Thumbnail
Access Restriction
Open

Author Taylor, Eric G. ♦ Ross, Brian H.
Source CiteSeerX
Content type Text
File Format PDF
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Partial Exemplar Classification ♦ Le Mean Learning ♦ Standard Classification ♦ Category Learner ♦ Markman Ross ♦ Natural Classification ♦ Single Task Classification ♦ Within-category Information ♦ Real-world Classification ♦ Important Knowledge ♦ Narrow Condition
Abstract relied on a single task – classification. Classification may not lead to learning some important knowledge that category learners clearly possess, such as within-category information (e.g., Markman & Ross, 2003). However, most studies of classification, including those revealing its shortcomings, are conducted under narrow conditions that may not be representative of natural classification. The goal of this study was to consider a type of learning more like real-world classification and ask: Do these learners acquire knowledge that standard classification fails to promote?
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study