoer, E. (2021). Preparing Engineers for Lifelong Learning in the Era of Industry 4.0. 518-523. Scopus. https://doi.org/10.1109/WEEF/GEDC53299.2021.9657247
• Chen, H., Ma, Y., Liu, X., & Yuan, Y. (2021). Research on the Application of «AR/VR+» Traditional Cultural Education Based on Artificial Intelligence. 1673-1676. Scopus. https://doi.org/10.1109/ICISE-IE53922.2021.00370
• Chen, P., & Xiao, L. (2021). The Construction of College English Teaching Model Based on Artificial Intelligence Technology. 1687-1690. Scopus. https://doi.org/10.1109/ICISE-IE53922.2021.00373
• Chheang, V., Heng, S., Thourn, K., & Yahoui, H. (2023). A Survey of Industry in Cambodia and Future Prospects Industry 4.0. 317-320. Scopus. https://doi.org/10.1109/ECTIDAMTNCON57770.2023.10139624
• Chrysafiadi, K., Virvou, M., Tsihrintzis, G. A., & Hatzilygeroudis, I. (2023). Evaluating the user’s experience, adaptivity and learning outcomes of a fuzzy-based intelligent tutoring system for computer programming for academic students in Greece. Education and Information Technologies, 28(6), 6453-6483. Scopus. https://doi.org/10.1007/s10639-022-11444-3
• Cuéllar, M. P., & Pegalajar, M. C. (2014). Design and implementation of intelligent systems with LEGO Mindstorms for undergraduate computer engineers. Computer Applications in Engineering Education, 22(1), 153-166. Scopus. https://doi.org/10.1002/cae.20541
• Curiel-Ramírez, L. A., Bautista-Montesano, R., Galluzzi, R., Izquierdo-Reyes, J., Ramírez-Mendoza, R. A., & Bustamante-Bello, R. (2022). Smart Automotive E-Mobility—A Proposal for a New Curricula for Engineering Education. Education Sciences, 12(5). Scopus. https://doi.org/10.3390/educsci12050316
• Daniel, V., & Vera, G. (2017). Intelligent tutorial system for learning of basic and operational math. Journal of Science Education, 18(2), 84-90. Scopus.
• Do, H.-D., Tsai, K.-T., Wen, J.-M., & Huang, S. K. (2023). Hard Skill Gap between University Education and the Robotic Industry. Journal of Computer Information Systems, 63(1), 24-36. Scopus. https://doi.org/10.1080/08874417.2021.2023336
• Doran, M. V., & Clark, G. W. (2018). Enhancing robotic experiences throughout the computing curriculum. 2018-January, 368-371. Scopus. https://doi.org/10.1145/3159450.3159580
• Draskovic, D. (2019). Development of intelligent systems and application of gamification in artificial intelligent learning. 27th Telecommunications Forum, TELFOR 2019. Scopus. https://doi.org/10.1109/TELFOR48224.2019.8971360
• Draskovic, D., Cvetanovic, M., & Nikolic, B. (2018). SAIL—Software system for learning AI algorithms. Computer Applications in Engineering Education, 26(5), 1195-1216. Scopus. https://doi.org/10.1002/cae.21988
• Erdemir, M. (2019). Using web-based intelligent tutoring systems in teaching physics subjects at undergraduate level. Universal Journal of Educational Research, 7(7), 1517-1525. Scopus. https://doi.org/10.13189/ujer.2019.070705
• Eremeev, A., Ivliev, S., & Kozhukhov, A. (2020). Tool Environment for Creating Training Prototypes of Intelligent Decision Support Systems. 2020 5th International Conference on Information Technologies in Engineering Education, Inforino 2020 - Proceedings. Scopus. https://doi.org/10.1109/Inforino48376.2020.9111781
• Eremeev, A. P., & Kozhukhov, A. A. (2018). Using of the Software System for Finding Solutions on the Basis of Game-Theoretic Methods for Teaching Students in the Magistracy in the Direction «applied Mathematics and Informatics». 2018 4th International Conference on Information Technologies in Engineering Education, Inforino 2018 - Proceedings. Scopus. https://doi.org/10.1109/INFORINO.2018.8581715
• Fan, L., & Yang, W. (2021). The Construction of a Mixed University English Teaching System Based on Artificial Intelligence Technology. 1610-1613. Scopus. https://doi.org/10.1109/ICISE-IE53922.2021.00356
