1 of 29

GenAI: NotebookLM a Personal Tool for Research & Productivity (Intermediate)

askus@uvic.ca

lib.uvic.ca/dsc/

By the UVic Libraries

Digital Scholarship Commons

lib.uvic.ca/genai-notebooklm

2 of 29

GenAI: Personal Research & Productivity

Introductory presentation: 10-min

Understand the power of NotebookLM: Key capabilities like summarization, translation, and question answering.
Become a proficient user
Unlock advanced research techniques: Discover how to use NotebookLM for literature reviews, brainstorming research questions, data analysis, and more
Best practices and limitations

Active learning time with AI tools: 60-min

3 of 29

Have you used NotebookLM? �
How would you rate your current skill level with Generative AI tools? �

Basic
Intermediate
Advanced
Unsure

4 of 29

An overview of

Artificial Intelligence

5 of 29

https://blog.dataiku.com/large-language-model-chatgpt

NARROW

This diagram helps us situate where Generative AI lives in the larger Artificial Intelligence ecosystem.

Narrow Artificial Intelligence: Computer systems able to perform specific tasks, normally requiring human intelligence
[NEXT] Machine Learning: Tabular data like spreadsheets & databases.
[NEXT] Deep Learning: Multimedia dataset using unsupervised Machine learner and instructor algorithms -> GAN or Generative Adversarial Networks
[NEXT] Natural Language Processing (NLP): Focuson on enabling computers to understand, interpret and generate human language.
[NEXT] Large Language Models power a lot of what the GenAI does for us in a Research setting
[NEXT] ChatGPT, Microsoft CoPilot, Google Gemini, and now DeepSeek are the most popular general purpose Generative AI tools that we see regularly in the media.

For Reference Purposes: https://blog.dataiku.com/large-language-model-chatgpt

6 of 29

https://www.ibm.com/think/topics/artificial-intelligence

7 of 29

8 of 29

Like an �Overeager

Research Assistant that Sometimes

Makes Stuff Up!

OpenAI. (2024). ChatGPT (4) [Large language model]. https://chat.openai.com

9 of 29

What Can NotebookLM Do for You?

10 of 29

Introduction

11 of 29

Summarization & Sources Demonstration

12 of 29

Limitations & Gaps

13 of 29

Research Question Generation

What are the institutional barriers and necessary paradigm shifts required for higher education institutions to effectively adopt and integrate digital credentials into their formal recognition systems?
To what extent and in what ways do employers across different industries recognize and value the skills and competencies represented by digital badges in the hiring process, and what factors most influence employer perception and utilization of these credentials?
What are the differential rates of adoption and perceived value of digital badges between learners participating in for-credit educational activities versus those engaging in non-credit or informal learning environments, and what factors contribute to these differences?

https://notebooklm.google.com/notebook/d1547b9b-e46a-4f3e-8b51-8a9dceb39514

Prompt: Based on the limitations and gaps mentioned in all three journal articles, propose 3-4 potential research questions that could address these gaps.
[NEXT] Prompt: Suggest interdisciplinary research questions that combine methodological approaches from all sources.
Prompt: What emerging research areas or technologies could provide new insights into the topics covered in all the sources?
Prompt: Evaluate these research questions against the following criteria: originality, feasibility, and potential impacts:

What are the institutional barriers and necessary paradigm shifts required for higher education institutions to effectively adopt and integrate digital credentials into their formal recognition systems?
To what extent and in what ways do employers across different industries recognize and value the skills and competencies represented by digital badges in the hiring process, and what factors most influence employer perception and utilization of these credentials?
What are the differential rates of adoption and perceived value of digital badges between learners participating in for-credit educational activities versus those engaging in non-credit or informal learning environments, and what factors contribute to these differences?

14 of 29

Survey Feedback - Short Answers

15 of 29

Summarize Meeting Notes & Action Items

16 of 29

Knowledge Base for Labs or Units

17 of 29

Limitations, Reliability, & Other Considerations

18 of 29

Limited Document Types…

19 of 29

50 Document or Source Limit

The free version is limited 50 docs up to 500,000 words each & paid version limited to 250 docs up to 500,000 words each.
100 notebooks for free version and 500 notebooks for paid version
Daily limits of 50 chat queries for free version and 250 for paid version
Daily limit of 3 audio generations for free version and 15 for paid version

20 of 29

But still subject to the US Patriot act & stored in the US

21 of 29

Environmental Concerns

22 of 29

Large Language Model Data

Additional Data for the LLM

How We’d Expect Large Language Models to be Updated…

23 of 29

To Add Additional Data to a LLM to Whole Model has to be Rebuilt! A Very Energy Intensive Process.

How Large Language Models are Actually Updated…

24 of 29

Like an �Overeager

Research Assistant that Sometimes

Makes Stuff Up!

OpenAI. (2024). ChatGPT (4) [Large language model]. https://chat.openai.com

25 of 29

Any Questions?

26 of 29

UVic Libraries: GenAI Research Pathway

lib.uvic.ca/genai-pathway

GenAI: Introduction & Prompt Design (Introduction)
AI Tools for Literature Reviews (Introduction)
GenAI: Spotting AI-Generated Content (Introduction)
GenAI: NotebookLM Personalized Research & Productivity (Intermediate)
GenAI: Multi-Media Tools (Intermediate)
AI: Literature Review in the Disciplines (Advanced)
GenAI: Research Tools (Advanced)

27 of 29

Activities

Log onto NotebookLM and explore the interface

Requires a Google account

Summarizing materials you provided
Collaborative brainstorming
Survey summaries using Studio

Briefing document, podcast, timeline, etc.

Converting an article to a presentation

You can use an article we give you. If you use someone else’s, make sure to obtain permission first.
Use NotebookLM to provide Slide titles, content, and speaker notes. Use MetaAI (can also use other tools as you wish) to create images.
Manually copy into Google slides

Activity 7 is a bonus for K-12 educators.

28 of 29

Workshop Badges

If you’d like to earn a DSC badge, email the following to dscommons@uvic.ca�

Screenshot of a briefing document & an Audio summary of the documents in a 2-person podcast format.
Screenshot of the document summary based on who is the intended audience for the summary, and the purpose of the summary (for example meeting notes).
Screenshot of suggested potential research questions to fill those gaps in the three journal articles or explore a related topic.
Screenshot of the summary of short-answer survey responses.

29 of 29

Let’s Explore the Tools Now!

lib.uvic.ca/genai-notebooklm

For questions later:

dscommons@uvic.ca