Content area
Background
Ethical decision-making is at the core of higher education, yet case-based ethics training often lacks depth and practical judgment. This study investigates whether integrating Artificial Intelligence (AI) and Virtual Reality (VR) enhances ethical reasoning compared with conventional training. Sixty undergraduates in business and engineering were randomly assigned to a control group (traditional case-based role-play) or an experimental group (immersive training with Meta Quest 3 head-mounted displays using the VirtualSpeech platform). The research methodology was grounded on the Descriptive Decision Theory and Learning-Oriented Assessment (LOA) framework, emphasizing formative, feedback-rich learning aligned with Cognitive Load Theory, Experiential and Constructivist Learning, Dual-Process Theory, and AI-driven adaptive guidance.
Results
Ethical competence was assessed pre- and post-intervention across seven dimensions: dilemma recognition, evaluation of alternatives, justification, consequence analysis, contextualization, application of principles, and stakeholder/social impact. Both groups improved significantly, but the AI/VR group showed consistently larger gains and improvement. Paired and Independent t-tests, with effect-size estimates (Cohen’s d and Hedges’ g), revealed large effects favoring immersive learning. The highest post-test advantages for the AI/VR group were observed in consequence analysis (t = −96.90, Δ = 23.30, p < 0.001), evaluation of alternatives (t = −90.03, Δ = 20.20, p < 0.001), and application of ethical principles (t = −80.57, Δ = 20.83, p < .001). Minor within-group dispersion and sample homogeneity supported internal consistency and robustness of the outcomes under immersive conditions.
Conclusions
Immersive, feedback-rich AI/VR training significantly outperformed traditional methods in strengthening ethical reasoning. The findings support integrating AI- and VR-based simulations into ethics curricula to enhance consequence analysis, principled reasoning, and stakeholder awareness. Future research should explore long-term effects, hybrid delivery, and broader applicability across disciplines and professional settings.
Details
Critical Thinking;
Literature Reviews;
Experiential Learning;
Pattern Recognition;
Artificial Intelligence;
Decision Making Skills;
Evaluative Thinking;
Educational Assessment;
Formative Evaluation;
Language Processing;
Engineering Education;
Cognitive Ability;
Learner Engagement;
Undergraduate Students;
Competence;
Guidance;
Ethical Instruction;
Influence of Technology;
Conventional Instruction;
Moral Development;
Learning Processes;
Learning Theories;
Data Processing;
Higher Education
1 Tecnologico de Monterrey, Business School, Monterrey, Mexico (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701)
2 Tecnologico de Monterrey, Business School, Monterrey, Mexico (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701); Tec Milenio, Monterrey, Mexico (GRID:grid.419886.a)
3 Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey, Mexico (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701)
4 Tecnologico de Monterrey, Writing Lab, Institute for Future of Education, Monterrey, Mexico (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701); Tecnologico de Monterrey, Department of Computer Science, School of Engineering and Sciences, Monterrey, Mexico (GRID:grid.419886.a) (ISNI:0000 0001 2203 4701)