From Vocationalism to Enterprise: social and life skills become personal and transferable

In this paper we address Cohen's (1985) argument in “Against the New Vocationalism” by broadening the debate into an examination of how generic skills have gained a wider application with the emergence of new technology and structural enonomic change. In order to demonstrate the extent of this development, we include examples from training programmes in social and life skills for young people with learning difficulties and examine the Enterprise in Higher Education Initiative (EHEI), which, among other things, aims to give students personal and transferable skills. In this process, we extend Cohen's analysis to illustrate the diverse ways in which a behaviouristic model of skill transfer has been adopted.     

Correction to: The effects of a web-based learning environment on student motivation in a high school earth science course

Educational technology research and development - This article was unintentionally published twice in this journal, by the same authors.     

Scandalous stories and dangerous liaisons: when female pupils and male teachers fall in love

The Sexual Offences Act, 2003 criminalised all sexual activity in England and Wales between teachers and pupils under 18, irrespective of the fact that the general age of consent is 16, and even if the parties concerned were in a consensual relationship. Accounts of pupil–teacher romantic and sexual relationships are usually presented, in the media, through a discourse of scandal and exploitation. This paper draws on accounts of heterosexual attraction and consensual sexual relationships between female secondary school pupils and their male teachers as stories that have been told, by the people involved, in a positive fashion. The paper considers the ways in which sexual activity and identity are controlled and regulated through discursive practices and invites questioning of orthodoxies and norms.     

Choosing a career in special education

Over the past three decades, the severe shortage of special education teachers has continued to pose a significant challenge for schools in several countries. This study investigated factors that influence an individual’s decision to choose a career in special education. Understanding more about the experiences of those entering the field of special education provides insight to assist in recruiting individuals to meet this demand. Nineteen graduate students enrolled in a university’s special education program in the United States completed a survey and participated in semi-structured interviews to examine factors that contributed towards their decision to choose a career in special education. Seven factors were identified: experiences with individuals with disabilities, degree program/career goals, a preference for special education, a desire to be an advocate, influence from others, other educational experiences, and personal reasons. In addition, the participants provided recommendations for teacher preparation programs to effectively recruit special education teachers. The recommendations included providing more information to others about what special education teachers do and the impact they make, and providing more exposure to individuals with disabilities.     

A Maximal Graded Exercise Test to Accurately Predict VO2max in 18–65-Year-Old Adults

The purpose of this study was to develop an age-generalized regression model to predict maximal oxygen uptake (VO_2max) based on a maximal treadmill graded exercise test (GXT; George, 1996) George, J. D. 1996. Alternative approach to maximal exercise testing and VO_2max prediction in college students. Research Quarterly for Exercise and Sport, 67: 452–457. [Taylor & Francis Online], [Web of Science ®] , [Google Scholar]. Participants (N?=?100), ages 18–65 years, reached a maximal level of exertion (mean?±?standard deviation [SD]; maximal heart rate [HR_max]?=?185.2?±?12.4 beats per minute (bpm); maximal respiratory exchange ratio [RER_max]?=?1.18?±?0.05; maximal rating of perceived exertion (RPE_max)?=?19.1?±?0.7) during the GXT to assess VO_2max (mean?±?SD; 40.24?±?9.11 mL·kg^?1·min^?1). Multiple linear regression generated the following prediction equation (R?=?.94, standard error of estimate [SEE]?=?3.18 mL·kg^?1·min^?1, %SEE?=?7.9): VO_2max (mL·kg^?1·min^?1)?=?13.160?+?(3.314 × gender; females?=?0, males?=?1) ? (.131 × age) ? (.334 × body mass index (BMI))?+?(5.177 × treadmill speed; mph)?+?(1.315 × treadmill grade; %). Cross validation using predicted residual sum of squares (PRESS) statistics revealed minimal shrinkage (R_p ?=?.93 and SEE _p ?=?3.40 mL·kg^?1·min^?1); consequently, this model should provide acceptable accuracy when it is applied to independent samples of comparable adults. Standardized β-weights indicate that treadmill speed (.583) was the most effective at predicting VO_2max followed by treadmill grade (.356), age (?.197), gender (.183), and BMI (?.148). This study provides a relatively accurate regression model to predict VO_2max in relatively fit men and women, ages 18–65 years, based on maximal exercise (treadmill speed and grade), biometric (BMI), and demographic (age and gender) data.