This tutorial demonstrates machine learning solutions to enhance abstract screening efficiency in systematic reviews, suggesting better accuracy in learning analytics.
Key Points
The aim is to teach researchers how to use machine learning to improve abstract screening in systematic reviews.
Provided a step-by-step guide for implementing ASReview and ChatGPT.
Described data preparation and ASReview setup with its active learning features.
Showed how to optimize ChatGPT prompts and parameters in Python's Google Colab.
ASReview significantly reduced manual workloads while achieving high recall rates.
ChatGPT improved the precision of screening with optimized prompt design.
Performance metrics indicated strengths in both tools for streamlined abstract screening.