The Interplay of Soft Skills, Digital Literacy, and Self-Efficacy in Shaping Work Readiness: A Structural Equation Modeling Study of Vocational High School Students

Main Article Content

Anas Arfandi
Musdalifah Musdalifah
Sudjani Sudjani
Abdul Haris Setiawan

Abstract

Work readiness in vocational education is increasingly shaped by transferable competencies and students’ confidence in applying them in technology-rich workplaces. Although soft skills and digital literacy are widely promoted, evidence remains limited in Indonesian VET contexts regarding how these competencies translate into work readiness through self-efficacy. This study tested a structural mediation model in which soft skills and digital literacy predict work readiness both directly and indirectly via self-efficacy among vocational students who participated in MOOC-based upskilling. A cross-sectional survey was administered to 225 students from the Construction and Housing Engineering program across 22 vocational high schools in 16 districts/cities in South Sulawesi, Indonesia. All constructs were measured using five-point Likert scales, and covariance-based SEM was estimated in AMOS using Maximum Likelihood. The model demonstrated excellent fit (CMIN/DF=1.248, RMSEA=0.001, SRMR=0.005, GFI=0.921, CFI=0.996, TLI=0.989, PNFI=0.762). Soft skills positively predicted self-efficacy (β=0.574; p<0.001) and work readiness (β=0.652, p<0.05), while digital literacy also predicted self-efficacy (β=0.274, p<0.05) and work readiness (β = 0.663, p<0.001). Self-efficacy exhibited the strongest direct effect on work readiness (β=0.778, p<0.05) and partially mediated the effects of soft skills (indirect β=0.447, p<0.05) and digital literacy (indirect β=0.213, p<0.001). Overall, these findings propose an integrated competency–belief model for Indonesian vocational students in a MOOC participation context, highlighting self-efficacy as a key mechanism through which competencies contribute to work readiness. This contribution extends SEM-based evidence on vocational competency development by underscoring the importance of confidence-building alongside skills and digital capability training.

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[1]
A. Arfandi, M. Musdalifah, S. Sudjani, and A. H. Setiawan, “The Interplay of Soft Skills, Digital Literacy, and Self-Efficacy in Shaping Work Readiness: A Structural Equation Modeling Study of Vocational High School Students”, Int. J. Environ. Eng. Educ., vol. 8, no. 2, pp. 341–359, Jun. 2026.
Section
Research Article

References

[1] National Association of Colleges and Employers (NACE), “Job Outlook 2025,” 2025. https://www.naceweb.org/mynace/job-outlook

[2] World Economic Forum, “The Future of Jobs Report 2025,” World Economic Forum, 2025. https://www.weforum.org/reports/the-future-of-jobs-report-2025/

[3] A. J. A. M. Van Deursen and J. A. G. M. Van Dijk, Digital skills: Unlocking the information society. Springer, 2014.

[4] A. Bandura, Self-Efficacy: The Exercise of Control. New York: W. H. Freeman and Company, 1997.

[5] R. W. Lent and S. D. Brown, “Social cognitive model of career self-management: Toward a unifying view of adaptive career behavior across the life span,” J. Couns. Psychol., vol. 60, no. 4, pp. 557–568, 2013, https://doi.org/10.1037/a0033446

[6] R. W. Lent, S. D. Brown, and G. Hackett, “Contextual supports and barriers to career choice: A social cognitive analysis,” J. Couns. Psychol., vol. 47, no. 1, pp. 36–49, 2000, https://doi.org/10.1037/0022-0167.47.1.36

[7] A. A. Al-Imarah and R. Shields, “MOOCs, disruptive innovation and the future of higher education: A conceptual analysis,” Innov. Educ. Teach. Int., vol. 56, no. 3, pp. 258–269, 2019, https://doi.org/10.1080/14703297.2018.1443828

[8] K. O’Connor, “MOOCs, institutional policy and change dynamics in higher education,” High. Educ., vol. 68, no. 5, pp. 623–635, 2014, https://doi.org/10.1007/s10734-014-9735-z

[9] T. R. Liyanagunawardena, S. A. Williams, and A. A. Adams, “The Impact and Reach of MOOCs: A Developing Countries’ Perspective,” eLearning Pap., vol. 33, pp. 1–8, 2013.

