Analysis of Factors influencing the successful use of Massive Open Online Courses (MOOCs) to prepare Digital Talent
(1) Universitas Indonesia
(2) Universitas Indonesia
(3) Universitas Indonesia
(4) Perbanas Institute
(*) Corresponding Author
DOI: https://doi.org/10.26858/est.v9i1.44936
Abstract
One type of e-learning category is Massive Open Online Courses (MOOCs). MOOCs or MOOC promote the "democratization of education" that allows education to be accessed by everyone from anywhere and anytime. The use of MOOCs gives students access to a wide variety of resources. MOOs enable students to have the sufficient storage capacity to store their materials. MOOCs have the potential to improve digital capabilities in the face of digital transformation. The intention to use MOOC is relatively high, however, in terms of class completion rate and motivation to pass on MOOC is relatively low. These conditions need to be examined to increase the success rate of MOOCs usage. This research develops a model and identifies factors that influence the successful use of MOOCs to prepare digital talent. The approach is a mixed method that collects quantitative data using an online questionnaire and qualitative data via interviews. The researcher took data from 91 samples and eight informants for interviews. In the study results, 6 out of 12 hypotheses are accepted in this study. The factors that influence a person in completing MOOC either directly or indirectly include Performance expectancy, willingness to earn certificates, MOOC quality, and Intrinsic motivation. This research also produces recommendations that can be used as consideration for parties related to MOOC.
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Abdulraheem Yamani, H., & Elsigini, W. T. (2020). Academics’ View on Digital Transformation in the Department of Information Science at Umm Al-Qura University. ACM International Conference Proceeding Series, 177–188. https://doi.org/10.1145/3439147.3439159
Ain, N., Kaur, K., & Waheed, M. (2016). The influence of learning value on learning management system use: An extension of UTAUT2. Information Development, 32(5), 1306–1321. https://doi.org/10.1177/0266666915597546
Al-Fraihat, D., Joy, M., Masa’deh, R., & Sinclair, J. (2020). Evaluating E-learning systems success: An empirical study. Computers in Human Behavior, 102(August 2019), 67–86. https://doi.org/10.1016/j.chb.2019.08.004
Al-Qeisi, K., Dennis, C., Hegazy, A., & Abbad, M. (2015). How Viable Is the UTAUT Model in a Non-Western Context? International Business Research, 8(2), 204–219. https://doi.org/10.5539/ibr.v8n2p204
Al-Shafi, S., Weerakkody, V., & Janssen, M. (2009). Investigating the Adoption of eGovernment Services in Qatar Using the UTAUT Model. AMCIS.
Alenezi, A. R., Karim, A. M. A., & Veloo, A. (2010). An empirical investigation into the role of enjoyment, computer anxiety, computer self-efficacy and internet experience in influencing the students’ intention to use e learning: A case study from saudi arabian governmental universities. Turkish Online Journal of Educational Technology, 9(4), 22–34.
Arachchi, S. M., Chong, S. C., & Kathabi, A. (2017). System testing evaluation for enterprise resource planning to reduce failure rate. Advances in Science, Technology and Engineering Systems, 2(1), 6–15. https://doi.org/10.25046/aj020102
Arpaci, I. (2017). The role of self-efficacy in predicting use of distance education tools and learning management systems. Turkish Online Journal of Distance Education, 18(1), 52–62. https://doi.org/10.17718/tojde.285715
Arpaci, Ibrahim, Al-Emran, M., & Al-Sharafi, M. A. (2020). The impact of knowledge management practices on the acceptance of Massive Open Online Courses (MOOCs) by engineering students: A cross-cultural comparison. Telematics and Informatics, 54(July). https://doi.org/10.1016/j.tele.2020.101468
Artino, A. R. (2008). Motivational beliefs and perceptions of instructional quality: predicting satisfaction with online training*. Journal of Computer Assisted Learning, 24(3), 260–270. https://doi.org/https://doi.org/10.1111/j.1365-2729.2007.00258.x
Ayuning Budi, N. F., Adnan, H. R., Firmansyah, F., Hidayanto, A. N., Kurnia, S., & Purwandari, B. (2021). Why do people want to use location-based application for emergency situations? The extension of UTAUT perspectives. Technology in Society, 65(February), 101480. https://doi.org/10.1016/j.techsoc.2020.101480
Bayeck, R. Y. (2016). Exploratory study of MOOC learners’ demographics and motivation: The case of students involved in groups. Open Praxis, 8(3), 223. https://doi.org/10.5944/openpraxis.8.3.282
Bensaid, B., & Brahimi, T. (2021). Coping with COVID-19: Higher Education in the GCC Countries. In A. N. R. Visvizi A. Lytras M.D. (Ed.), Springer Proceedings in Complexity (pp. 137–153). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-62066-0_12
Bozkurt, A., Jung, I., Xiao, J., Vladimirschi, V., Schuwer, R., Egorov, G., Lambert, S. R., Al-freih, M., Pete, J., Olcott, D., & Rodes, V., Aranciaga, I., Bali, M., Alvarez, A. V, Roberts, J., Pazurek, A., Raffaghelli, J. E., Panagiotou, N., Coëtlogon, P. De, Shahadu, S., Brown, M., Asino, T. I., Tumwesige, J., Reyes, R., Ipenza, E. B., … Paskevicius, M. (2020). A global outlook to the interruption of education due to COVID-19 Pandemic: Navigating in a time of uncertainty and crisis. Asian Journal of Distance Education, 15(1), 1–126.
