BACKGROUND The Dundee Ready Educational Environment Measure (DREEM) is widely used to assess the educational environment in health professional education programs. A number of authors have identified issues with the psychometric properties of the DREEM. Part 1 of this series of papers presented the quantitative data obtained from the DREEM in the context of an Australian osteopathy program. The...

INTRODUCTION The undergraduate curricula of medical schools in King Abdul Aziz University, Saudi Arabia, Umm Al-Qura University, Saudi Arabia and Sana'a University, Republic of Yemen are traditional, like most of the medical schools in the Middle East region. The curriculum in Dundee University Medical School, UK, claims to follow the prescriptions of the UK General Medical Council to be outcom...

Objectives To examine the perception of educational environment among clinical year students in Thailand using Dundee ready education environment measure (DREEM) and identify factors associated with the DREEM scores. Methods A total of 2,467 fourth- to sixth-year students from 34 teaching hospitals nationwide responded to a Thai version of DREEM questionnaire. Data on each student's sex, year...

We used an Arabic translation (revised in our college) of the Dundee Ready Education Environment Measure (DREEM) inventory to assess the educational environment at the College of Medicine in King Saud University, Riyadh. Over 500 questionnaires were distributed and 222 were analysed. Scores were: 45.0% overall; 40.7% for students' perception of learning, 48.2% for perception of teachers, 46.3% ...

STUDY OBJECTIVES To assess whether the year of residency in anesthesiology is associated with residents' overall perceptions of the learning environment and to evaluate the association between year of residency and each of the five domains of the Dundee Ready Education Environment Measure (DREEM) survey. DESIGN Cross-sectional study. SETTING Residency program of anesthesiology at the Clevel...

Analysts in many areas of national security face a massive (high volume), dynamically changing (high velocity) flood of possibly relevant information. Identifying reasonable suspects confronts a tension between data that is too atomic to be diagnostic and knowledge that is too complex to guide search. DREEM (Dynamic Data Relevance Estimation by Exploring Models) is a knowledge-based metaheurist...