[10] L. Yuan and S. Powell, “In-depth MOOCs and disruptive innovation : Implications for,” eLearning Pap., vol. 33, no. May, pp. 1–8, 2013, [Online]. Available: http://www.openeducationeuropa.eu/en/article/MOOCs-and-disruptive-innovation:-Implications-for-higher-education

[11] M. M. Robles, “Executive Perceptions of the Top 10 Soft Skills Needed in Today’s Workplace,” Bus. Commun. Q., vol. 75, no. 4, pp. 453–465, 2012, https://doi.org/10.1177/1080569912460400

[12] D. P. Goleman, Emotional intelligence: Why it can matter more than IQ. New York: Bantam Books, 1995.

[13] F. Luthans and C. M. Youssef-Morgan, “Psychological capital: An evidence-based positive approach,” Annu. Rev. Organ. Psychol. Organ. Behav., vol. 4, no. 1, pp. 339–366, 2017. https://doi.org/10.1146/annurev-orgpsych-032516-113324

[14] A. J. A. M. van Deursen and J. A. G. M. van Dijk, “The first-level digital divide shifts from inequalities in physical access to inequalities in material access,” New Media Soc., vol. 21, no. 2, pp. 354–375, 2019, https://doi.org/10.1177/1461444818797082

[15] R. J. Baron, “Digital literacy,” Int. Encycl. media Lit., pp. 1–6, 2019.

[16] E. J. Helsper, “The Social Relativity of Digital Exclusion: Applying Relative Deprivation Theory to Digital Inequalities,” Commun. Theory, vol. 27, no. 3, pp. 223–242, 2017, https://doi.org/10.1111/comt.12110

[17] A. Bandura, “Self-efficacy: toward a unifying theory of behavioral change.,” Psychol. Rev., vol. 84, no. 2, p. 191, 1977. https://doi.org/10.1016/0146-6402(78)90002-4

[18] R. Schwarzer and M. Jerusalem, “Generalized Self-efficacy Scale,” In. J. Weinman, S. Wright, & M. Johnston, Measures in health psychology: A user’s portfolio. Causal and control beliefs, 1995. https://measure-wellbeing.org/measures-bank/gse/

[19] B. J. Zimmerman, “Self-Efficacy: An Essential Motive to Learn,” Contemp. Educ. Psychol., vol. 25, no. 1, pp. 82–91, 2000, https://doi.org/10.1006/ceps.1999.1016

[20] D. H. Schunk and M. K. DiBenedetto, “Self-efficacy theory in education,” in Handbook of Motivation at School: Second Edition, Routledge, 2016, pp. 34–54. https://doi.org/10.4324/9781315773384

[21] UNESCO, UNESCO strategy 2022-2029. Paris: UNESCO, 2022. [Online]. Available: https://unevoc.unesco.org/pub/unesco_strategy_for_tvet_2022-2029.pdf

[22] L. Li, “Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond,” Inf. Syst. Front., vol. 26, no. 5, pp. 1697–1712, 2024, https://doi.org/10.1007/s10796-022-10308-y

[23] W. M. Lim, “The workforce revolution: Reimagining work, workers, and workplaces for the future,” Global Business and Organizational Excellence, vol. 42, no. 4. Wiley Online Library, pp. 5–10, 2023. https://doi.org/10.1002/joe.22218

[24] I. & U. J. S. World Bank, “Improve technical and vocational education and training (TVET) to meet skills and labour mismatch.,” 2023. https://www.ilo.org/resource/news/improve-technical-and-vocational-education-and-training-tvet-meet-skills

