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International Journal of Academic Research in Progressive Education and Development

Open Access Journal

ISSN: 2226-6348

IT Talent Transformation for Vocational Students: The Dilemma of Screening or Entrance Test?

Nurbaya Mohd Rosli, Mohd Effendi @ Ewan Mohd Matore, Hazrati Husnin

http://dx.doi.org/10.6007/IJARPED/v13-i4/24379

Open access

In an era where digital competencies are increasingly pivotal, the need for robust screening tests that accurately assess programming and computational skills has become paramount. This concept paper explores the global landscape of screening tests, with a particular focus on their application in identifying potential IT talent. It begins by reviewing diverse international implementation for screening tests, analyzing their strengths, limitations, and cultural adaptability. The paper then narrows its focus to the Malaysian context, where the rapidly growing tech industry necessitates a localized approach to talent assessment. Drawing on global best practices, this paper discussed the impact of screening test for Malaysia that aligns with the country’s educational objectives and industry needs. By integrating international insights with local nuances, this screening test aims to enhance the efficacy of vocational college admissions, ensuring that Malaysia is well-positioned to cultivate future IT professionals who can compete on a global stage. The discussion of this research supports the idea that the brainstorm and invention not only address the technical competencies required for IT careers but also considers broader educational and societal factors. This will make it a comprehensive tool for identifying and nurturing Malaysia's next generation of tech talent. Further research should be done to investigate the potential of using screening tests with different style of test rather than applying conventional test.

