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AI Chatbots as Multi-Role Pedagogical Agents: Transforming Engagement in CS Education

Project Overview

The document explores the integration of generative AI, specifically through AI-powered chatbots, in computer science education to tackle issues like low student engagement, high student-to-teacher ratios, and the lack of personalized feedback. It outlines a learning environment featuring four distinct chatbot roles: the Instructor Bot, designed to deliver educational content; the Social Companion Bot, which fosters peer interaction; the Career Advising Bot, offering guidance on career pathways; and the Emotional Supporter Bot, aimed at providing emotional assistance to students. Utilizing advanced language models such as GPT-3, these chatbots enhance personalized support, promote inquiry-based learning, and significantly improve the overall educational experience. Key findings indicate that the implementation of these chatbots not only increases student motivation and engagement but also helps in creating a more responsive and interactive learning environment, ultimately leading to better educational outcomes.

Key Applications

Multi-role chatbots (Instructor Bot, Social Companion Bot, Career Advising Bot, Emotional Supporter Bot)

Context: Computer Science education for postgraduate students

Implementation: Integrated chatbot system with distinct roles for personalized instruction and support

Outcomes: Improved student engagement, motivation, and personalized learning experiences

Challenges: Quality of interactions and acceptance by students

Implementation Barriers

Technical Barrier

Quality of chatbot interactions is crucial for their acceptance and impact on learning.

Proposed Solutions: Optimize design and role allocation of chatbots to enhance effectiveness.

Project Team

Cassie Chen Cao

Researcher

Zijian Ding

Researcher

Jionghao Lin

Researcher

Frank Hopfgartner

Researcher

Contact Information

For information about the paper, please contact the authors.

Authors: Cassie Chen Cao, Zijian Ding, Jionghao Lin, Frank Hopfgartner

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

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