Evaluating the Effectiveness of Personalized Learning Approaches in TVET Colleges
Chika Oliver Ujah12*
1Department of Mechanical and Industrial Engineering Technology, University of Johannesburg, P.O. Box 524 Johannesburg, 2006 South Africa
2 Department of Industrial Physics, Peaceland University, Enugu, Nigeria
*Correspondence: Chika Oliver Ujah, Department of Mechanical and Industrial Engineering Technology, University of Johannesburg, South Africa (Email: omega.ujah@gmail.com).
Abstract: This review examines how personalized learning strategies affect Technical and Vocational Education and Training (TVET) colleges. Personalized learning is an adaptive instructional model that tailors educational experiences to meet the unique needs of each student. It has garnered significant attention for its potential to address the varied learning profiles of TVET learners. The review carefully evaluates existing literature to pinpoint key strategies, challenges, and outcomes related to personalized learning within the TVET context. A thorough methodology is employed to analyze peer-reviewed articles, conference proceedings, and pertinent grey literature from the past decade. Key areas of focus include the impact of personalized learning on student engagement, skill development, academic success, and job readiness. Furthermore, the review investigates the technological tools and teaching frameworks that facilitate personalized learning in TVET settings, while also considering obstacles such as limited resources, teacher preparedness, and policy issues. Initial findings indicate that personalized learning methods can boost student motivation, enhance learning results, and promote career readiness among a diverse group of TVET students. Nonetheless, the evidence is still scattered, highlighting the urgent need for more research on effective and sustainable implementation strategies. The primary goal of this review is to lay the groundwork for future studies.
Keywords: Artificial intelligence; Augmented reality; Personalized learning; TVET; Virtual reality
References
Al-Msallam, S., Xi, N., & Hamari, J. (2023). Ethical Considerations in Gamified Interactive Marketing Praxis. In The Palgrave Handbook of Interactive Marketing (pp. 963-985). https://doi.org/10.1007/978-3-031-14961-0_41
Alserhan, S., & Yahaya, N. (2021). Teachers' Perspective on Personal Learning Environments via Learning Management Systems Platform [Article]. International Journal of Emerging Technologies in Learning, 16(24), 57-73. https://doi.org/10.3991/ijet.v16i24.27433
Barua, L., & Lockee, B. B. (2024). A review of strategies to incorporate flexibility in higher education course designs [Review]. Discover Education, 3(1), Article 127. https://doi.org/10.1007/s44217-024-00213-8
Bloomfield, B. S., Fox, R. A., & Leif, E. S. (2024). Multi-Tiered Systems of Educator Professional Development: A Systematic Literature Review of Responsive, Tiered Professional Development Models [Review]. Journal of Positive Behavior Interventions, 26(3), 168-188. https://doi.org/10.1177/10983007231224028
Britton, T., & Spencer, G. (2020). Do students who fail to plan, plan to fail? Effects of individualized learning plans on postsecondary transitioning [Article]. Teachers College Record, 122(5), 171-196. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85091860714&partnerID=40&md5=a3d7af2d07c79de6a035a25dfe8459e2
Brooks, C., Kizilcec, R. F., & Dowell, N. (2020). Designing Inclusive Learning Environments. L@S 2020 - Proceedings of the 7th ACM Conference on Learning @ Scale,
Campaña-Jiménez, R. L., Gallego-Arrufat, M. J., & Muñoz-Leiva, F. (2019). Teaching strategies for the acquisition of competencies in vocational training: Student profiles [Article]. Educar, 55(1), 203-229. https://doi.org/10.5565/rev/educar.876
Chiu, J. I., & Tsuei, M. (2022). Effects of Virtual Reality on School Students’ Learning in Safety Education: A Meta-analysis. Communications in Computer and Information Science,
Detyna, M., & Dommett, E. J. (2024). Addressing and resolving issues with hybrid flexible/dual mode teaching and technology in learning spaces: the 2 × n matrix model [Article]. Learning Environments Research, 27(3), 727-744. https://doi.org/10.1007/s10984-024-09498-w
Hallová, M., Polakovic, P., & Slováková, I. (2017). Current trends in training of managers in the field of information and communication technologies and identifying the barriers to education of managers [Article]. Agris On-line Papers in Economics and Informatics, 9(4), 45-52. https://doi.org/10.7160/aol.2017.090405