• Fernandes, M. A. C. (2016). Problem-based learning applied to the artificial intelligence course. Computer Applications in Engineering Education, 24(3), 388-399. Scopus. https://doi.org/10.1002/cae.21717
• Fonseca-Escudero, D., García-Peñalvo, F. J., Llorens-Largo, F., & Molona-Carmona, R. (2023). ¡Qué viene la IA! ¿Estoy preparada/o? https://doi.org/10.5281/ZENODO.10050857
• Gama, J. A. P. (2018). Intelligent educational dual architecture for university digital transformation. 2018-October. Scopus. https://doi.org/10.1109/FIE.2018.8658844
• Gama, J. A. P., Caro, R., Hernan, C., Alvarado, D. B., Gomez, C. L. C., Gomez, G. H., & Mena, A. M. (2016). Work in progress—New education model based on competencies of higher education and iMIS with architectures. 10-13-April-2016, 1065-1070. Scopus. https://doi.org/10.1109/EDUCON.2016.7474685
• García-Peñalvo, F. J., Izquierdo-Álvarez, V., Rodríguez-Conde, M. J., García-Catalán, J. F. y Manzanares-Serrano, J. R. (2020). Recomendaciones para los Estudiantes ante la Evaluación Online. Universidad de Salamanca. Salamanca, España: Grupo GRIAL. Disponible en https://bit.ly/2yWhcBY. doi:10.5281/zenodo.3874433
• García-Peñalvo, F. J. (2022). Desarrollo de estados de la cuestión robustos: Revisiones Sistemáticas de Literatura. Education in the Knowledge Society (EKS), 23. https://doi.org/10.14201/eks.28600
• Ghnemat, R., Shaout, A., & Al-Sowi, A. M. (2022). Higher Education Transformation for Artificial Intelligence Revolution: Transformation Framework. International Journal of Emerging Technologies in Learning, 17(19), 224-241. Scopus. https://doi.org/10.3991/ijet.v17i19.33309
• Gridchina, N., Savvina, N., & Zavyalov, S. (2023). Topical Issues of the Use of Artificial Intelligence Technologies in Education and Law. 8-11. Scopus. https://doi.org/10.1109/TELE58910.2023.10184378
• Hamzah, R. Y. (2020). The Response of Higher Education Institutions to Global, Regional, and National Challenges: The Transformation Plan of the University of Bahrain 2016–2021 as a Case Study. En Lecture Notes in Educational Technology (pp. 177-187). Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85085198392&doi=10.1007%2f978-981-15-4276-3_11&partnerID=40&md5=ec623b9bb9d5449add9ea44a989a2e1f
• Han, K., & Zhang, L. (2021). Exploration on the Path of Cultivating Innovative Talents under the Background of Intelligent Era. 270-274. Scopus. https://doi.org/10.1109/FoNeS-AIoT54873.2021.00062
• He, J. (2021). An Exploratory study on the application of artificial intelligence technology in the teaching of Japanese language in university. 1454-1457. Scopus. https://doi.org/10.1109/ICISE-IE53922.2021.00324
• Hernández-León, N., y Miguel-Hernández, M. (2017). Caso de buenas prácticas en la formación en TICs y fomento de la competencia digital en la sociedad, y, especialmente, en los colectivos en riesgo de exclusión digital. EDMETIC, 6(2), 47. https://doi.org/10.21071/edmetic.v6i2.6341
• Herzog, C., Leinweber, N.-A., Engelhard, S. A., & Engelhard, L. H. (2022). Autonomous Ferries and Cargo Ships: Discovering Ethical Issues via a Challenge-Based Learning Approach in Higher Education. 2022-November. Scopus. https://doi.org/10.1109/ISTAS55053.2022.10227124
• Hosny, O., Barsoum, G., Darwish, A., & Hassanien, A. E. (2022). Science Education in Egypt—Intelligent Technology in Education Development. En Lecture Notes in Educational Technology (pp. 23-41). Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85123426970&doi=10.1007%2f978-981-16-6955-2_3&partnerID=40&md5=833014d16c3445ba3490a6037d81ac1c
