Abstract
The development of cognitive technologies and the formation of competences become an integral part of success in the conditions of a rapidly changing world. This document presents a bibliometric analysis of cognitive technologies and competencies. The dataset was retrieved from the Scopus database, analyzed and presented using VOSviewer. The search equation identified 281 studies. After analysis and application of filters, 60 studies were selected for further analysis. Among the journals that publish research on this topic, the most productive is Ceur Workshop Proceedings (5%). The most cited authors are González-González and Jiménez-Zarco. Authors from Indonesia, Spain and China published the most articles. The top 5 thematic categories include Computer Science; Social Sciences; Engineering; Business, Management and Accounting; Energy. The most cited article is Birjali, M., Beni-Hssane, A., Erritali, M. Research on cognitive technologies and the development of competencies open broad perspectives for improving learning, professional development, and personal growth.
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References
Adinda, D.: A competency-based approach to support e-learning during the COVID-19 situation. In: Proceedings of The European Conference On E-Learning, ECEL, pp. 1–9 (2021). https://doi.org/10.34190/EEL.21.043
Al-Sharidah, M.: The effectiveness of a training program via e-learning platforms in develo** the technological competencies of pre-service teachers. J. Educ. Soc. Res. 12, 131–142 (2022). https://doi.org/10.36941/jesr-2022-0128
Albano, G., Ferrari, P.: Linguistic competence and mathematics learning: the tools of e-learning. J. E-Learn. Knowl. Soc. 9, 27–41 (2013). https://doi.org/10.20368/1971-8829/832
Angelis, L., Bohlouli, M., Hatzistavrou, K., Kakarontzas, G., Lopez, J., Zenkert, J.: The COMALAT approach to individualized e-learning in job-specific language competences. In: Linnhoff-Popien, C., Schneider, R., Zaddach, M. (eds.) Digital Marketplaces Unleashed, pp. 137–148. Springer, Heidelberg (2018). https://doi.org/10.1007/978-3-662-49275-8_16
Astafieva, M., Zhyltsov, O., Proshkin, V., Lytvyn, O.: E-learning as a mean of forming students- mathematical competence in a research-oriented educational process. In: CTE Workshop Proceedings, vol. 7, pp. 674–689 (2020). https://doi.org/10.55056/cte.421
Basantes-Andrade, A., Cabezas-González, M., Casillas-Martín, S.: Digital competences in e-learning. case study: Ecuador. In: Advances in Intelligent Systems and Computing AISC, vol. 1110, pp. 85–94 (2020). https://doi.org/10.1007/978-3-030-37221-78
Batko, R., Szopa, A.: Strategic Imperatives and Core Competencies in the Era of Robotics and Artificial Intelligence. Strategic Imperatives and Core Competencies In The Era Of Robotics and Artificial Intelligence, pp. 1–302 (2016). https://doi.org/10.4018/978-1-5225-1656-9
Birjali, M., Beni-Hssane, A., Erritali, M.: A novel adaptive e-learning model based on big data by using competence-based knowledge and social learner activities. Appl. Soft Comput. J. 69, 14–32 (2018). https://doi.org/10.1016/j.asoc.2018.04.030
Burkhard, M., Seufert, S., Guggemos, J.: Paradigm shift in human-machine interaction: a new learning framework for required competencies in the age of artificial intelligence? In: International Conference On Computer Supported Education, CSEDU - Proceedings, vol. 2, pp. 294–302 (2021). https://doi.org/10.5220/0010473302940302
Cao, C., Zhang, Z.: Machine learning-assisted competency modeling for human resource management jobs. Mob. Inf. Syst 2022 (2022). https://doi.org/10.1155/2022
Çalışkan, S., Demir, K., Karaca, O.: Artificial intelligence in medical education curriculum: an e-Delphi study for competencies. PLoS ONE 17, e0271872 (2022). https://doi.org/10.1371/journal.pone.0271872
Chao, P., Hsu, T., Liu, T., Cheng, Y.: Knowledge of and competence in artificial intelligence: perspectives of Vietnamese digital-native students. IEEE Access. 9, 75751–75760 (2021). https://doi.org/10.1109/ACCESS.2021.3081749