Burlea, A. S. (2009). Success factors for an information systems projects team creating new context. 11th International Business Information Management Association Conference, IBIMA 2009, 1–3, 936–941. https://www.scopus.com/inward/record.uri?eid=2-s2.0-84898029471&partnerID=40&md5=07f74607c4dd1c08c8a3c06ccf1607ca
Casasayas, O., Hosseini, M. R., Edwards, D. J., Shuchi, S., & Chowdhury, M. (2021). Integrating BIM in Higher Education Programs: Barriers and Remedial Solutions in Australia. Journal of Architectural Engineering, 27(1). https://doi.org/10.1061/(ASCE)AE.1943-5568.0000444
Cerezo-Narváez, A., Pastor-Fernández, A., Otero-Mateo, M., Ballesteros-Pérez, P., & Rodríguez-Pecci, F. (2021). Knowledge as an organizational asset for managing complex projects: The case of naval platforms. Sustainability (Switzerland), 13(2), 1–20. https://doi.org/10.3390/su13020885
Chandra Sharma, S. (2015). Keys to Digital Transformation - People, Mindset & Culture. Research Journal of Science & IT Management, 5(2), 39–46.
Chang, S.-C., & Tung, F.-C. (2008). An empirical investigation of students’ behavioural intentions to use the online learning course websites. British Journal of Educational Technology, 39(1), 71–83. https://doi.org/https://doi.org/10.1111/j.1467-8535.2007.00742.x
Cheung, G., Wan, K., & Chan, K. (2018). Efficient use of clickers: A mixed-method inquiry with university teachers. Education Sciences, 8(1). https://doi.org/10.3390/educsci8010031
Creswell, J. (2014). Research design: Qualitative, quantitative, and mixed methods approaches: Vol. null (4th ed. (Ed.)).
Creswell, J. W., & Creswell, D. J. (2018). Research design: qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
de Barba, P. G., Kennedy, G. E., & Ainley, M. D. (2016). The role of students’ motivation and participation in predicting performance in a MOOC. Journal of Computer Assisted Learning, 32(3), 218–231. https://doi.org/https://doi.org/10.1111/jcal.12130
Dečman, M. (2015). Modeling the acceptance of e-learning in mandatory environments of higher education: The influence of previous education and gender. Computers in Human Behavior, 49, 272–281. https://doi.org/https://doi.org/10.1016/j.chb.2015.03.022
Fianu, E., Blewett, C., Ampong, G. O. A., & Ofori, K. S. (2018a). Factors affecting MOOC usage by students in selected Ghanaian universities. Education Sciences, 8(2). https://doi.org/10.3390/educsci8020070
Fianu, E., Blewett, C., Ampong, G. O. A., & Ofori, K. S. (2018b). Factors Affecting MOOC Usage by Students in Selected Ghanaian Universities. Education Sciences, 8(2). https://doi.org/10.3390/educsci8020070
Guntha, R., Rao, S. N., Muccini, H., & Vinodini Ramesh, M. (2021). Rapid Yet Robust Continuous Delivery of Software for Disaster Management Scenarios. IEEE Software, 38(4), 104–113. https://doi.org/10.1109/MS.2020.3023171
Gupta, G., & Bose, I. (2019). Strategic learning for digital market pioneering: Examining the transformation of Wishberry’s crowdfunding model. Technological Forecasting and Social Change, 146, 865–876. https://doi.org/10.1016/j.techfore.2018.06.020
Gupta, K. P., & Maurya, H. (2020). Adoption , completion and continuance of MOOCs : a longitudinal study of students ’ behavioural intentions. Behaviour & Information Technology, 0(0), 1–18. https://doi.org/10.1080/0144929X.2020.1829054
Hafidz, M. Al. (2022). Acceptance of e-Learning Applications at Indonesian Universities Using the Extended Technology Acceptance Model. Sistemasi, 11(2), 526. https://doi.org/10.32520/stmsi.v11i2.1993
Hone, K. S., & El Said, G. R. (2016). Exploring the factors affecting MOOC retention: A survey study. Computers and Education, 98, 157–168. https://doi.org/10.1016/j.compedu.2016.03.016
Junus, K., Santoso, H. B., Putra, P. O. H., Gandhi, A., & Siswantining, T. (2021). Lecturer readiness for online classes during the pandemic: A survey research. Education Sciences, 11(3). https://doi.org/10.3390/educsci11030139