• Huang, X., Zou, D., Cheng, G., Chen, X., & Xie, H. (2023). Trends, Research Issues and Applications of Artificial Intelligence in Language Education. Educational Technology and Society, 26(1), 112-131. Scopus. https://doi.org/10.30191/ETS.202301_26(1).0009
• Işik, A. H., & Aslan, G. (2014). Review and proposal for intelligent distance education. En Artificial Intelligence Applications in Distance Education (pp. 95-109). Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949570918&doi=10.4018%2f978-1-4666-6276-6.ch006&partnerID=40&md5=4a008ff37c23d83e065598bd61a10d66
• Ivanov, S., & Soliman, M. (2023). Game of algorithms: ChatGPT implications for the future of tourism education and research. Journal of Tourism Futures, 9(2), 214-221. Scopus. https://doi.org/10.1108/JTF-02-2023-0038
• Jia, J., & He, Y. (2022). The design, implementation and pilot application of an intelligent online proctoring system for online exams. Interactive Technology and Smart Education, 19(1), 112-120. Scopus. https://doi.org/10.1108/ITSE-12-2020-0246
• Jingyi, Q., Hua, L., Xiu, C., & Wen, F. (2020). Explore and practice of china’s intelligent “new engineering”—Based on the grounded theory. International Journal of Information and Education Technology, 10(8), 632-640. Scopus. https://doi.org/10.18178/ijiet.2020.10.8.1436
• Kadhim, M. K., & Hassan, A. K. (2020). Towards Intelligent E-Learning Systems: A Hybrid Model for Predicatingthe Learning Continuity in Iraqi Higher Education. Webology, 17(2), 172-188. Scopus. https://doi.org/10.14704/WEB/V17I2/WEB17023
• Kamalov, F., Santandreu Calonge, D., & Gurrib, I. (2023). New Era of Artificial Intelligence in Education: Towards a Sustainable Multifaceted Revolution. Sustainability (Switzerland), 15(16). Scopus. https://doi.org/10.3390/su151612451
• Kandlhofer, M., Steinbauer, G., Hirschmugl-Gaisch, S., & Huber, P. (2016). Artificial intelligence and computer science in education: From Kindergarten to university. 2016-November. Scopus. https://doi.org/10.1109/FIE.2016.7757570
• Khan, Z. F., & Alotaibi, S. R. (2020). Design and implementation of a computerized user authentication system for e-learning. International Journal of Emerging Technologies in Learning, 15(9), 4-18. Scopus. https://doi.org/10.3991/ijet.v15i09.12387
• Kiryakova, G., & Angelova, N. (2023). ChatGPT—A Challenging Tool for the University Professors in Their Teaching Practice. Education Sciences, 13(10). Scopus. https://doi.org/10.3390/educsci13101056
• Kose, U., & Arslan, A. (2017). Optimization of self-learning in Computer Engineering courses: An intelligent software system supported by Artificial Neural Network and Vortex Optimization Algorithm. Computer Applications in Engineering Education, 25(1), 142-156. Scopus. https://doi.org/10.1002/cae.21787
• Koushik, S., & Patil, A. P. (2021). Adaptive content planning and delivery with assessment methodology using swarm intelligence on cloud computing. En Handbook of Research on Developing a Post-Pandemic Paradigm for Virtual Technologies in Higher Education (pp. 217-240). Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85128098795&doi=10.4018%2f978-1-7998-6963-4.ch011&partnerID=40&md5=89135fabc64bd71609d47e9b17eb0919
• Kuang, M., Cai, J., & Li, J. (2022). Development of artificial intelligence system for ideological and political education in colleges and universities. 235-238. Scopus. https://doi.org/10.1109/ICEKIM55072.2022.00059
• Kuo, C.-H., Nguyen, P. T.-T., & Wu, S.-L. (2023). Teaching Artificial Intelligence in Mechanical Engineering to Cultivate Cyber-physical System Talents. 2, 635. Scopus. https://doi.org/10.1145/3587103.3594193
• Lai, C., Gao, Q., Zheng, Z., Yuan, D., Zhou, B., & Hong, R. (2021). Research on Head-Up and Down Behavior Computer Detection by Deep Learning and Artificial Intelligence. 597-600. Scopus. https://doi.org/10.1109/ICCASIT53235.2021.9633455