Chirila, C.: A dialog based game component for a competencies based e-learning framework. In: SACI 2013–8th IEEE International Symposium on Applied Computational Intelligence and Informatics, Proceedings, pp. 55–60 (2013). https://doi.org/10.1109/SACI.2013.6609025
D’Aniello, G., Della Piana, B., Gaeta, M.: A situation-aware e-learning system to support intercultural competence development. In: CEUR Workshop Proceedings, vol. 3124, pp. 204–208 (2022)
Gaol, P.: Implementation of performance management in artificial intelligence system to improve Indonesian human resources competencies. In: IOP Conference Series: Earth And Environmental Science, vol. 717 (2021). https://doi.org/10.1088/1755-1315
Garad, A., Al-Ansi, A., Qamari, I.: The role of e-learning infrastructure and cognitive competence in distance learning effectiveness during the COVID-19 pandemic. Cakrawala Pendidikan. 40, 81–91 (2021). https://doi.org/10.21831/cp.v40i1.33474
González-González, I., Gallardo-Gallardo, E., Jiménez-Zarco, A.: Using films to develop the critical thinking competence of the students at the Open University of Catalonia (UOC): testing an audiovisual case methodology in a distance e-learning environment. Comput. Hum. Behav. 30, 739–744 (2014). https://doi.org/10.1016/j.chb.2013.09.013
González-González, I., Jiménez-Zarco, A.: Using an audiovisual case methodology to develop critical thinking competence in distance E-learning environment: The open university of catalonia (UOC) experience. E-Learning 2.0 Technologies And Web Applications In Higher Education. pp. 171–187 (2015). https://doi.org/10.4018/978-1-4666-4876-0.ch009
Gutierrez, S., Perez, S., Munguia, M.: Artificial intelligence in e-learning plausible scenarios in Latin America and new graduation competencies. Revista Iberoamericana De Tecnologias Del Aprendizaje. 17, 31–40 (2022). https://doi.org/10.1109/RITA.2022.3149833
Heba, A., Kapounová, J., Smyrnova-Trybulska, E.: Theoretical conception and some practical results of the development of mathematical competences with use of e-learning. Int. J. Continuing Eng. Educ. Life-Long Learn.. 24, 252–268 (2014). https://doi.org/10.1504/IJCEELL.2014.063098
Hsu, W., Li, C.: A competency-based guided-learning algorithm applied on adaptively guiding e-learning. Interact. Learn. Environ. 23, 106–125 (2015). https://doi.org/10.1080/10494820.2012.745432
Huang, X.: Aims for cultivating students’ key competencies based on artificial intelligence education in China. Educ. Inf. Technol. 26(5), 5127–5147 (2021). https://doi.org/10.1007/s10639-021-10530-2
Kassymova, G., et al.: Cognitive competence based on the e-learning. Int. J. Adv. Sci. Technol. 28, 167–177 (2019)
Keržič, D., Aristovnik, A., Tomaževič, N., Umek, L.: Evaluating the impact of e-learning on students‘ perception of acquired competencies in an university blended learning environment. J. E-Learn. Knowl. Soc. 14, 65–76 (2018). https://doi.org/10.20368/1971-8829
Khan, W., Nisar, Q., Sohail, S., Shehzadi, S.: The role of digital innovation in e-learning system for higher education during COVID 19: a new insight from pedagogical digital competence. innovative education technologies for 21st century teaching and learning, pp. 75–100 (2021). https://doi.org/10.1201/9781003143796-6
Lau, J., Bonilla, J., Gárate, A.: Artificial intelligence and labor: media and information competencies opportunities for higher education. Commun. Comput. Inf. Sci. 989, 619–628 (2019). https://doi.org/10.1007/978-3-030-13472-358
Lestari, N., Rosman, D., Putranto, T.: The relationship between robot, artificial intelligence, and service automation (RAISA) awareness, career competency, and perceived career opportunities: Hospitality student perspective. In: Proceedings of 2021 International Conference On Information Management And Technology, ICIMTech 2021, pp. 690–695 (2021). https://doi.org/10.1109/ICIMTech53080.2021.9535054
