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Social learning dynamics influence performance and career self-efficacy in career-oriented educational virtual
Bradley D Pitcher1, Daniel M Ravid2, Peter J Mancarella1
1Department of Psychological Sciences, Purdue University, West Lafayette, IN, United States of America.
Educational virtual environments (EVEs) enhance career self-efficacy. Higher immersion and fidelity in EVEs amplify social learning, boosting performance and career interest, especially for men.
Area of Science:
- Educational technology
- Virtual reality in education
- Career development
Background:
- Educational virtual environments (EVEs) offer immersion and fidelity for training.
- Career-oriented EVEs are increasingly used but their impact on career outcomes is under-researched.
- The influence of social learning dynamics within EVEs on career development needs further investigation.
Purpose of the Study:
- To examine the effects of immersion and fidelity in EVEs on career-related outcomes.
- To investigate the role of social learning dynamics in career-oriented EVEs.
- To compare EVE-based career exploration with traditional methods.
Main Methods:
- Two studies employed an inductive approach to explore EVEs.
- Study 1 compared welding career exploration in EVEs versus traditional methods.
- Study 2 manipulated immersion and fidelity levels in EVEs to assess social learning effects on performance and career-related self-efficacy/interest.
Main Results:
- EVEs use led to higher career self-efficacy compared to traditional methods.
- Social learning dynamics were evident in both high and low immersion/fidelity EVEs, but stronger in high-immersion/fidelity environments.
- Individual performance in high immersion/fidelity EVEs predicted career self-efficacy and interest for men, influenced by behavioral modeling.
Conclusions:
- Career-oriented EVEs show promise for enhancing career self-efficacy and facilitating skills training.
- Higher immersion and fidelity in EVEs can strengthen social learning and performance outcomes.
- Implementation of career-oriented EVEs requires consideration of gender differences and optimal design for effective learning and career development.
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