TY - CHAP
T1 - Enhancing Project- Based Learning With a GenAI Tool Based on Retrieval
T2 - Augmented Generation and Knowledge Graphs
AU - Gustafson, Jerry Ryan David
AU - Jhajj, Gaganpreet
AU - Zhang, Xiaokun
AU - Lin, Fuhua Oscar
N1 - Publisher Copyright:
© 2025 by IGI Global Scientific Publishing. All rights reserved.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - This chapter presents a novel GenAI tool, called PBL Support Chatbot, designed to support project- based learning (PBL) by integrating retrieval- augmented generation (RAG) and knowledge graphs (KGs). The aim is to address common challenges in PBL, such as project complexity and curriculum alignment. The tool provides students with real- time, adaptive support through a chatbot that assists in navigating PBL tasks. To illustrate its application, the authors introduce a scenario involving an introductory computer programming course where students develop a text- based adventure game. By offering personalized guidance, immediate feedback, and accurate answers to student inquiries, the tool aims to enhance critical thinking, learning outcomes, knowledge application, and student engagement in PBL environments. The initial prototype demonstrates the potential to improve the PBL learning experience. This underscores the capability of using RAG to create a dynamic, interactive learning environment that aligns with students’ individual learning paths and educational goals.
AB - This chapter presents a novel GenAI tool, called PBL Support Chatbot, designed to support project- based learning (PBL) by integrating retrieval- augmented generation (RAG) and knowledge graphs (KGs). The aim is to address common challenges in PBL, such as project complexity and curriculum alignment. The tool provides students with real- time, adaptive support through a chatbot that assists in navigating PBL tasks. To illustrate its application, the authors introduce a scenario involving an introductory computer programming course where students develop a text- based adventure game. By offering personalized guidance, immediate feedback, and accurate answers to student inquiries, the tool aims to enhance critical thinking, learning outcomes, knowledge application, and student engagement in PBL environments. The initial prototype demonstrates the potential to improve the PBL learning experience. This underscores the capability of using RAG to create a dynamic, interactive learning environment that aligns with students’ individual learning paths and educational goals.
UR - https://www.scopus.com/pages/publications/105009559104
U2 - 10.4018/979-8-3693-5443-8.ch006
DO - 10.4018/979-8-3693-5443-8.ch006
M3 - Chapter
AN - SCOPUS:105009559104
SN - 9798369354438
SP - 161
EP - 194
BT - AI Applications and Strategies in Teacher Education
ER -