• editor@ijmra.in
  • ISSN[Online] : 2643-9875  ||  ISSN[Print] : 2643-9840

Volume 07 Issue 01 January 2024

A Bibliometrics Analysis for Artificial Intelligence Implementation of Employment in Education Institutions
1Dicka Widya Purnama, 2Candra Bagus Ainur Rochman, 3Rafli Darmawan, 4Putri Amaliyah, 5Achmad Dzikrul Baqi, 6Archam Zahidin
1,2,3,4,5,6Universitas Negeri Surabaya
DOI : https://doi.org/10.47191/ijmra/v7-i01-02

Google Scholar Download Pdf
ABSTRACT:

Artificial Intelligence (AI) represents the capacity of computers to emulate human intelligence, raising concerns about its potential impact on the role of educators. As students progressively rely on AI for task completion, there is a perceived threat to the traditional role of educators. To address this challenge, this paper advocates for the adoption of the Role Play Model and Project-Based Learning methods in education. These approaches are inherently human-centric and cannot be replicated by AI, ensuring that students continue to require the guidance and expertise of educators. Utilizing bibliometric analysis with data from Scopus spanning the years 1985 to 2023, this paper delves into the evolution of AI in education. It emphasizes the importance of active interaction and guidance from educators in helping the educational sector adapt to the AI era, thereby enabling students to remain competitive in an increasingly AI-driven world. It underscores the essential role educator’s play in cultivating deep understanding and skills in students, which AI cannot completely substitute. In summary, educators must recognize their pivotal role in shaping students' education in an AI-dominated landscape.

KEYWORDS:

artificial intelligence, lecturers, education, schools, colleges.

REFERENCES
1) F. Ye and A. G. Bors, “Dynamic Self-Supervised Teacher-Student Network Learning,” IEEE Trans. Pattern Anal. Mach. Intell., pp. 1–19, 2022, doi: 10.1109/TPAMI.2022.3220928.

2) O. B. Deho, S. Joksimovic, J. Li, C. Zhan, J. Liu, and L. Liu, “Should Learning Analytics Models Include Sensitive Attributes? Explaining the Why,” IEEE Trans. Learning Technol., pp. 1–13, 2022, doi: 10.1109/TLT.2022.3226474.

3) S. Fu, H. Gu, and B. Yang, “The affordances of AI‐enabled automatic scoring applications on learners’ continuous learning intention: An empirical study in China,” Br J Educ Technol, vol. 51, no. 5, pp. 1674–1692, Sep. 2020, doi: 10.1111/bjet.12995.

4) S. Kar, A. K. Kar, and M. P. Gupta, “Industrial Internet of Things and Emerging Digital Technologies–Modeling Professionals’ Learning Behavior,” IEEE Access, vol. 9, pp. 30017–30034, 2021, doi: 10.1109/ACCESS.2021.3059407.

5) H. O. Khogali and S. Mekid, “The blended future of automation and AI: Examining some long-term societal and ethical impact features,” Technology in Society, vol. 73, p. 102232, May 2023, doi: 10.1016/j.techsoc.2023.102232.

6) C. Yang, S. Huan, and Y. Yang, “A Practical Teaching Mode for Colleges Supported by Artificial Intelligence,” Int. J. Emerg. Technol. Learn., vol. 15, no. 17, p. 195, Sep. 2020, doi: 10.3991/ijet.v15i17.16737.

7) J. J. Roessingh, G. Poppinga, J. Van Oijen, and A. Toubman, “Application of Artificial Intelligence to Adaptive Instruction - Combining the Concepts,” in Adaptive Instructional Systems, vol. 11597, R. A. Sottilare and J. Schwarz, Eds., Cham: Springer International Publishing, 2019, pp. 542–556. Accessed: Jul. 31, 2023. [Online]. Available: https://link.springer.com/10.1007/978-3-030-22341-0_43

8) J. Lau, J. L. Bonilla, and A. Gárate, “Artificial Intelligence and Labor: Media and Information Competencies Opportunities for Higher Education,” in Information Literacy in Everyday Life, vol. 989, S. Kurbanoğlu, S. Špiranec, Y. Ünal, J. Boustany, M. L. Huotari, E. Grassian, D. Mizrachi, and L. Roy, Eds., Cham: Springer International Publishing, 2019, pp. 619–628. Accessed: Jul. 31, 2023. [Online]. Available: http://link.springer.com/10.1007/978-3-030-13472-3_58

9) G. I. G. Brandes, G. D’Ippolito, A. G. Azzolini, and G. Meirelles, “Impact of artificial intelligence on the choice of radiology as a specialty by medical students from the city of São Paulo,” Radiol Bras, vol. 53, no. 3, pp. 167–170, Jun. 2020, doi: 10.1590/0100-3984.2019.0101.

