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Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute
Asian Institute of Research, Journal Publication, Journal Academics, Education Journal, Asian Institute

Education Quarterly Reviews

ISSN 2621-5799

asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
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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

asia institute of research, journal of education, education journal, education quarterly reviews, education publication, education call for papers
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doi

10.31014/aior.1993.06.01.701

Pages: 228-240

Keywords: Artificial Intelligence (AI), Outcome-Based Education (OBE), Creative Vocational Education Model (CVEM), Performance Vocational Education Model (PVEM)

Abstract

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.

References

  1. Ã…gerfalk, 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

  2. 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

  3. 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

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. Gagné, R. M. (1985 (4th Revised ed.)). Conditions of Learning and Theory of Instruction. Wadsworth Publishing Co. Inc.

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 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

  17. 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

  18. 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

  19. 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

  20. 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

  21. Nasution, H. (2012). Implementasi Logika Fuzzy pada Sistem Kecerdasan Buatan. Jurnal Elkha, 2. doi:http://dx.doi.org/10.26418/elkha.v4i2.512

  22. 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/

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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/

  28. 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

  29. 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

  30. 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

  31. 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.

  32. 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

  33. 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, .

  34. 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.

  35. Woolf, B. P. (2008). Building Intelligent Interactive Tutors: Student-centered strategies for revolutionizing e-learning. San Francisco, CA, United States: Morgan Kaufmann Publishers Inc.

  36. 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

  37. 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

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