• Leung, K.-K., Huang, W., Ho, J., Gu, J., Meng, Q., Zhang, R., Leung, K.-H., & Kwan, T. H. (2022). An Inquiry-based Genomics Intelligent Tutoring System. 25-30. Scopus. https://doi.org/10.1109/TALE54877.2022.00013
• Li, X., Ma, Z., Tu, Y., & Du, Y. S. (2021). Study on the Application of Artificial Intelligence Technology in Empowering Education Taking «Intelligent Learning Partner» as an Example. 1449-1453. Scopus. https://doi.org/10.1109/ICISE-IE53922.2021.00323
• Liguš, J., Ligušová, J., & Gazda, T. (2013). Cooperation between industry and university based on the evaluation of the industrial research results in the academic environment. 227-231. Scopus. https://doi.org/10.1109/EAEEIE.2013.6576535
• Luo, X., & Xu, Z. (2022). Research on system construction and its key technology of innovation and entrepreneurship education open sharing resource and cooperative education based on the cloud services. 1-5. Scopus. https://doi.org/10.1109/ICEKIM55072.2022.00008
• Ma, J. (2021). Intelligent Decision System of Higher Educational Resource Data Under Artificial Intelligence Technology. International Journal of Emerging Technologies in Learning, 16(5), 130-146. Scopus. https://doi.org/10.3991/ijet.v16i05.20305
• Ma, N., & Yang, J. (2021). The Application of Artificial Intelligence to Security Management at the Context of Higher Education in China. 159-163. Scopus. https://doi.org/10.1109/CIPAE53742.2021.00046
• Matoušek, P., Ryšavý, O., & Burgetová, I. (2019). Extending networking curriculum with applied artificial intelligence. 29th Annual Conference of the European Association for Education in Electrical and Information Engineering, EAEEIE 2019 - Proceedings. Scopus. https://doi.org/10.1109/EAEEIE46886.2019.9000455
• Mehdipour, F., Pashna, M., & Mahanti, A. (2018). A 3-Tier Solution for Facilitating STEM Education in Primary Schools. 1-5. Scopus. https://doi.org/10.1109/LaTICE.2018.00-15
• Michel-Villarreal, R., Vilalta-Perdomo, E., Salinas-Navarro, D. E., Thierry-Aguilera, R., & Gerardou, F. S. (2023). Challenges and Opportunities of Generative AI for Higher Education as Explained by ChatGPT. Education Sciences, 13(9). Scopus. https://doi.org/10.3390/educsci13090856
• Min, L., Xie, H., Gu, X., & Hu, X. (2021). Research and Discussion on Key Technologies of Lightweight Smart Campus Based on LAPP. 191-194. Scopus. https://doi.org/10.1109/IEIT53597.2021.00048
• Moreno-Ger, P., & Burgos, D. (2021). Machine Learning and Student Activity to Predict Academic Grades in Online Settings in Latam. En Lecture Notes in Educational Technology (pp. 243-257). Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111661492&doi=10.1007%2f978-981-16-3941-8_13&partnerID=40&md5=3f3bf50613f2f8c7b949b0445baacdf0
• Munawar, S., Toor, S. K., Aslam, M., & Hamid, M. (2018). Move to smart learning environment: Exploratory research of challenges in computer laboratory and design intelligent virtual laboratory for eLearning technology. Eurasia Journal of Mathematics, Science and Technology Education, 14(5), 1645-1662. Scopus. https://doi.org/10.29333/ejmste/85036
• Nelekar, S., Abdulrahman, A., Gupta, M., & Richards, D. (2022). Effectiveness of embodied conversational agents for managing academic stress at an Indian University (ARU) during COVID-19. British Journal of Educational Technology, 53(3), 491-511. Scopus. https://doi.org/10.1111/bjet.13174
• Ni, L., Huang, Q., Ye, J., Hu, B., Zhang, N., Chang, X., & Su, Z. (2022). Vocational Education Development Model Based on Intelligent Management System. 76-79. Scopus. https://doi.org/10.1109/ICEIT54416.2022.9690746
• Nieto-Martín, S., & Rodríguez-Conde, M. J. (Eds.). (2009). Investigación y evaluación educativa en la sociedad del conocimiento. Ediciones Universidad Salamanca.
