Using AI As Your Effective Research Sidekick

We’ve all heard it, and probably even told others: “Do your own research.” But when it comes down to it, where should you start? How do you know you’re getting information that’s objective, or if you’re just stuck in an echo chamber?

Together, let’s break down the essential components of conducting research, including identifying credible sources, collecting relevant data, and transforming insights into actionable data.

Specifically – how can we use AI’s hottest tool, NotebookLM to collect and make sense of data in a variety of ways.

So far, we talked about using AI as your instructional design sidekick, and your image sidekick – now it’s time to discuss it being your research sidekick!

We will all walk away with an understanding of different research methodologies, how to frame research questions, and practical tips for incorporating research into their L&D initiatives.

Whether you’re new to research or looking to sharpen your skills, this coffee chat will give you the tools to collect, analyze, and apply data effectively.

This coffee chat will cover the following:

Key Research Steps:

• Framing Research Questions: How to develop questions that guide purposeful inquiry.
• Selecting Research Methodologies: Qualitative vs. quantitative research, case studies, and surveys.
• Gathering Data: Identifying credible sources (e.g., academic journals, industry reports, and peer-reviewed articles) and tools for collecting data.
• Analyzing Data: Techniques for analyzing research findings and connecting data to L&D goals.

And how AI can help in areas like:

• Ensuring Data Accuracy and Relevance: Find out how to use AI tools to quickly assess the accuracy of information and filter for sources that directly support your research objectives.
• Aligning with Your Goals: Discover how to set parameters within AI tools to find data that fits your specific research needs.
• Evaluating Methodology and Sample Size: Learn how AI can assist you in identifying studies with sound methodologies and sufficient sample sizes to support credible findings.
• Assessing for Biases: Explore ways to use AI to uncover potential biases in studies, especially when examining funding sources or author affiliations.
• Understanding Validity and Consistency: We’ll break down key concepts like construct validity, content validity, and external validity, and show how AI can help you assess these aspects in seconds.
• Checking Source Credibility: Dive into tips for using AI to verify the credibility of research sources and funding transparency.

Can’t be there live? We’ve got your back! 

Simply by registering to attend this “Learn Something New” workshop, you will receive the following:

✅ Follow-up email with resources and extra goodies

✅ Copy of the video recording

✅ Copy of the chatbox transcription

✅ Copy of the full session transcript