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Yarbro, Jeffrey T.; Olney, Andrew M. – Grantee Submission, 2021
This paper explores the concept of dynamically generating definitions using a deep-learning model. We do this by creating a dataset that contains definition entries and contexts associated with each definition. We then fine-tune a GPT-2 based model on the dataset to allow the model to generate contextual definitions. We evaluate our model with…
Descriptors: Definitions, Learning Processes, Models, Context Effect
Barrett, Andrew J.; And Others – 1990
The Center for Interactive Technology, Applications, and Research at the College of Engineering of the University of South Florida (Tampa) has developed objective and descriptive evaluation models to assist in determining the educational potential of computer and video courseware. The computer-based courseware evaluation model and the video-based…
Descriptors: Computer Assisted Instruction, Computer Software, Computer Software Evaluation, Content Validity
Flores, Kathryn Younger – 1995
This paper presents preliminary, but statistically significant, findings from a study that compares two methods of measuring instructional effectiveness: global evaluation by experts and systematic observation using the SCRIBE Ob.2 software developed at the University of Texas at Austin. Hierarchical instruction of a performance skill…
Descriptors: Classroom Observation Techniques, College Faculty, Comparative Analysis, Computer Assisted Testing
Lunz, Mary E.; And Others – 1989
A method for understanding and controlling the multiple facets of an oral examination (OE) or other judge-intermediated examination is presented and illustrated. This study focused on determining the extent to which the facets model (FM) analysis constructs meaningful variables for each facet of an OE involving protocols, examiners, and…
Descriptors: Computer Software, Difficulty Level, Evaluators, Examiners