10) I. Lopez-Gazpio, “Gaining Student Engagement Through Project-Based Learning: A Competitive 2D Game Construction Case Study,” IEEE Access, vol. 10, pp. 1881–1892, 2022, doi: 10.1109/ACCESS.2021.3139764.

11) X. Wang, L. Li, S. C. Tan, L. Yang, and J. Lei, “Preparing for AI-enhanced education: Conceptualizing and empirically examining teachers’ AI readiness,” Computers in Human Behavior, vol. 146, p. 107798, Sep. 2023, doi: 10.1016/j.chb.2023.107798.

12) A. Vankevich and I. Kalinouskaya, “Ensuring sustainable growth based on the artificial intelligence analysis and forecast of in-demand skills,” E3S Web Conf., vol. 208, p. 03060, 2020, doi: 10.1051/e3sconf/202020803060.

13) H. Zhang and Z. Zheng, “Application and Analysis of Artificial Intelligence in College Students’ Career Planning and Employment and Entrepreneurship Information Recommendation,” Security and Communication Networks, vol. 2022, pp. 1–8, Sep. 2022, doi: 10.1155/2022/8073232.

14) A. Ara Shaikh, A. Kumar, K. Jani, S. Mitra, D. A. García-Tadeo, and A. Devarajan, “The Role of Machine Learning and Artificial Intelligence for making a Digital Classroom and its sustainable Impact on Education during Covid-19,” Materials Today: Proceedings, vol. 56, pp. 3211–3215, 2022, doi: 10.1016/j.matpr.2021.09.368.

15) P. Budhwar et al., “Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT,” Human Res Mgmt Journal, vol. 33, no. 3, pp. 606–659, Jul. 2023, doi: 10.1111/1748- 8583.12524.

16) Y. Zhang, F. Xiong, Y. Xie, X. Fan, and H. Gu, “The Impact of Artificial Intelligence and Blockchain on the Accounting Profession,” IEEE Access, vol. 8, pp. 110461–110477, 2020, doi: 10.1109/ACCESS.2020.3000505.

17) F. Collado-Mesa, E. Alvarez, and K. Arheart, “The Role of Artificial Intelligence in Diagnostic Radiology: A Survey at a Single Radiology Residency Training Program,” Journal of the American College of Radiology, vol. 15, no. 12, pp. 1753– 1757, Dec. 2018, doi: 10.1016/j.jacr.2017.12.021.

18) J. G and C. S. G, “Online Subjective answer verifying system Using Artificial Intelligence,” in 2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC), Palladam, India: IEEE, Oct. 2020, pp. 1023– 1027. doi: 10.1109/I-SMAC49090.2020.9243601.

19) C. A. Guerrero-Velástegui, S. Peñaherrera-Zambrano, L. Ballesteros-López, and S. López-Pérez, “Artificial Intelligence and Replacement of Human Talent: Case Study of Higher Education in Times of Pandemic,” in Proceedings of Fourth International Conference on Communication, Computing and Electronics Systems, vol. 977, V. Bindhu, J. M. R. S. Tavares, and C. Vuppalapati, Eds., Singapore: Springer Nature Singapore, 2023, pp. 891–901. Accessed: Jul. 31, 2023. [Online]. Available: https://link.springer.com/10.1007/978-981-19-7753-4_68

20) Q. Wang, X. Liu, and K.-W. Huang, “Displaced or Augmented? How does Artificial Intelligence Affect Our Jobs: Evidence from LinkedIn”.

21) L. Wang, “Artificial Intelligence and Career Development of College Teachers: Challenge and Countermeasures,” J. Phys.: Conf. Ser., vol. 1550, no. 2, p. 022030, May 2020, doi: 10.1088/1742-6596/1550/2/022030.

