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Toto, Roxanne; Colledge, Thomas; Frederick, David; Pung, Wik Hung – Advances in Engineering Education, 2014
Reflective of current trends in industry, engineering design professionals are expected to have knowledge of 3D modeling software. Responding to this need, engineering curricula seek to effectively prepare students for the workforce by requiring instruction in the use of 3D parametric solid modeling. Recent literature contains many examples that…
Descriptors: Engineering, Engineering Education, Computer Software, College Curriculum
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Rudner, Lawrence M.; Guo, Fanmin – Journal of Applied Testing Technology, 2011
This study investigates measurement decision theory (MDT) as an underlying model for computer adaptive testing when the goal is to classify examinees into one of a finite number of groups. The first analysis compares MDT with a popular item response theory model and finds little difference in terms of the percentage of correct classifications. The…
Descriptors: Adaptive Testing, Instructional Systems, Item Response Theory, Computer Assisted Testing
Martinez, Michael E. – 1998
The taxonomy presented in this paper lends structure to the range of tasks or problems possible within an interactive graphical medium. Some 70 items from a testing project were the basis for forming the categories described in the taxonomy. Items were drawn from science and technology domains. The categorical scheme was refined iteratively by two…
Descriptors: Achievement, Classification, Computer Assisted Design, Computer Graphics
Jones, Mark K.; And Others – Educational Technology, 1990
Presents a knowledge representation model that was designed for instructional decision making. Topics discussed include classification models for instructional design; artificial intelligence; semantic networks; natural language; and data models, including network and hierarchical models. An example is given of knowledge analysis for a secondary…
Descriptors: Artificial Intelligence, Classification, Cognitive Structures, Computer Assisted Design