[25] D. Gamage, I. Perera, and S. Fernando, “MOOCs lack interactivity and collaborativeness: Evaluating MOOC platforms,” Int. J. Eng. Pedagog., vol. 10, no. 2, pp. 94–111, 2020, https://doi.org/10.3991/ijep.v10i2.11886

[26] M. D. P. García-Chitiva, P. Vázquez-Villegas, and J. C. Correa, “Collaborative Skills Developed in Collaborative Online International Learning as a Multivariate Research Subject,” Int. J. Eng. Pedagog., vol. 15, no. 2, pp. 74–92, 2025, https://doi.org/10.3991/ijep.v15i2.51561

[27] S. Suyitno et al., “The Effect of Work-Based Learning on Employability Skills: The Role of Self-Efficacy and Vocational Identity,” Eur. J. Educ. Res., vol. 14, no. 1, pp. 309–321, 2025, https://doi.org/10.12973/eu-jer.14.1.309

[28] I. A. Susantyo, L. Yuldinawati, and M. A. Sugiat, “Analyzing Digital Utility App Adoption: A UTAUT Approach on PLN Mobile with Technological Literacy as a Moderator,” Adv. Sustain. Sci. Eng. Technol., vol. 8, no. 1, 2026, https://doi.org/10.26877/asset.v8i1.2367

[29] M. R. Che Abdul Rahman, U. A. A. Rauf, and S. Sinniah, “Oil Palm Smallholders Entrepreneurs and Financial Literacy: Technology Adoption,” J. Appl. Eng. Technol. Sci., vol. 6, no. 1, pp. 656–667, 2024, https://doi.org/10.37385/jaets.v6i1.6168

[30] N. Kholifah et al., “Unlocking workforce readiness through digital employability skills in vocational education Graduates: A PLS-SEM analysis based on human capital Theory,” Soc. Sci. Humanit. Open, vol. 11, p. 101625, 2025. https://doi.org/10.1016/j.ssaho.2025.10162

[31] D. R. Swaramarinda, B. Bin Isa, D. Puruwita, R. Faslah, K. D. Arfiando Sebayang, and M. A. Adha, “Preparing vocational students for the digital economy: Exploring the role of digital literacy, entrepreneurial agility, and digital entrepreneurship education,” Soc. Sci. Humanit. Open, vol. 12, p. 101926, 2025, https://doi.org/10.1016/j.ssaho.2025.101926

[32] A. Bandura, “Social cognitive theory: An agentic perspective,” Annu. Rev. Psychol., vol. 52, no. 1, pp. 1–26, 2001, https://doi.org/10.1146/annurev.psych.52.1.1

[33] A. Bandura and S. Wessels, Self-efficacy. Cambridge University Press Cambridge, 1997.

[34] D. H. Schunk and M. K. DiBenedetto, “Self-efficacy and human motivation,” in Advances in Motivation Science, vol. 8, Elsevier, 2021, pp. 153–179. https://doi.org/10.1016/bs.adms.2020.10.001

[35] S. D. Brown and R. W. Lent, Career Development and Counseling: Putting Theory and Research to Work, vol. 53, no. 9. John Wiley & Sons, 2013.

[36] C. Goldin, “Human Capital Human Capital,” Soc. Econ., vol. 2, no. I, pp. 235–287, 2016, [Online]. Available: https://link.springer.com/chapter/10.1007/978-1-349-19806-1_19

[37] G. S. Becker, Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education, 3rd ed. Chicago: University of Chicago press, 1993. https://doi.org/10.7208/chicago/9780226041223.001.0001

[38] J. World Economic Forum, “The future of jobs report 2020,” Retrieved from Geneva, 2020.