22) B. A. Braiki, S. Harous, N. Zaki, and F. Alnajjar, “Artificial intelligence in education and assessment methods,” Bulletin EEI, vol. 9, no. 5, pp. 1998–2007, Oct. 2020, doi: 10.11591/eei.v9i5.1984.

23) S. Castagno and M. Khalifa, “Perceptions of Artificial Intelligence Among Healthcare Staff: A Qualitative Survey Study,” Front. Artif. Intell., vol. 3, p. 578983, Oct. 2020, doi: 10.3389/frai.2020.578983.

24) C. Tucker, K. Jackson, and J. J. Park, “Exploring the Future of Engineering Education: Perspectives from a Workshop on Artificial Intelligence and the Future of STEM and Societies,” in 2020 ASEE Virtual Annual Conference Content Access Proceedings, Virtual On line: ASEE Conferences, Jun. 2020, p. 34648. doi: 10.18260/1-2--34648.

25) W. Lloyd, “Can ASEAN Expand Vocational Training to Help Workers Survive Automation and AI?”.

26) G. Zhou, G. Chu, L. Li, and L. Meng, “The effect of artificial intelligence on China’s labor market,” China Economic Journal, vol. 13, no. 1, pp. 24–41, Jan. 2020, doi: 10.1080/17538963.2019.1681201.

27) M. Huang and H. Xia, “The Application of Artificial Intelligence Wireless Network in Music Contextual Teaching under the New Media Art Perspective,” Wireless Communications and Mobile Computing, vol. 2022, pp. 1–9, Jun. 2022, doi: 10.1155/2022/2811398.

28) P. Matousek, O. Rysavy, and I. Burgetova, “Extending Networking Curriculum with Applied Artificial Intelligence,” in 2019 29th Annual Conference of the European Association for Education in Electrical and Information Engineering (EAEEIE), Ruse, Bulgaria: IEEE, Sep. 2019, pp. 1–6. doi: 10.1109/EAEEIE46886.2019.9000455.

29) R. H. Hassan, M. T. Hassan, S. Naseer, Z. Khan, and M. Jeon, “ICT Enabled TVET Education: A Systematic Literature Review,” IEEE Access, vol. 9, pp. 81624–81650, 2021, doi: 10.1109/ACCESS.2021.3085910.

30) K.-S. Choi, “Opportunities for Higher Education of Artificial Intelligence in Korea,” International Journal of Engineering Research and Technology, vol. 13, no. 11, p. 3428, Nov. 2020, doi: 10.37624/IJERT/13.11.2020.3428-3430.
Volume 07 Issue 01 January 2024

There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.


Our Services and Policies

Authors should prepare their manuscripts according to the instructions given in the authors' guidelines. Manuscripts which do not conform to the format and style of the Journal may be returned to the authors for revision or rejected.

The Journal reserves the right to make any further formal changes and language corrections necessary in a manuscript accepted for publication so that it conforms to the formatting requirements of the Journal.

International Journal of Multidisciplinary Research and Analysis will publish 12 monthly online issues per year,IJMRA publishes articles as soon as the final copy-edited version is approved. IJMRA publishes articles and review papers of all subjects area.

Open access is a mechanism by which research outputs are distributed online, Hybrid open access journals, contain a mixture of open access articles and closed access articles.

International Journal of Multidisciplinary Research and Analysis initiate a call for research paper for Volume 07 Issue 05 (May 2024).

PUBLICATION DATES:
1) Last Date of Submission : 26 May 2024 .
2) Article published within a week.
3) Submit Article : editor@ijmra.in or Online

Why with us

International Journal of Multidisciplinary Research and Analysis is better then other journals because:-
1 : IJMRA only accepts original and high quality research and technical papers.
2 : Paper will publish immediately in current issue after registration.
3 : Authors can download their full papers at any time with digital certificate.

The Editors reserve the right to reject papers without sending them out for review.

Authors should prepare their manuscripts according to the instructions given in the authors' guidelines. Manuscripts which do not conform to the format and style of the Journal may be returned to the authors for revision or rejected. The Journal reserves the right to make any further formal changes and language corrections necessary in a manuscript accepted for publication so that it conforms to the formatting requirements of the Journal.

Indexed In
Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar Avatar