Quantifying Perception-Based Student Success with Generative AI: An Exploratory Monte Carlo Simulation

1. 1Conduct a PRISMA-informed structured literature search using Scopus to identify relevant studies on GenAI in education
2. 2Develop a Monte Carlo simulation framework to model student success outcomes
3. 3Run simulations to quantify perception-based student success in the context of GenAI use
4. 4Analyze results to identify key factors influencing student success with GenAI
5. 5Apply findings to inform the development of GenAI-based educational tools and interventions

Educators, AI researchers, and edtech professionals can benefit from this study to understand the impact of generative AI on student success and inform their teaching practices

💡 Monte Carlo simulations can be used to model and quantify the complex relationships between GenAI use and student success outcomes

💡 Quantify student success with GenAI using Monte Carlo simulations! #AIinEd #EdTech