IMPLEMENTASI MIROKREDENSIAL DI INDONESIA: MENGUKUR PENERIMAAN TEKNOLOGI MAHASISWA [THE IMPLEMENTATION OF MICROCREDENTIALS IN INDONESIA: MEASURING STUDENTS’ TECHNOLOGY ACCEPTANCE]
DOI:
https://doi.org/10.19166/pji.v1i19.6078Keywords:
Mikrokredensial, TAM, Pembelajaran Daring, Game DeveloperAbstract
Abstract
This study aimed to analyse the main four major components of the Technology Acceptance Model (TAM) in study participants (N = 275). Study participants are students who enrolled in the full online Micro-Credential Developer Program and participated intensively in both synchronous and asynchronous learning activities. Result indicates that perceived ease of use was not directly correlated with participants' behavioural intent to use. It is predicted that the LMS used did not match the course’s characteristics, there still is much room for improvement in the learning design, and the pre-training of students before the program is implemented needs to be significantly improved. The study also presents a comparison of findings on student acceptance of technology in micro-credential programs conducted in various other countries.
Bahasa Indonesia Abstrak
Penelitian ini menganalisa 4 elemen utama dalam Technology Acceptance Model (TAM) pada sampel mahasiswa (N-275) yang mengikuti Program Mikro Kredensial Game Developer secara intensif dengan moda pembelajaran full daring secara sinkronus maupun asinkronus. Hasil penelitian menunjukkan Perceived Ease of Use tidak memberikan pengaruh langsung terhadap Behavioural Intention to Use dari responden. Hal ini diduga karena kurangnya tepatnya pemilihan LMS yang digunakan, rancangan pembelajaran yang masih harus ditingkatkan serta kurangnya pelatihan yang diberikan oleh penyelenggara kepada responden sebelum Program ini berlangsung. Penelitian ini juga menyajikan perbandingan hasil kajian penerimaan teknologi mahasiswa dalam program mikro kredensial yang dilakukan di berbagai negara lain.
References
Al-Adwan, A., Al-Adwan, A., & Smedley, J. (2013). Exploring students’ acceptance of elearning using Technology Acceptance Model in Jordanian universities. International Journal of Education and Development Using Information and Communication Technology (IJEDICT), 9(2), 4-18.. Retrieved from https://www.learntechlib.org/p/130283/
Al-Rahmi, A. M., Al-Rahmi, W. M., Alturki, U., Aldraiweesh, A., Almutairy, S., & Al-Adwan, A. S. (2021). Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education. Sustainability, 13(14), 1-22. https://doi.org/10.3390/su13147893
Ansari, M. M. (2002). Planning for Open and Distance Learning in India: Reflections on Access and Equity Issues in a Developing Country. Industry and Higher Education, 16(4), 223-232. https://doi.org/10.5367/000000002101296324
Apuke, O. (2017). Quantitative Research Methods : A Synopsis Approach. Kuwait Chapter of Arabian Journal of Business and Management Review, 6(11), 40-47. https://doi.org/10.12816/0040336
Ayebi-Arthur, K. (2017). E-learning, resilience and change in higher education: Helping a university cope after a natural disaster. Sage Journals, 14(5), 259-274. https://doi.org/10.1177/2042753017751712
Baltaci-Goktalay, S., & Ocak, M. (2006). Faculty Adoption of Online Technology in Higher Education. Turkish Online Journal of Educational Technology - TOJET, 5(4), 37-43. Retrieved from https://files.eric.ed.gov/fulltext/EJ1102592.pdf
Bao, W. (2020). COVID ”19 and online teaching in higher education: A case study of Peking University. Human Behavior and Emerging Technologies,, 2(2), 113-115. https://doi.org/10.1002/hbe2.191
Bingimlas, K. A. (2009). Barriers to the successful integration of ICT in teaching and learning environments: A review of the literature. Eurasia Journal of Mathematics, Science and Technology Education, 5(3), 235-245. https://doi.org/10.12973/ejmste/7527
Breiki, M. &.-A. (2022). The Extended Technology Acceptance Model (ETAM): Examining Students’ Acceptance of Online Learning During COVID-19 Pandemic. International Journal of Emerging Technologies in Learning (iJET), 17(20), 4-19. https://doi.org/10.3991/ijet.v17i20.29441
