Assessing structural similarity of graphs
Pathfinder associative networks
A structural assessment of classroom learning
Pathfinder associative networks
Implementing Conceptual Graphs in a RDBMS
ICCS '93 Proceedings on Conceptual Graphs for Knowledge Representation
A conceptual map model for developing intelligent tutoring systems
Computers & Education
A Fast Image Retrieval Algorithm with Automatically Extracted Discriminant Features
CBAIVL '99 Proceedings of the IEEE Workshop on Content-Based Access of Image and Video Libraries
Real-Time Quiz Functions for Dynamic Group Guidance in Distance Learning Systems
WISE '00 Proceedings of the First International Conference on Web Information Systems Engineering (WISE'00)-Volume 2 - Volume 2
Experiencing CORAL: design and implementation of distantcooperative learning
IEEE Transactions on Education
A tutoring strategy supporting system for distance learning on computer networks
IEEE Transactions on Education
Cooperative and progressive design experience for embedded systems
IEEE Transactions on Education
Dynamic-Grouping bandwidth reservation scheme for multimedia wireless networks
IEEE Journal on Selected Areas in Communications
Applying the genetic encoded conceptual graph to grouping learning
Expert Systems with Applications: An International Journal
Applying the adaptive learning material producing strategy to group learning
Edutainment'06 Proceedings of the First international conference on Technologies for E-Learning and Digital Entertainment
Adaptive learning diagnosis mechanisms for e-learning
ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
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In large classrooms, teachers rarely have time to monitor the status of individual students. As a result, students who learn quickly thoroughly grasp the content, while students who learn slowly fall further and further behind until, in some cases, the education system gives up on them completely. Teachers thus need a system to help them obtain the status of all students and manage particular students. This study proposes a novel learning process based on the conceptual graph, a knowledge representation tool. This study adopts cooperative learning to let students conduct further studies through interaction with each other. The proposed strategy acquires and measures the knowledge structure of students. According to the knowledge structure of individual students, this study proposes dynamic-grouping and partial-regrouping to identify suitable partners for students. The proposed strategy achieves the best complementary groups for further learning stages. Evaluation results indicate that the proposed method significantly improves the learning achievement of all learners. Additionally, the questionnaire results indicate that learners respond positively to the proposed grouping strategy.