[39] H. Tushar and N. Sooraksa, “Global employability skills in the 21st century workplace: A semi-systematic literature review,” Heliyon, vol. 9, no. 11, 2023, https://doi.org/10.1016/j.heliyon.2023.e21023

[40] O. Romanova, “Embedding employability skills into vocational education and training: What works best for students’ self-evaluation and aspirations?,” J. Teach. Learn. Grad. Employab., vol. 13, no. 1, pp. 20–36, 2022, https://doi.org/10.21153/jtlge2022vol13no1art1488

[41] F. Aryani, H. Wirawan, A. Saman, S. Samad, and M. Jufri, “From high school to workplace: investigating the effects of soft skills on career engagement through the role of psychological capital in different age groups,” Educ. Train., vol. 63, no. 9, pp. 1326–1345, 2021, https://doi.org/10.1108/ET-03-2021-0087

[42] R. Vuorikari, S. Kluzer, and Y. Punie, DigComp 2.2: The Digital Competence Framework for Citizens. Luxembourg, 2022. https://doi.org/10.2760/115376JRC128415

[43] European Commission: Directorate-General for Research and Innovation, “Industry 5.0: Towards a sustainable, human-centric and resilient European industry,” Publications Office of the European Union, 2021. [Online]. Available: https://data.europa.eu/doi/10.2777/308407

[44] S. Getenet, R. Cantle, P. Redmond, and P. Albion, “Students’ digital technology attitude, literacy and self-efficacy and their effect on online learning engagement,” Int. J. Educ. Technol. High. Educ., vol. 21, no. 1, p. 3, 2024, https://doi.org/10.1186/s41239-023-00437-y

[45] A. Caroline, M. J. H. Coun, A. Gunawan, and J. Stoffers, “A systematic literature review on digital literacy, employability, and innovative work behavior: emphasizing the contextual approaches in HRM research,” Front. Psychol., vol. 15, p. 1448555, 2024, https://doi.org/10.3389/fpsyg.2024.1448555

[46] F. Tentama, N. Merdiaty, and S. Subardjo, “Self-efficacy and work readiness among vocational high school students,” J. Educ. Learn., vol. 13, no. 2, pp. 277–281, 2019, https://doi.org/10.11591/edulearn.v13i2.12677

[47] D. Zhou, Z. Peng, and H. Zhou, “The influence of career decision-making self-efficacy on employability of higher vocational students: mediated by emotional intelligence,” in Frontiers in Education, 2023, vol. 8, p. 1274430. https://doi.org/10.3389/feduc.2023.1274430

[48] B. K. Wujema, R. M. Rasdi, Z. Zaremohzzabieh, and S. Ahrari, “The Role of Self-Efficacy as a Mediating Variable in CareerEDGE Employability Model: The Context of Undergraduate Employability in the North-East Region of Nigeria,” Sustain., vol. 14, no. 8, p. 4660, 2022, https://doi.org/10.3390/su14084660

[49] X. Li, R. Pu, and N. Phakdeephirot, “The influence of achievement motivation on college students’ employability: A chain mediation analysis of self-efficacy and academic performance,” Front. Psychol., vol. 13, p. 972910, 2022, https://doi.org/10.3389/fpsyg.2022.972910

[50] R. B. Kline, Principles and practice of structural equation modeling. Guilford publications, 2023.

[51] A. Bandura, “Social Foundations of Thought and Action,” Heal. Psychol. Read., vol. 1986, no. 23–28, pp. 94–106, 2012, https://doi.org/10.4135/9781446221129.n6

[52] S. E. Maxwell and D. A. Cole, “Bias in cross-sectional analyses of longitudinal mediation,” Psychol. Methods, vol. 12, no. 1, pp. 23–44, 2007, https://doi.org/10.1037/1082-989X.12.1.23

[53] J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham, Multivariate Data Analysis, 8th ed. Edinburgh Gate, Harlow: Pearson Education Limited, 2019.

