Millis RM, Dyson S, Cannon D. Association of classroom participation and examination performance in a first-year medical school course. Adv Physiol Educ 33: 000–000, 2009; doi:10.1152/advan.00028.2009.—The advent of internet-based delivery of basic medical science lectures may unintentionally lead to decreased classroom attendance and participation, thereby creating a distance learning paradigm...

background: the increased concern for accountability and quality improvement is inducing universities throughout the world to evaluate and control performance. hence, this study was conducted to assess basic science department of sabzevar medical school to improve the quality of the department. methods: this study is a descriptive cross sectional study. we asked faculty members, managers, inter...

INTRODUCTION Changing from a conventional discipline-based, basic science medical school curriculum to an integrated systems-based curriculum, which was graded on overall performance not by discipline, was associated with a highly significant improvement in an externally administered comprehensive exam at the end of the 2-year basic science program. The reason for the improvement was unclear, b...

background and purpose: course-based assessment is a method to gather, analyze, disseminate, and use course data to improve student learning. we assessed the associations between medical students’ scores in basic sciences and general courses in a university in iran and compared these scores with their scores in comprehensive exam. methods: we collected the scores of medical students in their co...

Background and Aim: Researchers believe that emotional intelligence (EI) is a better predictor of a person’s success in life than intelligent quotient. The aim of the present study was to determine the relationship between the EI and academic performance of senior dental students. Materials and Methods: This descriptive cross-sectional study evaluated all senior dental students (n=131) of Tehr...

Many programs learn from data represented as feature vectors. Discuss the strengths and weaknesses of this representation for learning and the assumptions that underlie it in the context of learning. Include, but do not limit yourself to, some discussion of uncertainty, semantics, and relational learning. Focus your discussion more on the representation of the data than on the learning algorith...

Purpose: This document is a compilation of notes generated to prepare for the Basic Qualifying Exam. I have documented some of my solutions so that I may not forget and repeat the frustrations of failing this cursed exam again. Best of luck to anyone using these notes to prepare. Also see Brent Woodhouse's study guide. I do not guarantee accuracy of all the presented solutions. This document is...