Skip to main content

Cognitive Technologies and Competence Development: Bibliometric Analysis

  • Conference paper
  • First Online:
Information and Communication Technologies in Education, Research, and Industrial Applications (ICTERI 2023)

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. 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

  2. Al-Sharidah, M.: The effectiveness of a training program via e-learning platforms in developing the technological competencies of pre-service teachers. J. Educ. Soc. Res. 12, 131–142 (2022). https://doi.org/10.36941/jesr-2022-0128

    Article  Google Scholar 

  3. 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

    Article  Google Scholar 

  4. 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

    Chapter  Google Scholar 

  5. 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

  6. 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

  7. 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

  8. 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

    Article  Google Scholar 

  9. 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

  10. 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

  11. 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

    Article  Google Scholar 

  12. 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

    Article  Google Scholar 

  13. 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

  14. 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)

    Google Scholar 

  15. 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

  16. 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

    Article  Google Scholar 

  17. 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

    Article  Google Scholar 

  18. 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

  19. 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

    Article  Google Scholar 

  20. 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

    Article  Google Scholar 

  21. 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

    Article  Google Scholar 

  22. 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

    Article  Google Scholar 

  23. Kassymova, G., et al.: Cognitive competence based on the e-learning. Int. J. Adv. Sci. Technol. 28, 167–177 (2019)

    Google Scholar 

  24. 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

    Article  Google Scholar 

  25. 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

  26. 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

    Article  Google Scholar 

  27. 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

  28. 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

    Article  Google Scholar 

  29. 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)

    Google Scholar 

  30. 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

  31. 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

    Chapter  Google Scholar 

  32. 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

    Article  Google Scholar 

  33. Palacios-Marqués, D., Cortés-Grao, R., Lobato Carral, C.: Outstanding knowledge competences and web 2.0 practices for developing successful e-learning project management. Int. J. Proj. Manag. 31, 14–21 (2013). https://doi.org/10.1016/j.ijproman.2012.08.002

  34. 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

    Article  Google Scholar 

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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)

    Google Scholar 

  40. 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

  41. 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

    Article  Google Scholar 

  42. 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

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tetiana Ivanova .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-48325-7_24

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48324-0

  • Online ISBN: 978-3-031-48325-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics