Domain modelling for advanced learning environments: the BEAR Assessment System Software. Issue 10 (26th November 2019)

• Record Type: Journal Article
• Authors: Wilson, Mark; Scalise, Kathleen; Gochyyev, Perman
• Is Part Of: Educational psychology. Volume 39:Issue 10(2019)
• Page Start: 1199
• Page End: 1217
• Publication Date: 2019-11-26
• Subjects: Assessment theory -- classroom environment -- tutoring -- computer assisted learning -- online learning; Educational psychology -- Periodicals; 370.15
• DOI: 10.1080/01443410.2018.1481934
• Languages: English
• ISSNs: 0144-3410

Abstract

Abstract: In this article, we describe a software system for assessment development in online learning environments in contexts where there are robust links to cognitive modelling including domain and student modelling. BEAR Assessment System Software (BASS) establishes both a theoretical basis for the domain modelling logic, and offers tools for delivery, scoring, reporting, and use of learning evidence. BASS employs the UC Berkeley BEAR Assessment System, which is a four-part approach to modelling that involves a combined domain and student model, in this case for formative learning settings. In the article, we first briefly present an expanded view of learning environments useful for intelligent learning environments, then present background to the development of BASS, elaborate on its approach to construct mapping of the domain and student models, and report findings from studies based on research questions about its use in example projects.