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Pramuditha Suraweera
Researcher at University of Canterbury
Publications - 25
Citations - 1096
Pramuditha Suraweera is an academic researcher from University of Canterbury. The author has contributed to research in topics: Domain (software engineering) & Constraint (information theory). The author has an hindex of 15, co-authored 25 publications receiving 1063 citations. Previous affiliations of Pramuditha Suraweera include Monash University, Clayton campus & Monash University.
Papers
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Journal ArticleDOI
Intelligent Tutors for All: The Constraint-Based Approach
TL;DR: This paper presents a new type of intelligent tutoring systems, called constraint-based tutors, which have been thoroughly evaluated and proven to achieve significant learning gains.
Proceedings Article
An Intelligent Tutoring System for Entity Relationship Modelling
TL;DR: 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.
Book ChapterDOI
KERMIT: A Constraint-Based Tutor for Database Modeling
TL;DR: The results of an evaluation study with students taking a database course show that KERMIT is an effective system, and the students enjoyed the system's adaptability and found it a valuable asset to their learning.
Book ChapterDOI
Constraint-Based Tutors: A Success Story
TL;DR: Constraint-based student modeling (CBM) as mentioned in this paper is a new approach, which has been used successfully in three tutors developed in a group of researchers, and it overcomes many problems that other student modelling approaches suffer from.
Journal Article
DB-Suite: Experiences with Three Intelligent, Web-Based Database Tutors.
TL;DR: This paper presents the experiences with three Web-based intelligent tutoring systems in the area of databases, SQL-Tutor teaches the SQL query language, NORMIT is a data normalization tutor, and KERMIT teaches conceptual database modelling using the Entity-Relationship data model.