[54] Battelle for Kids, Framework for 21st Century Learning Definitions. 2019. [Online]. Available: http://static.battelleforkids.org/documents/p21/P21_Framework_DefinitionsBFK.pdf

[55] C. L. Caballero, A. Walker, and M. Fuller-Tyszkiewicz, “The Work Readiness Scale (WRS): Developing a measure to assess work readiness in college graduates,” J. Teach. Learn. Grad. Employab., vol. 2, no. 1, pp. 41–54, 2011, https://doi.org/10.21153/jtlge2011vol2no1art552

[56] U. Scholz, B. G. Doña, S. Sud, and R. Schwarzer, “Is general self-efficacy a universal construct? Psychometric findings from 25 countries,” Eur. J. Psychol. Assess., vol. 18, no. 3, pp. 242–251, 2002, https://doi.org/https://doi.org/10.1027/1015-5759.18.3.242

[57] National Association of Colleges and Employers (NACE), “Competencies for a Career-Ready Workforce,” 2024, [Online]. Available: https://www.naceweb.org/docs/default-source/default-document-library/2024/resources/nace-career-readiness-competencies-revised-apr-2024.pdf

[58] W. Ng, “Can we teach digital natives digital literacy?,” Comput. Educ., vol. 59, no. 3, pp. 1065–1078, 2012, https://doi.org/10.1016/j.compedu.2012.04.016

[59] I. Hussey, T. Alsalti, F. Bosco, M. Elson, and R. Arslan, “An Aberrant Abundance of Cronbach’s Alpha Values at .70,” Adv. Methods Pract. Psychol. Sci., vol. 8, no. 1, p. 25152459241287124, 2025, https://doi.org/10.1177/25152459241287123

[60] G. W. Cheung, H. D. Cooper-Thomas, R. S. Lau, and L. C. Wang, “Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations,” Asia Pacific J. Manag., vol. 41, no. 2, pp. 745–783, 2024, https://doi.org/10.1007/s10490-023-09871-y

[61] J. F. Hair, W. C. Black, B. J. Babin, and R. E. Anderson, “Multivariate data analysis,” 2019.

[62] R. E. Schumacker and R. G. Lomax, A Beginner’s Guide to Structural Equation Modeling, 3rd ed. Mahwah, NJ: Lawrence Erlbaum Associates, 2015. https://doi.org/10.4324/9781315749105

[63] L. T. Hu and P. M. Bentler, “Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives,” Struct. Equ. Model., vol. 6, no. 1, pp. 1–55, 1999, https://doi.org/10.1080/10705519909540118

[64] H. W. Marsh, K. T. Hau, and Z. Wen, “In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings,” Struct. Equ. Model., vol. 11, no. 3, pp. 320–341, 2004, https://doi.org/10.1207/s15328007sem1103_2

[65] R. B. Kline, Principles and practice of structural equation modeling, 4th ed. New York, United States: Guilford publications, 2015.

[66] E. Carmines and J. McIver, “Analyzing models with unobserved variables: Analysis of covariance structures,” in Social measurement: Current issues, G. W. Bohr., vol. 80, Beverly Hills: Sage Publications, 1981, pp. 65–115.

[67] F. Chen, P. J. Curran, K. A. Bollen, J. Kirby, and P. Paxton, “An empirical evaluation of the use of fixed cutoff points in RMSEA test statistic in structural equation models,” Sociol. Methods Res., vol. 36, no. 4, pp. 462–494, 2008, https://doi.org/10.1177/0049124108314720

[68] M. C. Hill and C. R. Tiedeman, “Evaluating Model Fit,” in Effective Groundwater Model Calibration, Thousand Oaks, CA: SAGE Publications, 2007, pp. 93–123. https://doi.org/10.1002/9780470041086.ch6

[69] E. L. Usher and F. Pajares, “Sources of Self-Efficacy in school: Critical review of the literature and future directions,” Rev. Educ. Res., vol. 78, no. 4, pp. 751–796, 2008, https://doi.org/10.3102/0034654308321456

[70] D. R. Compeau and C. A. Higgins, “Computer self-efficacy: Development of a measure and initial test,” MIS Q. Manag. Inf. Syst., vol. 19, no. 2, pp. 189–210, 1995, https://doi.org/10.2307/249688

