This research's purpose was to contrast the representations resulting from learning of the same categories by either classifying instances or inferring instance features. Prior inference learning research, particularly T. Yamauchi and A. B. Markman (1998), has suggested that feature inference learning fosters prototype representation, whereas…

Through the use of a new serial naming task, the authors investigated implicit learning of repeating sequences of abstract semantic categories. Participants named objects (e.g., table, shirt) appearing in random order. Unbeknownst to them, the semantic categories of the objects (e.g., furniture, clothing) followed a repeating sequence.…

We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…

A study of pre-service teachers' use of reflective journaling was carried out. Participants were teachers in a new postgraduate diploma in education programme in the Cayman Islands. The aim of the study was two-fold. Firstly, to determine (through an analysis of the participants' reflective journals) the types of reflection in which they engaged…

In this article we describe the emerging area of text classification research focused on the problem of collaborative learning process analysis both from a broad perspective and more specifically in terms of a publicly available tool set called TagHelper tools. Analyzing the variety of pedagogically valuable facets of learners' interactions is a…

The objective of this article is to develop baseline models showing principal approaches to category learning. All models are based on a common memory array but vary in memory access and decision processes useful for interpretation of empirical phenomena. The main models discussed are exemplar, prototype, and feature. (JAZ)

Those who have faith in behavioral objectives are overlooking some very serious problems resulting from such faith. (Authors/CB)

A connectionist model of category learning, attention learning covering map (ALCOVE), is described. The application of the model across a variety of category learning tasks is reviewed, and it is compared with other models. ALCOVE is shown to be superior to double-node and configural cue models. (SLD)

The Artificial Grammar Learning task has been used extensively to assess individuals' implicit learning capabilities. Previous work suggests that participants implicitly acquire rule-based knowledge as well as exemplar-specific knowledge in this task. This study investigated whether exemplar-specific knowledge acquired in this task is based on the…

SUSTAIN (Supervised and Unsupervised STratified Adaptive Incremental Network) is a model of how humans learn categories from examples. SUSTAIN initially assumes a simple category structure. If simple solutions prove inadequate and SUSTAIN is confronted with a surprising event (e.g., it is told that a bat is a mammal instead of a bird), SUSTAIN…

This article reviews a range of literature of computer games and learning theories and attempts to establish a link between them by proposing a typology of games which we use as a new usability measure for the development of guidelines for game-based learning. First, we examine game literature in order to understand the key elements that…

An analysis of student verbatim responses in the Student Outcomes Survey provides suggestions for how the vocational education and training (VET) system could be improved. Eight major domains are discussed: course relevance and design; staff attributes and behaviours; teaching and learning practices; access to courses; facilities and services;…

IN DEMONSTRATING THE FACILITATIVE EFFECT OF AVAILABLE PAST INSTANCES IN CONCEPT LEARNING, IT WAS PREDICTED THAT AVAILABILITY WOULD BE FACILITATED WHEN SUBJECTS WERE PROVIDED WITH A CORRECT RECORD (CR) OF CLASSIFICATION. IT WAS ALSO PREDICTED THAT SUBJECTS MORE CAPABLE OF RECALLING THE CORRECT CLASSIFICATION OF PAST INSTANCES WOULD PROFIT LESS FROM…

Functional relationships among domains of learning and a process of diagramming relationships between instructionally significant behaviors are discussed. (RAO)