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Conducting SoTL Literature Reviews

Conducting a literature review is essential to any SoTL project, but it can be challenging to know where to begin. This collection offers practical tools and strategies to help you search for, organize, and engage with SoTL literature—whether you're using traditional methods, AI tools, or both.

Updated May 2026
Jess Taggart headshot
Assistant Director & Assistant Professor
Office of the Executive Vice President and Provost
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Lindsay Wheeler headshot
Senior Associate Director & Associate Professor
Office of the Executive Vice President and Provost
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Finding SoTL Research

Elon University Center for Engaged Learning

This reference guide by Lindsay McNiff and Lauren Hays highlights what makes SoTL literature searching different from disciplinary literature searching and provides practical tips for finding SoTL research and staying current.

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Jess Taggart, Lindsay Wheeler

This guide is an excellent introduction to finding SoTL research, full of practical tips that make what can be a daunting endeavor manageable. The blend of text and video adds to the usability of the guide.

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Finding SoTL Research

Elon University Center for Engaged Learning
Open resource

In the sections that follow, you will find information about what is unique about SoTL literature. Then, you will find suggestions for how to search for SoTL literature most effectively, including tips for using Google Scholar and subject databases, identifying keywords, researching grey literature on the open web, and staying current.

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Education (K-12 and Higher Education) Research Guide

University of Virginia Library

The University of Virginia Library's Education (K-12 and Higher Education) Research Guide brings together a list of databases focused on higher education, along with guidance on how to access desired resources.

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Jess Taggart, Lindsay Wheeler

Interested in exploring the SoTL literature but have no idea where to start? This Education Research Guide connects you to high-quality, relevant sources. It’s a page worth bookmarking (and finding at your own institution if you’re from outside the University of Virginia)!

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Education research often overlaps with the social sciences, psychology, and child development. Because no single database covers everything, a strong search strategy means looking in at least three different databases. 

This page highlights the best places to start.

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Conducting a Literature Search

Jessica Taggart

This worksheet, developed for the University of Virginia’s SoTL Scholars program, walks you through searching for SoTL literature, from selecting relevant journals and keywords to identifying relevant articles–with and without AI.

Headshot of Jess TaggartHeadshot of Lindsay Wheeler
Jess Taggart, Lindsay Wheeler

If you are looking for structured guidance on how to carry out a SoTL literature search for the first time, this worksheet is for you! Not only can it help you organize your thoughts and process, but it also provides multiple ways to identify relevant literature.

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Once you identify your topic and preliminary research question(s), your next step is to explore the literature related to your research question(s). A literature search will help you understand how your study fits into what is already known about this topic and help you refine your research questions. This worksheet will help you begin to systematically explore the literature.

File
1+ hours, but can be completed in chunks as short as 5 minutes
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Starter Prompts for an AI-Enhanced Literature Review Process

Heidi Nobles and Jessica Taggart

Drs. Heidi Nobles and Jessica Taggart provide a collection of prompts to get you started in using general generative AI tools (e.g., ChatGPT, Claude, and Gemini) to enhance your SoTL literature review process.

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Jess Taggart, Lindsay Wheeler

You should never trust generative AI to do a full literature review and write-up for you, but there are ways that—when used thoughtfully and with extensive human oversight—these tools can support and enhance your literature review process. Consider this resource an invitation to explore the possibilities and potential!

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To Avoid AI Hallucinations, Try Consensus

Jenn Huck

In this guest post, Jenn Huck shares Consensus as a tool for academic research that reduces hallucinations compared to general-purpose AI tools.

Headshot of Jess TaggartHeadshot of Lindsay Wheeler
Jess Taggart, Lindsay Wheeler

I appreciate how this post not only summarizes Consensus and its benefits and limitations, but also highlights specific uses of interest to researchers, such as Deep Search Mode, connections to Zotero, citation mapping, and integration into workflows. Consensus can serve as a valuable tool to help orient you to new areas of research, especially if you are embarking on a SoTL project for the first time.

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You may have heard that generative artificial intelligence (AI) can sometimes “hallucinate” citations to scientific articles. In 2025, for example, a report from the presidential Make America Healthy Again Commission referred to made-up research papers, leading the White House to remove the report and later release a corrected version. Later that year, The Independent, a Canadian newspaper, revealed that a government-commissioned Deloitte health care report contained citations pulled from academic papers that did not exist and also credited real scientists with articles they hadn’t worked on.

If you plan to use AI to assist with your research, I want to share a new tool with you that will help you avoid citing hallucinated articles.

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