Education Quarterly Reviews
Published: 08 February 2023
Outcome Based Education (OBE) Based Vocational Education Model in the Era of Artificial Intelligence (AI)
Constantinus Rudy Prihantoro
Universitas Negeri Jakarta, Indonesia
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Keywords: Artificial Intelligence (AI), Outcome-Based Education (OBE), Creative Vocational Education Model (CVEM), Performance Vocational Education Model (PVEM)
This study is to analyze AI indicators in terms of workforce needs relevant to the industry in the application of the OBE-based vocational education. Two models of the vocational education model were developed, namely the creative vocational education model (CVEM) and the performance vocational education model (PVEM). Model testing uses SEM to confirm theoretical models depicted in path diagrams with empirical data to see correlations between constructs built into path diagrams. The research population was two groups, namely industrial practitioners, and vocational teachers. Researchers found significant positive effects of AI capabilities on CVEM, PVEM, and significant influence of CVEM on PVEM. The vocational education organizational model influenced by OBE accounts for variances related to creativity, and variance in performance. The vocational education organization model provides evidence of a positive relationship between OBE-based AI capabilities with CVEM and PVEM, as well as the very significant positive influence of CVEM on PVEM.
Ågerfalk, P. J. (2020, Feb 17). Artificial intelligence as digital agency. European Journal of Information Systems, 29(1), 1-8. doi:https://doi.org/10.1080/0960085X.2020.1721947
Amabile, T. M. (2020, Oct 29). Creativity, Artificial Intelligence, and a World of Surprises. Academy of Management Discoveries, 6(3), -. doi:https://doi.org/10.5465/amd.2019.0075
Appian. (2019). Why Humans, AI Systems, and Robots Need to Get Along at Work – And Why it’s So Hard to Do Automate More. Code Less. SURVEY CONDUCTED BY IDG. https://www.appian.com/wp-content/uploads/2019/03/idg-future-of-work. U.K., France, Germany, and Spain: SURVEY CONDUCTED BY IDG. Retrieved from https://www.appian.com/wp-content/uploads/2019/03/idg-future-of-work
Bharadwaj, A. S. (2000, Mar). A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation. MIS Quarterly, 24(1), 169-196 (28 pages). doi:https://doi.org/10.2307/3250983
Chin, W. W. (1999). Structural equation modeling analysis with small samples using partial least squares. In W. W. Chin, Statistical strategies for small sample research (pp. 307-341). Thousand Oaks: CA: Sage Publications. Retrieved from https://www.scirp.org/(S(351jmbntvnsjt1aadkposzje))/reference/ReferencesPapers.aspx?ReferenceID=448254
Chui, Michael & Malhotra, Sankalp. (2018). AI adoption advances, but foundational barriers remain. McKinsey Global Institute. San Francisco: McKinsey & Company. Retrieved from Mckinsey and Company. https://www.mckinsey.com/featured-insights/artificial-intelligence/ai-adoption-advances-but-foundational-barriers-remain
Dwivedi, Y. K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T., . . . authors, m. (2019). Artificial Intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research, practice and policy. International Journal of Information Management, 1-47. doi:. https://doi.org/10.1016/j.ijinfomgt.2019.08.002
Erik Brynjolfsson, D. R. (2017, November). ARTIFICIAL INTELLIGENCE AND THE MODERN PRODUCTIVITY PARADOX: A CLASH OF EXPECTATIONS AND STATISTICS. NBER WORKING PAPER SERIES 24001. Retrieved from http://www.nber.org/papers/w24001
Fountaine, T., McCarthy, B., & Saleh, T. (2019, July-August). AI And Machine Learning: Building the AI-Powered Organization.Technology isn’t the biggest challenge. Culture is. pp. 62-73. Retrieved from https://hbr.org/2019/07/building-the-ai-powered-organization
Gagné, R. M. (1985 (4th Revised ed.)). Conditions of Learning and Theory of Instruction. Wadsworth Publishing Co. Inc.
