Impact of Personality on Academic Performance of MBA Students: Qualitative Versus Quantitative Courses*

The traditional core Masters in Business Administration (MBA) curriculum consists of a broad range of courses that can be considered as a whole, or divided into qualitative and quantitative courses. Regression models were developed with “QualGPA” and “QuantGPA” as response variables, and gender, pre‐MBA academic indicators, and personality factors (measured by the RightPath6^® profile) as the explanatory variables. Results may provide pedagogical insight for faculty teaching increasingly diverse MBA classes. Additionally, there are recruitment implications for those hiring MBA graduates, as well as implications for MBA students in decisions regarding MBA concentrations and subsequent career choices. While gender alone was not a significant variable in any model, gender–personality interactions were significant. Across both course categories, performance tended to be higher for students who were more “Detached” than “Compassionate,” with the exception of females in quantitative courses. Additionally, “Extraversion” and “Reactiveness” significantly enhanced performance among males in qualitative courses, and “Conscientiousness” had a strong positive performance effect among females in quantitative courses.     

A Behavioural Evaluation of Dance Instruction with Students Who Have Special Needs

A dance programme for a class of students with special needs was evaluated using a multiple baseline across behaviours design where the behaviours were movements representing aspects of the elements of dance: Space, Body Awareness, Relationships, Levels, Effort, Speed and Shape. Observational data showed that the instructional dance programme was successful in extending the variety of movements performed by the students and that the observational methodology designed for the study was a useful strategy for evaluating teaching in dance.     

Help‐Seeking and Non‐Help‐Seeking Students' Perceptions of Own and Peers' Mental Health Functioning

Help‐seeking (HS) students and non‐help‐seeking (NHS) students were compared on their perceptions of (a) their own level of mental health functioning and (b) the average level of mental health functioning of their (NHS or HS) peers. Results showed that NHS students' perceptions of HS students' self‐ratings were similar to HS students' self‐ratings of functioning but that HS students underestimated the level of functioning of their NHS peers. Implications of the findings for campus outreach and future research are discussed.     

Informed learning design: teaching and learning through engagement with information

ABSTRACT

While higher education teachers are able to use information in sophisticated ways to learn and communicate within their disciplines, they may not be accustomed to teaching their students to use information creatively and reflectively to support their work in a course. This article introduces informed learning design, a curriculum design model by which teachers specifically enable students to learn course content through intentional engagement with information. Drawing from informed learning pedagogy and the variation theory of learning, the design model outlines an instructional pattern for enabling student awareness of critical aspects and features of the object being studied related to both information use and course content.     

Discovering the Laws of Sampling

That the sample mean and variance are “good” estimates of the corresponding population parameters is easily accepted as “obvious” by students, but the concept of standard error of the mean is often found to be quite a hurdle. That this standard error decreases inversely as the square-root of the sample size, and the mysterious appearance of the Normal distribution, are often taken as magical and incomprehensible effects, and non-mathematical students can often be turned away from further understanding. This article describes a program which provides an experimental framework in which the student can rapidly develop an intuition for the basic properties of sampling.