Ayu Pramita, D. N., & Sardjono, W. (2024). The Role and Benefits of Innovative Technology in Using The Internet of Things (IOT) Towards Industrial Revolution 4.0. Dinasti International Journal of Education Management And Social Science, 5(5), 1177–1183. https://doi.org/10.38035/dijemss.v5i5.2788
Balas-Timar, D., & Ignat, S. (2015). Conceptual Applicant Screening Model with Fuzzy Logic in Industrial Organizational Contexts. Procedia - Social and Behavioral Sciences, 203, 257–263. https://doi.org/10.1016/j.sbspro.2015.08.291
Bhaw, N., & Kriek, J. (2024). Using the Intended Curriculum’s Prescribed Assessment Criteria to Measure Curriculum Assessment Alignment. UnisaRxiv.
Bichi, A. A., Talib, R., Atan, N. A., Ibrahim, H., & Yusof, S. M. (2019). Validation of a developed university placement test using classical test theory and Rasch measurement approach. International Journal of Advanced and Applied Sciences, 6(6), 22–29. https://doi.org/10.21833/ijaas.2019.06.004
Bloem, M. D., Pan, W., & Smith, J. (2021). College entrance exam-taking strategies in Georgia. Southern Economic Journal, 88(2), 587–627. https://doi.org/10.1002/soej.12526
Büth, L., Bhakar, V., Sihag, N., Posselt, G., Böhme, S., Sangwan, K. S., & Herrmann, C. (2017). Bridging the Qualification Gap between Academia and Industry in India. Procedia Manufacturing, 9, 275–282. https://doi.org/10.1016/j.promfg.2017.04.009
Buzzetto-more, N. A., & Alade, A. J. (2019). Journal of Information Technology Education: Research. Journal of Information Technology Education: Research, 19, 1–5.
Caines, J., & Engelhard, G. (2012). How good is good enough? educational standard setting and its effect on African American test takers. Journal of Negro Education, 81(3), 228–240. https://doi.org/10.7709/jnegroeducation.81.3.0228
Chik, Z., Abdullah, A. H., Mohd Noor, A. Z., & Ismail, M. S. (2024). Impact of Industrial Revolution 4.0 (IR4.0) Knowledge, Application Learning, University Policy, Commitment to Study and Motivation on Assimilate IR4.0 in Education. Journal of Economics, Finance And Management Studies, 07(07), 3884–3889. https://doi.org/10.47191/jefms/v7-i7-06
Denysova, A. (2020). Special Course “Monitoring the Quality of Education in the Context of Interaction With Stakeholders” As a Condition for Training Competent Professionals of Vocational Education. Educational Discourse: Collection of Scientific Papers, 22(22(4)), 30–43. https://doi.org/10.33930/ed.2019.5007.22(4)-3
Eduardo, A., Souza, R. De, Mackenzie, U. P., Paulo, S., Maria, S., & Stump, D. (2013). A Model for Recommending Specialization Courses Based on the Professional Profile of Candidates. c, 155–159.
Fahmy, S., Deraman, A., Puteh, M., Nasir, A., Roslina, W., & Haslinda, N. (2022). An Analysis of Digital Talent in Academic Publications: Reflection on Malaysia’s Digital Transformation Strategies. International Journal of Integrated Engineering, 14(3), 184–192. https://doi.org/10.30880/ijie.2022.14.03.020
Furtado, M. (2023). Importance of Entrance Testing in Prediction of Academic Difficulty in the First Semester of a Graduate Doctor of Physical Therapy Program. Journal of Allied Health, 52(2), E31–E37.
Goldhaber, D., Grout, C., & Huntington-Klein, N. (2014). Screen Twice, Cut Once: Assessing the Predictive Validity of Teacher Selection Tools (Issue January).
Huang, Y. Y., Menozzi, M., & Favey, C. (2019). A screening tool for occupations requiring a high level of attentional performance. International Journal of Industrial Ergonomics, 72(April), 86–92. https://doi.org/10.1016/j.ergon.2019.04.005
Kang, Y. (2024). Enhancing Computational and Data Science Thinking Skills for K-12 Education. Lecture Notes in Education Psychology and Public Media, 43(1), 20–25. https://doi.org/10.54254/2753-7048/43/20240609
Laar, E. Van. (2019). What are E-ssential skills?? A multimethod approach to 21st-century digital skills within the creative industries. University of Twente, The Netherlands.
Malonisio, M. O., & Malonisio, C. C. (2023). Validation of the teacher education institution’s entrance test using the Rasch model. International Journal of Innovative Research and Scientific Studies, 6(3), 644–655. https://doi.org/10.53894/ijirss.v6i3.1726
Martínez-Bravo, M. C., Chalezquer, C. S., & Serrano-Puche, J. (2022). Dimensions of Digital Literacy in the 21st Century Competency Frameworks. In Sustainability (Switzerland) (Vol. 14, Issue 3). https://doi.org/10.3390/su14031867
Merchant, N., & Hart, J. D. (2023). Screening Methods for Classification Based on Non-parametric Bayesian Tests. January, 1–27.
Ngo, F., Velasquez, D., & Melguizo, T. (2021). Faculty Perspectives on Using High School Data in an Era of Placement Testing Reform. Community College Review, 49(3), 290–313. https://doi.org/10.1177/00915521211002896
Ockey, G. J., Vo, S., & Baghestani, S. (2020). Establishing Appropriate Cut Scores of a Standardized Test for a Local Placement Context. TESOL Quarterly, 0(0), 1–24. https://doi.org/10.1002/tesq.3007
Ramachandaran, S. D., Vasudevan, A., Sagadavan, R., John, S., & Onn, T. Y. (2024). The determinants of talent retention in the information technology services sector in Malaysia. International Journal of Management and Sustainability, 13(2), 283–298. https://doi.org/10.18488/11.v13i2.3656
Sievertsen, H. H. (2023). Assessments in Education. Oxford Research Encyclopedia of Economics and Finance, July, 1–44. https://doi.org/10.1093/acrefore/9780190625979.013.846
Silva, P. L., Nunes, L. C., Seabra, C., Balcao Reis, A., & Alves, M. (2020). Student selection and performance in higher education: admission exams vs. high school scores. Education Economics, 28(5), 437–454. https://doi.org/10.1080/09645292.2020.1782846
Stewart-Wells, A. G., & Keenan, K. M. (2020). Assessing Doctoral Students: A Background on Comprehensive and Authentic Assessments. Journal of Continuing Higher Education, 68(2), 84–100. https://doi.org/10.1080/07377363.2020.1743950
Torralba, W. M. R., Savio, M. T., Huang, X., Manchanda, P., Steiger, M., Bharucha, T., López, M. M., Joyner, K. J., & Guevara, R. L. (2024). The cognitive adaptability and resiliency employment screener (CARES): tool development and testing (Frontiers in Psychiatry, (2023), 14, (1254147), 10.3389/fpsyt.2023.1254147). Frontiers in Psychiatry, 15(July), 1–6. https://doi.org/10.3389/fpsyt.2024.1430017
Van BAO, N., & Cho, Y. (2022). How the High-Stakes and College Entrance Exam Affects Students’ Perception: Implication on Management Policy in Higher Education *1. East Asian Journal of Business Economics, 10(1), 83–94. https://doi.org/10.20498/eajbe.2022.10.1.83
Wei, M. (2020). Educational equity: A comparative study of college entrance exam between China and the US from the perspective of media. Cogent Education, 7(1). https://doi.org/10.1080/2331186X.2020.1826620
Zlatkin-Troitschanskaia, O., Kühling-Thees, C., Gordon, J., Reichert-Schlax, J., Happ, R., & Pant, H.-A. (2022). Improving study admission through entry diagnostics using a validated subject-specific test. Assessment & Evaluation in Higher Education, 47(8), 1274–1288. https://doi.org/10.1080/02602938.2022.2040001
Zwick, R. (2007). College Admission Testing. In College Admission Testing (Issue February, pp. 1–44). National Association for College Admission Counseling.
Zwick, R. (2019). Assessment in American Higher Education: The Role of Admissions Tests. Annals of the American Academy of Political and Social Science, 683(1), 130–148. https://doi.org/10.1177/0002716219843469

Rosli, N. M., Matore, M. E. @ E. M., & Husnin, H. (2024). IT Talent Transformation for Vocational Students: The Dilemma of Screening or Entrance Test? International Journal of Academic Research in Progressive Education and Development, 13(4), 3748–3756.