Enhancing AI Competency in e-Science with Immersive Learning Experiences
Members of the Western Michigan Transformative Interdisciplinary Human+AI Research Group have been engaged in two consecutive NSF-funded projects to promote AI readiness in diverse STEM disciplines. Putting equal emphasis on theory and practice, our goal is to instill knowledge and competency in safe, secure, and reliable AI across a wide range of learners from high school students through to university students and practitioners who wish to upskill. The second project that is currently underway has a specific focus on machine-assisted processing of massive data. This presentation focuses on the development of immersive learning experiences.
Authors
- Steve Carr (ORCID: https://orcid.org/0000-0002-8922-0805)
- Irene Kahvazadeh (ORCID: https://orcid.org/0000-0001-7056-8601)
- Ajay Gupta (ORCID: https://orcid.org/0000-0001-7881-4010)
- Shameek Bhattacharjee (ORCID: https://orcid.org/0000-0003-3596-9447)
- Kuan-Lin Chen
- Alisha Fong
Institutions
- Western Michigan University (US)
Publication Details
- Published
- 2025-09-15
- DOI
- https://doi.org/10.1109/escience65000.2025.00043
- Primary Topic
- Online Learning and Analytics
- Type
- article
- Field-Weighted Citation Impact
- 0.00