Comparing the Impact of Pedagogy-Informed Custom and General-Purpose GAI Chatbots on Students' Science Problem-Solving Processes and Performance Using Heterogeneous Interaction Network Analysis

1. 1Design custom GAI chatbots informed by pedagogical principles to facilitate students' science problem solving
2. 2Implement heterogeneous interaction network analysis to measure the impact of custom and general-purpose chatbots on students' problem-solving processes and performance
3. 3Compare the effectiveness of custom and general-purpose chatbots in supporting students' science problem solving
4. 4Analyze the results to identify areas for improvement in chatbot design and implementation

Educators and AI researchers can benefit from understanding how custom GAI chatbots can be designed to support science education, and how their impact can be measured using heterogeneous interaction network analysis

💡 Custom GAI chatbots designed with pedagogical principles can lead to better science problem-solving outcomes for students

🤖 Custom GAI chatbots outperform general-purpose chatbots in supporting students' science problem solving! 📚