ISSN: 2222-6990
Open access
Lecturers need to have high skills in the process of imparting knowledge and must be proficient in using the latest technology, so that the teaching and learning process can be carried out effectively and efficiently in line with Education 4.0 era. The term Teacher 4.0 was created to describe the characteristics of these educators. However, lecturer’s required level of skill and competency is still questionable. Studies and instruments to measure Teacher 4.0 competency level are still limited. Thus, the aim of this study is to develop a new instrument named Teach4Comp, that can measure the level of competitiveness of Teacher 4.0 among lecturers. The instrument was developed based on adaptation of constructs from DigCompEdu model and Digital Literacy model. A questionnaire was administered to 60 Pre-University lecturers from Selangor. All items have been analyzed using the Rasch measurement model. The data were analyzed to identify that items were functional according to the aspect of items fit in measuring constructs, items polarity, unidimensionality, item functionality differences (DIF) and the reliability and separation of item and respondent. The instrument reliability showed good result with Cronbach Alpha of 0.97. All the pscyhomteric results have confirmed that the Teach4Comp is valid and reliable. This research can contribute as a solution for a comprehensive teacher 4.0 competency measurement tool in Higher Education Institutions.
Abdelrazeq, A., Janssen, D., Tummel, C., Richert, A. & Jeschke, S. (2016). Teacher 4.0: Requirements Of The Teacher Of The Future In Context Of The Fourth Industrial Revolution. Iceri2016 Proceedings, 1(October 2018), 8221–8226.
Abumalloh, R. A., Asadi, S., Nilashi, M., Minaei-Bidgoli, B., Nayer, F. K., Samad, S., Mohd, S. & Ibrahim, O. (2021). The Impact Of Coronavirus Pandemic (Covid-19) On Education: The Role Of Virtual And Remote Laboratories In Education. Technology In Society, 67,101728.
Andrich, D. Rasch Models for Measurement. Quantitative Applications in the Social Sciences; Sage Publications:Thousand Oaks, CA, USA, 1988.
Azrilah, A. A., Mohd Saidfudin, M. & Zaharim, A. (2015). Asas Model Pengukuran Rasch: Pembentukan Skala & Struktur Pengukuran. Bangi: Universiti Kebangsaan Malaysia (UKM).
Birch, E. & Wolf, M. De. (2020). A Novel Approach To Medical School Examinations During The Covid-19 Pandemic Pandemic Abstract. Medical Education Online, 25(1), 20–22.
Bizami, N. A., Tasir, Z., & Kew, S. N. (2023). Innovative pedagogical principles and technological
tools capabilities for immersive blended learning: a systematic literature
review. Education and Information Technologies, 28(2), 1373-1425
Bond, T. G., & Fox, C. M. (2007). Applying The Rasch Model:Fundamental Measurement In The Human Sciences. New Jersey: Routledge.
Bond, T. G., & Fox, C. M. (2015). Applying The Rasch Model, Fundamental Measurement In The Human Sciences (3rd Ed.). Newyork, Ny: Routledge.
Cao, W. (2023). A meta-analysis of effects of blended learning on performance, attitude, achievement, and engagement across different countries. Frontiers in Psychology, 14.
Denisova E., Ermakov P., Skirtach I. & Korkhova V. 2020. Subjective Discomfort And Personality Traits Of University Teachers During The Covid-19 Pandemic. E3s Web Of Conferences.
Din, R. (2015). Forward from the Chief Editor,”Journal of Personalized Learning, 1(1), 1-3. http://spaj.ukm.my/jplearning/index.php/jplearning/article/view/27
Din, R. (2016). Notes from the Chief Editor: On Designing Personalized Learning, Journal of Personalized Learning, 2(1), 1-3.
http://spaj.ukm.my/jplearning/index.php/jplearning/article/view/108
Fisher, J. W. P. (2006). Survey Design Recommendations. Rasch Measurement Transactions, 20(3), 1072-1074.
Fisher J. W. P. (2007). Rating Scale Instrument Quality Criteria. Rasch Measurement Transactions 21(1): 1095.
Ginja, T. G., & Chen, X. (2020). Teacher educators’ perspectives and experiences towards differentiated instruction. International Journal of Instruction, 13(4), 781–798. https://doi.org/10.29333/iji.2020.13448a
Hovde, M. R., & Renguette, C. C. (2017). Technological Literacy: A Framework For Teaching Technical Communication Software Tools. Technical Communication Quarterly, 26(4), 395–411.
Ismail, S. A. A., & Jarrah, A. M. (2019). Exploring Pre-Service Teachers’ Perceptions Of Their Pedagogical Preferences, Teaching Competence And Motivation. International Journal Of Instruction, 12(1), 493–510.
Kamal A., Shaipullah N., Truna L., Sabri M. & Junaini S. N. (2020). Transitioning To Online Learning During Covid-19 Pandemic: Case Study Of A Pre-University Centre In Malaysia. (Ijacsa) International Journal Of Advanced Computer Science And Applications, Vol. 11, No. 6.
Masdoki, M., Din, R. & Effendi Ewan Mohd Matore, M. (2021). Teaching 4.0 Competency In Higher Learning Institutions: A Systematic Mapping Review. International Journal Of Learning, Teaching And Educational Research, 20(10), 217–231.
Mokhtar, M. A., & Noordin, N. (2019). An Exploratory Study Of Industry 4 . 0 In Malaysia?: A Case Study Of Higher Education Institution In Malaysia. 16(2), 978–987.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd Ed.). New York: Mcgraw Hill.
Peredrienko, T., Oxana, B. & Yaroslavova, E. (2020). New Language Learning Environment: Employers’ - Learners’ Expectations And The Role Of Teacher 4.0. International Journal Of Instruction, 13. 105-118.
Redecker, C. (2017). European Framework For The Digital Competence Of Educators: Digcompedu (No. Jrc107466). Joint Research Centre (Seville Site).
Selvanathan M., Hussin N. & Azazi N. 2020. Students Learning Experiences During Covid-19: Work From Home Period In Malaysian Higher Learning Institutions. Teaching Public Administration Pp.1–10
Vlachopoulos, D. (2020). COVID-19: Threat or opportunity for online education? Higher Learning Research Communication, 10(1), 16–19.
Vlachopoulos, D., Sangrà, A., & Cabrera, N. (2012). The conceptual framework of e-learning: A view from inside. The International Journal of Learning: Annual Review, 18(4), 93–104.
Wu, M. & Adams, R. (2007). Applying The Rasch Model To Psycho-Social Measurement: A Practical Approach. Melbourne: Educational Measurement Solutions.
Yu, T., Dai, J., & Wang, C. (2023). Adoption of blended learning: Chinese university students’
perspectives. Humanities and Social Sciences Communications, 10(1), 1-16.
(Masdoki & Din, 2023)
Masdoki, M., & Din, R. (2023). Psychometric Assessment of Teacher 4.0 Competencies (Teach4comp) among Pre-University Lecturers in Malaysia. International Journal of Academic Research in Business and Social Sciences, 13(12), 4481–4489.
Copyright: © 2024 The Author(s)
Published by HRMARS (www.hrmars.com)
This article is published under the Creative Commons Attribution (CC BY 4.0) license. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this license may be seen at: http://creativecommons.org/licences/by/4.0/legalcode