• Nikonova, E., Yakhyaeva, K., Pivkina, N., & Schetinina, A. (2023). Using Artificial Intelligence Tools in Teaching a Foreign Language in Higher Technical Institutions. European Journal of Contemporary Education, 12(2), 578-589. Scopus. https://doi.org/10.13187/ejced.2023.2.578
• Olmos-Migueláñez, S., y Rodríguez-Conde, M. J. (2012). Perspectiva tecnológica de la evaluación educativa en la Universidad. Teoría de la Educación. Revista Interuniversitaria, 23(1), 131-157. https://doi.org/10.14201/8581
• Pérez Gama, J. A., Vega Vega, A., & Neira Aponte, M. (2018). University digital transformation intelligent architecture: A dual model, methods and applications. 2018-July. Scopus. https://doi.org/10.18687/LACCEI2018.1.1.274
• Pérez Gama, J. A., Vega Vega, A., Perez Gutierrez, B. A., & Franco Rubio, J. P. (2017). Intelligent higher education model based on competences and architectures for the Colombian post-conflict ,m. 2017-July. Scopus. https://doi.org/10.18687/LACCEI2017.1.1.117
• Pillay, N., Maharaj, B. T., & Eeden, G. V. (2018). AI in engineering and computer science education in preparation for the 4th industrial revolution: A South African perspective. 2018 World Engineering Education Forum - Global Engineering Deans Council, WEEF-GEDC 2018. Scopus. https://doi.org/10.1109/WEEF-GEDC.2018.8629703
• Pino-Varela, J. (2022). Validación del Modelo de Aceptación Tecnológica (TAM) para medir la competencia digital en estudiantes de Educación Primaria. EDMETIC, Revista de Educación Mediática y TIC, 11(1), art.6. https://doi.org/10.21071/edmetic.v11i1.13508
• Pinto, C., Nicola, S., Mendonça, J., & Velichová, D. (2019). Best teaching practices in the first year of the pilot implementation of the project DrIVE-MATH. 38, 154-166. Scopus. https://doi.org/10.1093/teamat/hrz004
• Ren, Q., & Weng, W. (2019). Research on the Training Method of Accounting Professionals in the Era of Artificial Intelligence. 298-300. Scopus. https://doi.org/10.1109/CSEI47661.2019.8938947
• Subashini, P., Krishnaveni, M., Dhivyaprabha, T. T., Preethi, B., Hayar, A., Elhanafi, M. E., Joundi, M., & Kheddioui, E. (2019). Personalized elearning open platform for alphabetization awareness in rural areas of Morocco. 22-29. Scopus. https://doi.org/10.1109/ISC246665.2019.9071720
• Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial Intelligence in Education: AIEd for Personalised Learning Pathways. Electronic Journal of e-Learning, 20(5), 639-653. Scopus. https://doi.org/10.34190/ejel.20.5.2597
• Verdejo, Á., Espinilla, M., López, J. L., & Jurado, F. (2022). Assessment of sustainable development objectives in Smart Labs: Technology and sustainability at the service of society. Sustainable Cities and Society, 77. Scopus. https://doi.org/10.1016/j.scs.2021.103559
• Villegas-Ch, W., Palacios-Pacheco, X., & Lujan-Mora, S. (2019). Artificial intelligence as a support technique for university learning. EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings. Scopus. https://doi.org/10.1109/EDUNINE.2019.8875833
• Wang, G. (2023). Research on risk evaluation method of dynamic training of ideological and political education based on machine learning. 190-193. Scopus. https://doi.org/10.1109/BDICN58493.2023.00047
