The Future of Education

Edition 16

Accepted Abstracts

AI-Augmented Immersive Simulations for Employability Development: Insights from a Credit-Bearing MBA Module

Bernie Burke, University College Dublin Smurfit Graduate Business School (Ireland)

Abstract

As AI accelerates workforce transformation, human and behavioural competencies are among the fastest-rising employer priorities (World Economic Forum, 2025). Yet higher education faces a persistent challenge: creating the curriculum conditions that develop these capabilities in ways that are pedagogically grounded, integrated and scalable. This session shares practitioner insights from an AI-enhanced, credit-bearing employability module within an MBA programme at an Irish business school.

The module is designed around a behavioural competency framework developed by the author with global employers and validated by occupational psychologists, rooted in McClelland’s (1973, 1998) criterion-referenced approach and connected to predictive validity evidence for behavioural assessment (Schmidt & Hunter, 1998) and research on immersive learning (Dede, 2009; Dede & Etemadi, 2021). A central feature is immersive behavioural simulations in which students engage in realistic professional scenarios including mock interviews and career conversations via a virtual reality platform, with AI-generated feedback aligned to the competency framework.

Two questions are addressed: How can immersive behavioural simulations extend access to authentic rehearsal within a credit-bearing employability module? And how does a design rooted in occupational psychology translate into a scalable, curriculum-integrated experience without losing rigour? The case foregrounds inclusive design across diverse cohorts including learners with limited prior exposure to professional recruitment. The educator is repositioned as coach and interpreter, with AI expanding formative input rather than replacing judgement.

Findings draw on platform engagement data, transcript and report analysis, student reflection and feedback, and employer validation. Critical reflections on design rationale, ethical considerations and perceived relevance offer transferable insights for educators seeking to embed AI-augmented simulation within credit-bearing programmes.

Keywords: AI in education; immersive simulation; behavioural competency; occupational psychology; employability learning; career development; MBA education

References

Bartram, D., & Kurz, R. (2002). Competency and individual performance: Modelling the world of work. In Robertson, Callinan & Bartram (Eds.), Organisational Effectiveness: The Role of Psychology. Wiley.

Dacre Pool, L., & Sewell, P. (2007). The key to employability: Developing a practical model of graduate employability. Education + Training, 49(4), 277–289.

Dacre Pool, L. (2020). Graduate employability: Everyday perspectives. In Yorke (Ed.), Employability in Higher Education. SEDA.

Dede, C. (2009). Immersive interfaces for engagement and learning. Science, 323(5910), 66–69.

Dede, C., & Etemadi, A. (2021). Why dispositions matter for the workforce in turbulent, uncertain times. Harvard Graduate School of Education.

McClelland, D. C. (1973). Testing for competence rather than for “intelligence”. American Psychologist, 28(1), 1–14.

McClelland, D. C. (1998). Identifying competencies with behavioral-event interviews. Psychological Science, 9(5), 331–339.

Saville, P. (2004). Saville Wave Professional Styles Technical Manual. Saville Assessment.

Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology. Psychological Bulletin, 124(2), 262–274.

World Economic Forum (2025). The Future of Jobs Report 2025. Geneva: WEF.

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