Extending Interactive Science Exhibits into the Classroom using Anthropomorphized Chatbots and Bloom's Taxonomy
Project Overview
The document examines the transformative role of generative AI chatbots in enhancing science education, particularly through the creation of interactive virtual experiences from public science exhibits. By employing anthropomorphized chatbots, the initiative aims to engage students, especially those from marginalized backgrounds in STEM fields, thereby promoting inclusivity. The integration of Bloom's Taxonomy is highlighted as a means to facilitate personalized learning assessments, allowing for tailored educational interactions. Initial findings indicate that generative AI is capable of producing engaging content and generating relevant questions, which can significantly enrich the learning experience. These insights pave the way for future evaluations and practical applications of AI technology in educational settings, suggesting a promising avenue for improving student engagement and outcomes in science education.
Key Applications
Generative AI chatbots for virtual science exhibits
Context: High school and middle school classrooms, targeting students from marginalized backgrounds in STEM
Implementation: Anthropomorphized chatbots with personalities to engage students and assess understanding using Bloom's Taxonomy.
Outcomes: Increased student engagement, improved accessibility to science education, and the potential for personalized learning experiences.
Challenges: The chatbot's ability to maintain engaging conversations and the complexity of incorporating effective assessment questions.
Implementation Barriers
Technical Barrier
Challenges in ensuring chatbots maintain engaging dialogues and effectively assess students' understanding.
Proposed Solutions: Future evaluations to explore conversational competency and user interface design improvements for better engagement.
Resource Barrier
Limited time and resources for comprehensive field evaluations and effective implementation of chatbot prototypes.
Proposed Solutions: Collaboration with educational institutions and science centers for resource sharing and field testing.
Project Team
Yousuf Golding
Researcher
Contact Information
For information about the paper, please contact the authors.
Authors: Yousuf Golding
Source Publication: View Original PaperLink opens in a new window
Project Contact: Dr. Jianhua Yang
LLM Model Version: gpt-4o-mini-2024-07-18
Analysis Provider: Openai