Goralski, M. A., & KeongTan, T. (2020, March). Artificial intelligence and sustainable development. The International Journal of Management Education, 18(1). doi:https://doi.org/10.1016/j.ijme.2019.100330
Grant, R. M. (1991). The Resource-Based Theory of Competitive Advantage: Implications for Strategy Formulation. California Management Review, 33(3), 114–135. doi:https://doi.org/10.2307/41166664
Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049-1064. doi:https://doi.org/10.1016/j.im.2016.07.004
Hanelt, A., Firk, S., Hildebrandt, B., & Kolbe, L. M. (2021). Digital M&A, digital innovation, and firm performance: an empirical investigation. European Journal of Information Systems, 30(1), 3-26. doi:https://doi.org/10.1080/0960085X.2020.1747365
Kalita, A. A. (2019, March). Intelligent Tutoring Systems: A Comprehensive Historical Survey with Recent Developments. International Journal of Computer Applications, 181(43), 1-20. doi:10.5120/ijca2019918451
Liu, Y., Lee, Y., & Andrew, N. (2020, June). How IT wisdom affects firm performance: An empirical investigation of 15-year US panel data. Decision Support Systems, 133, 113300. doi:https://doi.org/10.1016/j.dss.2020.113300
Macayan, J. (2017, July). Implementing Outcome-Based Education (OBE) Framework: Implications for Assessment of Students' Performance. Educational Measurement and Evaluation Review, 8(1), 1-10. Retrieved from https://8f776a7a-7f68-4ea2-b4aa-8023d1ecc665.filesusr.com/ugd/0adbde_a17a1676385b4bd0a0db3711c556f2e4.pdf
MacKenzie, S. B., Podsakoff, P. M., & Podsakoff, N. P. (2011, June). Construct Measurement and Validation Procedures in MIS and Behavioral Research: Integrating New and Existing Techniques. MIS Quarterly Vol. 35, No. 2 (June 2011), pp. 293-334. Management Inf, 35(2), 293-334. doi:https://doi.org/10.2307/23044045
Markowitsch, J., & Hefler, G. (2019). Future developments in Vocational Education and Training in Europe. Seville: European Commission. Retrieved from https://ec.europa.eu/jrc/sites/jrcsh/files/jrc117691.pdf
Mikalef, P., Pappas, I. O., Krogstie, J., & Giannakos, M. (2018, August). Big data analytics capabilities: a systematic literature review and research agenda. Information Systems and e-Business Management, 16(3), 547-578. doi:10.1007/s10257-017-0362-y
Nasution, H. (2012). Implementasi Logika Fuzzy pada Sistem Kecerdasan Buatan. Jurnal Elkha, 2. doi:http://dx.doi.org/10.26418/elkha.v4i2.512
News, E. (2020). AI, Industry 4.0 and disrupting vocational education. Retrieved from https://www.educationmattersmag.com.au/ai-industry-4-0-and-disrupting-vocational-education/
Paschen, J., Wilson, M., & Ferreira, J. J. (2020). Collaborative Intelligence: How Human and Artificial Intelligence Create Value along the B2B Sales Funnel. Business Horizons, 63(3), pp. 403-414. Retrieved from https://ssrn.com/abstract=3697589
Pastore, F. (2018, OCTOBER). New Education Models for the Workforce of the Future. IZA Policy Paper No. 143. Retrieved from https://docs.iza.org/pp143.pdf
Prihantoro, C. R. (2020, March). Vocational High School Readiness for Applying Curriculum Outcome Based Education (OBE) in Industrial 4.0 Era. (H. U. Mirici, Ed.) International Journal of Curriculum and Instruction, 12(1), 251–267., 12(1), 251-267. Retrieved from http://ijci.wcci-international.org/index.php/IJCI/article/view/323
Raisch, S., & Krakowski, S. (2021, Jan 14). Artificial Intelligence and Management: The Automation–Augmentation Paradox. Academy of Management Review, 46(1). doi:https://doi.org/10.5465/amr.2018.0072
Ransbotham, S., Gerbert, P., Reeves, M., Kiron, D., & Spira, M. (September 2018). Artificial Intelligence in Business Gets Real. MIT Sloan Management Review and The Boston Consulting Group. Retrieved from https://sloanreview.mit.edu/projects/artificial-intelligence-in-business-gets-real/
ROHMAN, A. S. (2018, Oktober 11). Outcomes Based Curriculum dan IABEE. Workshop Musyawarah Nasional FORTE. Batu-Malang, East Java, Indonesia: STEI ITB. Retrieved from https://elektro.ub.ac.id/fortei/wp-content/uploads/2018/10/Workshop-OBE-IABEE-FORTEI-20181.pdf
Schryen, G. (2013). Revisiting IS business value research: what we already know, what we still need to know, and how we can get there. European Journal of Information System, 22(2), 139-169. doi:https://doi.org/10.1057/ejis.2012.45
Shank, D. B., & Gott, A. (2019, August). People's self-reported encounters of Perceiving Mind in Artificial Intelligence. Data in Brief, 25. doi:https://doi.org/10.1016/j.dib.2019.104220
Souder, W. E. (1977). An exploratory study of the coordinating mechanisms between R & D and marketing as an influence on the innovation process Unknown Binding. Pittsburgh: School of Engineering, University of Pittsburgh.
Sousa, W. G., Melo, E. R., De, P. H., Bermejo, S., Farias, R. A., & Gomes, A. O. (2019, October). How and where is artificial intelligence in the public sector going? A literature review and research agenda. Government Information Quarterly, 36(4). doi:https://doi.org/10.1016/j.giq.2019.07.004
Wayne Holmes, M. B. (2019). Artificial Intelligence In Education Promises and Implications for Teaching and Learning. Boston, Massachusett, 02130, United States of America: The Center for Curriculum Redesign, .
Wilson, H. J., & Daugherty, P. (2018, July 1). Collaborative intelligence: humans and AI are joining forces. Harvard Business School Publishing, 96(4), pp. 114-123.
Woolf, B. P. (2008). Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning. San Francisco, CA, United States: Morgan Kaufmann Publishers Inc.
Wu, S. P.-J., Straub, D. W., & Liang, T.-P. (2015, June). How Information Technology Governance Mechanisms and Strategic Alignment Influence Organizational Performance. MIS Quarterly, 39(2). Retrieved from https://www.jstor.org/stable/26628363
Yogaswara, R. D. (2019, September). Artificial Inteligence Sebagai Penggerak Industri 4.0 dan Tantangannya Bagi Sektor Pemerintah dan Swasta. Masyarakat Telematika Dan Informasi. Masyarakat Telematika Dan Informasi Jurnal Penelitian Teknologi Informasi dan Komunikasi, 10(1), 68-73. doi:10.17933/mti.v10i1.144