Khalid, B., & Naumova, E. (2021). Digital transformation SCM in view of Covid-19 from Thailand SMEs perspective. In Global Challenges of Digital Transformation of Markets (pp. 49–66). Nova Science Publishers, Inc. https://www.scopus.com/inward/record.uri?eid=2-s2.0-85116780657&partnerID=40&md5=ba31fd0ae1e1f4171e6c6c7e95801880
Kim, D., Jung, E., Yoon, M., Chang, Y., Park, S., Kim, D., & Demir, F. (2021). Exploring the structural relationships between course design factors, learner commitment, self-directed learning, and intentions for further learning in a self-paced MOOC. Computers and Education, 166(February), 104171. https://doi.org/10.1016/j.compedu.2021.104171
Kizilcec, R. F., & Halawa, S. (2015). Attrition and Achievement Gaps in Online Learning. Proceedings of the Second (2015) ACM Conference on Learning @ Scale, 57–66. https://doi.org/10.1145/2724660.2724680
Kizilcec, R. F., Pérez-Sanagustín, M., & Maldonado, J. J. (2017). Self-regulated learning strategies predict learner behavior and goal attainment in Massive Open Online Courses. Computers & Education, 104, 18–33. https://doi.org/https://doi.org/10.1016/j.compedu.2016.10.001
Konferry. (n.d.). https://infokf.kornferry.com
Li, B., Wang, X., & Tan, S. C. (2018). What makes MOOC users persist in completing MOOCs? A perspective from network externalities and human factors. Computers in Human Behavior, 85, 385–395. https://doi.org/10.1016/j.chb.2018.04.028
Littenberg-Tobias, J., & Reich, J. (2020). Evaluating access, quality, and equity in online learning: A case study of a MOOC-based blended professional degree program. Internet and Higher Education, 47(June), 100759. https://doi.org/10.1016/j.iheduc.2020.100759
Littlejohn, A., Hood, N., Milligan, C., & Mustain, P. (2016). Learning in MOOCs: Motivations and self-regulated learning in MOOCs. The Internet and Higher Education, 29, 40–48. https://doi.org/https://doi.org/10.1016/j.iheduc.2015.12.003
Liu, M., Kang, J., Cao, M. W., Lim, M. H., Ko, Y. J., Myers, R., & Schmitz Weiss, A. S. (2014). Examining learners’ perspective of taking a MOOC: reasons, excitement, and perception of usefulness. The American Journal of Distance Education, 28(null), 147.
Magen-Nagar, N., & Cohen, L. (2017). Learning strategies as a mediator for motivation and a sense of achievement among students who study in MOOCs. Education and Information Technologies, 22(3), 1271–1290. https://doi.org/10.1007/s10639-016-9492-y
Magsamen-Conrad, K., Upadhyaya, S., Joa, C. Y., & Dowd, J. (2015). Bridging the divide: Using UTAUT to predict multigenerational tablet adoption practices. Computers in Human Behavior, 50, 186–196. https://doi.org/https://doi.org/10.1016/j.chb.2015.03.032
Mamlook, R., Garadah, T., Riaz, S., Salama, A.-A. M. J., Alkhazali, T. M. N., Ismail, A. M. A., & Tabassum, M. (2021). Intelligent Information and Communication Technology Innovation Management in Higher Education. In S. K. Visvizi A. Troisi O. (Ed.), Springer Proceedings in Complexity (pp. 155–163). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-84311-3_15
Martha, A. S. D., Junus, K., Santoso, H. B., & Suhartanto, H. (2021). Assessing undergraduate students’ e-learning competencies: A case study of higher education context in Indonesia. Education Sciences, 11(4). https://doi.org/10.3390/educsci11040189
Mastan, I. A., Sensuse, D. I., Suryono, R. R., & Kautsarina, K. (2022). Evaluation of Distance Learning System (E-Learning): a Systematic Literature Review. Jurnal Teknoinfo, 16(1), 132. https://doi.org/10.33365/jti.v16i1.1736
Mohapatra, S. (2019). 67 . Mohapatra Sanjay , Rituparna Mohanty , ( 2017 ), Adopting MOOCs for afforable quality education , Education and Information Technologies , Vol 22 , Issue 5 , Pp 2027-2053 Making online courses free for everyone – an empirical study to determine the f. 22(5), 2027–2053.
