A methodology for evaluating intelligent tutoring systems
Year: 2000
Type: dissertation
Abstract: This dissertation proposes a generic methodology for evaluating intelligent tutoring systems (ITSs), \nand applies it to the evaluation of the SQL-Tutor, an ITS for the database language SQL. \nAn examination of the historical development, theory and architecture of intelligent tutoring \nsystems, as well as the theory, architecture and behaviour of the SQL-Tutor sets the context for this \nstudy. The characteristics and criteria for evaluating computer-aided instruction (CAl) systems are \nconsidered as a background to an in-depth investigation of the characteristics and criteria \nappropriate for evaluating ITSs. These criteria are categorised along internal and external \ndimensions with the internal dimension focusing on the intrinsic features and behavioural aspects \nof ITSs, and the external dimension focusing on its educational impact. Several issues surrounding \nthe evaluation of ITSs namely, approaches, methods, techniques and principles are examined, and \nintegrated within a framework for assessing the added value of ITS technology for instructional \npurposes.
Author: Indira Padayachee
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
SDG: Quality education
Open Access status: green
Funder: National Research Foundation
OpenAlex ID: W1489533915