• Wang, S., Wang, H., Jiang, Y., Li, P., & Yang, W. (2021). Understanding students’ participation of intelligent teaching: An empirical study considering artificial intelligence usefulness, interactive reward, satisfaction, university support and enjoyment. Interactive Learning Environments. Scopus. https://doi.org/10.1080/10494820.2021.2012813
• Wang, X. (2022). Influences of Learning Emotion on Learning Outcome in Online Teaching Mode. International Journal of Emerging Technologies in Learning, 17(8), 126-139. Scopus. https://doi.org/10.3991/ijet.v17i08.30459
• Weragama, D., & Reye, J. (2014). Analysing student programs in the PHP intelligent tutoring system. International Journal of Artificial Intelligence in Education, 24(2), 162-188. Scopus. https://doi.org/10.1007/s40593-014-0014-z
• Wu, J. (2022). Quality Evaluation Model of Artificial Intelligence General Education Online Course Based on AI Algorithm. 129-133. Scopus. https://doi.org/10.1109/ICENIT57306.2022.00035
• Xie, T. (2021). Research on the Development of University Innovation and Entrepreneurship Education under the Background of Big Data. 35-38. Scopus. https://doi.org/10.1109/ICBDIE52740.2021.00016
• Xu, M., Liu, D., & Zhang, Y. (2022). Design of Interactive Teaching System of Physical Training Based on Artificial Intelligence. Journal of Information and Knowledge Management, 21. Scopus. https://doi.org/10.1142/S0219649222400214
• Yang, C., Huan, S., & Yang, Y. (2020). A practical teaching mode for colleges supported by artificial intelligence. International Journal of Emerging Technologies in Learning, 15(17), 195-206. Scopus. https://doi.org/10.3991/ijet.v15i17.16737
• Yang, Q.-F., Lian, L.-W., & Zhao, J.-H. (2023). Developing a gamified artificial intelligence educational robot to promote learning effectiveness and behavior in laboratory safety courses for undergraduate students. International Journal of Educational Technology in Higher Education, 20(1). Scopus. https://doi.org/10.1186/s41239-023-00391-9
• Yigit, T., Koyun, A., Yuksel, A. S., Cankaya, I. A., & Kose, U. (2014). An example application of an artificial intelligence-supported blended learning education program in computer engineering. En Artificial Intelligence Applications in Distance Education (pp. 192-210). Scopus. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84949599416&doi=10.4018%2f978-1-4666-6276-6.ch012&partnerID=40&md5=06f05bb8f5c238c8e929475d8db3eba2
• Yin, N. (2021). The Reform and Development of Physical Education in Colleges and Universities in the Era of Artificial Intelligence. 1441-1444. Scopus. https://doi.org/10.1109/ICISE-IE53922.2021.00321
• Zhang, Y., Wu, Y., Zheng, M., Lin, X., & Zhang, Y. (2019). He Innovative Education of «Smart Finance» under the Promotion of Educational Informationization. BESC 2019 - 6th International Conference on Behavioral, Economic and Socio-Cultural Computing, Proceedings. Scopus. https://doi.org/10.1109/BESC48373.2019.8963551
• Zhao, Y. (2021). Application Research on the cultivation and construction of artificial intelligence innovation and entrepreneurship ability in the era of educational informatization 2.0. 316-320. Scopus. https://doi.org/10.1109/ITEI55021.2021.00079
• Zhu, W., Marquez, A., & Yoo, J. (2015). “Engineering Economics Jeopardy!” Mobile App for University Students. Engineering Economist, 60(4), 291-306. Scopus. https://doi.org/10.1080/0013791X.2015.1067343