This article summarizes six conceptual dimensions that underlie common assumptions about what counts as an adequate category of psychiatric disorder. These dimensions are 1) causalism-descriptivism, 2) essentialism-nominalism, 3) objectivism-evaluativism, 4) internalism-externalism, 5) entities-agents, and 6) categories-continua. Four different versions of the medical model are described and co...

Intelligent tutors have the potential to be used in supporting learning from collaboration, but there are few results demonstrating their positive effects in this domain. One of the main challenges in automated support for collaboration is the machine classification of dialogue, giving the system an ability to know when and how to intervene. We have developed an automated detector of conceptual...

Collaborative activities, like peer tutoring, can be beneficial for student learning, but only when students are supported in interacting effectively. Constructing intelligent tutors for collaborating students may be an improvement over fixed forms of support that do not adapt to student behaviors. We have developed an intelligent tutor to improve the help that peer tutors give to peer tutees b...

We applied a mixed-method research design to investigate the patterns of reasoning used by novice undergraduate chemistry students to classify chemical substances as elements, compounds, or mixtures based on their particulate representations. We were interested in the identification of the representational features that students use to build a classification system, and in the characterization ...

Text clustering and classification are two main tasks of text mining. Feature selection plays the key role in the quality of the clustering and classification results. Although word-based features such as term frequency-inverse document frequency (TF-IDF) vectors have been widely used in different applications, their shortcoming in capturing semantic concepts of text motivated researches to use...

Multi-level conceptual modelling addresses the representation of subject domains dealing explicitly with multiple classification levels. Despite the recent advances in multi-level modelling techniques, we believe that many challenges in multi-level conceptual modelling still stem from the lack of theory that: (i) formally characterizes the nature of classification levels, and (ii) precisely def...