Work

Effects of self-explanation in an open-ended domain

Year: 2003

Type: conference-paper

Abstract: Self-explanation is used in several intelligent tutoring systems in the domains of Mathematics and Physics to facilitate deep learning. Since these domains are well structured, instructional material to self-explain can be clearly defined. We are interested in investigating whether self-explanation can be used in an open-ended domain. For this purpose, we enhanced KERMIT, an intelligent tutoring system that teaches conceptual database design. The resulting system, KERMIT-SE, supports self-explanation by engaging students in tutorial dialogues when their solutions are erroneous. An evaluation study was conducted in July 2002, to investigate whether students will learn better when self-explaining. The results indicate that self-explanation leads to improved performance in both conceptual and procedural knowledge.

Source: UC Research Repository (University of Canterbury)

Authors: Amali Weerasinghe, Antonija Mitrović

Institution: University of Canterbury

Language: English

Topic: Intelligent Tutoring Systems and Adaptive Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: green

OpenAlex ID: W110644667

FWCI: 0.262

Cites: 16

Cited by: 2

Related to: 10