Open AccessProceedings Article
An Intelligent Tutoring System for Entity Relationship Modelling
Pramuditha Suraweera,Antonija Mitrovic +1 more
- Vol. 14, Iss: 3, pp 375-417
TLDR
KERMIT is a problem-solving environment for the university-level students, in which they can practise conceptual database design using the Entity-Relationship data model and Constraint-Based Modelling to model the domain knowledge and generate student models.Abstract:
The paper presents KERMIT, a Knowledge-based Entity Relationship Modelling Intelligent Tutor. KERMIT is a problem-solving environment for the university-level students, in which they can practise conceptual database design using the Entity-Relationship data model. KERMIT uses Constraint-Based Modelling (CBM) to model the domain knowledge and generate student models. We have used CBM previously in tutors that teach SQL and English punctuation rules. The research presented in this paper is significant because we show that CBM can be used to support students learning design tasks, which are very different from domains we dealt with in earlier tutors. The paper describes the system's architecture and functionality. The system observes students' actions and adapts to their knowledge and learning abilities. KERMIT has been evaluated in the context of genuine teaching activities. We present the results of two evaluation studies with students taking database courses, which show that KERMIT is an effective system. The students have enjoyed the system's adaptability and found it a valuable asset to their learning.read more
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References
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Book
The entity-relationship model: toward a unified view of data
TL;DR: A data model, called the entity-relationship model, is proposed that incorporates some of the important semantic information about the real world and can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model.
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The Search for Methods of Group Instruction as Effective as One-to-One Tutoring.
TL;DR: In this article, the authors compared student learning under three conditions of instruction: 1. Conventional, 2. Mastery Learning, and 3. Tutoring, and concluded that the need for corrective work under tutoring is very small.
Journal ArticleDOI
The 2 Sigma Problem: The Search for Methods of Group Instruction as Effective as One-to-One Tutoring:
TL;DR: In this article, the authors compared student learning under three conditions of instruction: 1. Conventional, 2. Mastery Learning, and 3. Tutoring, and concluded that the need for corrective work under tutoring is very small.