Design and Development of SLRAI Wizards as an AI-Powered Solution to Enhance Learning Experiences in the Research Process

Abstract

Conducting systematic literature reviews (SLRs) is an essential but demanding task, particularly for students and early-career researchers coping with complex methodologies and expanding bodies of literature. While artificial intelligence (AI) and large language models provide promising assistance, existing tools remain fragmented, difficult to use, and not tailored to the full SLR process. This study introduces SLRAI Wizards, a ChatGPT-based platform designed to guide researchers through planning, conducting, and reporting SLRs using established frameworks such as PRISMA, PRESS, CASP, and MMAT. The platform offers three engagement modes, self-paced, guided, and hybrid, supported by interactive diagrams, embedded tools, and tutorials. A preliminary evaluation was conducted with 41 participants in a two-hour guided online workshop. Survey data indicated strong positive perceptions: participants rated overall satisfaction at M = 4.33 (SD = 0.94) and reported increased confidence in conducting SLRs using AI tools (M = 4.42, SD = 0.64). The tool’s contribution to understanding the SLR process was highly rated (M = 4.67, SD = 0.62). Thematic analysis of open-ended responses highlighted four areas of impact: structured research guidance, efficiency gains, enhanced research skills, and motivational support. Users valued features such as the Screening Wizard, which allowed rapid abstract processing, but also called for clearer tutorials and a more intuitive interface. These findings suggest that SLRAI Wizards can lower entry barriers to SLRs, making them more accessible, rigorous, and engaging for novices. As a formative study, results establish feasibility and inform design refinements, paving the way for larger comparative evaluations across learning pathways.