Indah Susanti, M. N., Heryadi, Y., Rosmansyah, Y., & Budiharto, W. (2023). Link Prediction in Educational Graph Data to Predict Elective Course using Graph Convolutional Network Model. ICCoSITE 2023 - International Conference on Computer Science, Information Technology and Engineering: Digital Transformation Strategy in Facing the VUCA and TUNA Era,
Liu, W., Wei, S., Liu, Y., & Hou, J. (2024). Cooperative partners’ heterogeneity and supplier empowerment: impact on the performance of digital technology collaborative innovation in supply chain [Article]. International Journal of Logistics Research and Applications. https://doi.org/10.1080/13675567.2024.2374260
Nigate, D. A., Mihiretie, D. M., & Kassa, S. A. (2023). Mentoring during school practicum: Mentor-mentee relationship, roles assumed, and focus of feedback [Article]. International Journal of Work-Integrated Learning, 24(4), 491-503. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85188147665&partnerID=40&md5=6b418b09cfb38866695745f43e397e17
Nobre, A., & Moura, A. (2017). Mobile learning scenarios in language teaching: Perceptions of vocational and professional education students. In Mobile Learning: Students' Perspectives, Applications and Challenges (pp. 33-60). https://www.scopus.com/inward/record.uri?eid=2-s2.0-85044417959&partnerID=40&md5=0fe56595aea9f020612a366cce5ffff7
Owston, R. (2018). Empowering learners through blended learning [Article]. International Journal on E-Learning: Corporate, Government, Healthcare, and Higher Education, 17(1), 65-83. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048956857&partnerID=40&md5=ac83851a7c3a5a5db629480bc1802072
Qazdar, A., Hasidi, O., Qassimi, S., & Abdelwahed, E. H. (2023). Newly Proposed Student Performance Indicators Based on Learning Analytics for Continuous Monitoring in Learning Management Systems [Article]. International journal of online and biomedical engineering, 19(11), 19-30. https://doi.org/10.3991/ijoe.v19i11.39471
Qu, H., Gao, F., & Jiang, Y. (2023). The Talent Cultivation System for Computer Science by integrating curriculum and industry practice through knowledge ability matrix. Proceedings of ACM Turing Award Celebration Conference, CHINA 2023,
Selane, C., & Odeku, K. O. (2024). An Analysis of How TVET is Playing a Significant Role in Fostering Students’ Skills and Competencies in South Africa [Article]. Journal of Educational and Social Research, 14(3), 293-305. https://doi.org/10.36941/jesr-2024-0074
Shemshack, A., & Spector, J. M. (2021). A comprehensive analysis of personalized learning components [Article]. Journal of Computers in Education, 8(4), 485-503. https://doi.org/10.1007/s40692-021-00188-7
Shpeizer, R. (2019). Towards a successful integration of project-based learning in higher education: Challenges, technologies and methods of implementation [Article]. Universal Journal of Educational Research, 7(8), 1765-1771. https://doi.org/10.13189/ujer.2019.070815
Smith, D. (2018). Evidencing your lifelong learning with e-Portfolio [Article]. Biochemist, 40(5), 22-24. https://doi.org/10.1042/bio04005022
Tyagi, A. K., Singh, R. K., & Tiwari, S. (2024). Artificial Intelligence Based Chatbots is Killing Creative Minds: An Effective Discussion on Modern Education. Lecture Notes in Networks and Systems,
Ujah, C. O. (2023). An integrative review of laboratory accidents among metallurgical technicians: Types, causes, effects and prevention strategies. International Journal of Home Economics, Hospitality and Allied Research, 2(2), 129-139.
Varadarajan, S., Koh, J. H. L., & Daniel, B. K. (2023). A systematic review of the opportunities and challenges of micro-credentials for multiple stakeholders: learners, employers, higher education institutions and government [Review]. International Journal of Educational Technology in Higher Education, 20(1), Article 13. https://doi.org/10.1186/s41239-023-00381-x
Vats, S., & Joshi, R. (2024). The Impact of Virtual Reality in Education: A Comprehensive Research Study. IFIP Advances in Information and Communication Technology,
Zedan, S. (2021). TVET: Labor force today, entrepreneurial leaders tomorrow [Article]. Journal of the International Council for Small Business, 2(1), 42-45. https://doi.org/10.1080/26437015.2020.1852063
Zhou, S., & Yang, S. (2024). The Advantages of Introducing Multimedia Technology into College Students’ Physical Education. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST,
Publication date:
DOI
License
Vol
Issue
Page Number
How to cite:
Ujah C.O. (2024). Evaluating the Effectiveness of Personalized Learning Approaches in TVET Colleges.International Journal of Home Economics, Hospitality and Allied Research, 3(2), 152-167. https://doi.org/10.57012/ijhhr.v3n2.011