Supervisor Resources

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Good supervision of graduate students improves graduate student learning, productivity and satisfaction with their experience at the University of Alberta. Mentorship goes beyond supervision to address the whole person and the life-long career choices ahead for the graduate students we supervise.  These pages host a collection of resources to help supervisors of graduate students achieve these goals. 


The session below is co-hosted by the Faculty of Graduate and Postdoctoral Studies and the U of A Library.  Note this session is for faculty, a session for graduate students will be upcoming in May/June.

Beyond Search: AI-Powered Literature Review in the Age of Deep Research

Date:  April 3, 2025
Time:  12:00 - 13:00 MT
Click to Register
Zoom:  https://ualberta-ca.zoom.us/j/91728637535?pwd=Ead5DpnoS3cIPt3yzeeY3ZfUBK3v8K.1

This workshop explores the emerging impact of generative AI and Large Language Models (LLMs) on the research process. We will highlight recent advancements in ‘deep research’ and showcase LLM-powered tools that extend research capabilities beyond traditional methods. The session will then focus on the literature review as a key stage in the research process, providing university faculty with practical strategies for integrating generative AI tools into their literature review process. We will delve into how AI-enhanced tools such as NotebookLM and Elicit can assist in various stages, including brainstorming research directions, identifying key literature, summarizing sources, and data extraction. Participants will learn about using NotebookLM and Elicit to optimize their research workflows and accelerate the synthesis of scholarly information.

Learning Outcomes:

  • Recognize key advancements in the use of generative AI and Large Language Models in academic research 
  • Identify and apply specific AI tools (NotebookLM and Elicit) to support key stages of the literature review process, including idea generation, literature search, and source synthesis.
  • Evaluate the strengths and limitations of AI-driven literature review methods and understand how to integrate these tools ethically and effectively into their research.
  • Develop strategies for using AI to efficiently extract and synthesize data from research articles, saving time, and enhancing the depth of their literature reviews.

This session will be presented by:
Dr. Ali Shiri, Vice Dean, Faculty of Graduate & Postdoctoral Studies
Kim Frail, Head, Teaching and Learning, University of Alberta Library
Janice Kung, Health Sciences Librarian, Sperber Health Sciences Library.

Register and to Receive Session Materials

 

Supporting Your Students and Postdocs In Their Career Journey

Date: Thursday, May 1, 2025
Time: 12:00 - 1:00 p.m. MT

Location: Online via Zoom

Do your graduate students and postdocs come to you with questions about their career options or PD requirements? Are they only talking with you about the academic path, yet less than 50% of graduate students end up in academia?  Did you know that students who do internships take less time on average to complete their grad programs? We know you are not career advisors, but there are people on campus who are. Come join us for a session that will help you support your students with options to explore their career path.
Presenters: Ana Sabo and James Kuang, Career Advisors, Career Centre

Upcoming Events



Generative AI: Graduate and Research Supervision

Hands on keyboard that says supervision

Resources relevant to generative AI and supervision



Information on the Professional Development Requirement

Graduate student supervisors have questions about the university's Professional Development Requirement — and we have answers. Follow the links below to learn more.



Other Resources

Information on the Role of Graduate Supervisors
FGSR Guidance Sheets