Mukala, P., Buijs, J., Leemans, M., & Aalst, W. M. P. van der. (2015). Learning Analytics on Coursera Event Data: A Process Mining Approach. In P. Ceravolo & S. Rinderle-Ma (Eds.), Proceedings of the 5th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2015) (Vol. 1527, pp. 18–32). CEUR-WS.org.
Nada Ali Hakami. (2018). An Investigation of the Motivational Factors Influencing Learners’ Intentions to Continue Using Arabic MOOCs. Thesis, I–XX, 1–195.
Ozkan, S., & Koseler, R. (2009). Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Computers & Education, 53(4), 1285–1296. https://doi.org/https://doi.org/10.1016/j.compedu.2009.06.011
Pynoo, B., Devolder, P., Tondeur, J., van Braak, J., Duyck, W., & Duyck, P. (2011). Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study. Computers in Human Behavior, 27(1), 568–575. https://doi.org/https://doi.org/10.1016/j.chb.2010.10.005
Shen, S.-T., & Chen, Y.-M. (2021). Design of Digital Repair System for Damaged Cultural Relic Image in the Professional Training of Restoration. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 389, 322–331. https://doi.org/10.1007/978-3-030-84383-0_28
Shrader, S., Wu, M., Owens, D., & Ana, K. (2016). Massive open online courses (MOOCS): Participant activity, demographics, and satisfaction. Online Learning Journal, 20(2). https://doi.org/10.24059/olj.v20i2.596
Sousa, M. J., & Rocha, Á. (2019). Digital learning: Developing skills for digital transformation of organizations. Future Generation Computer Systems, 91, 327–334. https://doi.org/10.1016/j.future.2018.08.048
Sufyan, A., Nuruddin Hidayat, D., Lubis, A., Kultsum, U., Defianty, M., & Suralaga, F. (2020). Implementation of E-Learning during a Pandemic: Potentials and Challenges. 2020 8th International Conference on Cyber and IT Service Management, CITSM 2020. https://doi.org/10.1109/CITSM50537.2020.9268900
Tan, P. J. B. (2019). An empirical study of how the learning attitudes of college students toward English E-Tutoring websites affect site sustainability. Sustainability (Switzerland), 11(6). https://doi.org/10.3390/su11061748
Tashakkori, A., & Teddlie, C. (2003). Handbook of Mixed Methods in Social and Behavioral Research. In Thousand Oaks: Sage. Thousand Oaks: Sage.
Technology, C. (2018). Learner retention in MOOC environment : Analyzing the role of motivation , self-efficacy and perceived effectiveness R Sujatha and D Kavitha PSG Institute of Management , Tamil Nadu , India. 14(2), 62–74.
Turban, E., Outland, J., King, D., Lee, J. K., Liang, T.-P., & Turban, D. C. (2018). Electronic commerce 2018. In Springer Texts in Business and Economics. https://doi.org/10.1080/02564602.1999.11416851
Venkatesh, V., Brown, S. A., & Bala, H. (2013). Bridging the Qualitative-Quantitative Divide: Guidelines for Conducting Mixed Methods Research in Information Systems. Management Information Systems Research Center, University of Minnesota, 37(March), 1–23.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. 27(3), 425–478.
Virani, S. R., Saini, J. R., & Sharma, S. (2020). Adoption of massive open online courses (MOOCs) for blended learning: the Indian educators’ perspective. Interactive Learning Environments, 0(0), 1–17. https://doi.org/10.1080/10494820.2020.1817760
Wang, M. H., & Yang, T. Y. (2016). Investigating the success of knowledge management: An empirical study of small- and medium-sized enterprises. Asia Pacific Management Review, 21(2), 79–91. https://doi.org/10.1016/j.apmrv.2015.12.003
Wang, Y.-S., Wu, M.-C., & Wang, H.-Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118. https://doi.org/https://doi.org/10.1111/j.1467-8535.2007.00809.x
Wang, Y. S., Wu, M. C., & Wang, H. Y. (2009). Investigating the determinants and age and gender differences in the acceptance of mobile learning. British Journal of Educational Technology, 40(1), 92–118. https://doi.org/10.1111/j.1467-8535.2007.00809.x
Yamani, H. (2021). The Study of Digital Transformation Skills and Competencies Framework at Umm Alqura University. Researchgate.Net, January. https://www.researchgate.net/publication/348805463
Yang, S., Lee, J. W., Kim, H.-J., Kang, M., Chong, E., & Kim, E.-M. (2021). Can an online educational game contribute to developing information literate citizens? Computers and Education, 161. https://doi.org/10.1016/j.compedu.2020.104057
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