[71] M. J. J. Roll and D. Ifenthaler, “Multidisciplinary digital competencies of pre-service vocational teachers,” Empir. Res. Vocat. Educ. Train., vol. 13, no. 1, p. 7, 2021, https://doi.org/10.1186/s40461-021-00112-4

[72] J. A. G. M. van Dijk, “Digital divide research, achievements and shortcomings,” Poetics, vol. 34, no. 4–5, pp. 221–235, 2006, https://doi.org/10.1016/j.poetic.2006.05.004

[73] E. van Laar, A. J. A. M. van Deursen, J. A. G. M. van Dijk, and J. de Haan, “The relation between 21st-century skills and digital skills: A systematic literature review,” Comput. Human Behav., vol. 72, pp. 577–588, 2017, https://doi.org/10.1016/j.chb.2017.03.010

[74] N. Yelland, Technology and social inclusion: Rethinking the digital divide. MIT press, 2013. https://doi.org/10.1017/CBO9781107300910.004

[75] D. J. Deming, “The growing importance of social skills in the labor market,” Q. J. Econ., vol. 132, no. 4, pp. 1593–1640, 2017, https://doi.org/10.1093/qje/qjx022

[76] D. Deming and L. B. Kahn, “Skill requirements across firms and labor markets: Evidence from job postings for professionals,” J. Labor Econ., vol. 36, no. S1, pp. S337–S369, 2018, https://doi.org/10.1086/694106

[77] C. Succi and M. Canovi, “Soft skills to enhance graduate employability: comparing students and employers’ perceptions,” Stud. High. Educ., vol. 45, no. 9, pp. 1834–1847, 2020. https://doi.org/10.1080/03075079.2019.1585420

[78] C. Ahn, S. H. Lee, F. Peña-Mora, and S. Abourizk, “Toward environmentally sustainable construction processes: The U.S. and Canada’s perspective on energy consumption and GHG/CAP emissions,” Sustainability, vol. 2, no. 1, pp. 354–370, 2010, https://doi.org/10.3390/su2010354

[79] A. R. J. Dainty and R. J. Brooke, “Towards improved construction waste minimisation: a need for improved supply chain integration?,” Struct. Surv., vol. 22, no. 1, pp. 20–29, 2004, https://doi.org/10.1108/02630800410533285

[80] H. J. Kim, A. J. Hong, and H. D. Song, “The roles of academic engagement and digital readiness in students’ achievements in university e-learning environments,” Int. J. Educ. Technol. High. Educ., vol. 16, no. 1, pp. 1–18, 2019, https://doi.org/10.1186/s41239-019-0152-3

[81] M. Oberländer, A. Beinicke, and T. Bipp, “Digital competencies: A review of the literature and applications in the workplace,” Comput. Educ., vol. 146, p. 103752, 2020, https://doi.org/10.1016/j.compedu.2019.103752

[82] B. Audrin, C. Audrin, and X. Salamin, “Digital skills at work – Conceptual development and empirical validation of a measurement scale,” Technol. Forecast. Soc. Change, vol. 202, p. 123279, 2024, https://doi.org/10.1016/j.techfore.2024.123279

[83] L. D. Pool and P. Sewell, “The key to employability: Developing a practical model of graduate employability,” Educ. Train., vol. 49, no. 4, pp. 277–289, 2007, https://doi.org/10.1108/00400910710754435

[84] M. Fugate, A. J. Kinicki, and B. E. Ashforth, “Employability: A psycho-social construct, its dimensions, and applications,” J. Vocat. Behav., vol. 65, no. 1, pp. 14–38, 2004. https://doi.org/10.1016/j.jvb.2003.10.005

[85] T. D. Oesterreich and F. Teuteberg, “Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry,” Comput. Ind., vol. 83, pp. 121–139, 2016, https://doi.org/10.1016/j.compind.2016.09.006

