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Dempsey, John V.; Driscoll, Marcy P. – 1993
This study examined the relationship between discrimination error (determined by content analysis and tryout data) and confidence of response (determined by self report). Subjects were 63 undergraduate students enrolled in a biology class for nonmajors who received classroom expository information and read a text on the topic before they completed…
Descriptors: Biology, Computer Assisted Instruction, Confidence Testing, Discrimination Learning
Khalil, Mohammed K.; Paas, Fred; Johnson, Tristan E.; Su, Yung K.; Payer, Andrew F. – Anatomical Sciences Education, 2008
This research is an effort to best utilize the interactive anatomical images for instructional purposes based on cognitive load theory. Three studies explored the differential effects of three computer-based instructional strategies that use anatomical cross-sections to enhance the interpretation of radiological images. These strategies include:…
Descriptors: Educational Strategies, Control Groups, Medical Students, Cognitive Style
Coleman, Iain P. L.; Watts, Adam S. – Bioscience Education e-Journal, 2007
Pharmacology is taught on a dedicated module for nurse prescribers who have a limited physical science background. To facilitate learning a problem-based approach was adopted. However, to enhance students' knowledge of drug action a PharmaCALogy software package from the British Pharmacological Society was used. Students were alternately given a…
Descriptors: Nurses, Prior Learning, Pharmacology, Computer Software
Peer reviewedDempsey, John V.; And Others – Journal of Research on Computing in Education, 1993
Describes a study of undergraduates in a biology course for nonmajors that examined the effects of four methods of immediate corrective feedback during computer-based instruction (CBI). The relationship between types of corrective feedback and types of errors made by learners during CBI and during a later retention test is also examined. (33…
Descriptors: Biology, Computer Assisted Instruction, Error Patterns, Feedback

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