Buarki, H. (2016). ICT skills evaluation of faculty members in Kuwait; Preliminary findings. Information Development,, 32(4), 777-798. https://doi.org/10.1177/0266666914568796
Chen, L. (2020). Influencing Factors of Undergraduates Using App Learning Based on TAM Model - Taking MOOC App as an Example. Advances in Intelligent Systems and Computing, 1282, 505-512. https://doi.org/10.1177/23779608211054817
Davis, F. D. (1989a). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319-339. https://doi.org/10.2307/249008
Davis, F. D. (1989b). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3), 319-339. https://doi.org/10.2307/249008
Derek, N. (2020). The “Depressing” And “Disheartening” News About MOOCs. Forbes. Retrieved from https://www.forbes.com/sites/dereknewton/2020/06/21/the-depressing-and-disheartening-news-about-moocs/?sh=69bab99b76ed
Dhilla, S. J. (2017a). The role of online faculty in supporting successful online learning enterprises: A literature review. Higher Education Politics & Economics, 3(1), 136-155. doi: https://doi.org/10.32674/hepe.v3i1.12
Dhilla, S. J. (2017b). The role of online faculty in supporting successful online learning enterprises: A literature review. Higher Education Politics & Economics, 3(1), 136-155. https://doi.org/10.32674/hepe.v3i1.12
Doughty, R. (2021). The future of online learning: the long-term trends accelerated by Covid-19. The Guardian. Retrieved from https://www.theguardian.com/education/2021/feb/16/the-future-of-online-learning-the-long-term-trends-accelerated-by-covid-19
Feriady, M., Nurkhin, A., Mahmud, N., Setiani, R., & Astuti, D. P. (2020). Influence of organizational suport and digital literacy on lecturer acceptance of e-learning in indonesia: A modification of technologi acceptance model. International Journal of Scientific and Technology Research, 9(1), 2229-2233.
Furber, S. (2012). Shut down or restart? The way forward for computing in UK Schools. London, UK: The Royal Society.
Fussell, S., & Truong, D. (2022). Using virtual reality for dynamic learning: an extended technology acceptance model. Virtual Reality, 26, 249-267. https://doi.org/10.1007/s10055-021-00554-x
Hamdi, M., & Hamtini, T. (2016). Designing an effective e-content development framework for the enhancement of learning programming. International Journal of Emerging Technologies in Learning, 11(4), 131-141. https://doi.org/10.3991/ijet.v11i04.5574
Hou, H.-T., & Li, M.-C. (2014). Evaluating multiple aspects of a digital educational problem-solving-based adventure game. Computers in Human Behavior, 30, 29-38. https://doi.org/10.1016/j.chb.2013.07.052
Huang, F., & Teo, T. (. (2020). Influence of teacher-perceived organisational culture and school policy on Chinese teachers’ intention to use technology: an extension of technology acceptance model. Educational Technology Research and Development, 68(2), 1547-1567. https://doi.org/10.1007/s11423-019-09722-y’
Ismail, I., Bokhare, S. F., Azizan, S. N., & Azman, N. (2013). Teaching via mobile phone: A case study on Malaysian teachers’ technology acceptance and readiness. Journal of Educators Online, 10(1), 1-38. https://doi.org/10.9743/JEO.2013.1.3
Jatmikowati, T., Rachman, U., & Adwitiya, A. (2021). Technology Acceptance Model in using E-learning on Early Childhood Teacher Education Program’s student during pandemic. Jurnal Obsesi: Jurnal Pendidikan Anak Usia Dini, 5(2), 1501-1511. https://doi.org/10.31004/obsesi.v5i2.801
Joo, Y. J. (2014). Factors Influencing Actual Use Of Mobile Learning Connected With E-Learning. Computer Science & Information Technology (Cs & It), 169-176. https://doi.org/10.5121/csit.2014.41116
Jordan, K. (2015). Massive open online course completion rates revisited: Assessment, length and attrition. International Review of Research in Open and Distance Learning, 16(3), 341-358. https://doi.org/10.19173/irrodl.v16i3.2112
Jr, J. F., Black, W. C., & Babin, B. J. (2014). Multivariate Data Analysis (7th ed.). London: Pearson.
