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Using AI to Automate the Literature Review Process in Education: A Topic Brief
Resource type
Report
Authors/contributors
- Haßler, Björn (Author)
- Hassan, Syed Mustafa (Author)
- Klune, Christopher (Author)
- Mansour, Hassan (Author)
- Friese, Laila (Author)
Title
Using AI to Automate the Literature Review Process in Education: A Topic Brief
Abstract
Systematic literature reviews are often conducted manually in many research organisations. This topic brief explores the use of AI to automate the literature review process in the field of EdTech in order to improve the speed and efficiency of creating literature reviews across the sector.
The topic brief is guided by the following questions:
What tools are available for organisations and projects to use to automate evidence reviews?
How appropriate are existing tools? Are they easy to use? Do they have licensing or cost barriers? How advanced are these AI tools?
What tools are other organisations using to present the best evidence quickly?
Is there value in building a bespoke AI tool to help identify, review, and synthesise evidence for literature reviews on education in low- and middle-income countries (LMICs)?
What are the pros and cons of building a bespoke AI tool focusing on education in LMIC versus using an already existing commercial product? What are the cost implications of the two options?
Report Number
183
Report Type
Helpdesk Response
Institution
EdTech Hub
Date
2024
Language
en
Call Number
edtechhub.1003
Rights
Creative Commons Attribution 4.0 International
Extra
DOI: 10.53832/edtechhub.1003
ZenodoArchiveID: 10529049
ZenodoArchiveConcept: 10529048
Citation
Haßler, B., Hassan, S. M., Klune, C., Mansour, H., & Friese, L. (2024). Using AI to Automate the Literature Review Process in Education: A Topic Brief (Helpdesk Response No. 183). EdTech Hub. https://doi.org/10.53832/edtechhub.1003
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