Long, J., Lin, J.: An empirical study on cultivating college students’ cross-cultural communicative competence based on the artificial-intelligence English-teaching mode. Frontiers Psychol. 13, 976310 (2022). https://doi.org/10.3389/fpsyg.2022.976310
López, J., Mar Eva Alemany Díaz, M., Vivas, D.: The integration of transversal competences in higher education in engineering through e-learning tools. The case of the ETSII at the UPV. In: CEUR Workshop Proceedings, vol. 3129 (2022)
Margienė, A., Ramanauskaitė, S., Nugaras, J., Stefanovič, P., Čenys, A.: Competency-based e-learning systems: automated integration of user competency portfolio. Sustainability (Switzerland), 14, 16544 (2022). https://doi.org/10.3390/su142416544
Misthou, S., Paliouras, A.: Teaching artificial intelligence in K-12 education: competences and interventions. In: Auer, M.E., Tsiatsos, T. (eds.) IMCL 2021. LNNS, vol. 411, pp. 887–896. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-96296-8_80
Mujiono, M., Herawati, S.: The effectiveness of e-learning-based sociolinguistic instruction on EFL university students’ sociolinguistic competence. Int. J. Instr. 14, 627–642 (2021). https://doi.org/10.29333/iji.2021.14436a
Palacios-Marqués, D., Cortés-Grao, R., Lobato Carral, C.: Outstanding knowledge competences and web 2.0 practices for develo** successful e-learning project management. Int. J. Proj. Manag. 31, 14–21 (2013). https://doi.org/10.1016/j.ijproman.2012.08.002
Parkes, M., Reading, C., Stein, S.: The competencies required for effective performance in a university e-learning environment. Australas. J. Educ. Technol. 29, 771–791 (2013). https://doi.org/10.14742/ajet.38
Permana, A., Pradnyana, G.: Recommendation systems for internship place using artificial intelligence based on competence. J. Phys. Conf. Ser. 1165, 012007 (2019). https://doi.org/10.1088/1742-6596
Rivera-Kempis, C., Valera, L., Sastre-Castillo, M.: Entrepreneurial competence: using machine learning to classify entrepreneurs. Sustainability (Switzerland). 13, 8252 (2021). https://doi.org/10.3390/su13158252
Sarangarajan, S., Kavi Chitra, C., Shivakumar, S.: Automation of competency: training management using machine learning models. In: 2021 Grace Hopper Celebration India, GHCI 2021 (2021). https://doi.org/10.1109/GHCI50508.2021.9513995
Sharma, U., Manchanda, N.: Predicting and improving entrepreneurial competency in university students using machine learning algorithms. In: Proceedings of the Confluence 2020–10th International Conference on Cloud Computing, Data Science and Engineering, pp. 305–309 (2020). https://doi.org/10.1109/Confluence47617.2020.9058292
Thomas, O., Adeyanju, J., Popoola, B., Odewale, T.: Competency training needs of lecturers for effective e-learning instructional delivery in teacher education programs in south-west. Niger. J Negro Educ. 89, 136–145 (2020)
Wu, J.: Construction of primary and secondary school teachers’ competency model based on improved machine learning algorithm. Math. Probl. Eng. 2022 (2022). https://doi.org/10.1155/2022/6439092
Zhao, X., Guo, Z., Liu, S.: Exploring key competencies and professional development of music teachers in primary schools in the era of artificial intelligence. Sci. Program. 2021, 1–9 (2021). https://doi.org/10.1155/2021/5097003
Zulfiya, K., Gulmira, B., Altynbek, S., Assel, O.: A model and a method for assessing students’ competencies in e-learning system. In: ACM International Conference Proceeding Series (2019). https://doi.org/10.1145/3368691.3372391
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Ivanova, T. (2023). Cognitive Technologies and Competence Development: Bibliometric Analysis. In: Antoniou, G., et al. Information and Communication Technologies in Education, Research, and Industrial Applications. ICTERI 2023. Communications in Computer and Information Science, vol 1980. Springer, Cham. https://doi.org/10.1007/978-3-031-48325-7_24
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