Lee, D. Y., & Lehto, M. R. (2013). User acceptance of YouTube for procedural learning: An extension of the technology acceptance model. Computers & Education,, 61, 193-208. https://doi.org/10.1016/j.compedu.2012.10.001
Luan, W. & Teo, T. (2009). Investigating the Technology Acceptance among Student Teachers in Malaysia: An Application of the Technology Acceptance Model (TAM). The Asia-Pacific Education Researcher, 18(2), 261-272. https://doi.org/10.3860/taper.v18i2.1327
Martin, F., Budhrani, K., & Wang, C. (2019). Examining faculty perception of their readiness to teach online. Online Learning Journal, 23(3), 97-119. http://dx.doi.org/10.24059/olj.v23i3.1555
Ngampornchai, A., & Adams, J. (2016). Students’ acceptance and readiness for E-learning in Northeastern Thailand. International Journal of Educational Technology in Higher Education, 13(1), 1-13. https://doi.org/10.1186/s41239-016-0034-x
Park, S. Y. (2009). An analysis of the technology acceptance model in understanding students’ behavioral intention to use e-Learning. Educational Technology & Society, 12(3), 150-162. https://doi.org/10.1109/IIAI-AAI.2014.14
Rafiq, F., Hussain, S., & Abbas, Q. (2020). Analyzing Students’ Attitude towards E-Learning: A Case Study in Higher Education in Pakistan. Pakistan Social Sciences Review, 4(1), 367-380. https://doi.org/10.35484/pssr.2020(4-i)29
Reich, J., & Ruipérez-Valiente, J. A. (2019). The MOOC pivot. Science, 363(6423), 130-131. https://doi.org/10.1126/science.aav7958
Rivera-vargas, P., Anderson, T., & Cano, C. A. (2021). Exploring students ’ learning experience in online education . Analysis and proposals based on the case of a Spanish open learning university. Educ Technol Res Dev, 69(6), 1-27. https://doi.org/10.1007/s11423-021-10045-0
Ross, S. M., Morrison, G. R., & Lowther, D. L. (2005). Using experimental methods in higher education research. Journal of Computing in Higher Education, 16(2), 39-64. https://doi.org/10.1007/BF02961474
Sanchez-Gordon, S., & Luján-Mora, S. (2016). How could MOOCs become accessible? The case of edX and the future of inclusive online learning. Journal of Universal Computer Science, 22(1), 55-81. https://doi.org/10.3217/jucs-022-01
Senthilnathan, S. (2019). Usefulness Of Correlation Analysis. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3416918
Shi, Y., & Lin, X. (2021). Exploring the characteristics of adults’ online learning activities: a case study of EdX online institute. Research in Learning Technology, 29. https://doi.org/10.25304/rlt.v29.2622
Stefany, S., & Purbojo, R. (2021). Digitizing Conventional Learning Materials: Production Phase. 1st ICA Regional Conference. https://doi.org/10.4108/eai.16-10-2019.2304346
Turner, M., Kitchenham, B., Brereton, P., Charters, S., & Budgen, D. (2010). Does the technology acceptance model predict actual use? A systematic literature review. Information and Software Technology, 52(5), 463-479. https://doi.org/10.1016/j.infsof.2009.11.005
Verma, J., & Abdel-Salam, A. (2019). Testing Statistical Assumptions In Research. New York, USA: John Willey & Sons Inc.
Vivolo, J. (2016). Understanding and combating resistance to online learning. Science Progress, 99(4), 399-412. https://doi.org/10.3184/003685016X14773090197742
Walters, S., Grover, K. S., Turner, R. C., & Alexander, J. C. (2017). Faculty perceptions related to teaching online: A starting point for designing faculty development initiatives. Turkish Online Journal of Distance Education,, 18(4), 4-19. https://doi.org/10.17718/tojde.340365
Wei, L. M., Piaw, C. Y., & Kannan, S. (2016). Relationship between Teacher ICT Competency and Teacher Acceptance and Use of School Management System (SMS). Malaysia Online Journal of Educational Techology, 4(4), 36-52. Retrieved from https://files.eric.ed.gov/fulltext/EJ1116214.pdf
Zgheib, G., Al Daia, R., Serhan, M., & Melki, A. (2020). Factors Influencing Students’ Online Learning Readiness in a Middle Eastern Higher Education Institution: Implications for Online Course Design. International Journal on E-Learning, 19(3), 287-308. Retrieved from https://www.learntechlib.org/primary/p/213026/.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License (CC-BY-SA 4.0) that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website). The final published PDF should be used and bibliographic details that credit the publication in this journal should be included.