Literature reviews play a crucial role in academic research. They provide a detailed overview of what is already known about a specific topic, helping to identify gaps in knowledge and areas for further exploration.
AI can significantly improve the efficiency and depth of your literature reviews. Don't forget to check with your lecturer to see if the use of AI platforms is permitted in your coursework. It is also important to refer to page 6 of the IADT Academic Integrity Policy which provides information on the ethical use of AI. A list of AI platforms is available here. Useful AI tools for preparing literature reviews include Connected Papers and Elicit. Prioritise searching of IADT Library's online and print collections however to ensure the comprehensive retrieval of high-quality academic information.
It's important to remember that while AI can be a valuable resource, it should not replace your own critical thinking and analysis. Your independent work is essential for crafting a meaningful literature review. Use AI to enhance not replace your research and preparation process, ensuring that your unique insights and interpretations shine through in your final work.
AI tools can significantly accelerate the literature review process by automating several time-consuming tasks, including:
AI can also improve the organisation of literature in several ways:
Limitations
By being aware of these limitations and following best practices, you can ensure that your literature review is comprehensive, accurate, and reliable.
Andy Stapleton (2024) What Is A Literature Review? Youtube. https://youtu.be/oopE9DfRuwQ?si=EIyTmhF9bpyJDrTr
This sample prompt demonstrates how you can use AI platforms to support you with searching IADT's academic databases for your thesis.
Example
Please provide key words and search terms to help me search IADT academic databases on my thesis topic "Boosting User Experience in Mobile Apps with Gamification."
Answer
To enhance your searches of IADT academic database for your thesis on "Boosting User Experience in Mobile Apps with Gamification," consider using the following keywords and search strings:
Key Search Terms
Gamification
User Experience (UX)
Mobile Applications
User Engagement
User Retention
Game Design Elements
Behavioral Psychology in Apps
Motivation and Gamification
Gamified User Interfaces
Mobile App Loyalty
Gamification Strategies
App Engagement Metrics
Gamification Case Studies
Psychological Needs in Gamification
Gamification Best Practices
Suggested Search Strings
Gamification mobile apps user experience
User engagement strategies gamification mobile applications
Gamification techniques user retention mobile apps
Behavioral psychology gamification user motivation
Game design elements enhancing user experience mobile applications
Gamification impact user loyalty mobile applications
Psychological needs gamification user engagement
Case studies gamification mobile app success
Gamified interfaces user satisfaction mobile apps
Best practices gamification mobile user experience