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Local AI for Research and Teaching: A Hands-On Workshop

This workshop introduces you to the power of local generative AI, a new library service that allows you to run powerful models securely on your own computer, keeping your research and student data completely private and cost-free. Provided by the Universi

Introduction Slideshow

Slideshow Cover Image

Workshop Resources

Local AI Runners (Engines)
Workshop Data
  • Download (Workshop Script & Data)
    • Script
    • Papers downloaded from ERIC
      • Mahendra, I. G. B., & Killis, B. (2025). Impact of Virtual Laboratory-Assisted Microlearning on Students' Motivation, Engagement, and Academic Success. Journal of Learning for Development. (LINK)

      • Demeijer, F. A., van der Velde, R., Labrie, N. H. M., & Zweekhorst, M. B. M. (2025). Student Motivation in Cross-Disciplinary Bildung Education: Learnings from a Case Study in the Netherlands. Teaching & Learning Inquiry. (LINK)

      • Olmedo-Torre, N., Peña, M., Soriano, M., & Pujol-Ferran, A. (2025). Instructional Design Using PBL Active Methodologies in the Teaching of Graphic Engineering. Interdisciplinary Journal of Problem-based Learning. (LINK)

      • Yuan, X., Okonufua, O., & Kiani, M. (2025). International Student Motivations and Experiences in Small to Mid-Sized Universities in Remote Canada: A Scoping Review. Journal of International Students. (LINK)

      • Zhang, Y. (2025). Virtual Concerts in Learning Oboe-Played Chinese Folk Music: Impact on Performance Proficiency, Perceived Aesthetic Qualities, and Students' Motivation. International Review of Research in Open and Distributed Learning. (LINK)

Workshop Case Example

For each research paper, find the following:

  1. What is the research question?
  2. What is the methodology employed in each paper? Options can include `Quantitative`, `Qualitative`, `Mixed-Methods`, or `N/A`

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