Why do students consider dropping out of doctoral degrees? Institutional and personal factors

Despite the increasing popularity of doctoral education, many students do not complete their studies, and very little information is available about them. Understanding why some students consider that they do not want to, or cannot, continue with their studies is essential to reduce dropout rates and to improve the overall quality of doctoral programmes. This study focuses on the motives students give for considering dropping out of their doctoral degree. Participants were 724 social sciences doctoral students from 56 Spanish universities, who responded to a questionnaire containing doctoral degree conditions questions and an open-ended question on motives for dropping out. Results showed that a third of the sample, mainly the youngest, female and part time students, stated that they had intended to drop out. The most frequent motives for considering dropping out were difficulties in achieving a balance between work, personal life and doctoral studies and problems with socialization. Overall, results offer a complex picture that has implications for the design of doctoral programmes, such as the conditions and demands of part-time doctoral studies or the implementation of educational proposals that facilitate students’ academic and personal integration into the scientific community in order to prevent the development of a culture of institutional neglect.     

A developmental perspective on full- versus part-day kindergarten and children's academic trajectories through fifth grade

Children's kindergarten experiences are increasingly taking place in full- versus part-day programs, yet important questions remain about whether there are significant and meaningful benefits to full-day kindergarten. Using the Early Childhood Longitudinal Study's Kindergarten Cohort ( N = 13,776), this study takes a developmental approach to examining associations between kindergarten program type and academic trajectories from kindergarten (ages 4–6 years) through 5th grade (ages 9–12 years). Full-day kindergarten was associated with greater growth of reading and math skills from fall until spring of kindergarten. Initial academic benefits diminished soon after kindergarten. The fade-out of the full-day advantage is in part explained by differences in the children who attend part- and full-day kindergarten as well as school characteristics.     

Adding automatic evaluation to interactive virtual labs

Automatic evaluation is a challenging field that has been addressed by the academic community in order to reduce the assessment workload. In this work we present a new element for the authoring tool Easy Java Simulations (EJS). This element, which is named automatic evaluation element (AEE), provides automatic evaluation to virtual and remote laboratories built with EJS by using the server application Goodle grading management system (GMS). The integration of both tools entitles a professor to create interactive virtual and remote laboratories and automatically evaluate the work of their students. As a test bed two case studies are presented; a non-linear controller design virtual laboratory used in an advanced control master course and a servomechanism virtual laboratory used in an undergraduate basic control course.     

The development of clinical reasoning skills: A major objective of the anatomy course

Traditional medical school curricula have made a clear demarcation between the basic biomedical sciences and the clinical years. It is our view that a comprehensive medical education necessarily involves an increased correlation between basic science knowledge and its clinical applications. A basic anatomy course should have two main objectives: for the student to successfully gain a solid knowledge base of human anatomy and to develop and hone clinical reasoning skills. In a basic anatomy course, clinical case discussions based on underlying anatomic anomalies or abnormalities are the major means to teach students clinical reasoning skills. By identifying, classifying, and analyzing the clinical data given, a student learns to methodically approach a clinical case and formulate plausible diagnoses. Practicing and perfecting clinical problem‐solving skills should be a major objective of the anatomy curriculum. Such clinical reasoning skills are indeed crucial for the successful and expert practice of medicine. Anat Sci Ed 1:267–268, 2008. © 2008 American Association of Anatomists.     

Literacy and life skills education for vulnerable youth: What policy makers can do

In countries with a high concentration of youth with low literacy levels, the policy and programming task related to education and training is particularly daunting. This note briefly presents policies and practices which have been put in place to provide vulnerable youth with literacy and life skills education. It is based on a multi-country research study undertaken by the UNESCO Institute for Lifelong Learning (UIL) in cooperation with the Department of Foreign Affairs, Trade and Development Canada (DFATD Canada; previously Canadian International Development Agency, CIDA), and on subsequent policy dialogue forums with policy makers, practitioners, researchers and youth representatives held in Africa, the Arab region and Asia. Built on this review of existing policies and their implementation, this note provides lessons for innovative practices and suggests six concrete ways to address the needs of vulnerable youth through literacy and life skills education.     

Are teachers’ approaches to teaching responsive to individual student variation? A two-level structural equation modeling

In the framework of teacher’s approaches to teaching, this study investigates the relationship between student-related variables (i.e., study time, class absence, domain knowledge, and homework completion), students’ approaches to learning, and teachers’ approaches to teaching using structural equation modeling (SEM) with two independent data samples. The participants were 61 biology teachers and their corresponding 1,518 high school students (12th grade). The first sample was used to fit the model, and the second sample was used to analyze the consistency of the data derived from the first sample. Using a two-level SEM analysis, we established whether the effects found at the individual level varied significantly at class level. The students’ approaches to learning were related to the teachers’ approaches to teaching as a function of the hypotheses established in the model, although the effect size was smaller than expected. However, approximately 48 % of the variance of the surface approach and 46 % of the deep approach sat at class level. At the individual level, the results of this study suggest that students’ approaches to learning significantly explain their teachers’ approaches to teaching and, thus, constitute important contextual variables. At the class level, the way students learn appears to be closely associated with class-related variables. Our data stresses the importance of promoting educational opportunities (e.g., school-based courses) for teachers to reflect upon the teaching methodologies used in class.