A computer-supported cooperative learning system with multiagent intelligence

In this paper, we describe an innovative infrastructure to support student participation and collaboration and help the instructor manage large or distance classrooms using multiagent system intelligence. The system, called I-MINDS, has a host of intelligent agents for each classroom: a teacher agent ranks and categorizes real-time questions from the students and collects statistics on student participation, a number of group agents that each maintains a collaborative group and facilitate student discussions, and a student agent for each student that profiles a student and finds compatible students to form the student's "buddy group". Each agent is capable of machine learning, thus improving its performance and services over time. These agents also interact and collaborate among themselves to exchange information and form coalitions dynamically to better serve the users. We have pilot-tested I-MINDS in GIS lectures, deployed IMINDS in an introductory computer science co...

• Type: Conference
• Year: 2006
• Where: ATAL
• Authors: Leen-Kiat Soh, Nobel Khandaker, Xuliu Liu, Hong Jiang
• Keywords: ATAL 2006, Intelligent Agents, Student, Student Participation