Interprofessional attitudes amongst undergraduate students in the health professions: a longitudinal questionnaire survey

Background: Interprofessional education (IPE) introduced at the beginning of pre-registration training for healthcare professionals attempts to prevent the formation of negative interprofessional attitudes which may hamper future interprofessional collaboration. However, the potential for IPE depends, to some extent, on the readiness of healthcare students to learn together. Objectives: To measure changes in readiness for interprofessional learning, professional identification, and amount of contact between students of different professional groups; and to examine the influence of professional group, student characteristics and an IPE course on these scores over time. Design: Annual longitudinal panel questionnaire survey at four time-points of pre-registration students (n = 1683) drawn from eight healthcare groups from three higher education institutions (HEIs) in the UK. Results: The strength of professional identity in all professional groups was high on entry to university but it declined significantly over time for some disciplines. Similarly students’ readiness for interprofessional learning was high at entry but declined significantly over time for all groups, with the exception of nursing students. A small but significant positive relationship between professional identity and readiness for interprofessional learning was maintained over time. There was very minimal contact between students from different disciplines during their professional education programme. Students who reported gaining the least from an IPE course suffered the most dramatic drop in their readiness for interprofessional learning in the following and subsequent years; however, these students also had the lowest expectations of an IPE course on entry to their programme of study. Conclusion: The findings provide support for introducing IPE at the start of the healthcare students’ professional education to capitalise on students’ readiness for interprofessional learning and professional identities, which appear to be well formed from the start. However, this study suggests that students who enter with negative attitudes towards interprofessional learning may gain the least from IPE courses and that an unrewarding experience of such courses may further reinforce their negative attitudes.

Measuring the comprehensibility of Z specifications

The effects of natural language comments, meaningful variable names, and structure on the comprehensibility of Z specifications are investigated through a designed experiment conducted with a range of undergraduate and post-graduate student subjects. The times taken on three assessment questions are analysed and related to the abilities of the students as indicated by their total score, with the result that stronger students need less time than weaker students to complete the assessment. Individual question scores, and total score, are then analysed and the influence of comments, naming, structure and level of student's class are determined. In the whole experimental group, only meaningful naming significantly enhances comprehension. In contrast, for those obtaining the best score of 3/3 the only significant factor is commenting. Finally, the subjects' ratings of the five specifications used in the study in terms of their perceived comprehensibility have been analysed. Comments, naming and structure are again found to be of importance in the group when analysed as a whole, but in the sub-group of best performing subjects only the comments had an effect on perceived comprehensibility.

The role of Minitab in teaching and learning statistics

This paper describes how the statistical package Minitab is used in teaching statistics in our undergraduate programmes in Mathematics and Statistics to enhance student learning. How the sophisticated recent versions of Minitab can be used to help students understand statistical concepts, develop their statistical thinking and gain valuable skills in performing statistical analysis are discussed.

Some issues on assessment methods and learning in mathematics and statistics

This paper looks at the application of some of the assessment methods in practice with the view to enhance students’ learning in mathematics and statistics. It explores the effective application of assessment methods and highlights the issues or problems, and ways of avoiding them, related to some of the common methods of assessing mathematical and statistical learning. Some observations made by the author on good assessment practice and useful approaches employed at his institution in designing and applying assessment methods are discussed. Successful strategies in implementing assessment methods at different levels are described.

So what if students are poor at numeracy?

The numeracy skill of student is a continued concern with numeracy highlighted as a key skill in Foundation degrees and other vocational courses such as nursing (DfES 1999, NMC 2007). Numeracy is seen as a requirement to being able to undertake work based skills that require the use of numbers and calculations. However numeracy skills developed in the classroom does not necessarily prepare students for work-based calculations and similarly nor does poor numeracy skills necessarily mean that students cannot perform complex mathematical calculations in their work place. This paper will explore the role of context, the difference between formal and work based mathematics and questions the continued focus on numeracy skills, using examples from my own research with nurses.