[86] M. Kozlovska, D. Klosova, and Z. Strukova, “Impact of industry 4.0 platform on the formation of construction 4.0 concept: A literature review,” Sustain., vol. 13, no. 5, pp. 1–15, 2021, https://doi.org/10.3390/su13052683

[87] A. D. Stajkovic and F. Luthans, “Self-efficacy and work-related performance: A meta-analysis.,” Psychol. Bull., vol. 124, no. 2, p. 240, 1998, https://doi.org/10.1037/0033-2909.124.2.240

[88] R. W. Lent, S. D. Brown, and G. Hackett, “Toward a Unifying Social Cognitive Theory of Career and Academic Interest, Choice, and Performance,” J. Vocat. Behav., vol. 45, no. 1, pp. 79–122, 1994, https://doi.org/10.1006/jvbe.1994.1027

[89] G. Petruzziello, M. G. Mariani, D. Guglielmi, B. I. J. M. van der Heijden, J. P. de Jong, and R. Chiesa, “The role of teaching staff in fostering perceived employability of university students,” Stud. High. Educ., vol. 48, no. 1, pp. 20–36, 2023, https://doi.org/10.1080/03075079.2022.2105830

[90] L. M. Moynihan, M. V. Roehling, M. A. LePine, and W. R. Boswell, “A longitudinal study of the relationships among job search self-efficacy, job interviews, and employment outcomes,” J. Bus. Psychol., vol. 18, no. 2, pp. 207–233, 2003, https://doi.org/10.1023/A:1027349115277

[91] R. Kanfer, C. R. Wanberg, and T. M. Kantrowitz, “Job search and employment: A personality–motivational analysis and meta-analytic review.,” J. Appl. Psychol., vol. 86, no. 5, pp. 837–855, 2001, https://doi.org/10.1037/0021-9010.86.5.837

[92] P. Knight and M. Yorke, Learning, curriculum and employability in higher education. London: Routledge Falmer, 2003. https://doi.org/10.4324/9780203465271

[93] P. M. Podsakoff, S. B. MacKenzie, J. Y. Lee, and N. P. Podsakoff, “Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies,” J. Appl. Psychol., vol. 88, no. 5, pp. 879–903, 2003, https://doi.org/10.1037/0021-9010.88.5.879

[94] A. Littlejohn, N. Hood, C. Milligan, and P. Mustain, “Learning in MOOCs: Motivations and self-regulated learning in MOOCs,” Internet High. Educ., vol. 29, pp. 40–48, 2016, https://doi.org/10.1016/j.iheduc.2015.12.003

[95] R. S. Jansen, A. van Leeuwen, J. Janssen, R. Conijn, and L. Kester, “Supporting learners’ self-regulated learning in Massive Open Online Courses,” Comput. Educ., vol. 146, p. 103771, 2020, https://doi.org/10.1016/j.compedu.2019.103771

[96] D. F. O. Onah, E. L. L. Pang, J. E. Sinclair, and J. Uhomoibhi, “An innovative MOOC platform: the implications of self-directed learning abilities to improve motivation in learning and to support self-regulation,” Int. J. Inf. Learn. Technol., vol. 38, no. 3, pp. 283–298, 2021, https://doi.org/10.1108/IJILT-03-2020-0040

[97] J. A. Ruipérez-Valiente et al., “Large scale analytics of global and regional MOOC providers: Differences in learners’ demographics, preferences, and perceptions,” Comput. Educ., vol. 180, p. 104426, 2022, https://doi.org/10.1016/j.compedu.2021.104426

[98] J. Reich and J. A. Ruipérez-Valiente, “The MOOC pivot,” Science (80-. )., vol. 363, no. 6423, pp. 130–131, 2019, https://doi.org/10.1126/science.aav7958

[99] D. Jackson, “Employability skill development in work-integrated learning: Barriers and best practice,” Stud. High. Educ., vol. 40, no. 2, pp. 350–367, 2015, https://doi.org/10.1080/03075079.2013.842221