Daniel J. Bender
University of the Pacific (United States)
9 Papers
3 Citations
Daniel J. Bender is an academic researcher from University of the Pacific (United States). The author has contributed to research in topics: Health care & Active learning. The author has an hindex of 5, co-authored 7 publications.
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Papers
Online learning during COVID-19 produced equivalent or better student course performance as compared with pre-pandemic: empirical evidence from a school-wide comparative study.
TL;DR: In this paper, a comparative study examined students' perceived effectiveness of online courses during the COVID-19 pandemic and empirically evaluated the impact of online learning on students' course performance.
An Overview of Case-Based and Problem-Based Learning Methodologies for Dental Education
TL;DR: The major characteristics of each approach are reviewed, each sitsuates each in adult learning theory, and the advantages of case-based learning in the development of a multidisciplinary, integrated predoctoral dental curriculum are discussed.
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A case study on development of an integrated, multidisciplinary dental curriculum.
TL;DR: This case study describes the process of curricular reform at one school designed to move from a traditional siloed curriculum to one that uses case-based, integrated multidisciplinary courses to improve teaching and learning.
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Patient preference for a racially or gender-concordant student dentist.
TL;DR: The findings suggest that the racial concordance hypothesis may not apply to choosing a dentist and thus may not be as strong an argument to justify efforts to increase diversity in dental schools as previously thought.
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Evaluating outcomes of computer-based classroom testing: Student acceptance and impact on learning and exam performance.
Meixun Zheng,Daniel J. Bender +1 more
TL;DR: ExamSoft promoted learning in the first program year, primarily through timely and rich feedback on examination performance, and Regression analyses showed that perceived ease of use and perceived usefulness of ExamSoft significantly predicted student acceptance.
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