A psychology student’s reflections on learning psychodynamic psychotherapy in the classroom

A graduate psychology student reflects upon the experience of learning psychodynamic psychotherapy exclusively in the classroom. The majority of undergraduate psychology students have scant, and frequently inaccurate, exposure to psychodynamic psychotherapy. This appears to heavily influence students’ choice of postgraduate programs, and to reduce the likelihood that they will expose themselves to psychodynamic therapy at any stage of their careers. It is hoped that the original insights provided by this reflection will inform the development of psychodynamic psychotherapy teaching material that can be imparted effectively in undergraduate programs, even when access to patients and supervisors is not possible, so that more students are inspired to study psychodynamic psychotherapy in postgraduate programs.

Knowledge ecosystems of early career academics : a grounded theory of experiencing information use for learning in developmental networks

This study explored early career academics' experiences in using information to learn while building their networks for professional development. A 'knowledge ecosystem' model was developed consisting of informal learning interactions such as relating to information to create knowledge and engaging in mutually supportive relationships. Findings from this study present an alternative interpretation of information use for learning that is focused on processes manifesting as human interactions with informing entities revolving around the contexts of reciprocal human relationships.

ACE research vignette 033: Learning (about) entrepreneurship through experiential learning opportunities at university

This series of research vignettes is aimed at sharing current and interesting research findings from our team of international Entrepreneurship researchers. In this vignette, Dr Martin Bliemel considers the state of entrepreneurship education in universities and the degree to which students actually internalize what it is like to be an entrepreneur.

Learning and development opportunities as a tool for the retention of volunteers : a motivation perspective

The growing reliance on volunteers in Australia has heightened the need for non-profit organisations to retain these valuable resources. However, the current literature on volunteer retention is limited. One potential way volunteers can be retained is by providing learning and development opportunities (LDOs). This study investigates the relationship between volunteer perceptions of LDOs, their motivations for volunteering, and retention. Analyses revealed significant main effects for LDOs and volunteer motivations on retention and several interactive effects demonstrating that LDOs can have differential effects on retention depending on the reasons for volunteering.

Comparing different approach and avoidance models of learning and personality in the prediction of work, university, and leadership outcomes

Jackson (2005) developed a hybrid model of personality and learning, known as the learning styles profiler (LSP) which was designed to span biological, socio-cognitive, and experiential research foci of personality and learning research. The hybrid model argues that functional and dysfunctional learning outcomes can be best understood in terms of how cognitions and experiences control, discipline, and re-express the biologically based scale of sensation-seeking. In two studies with part-time workers undertaking tertiary education (N equals 137 and 58), established models of approach and avoidance from each of the three different research foci were compared with Jackson's hybrid model in their predictiveness of leadership, work, and university outcomes using self-report and supervisor ratings. Results showed that the hybrid model was generally optimal and, as hypothesized, that goal orientation was a mediator of sensation-seeking on outcomes (work performance, university performance, leader behaviours, and counterproductive work behaviour). Our studies suggest that the hybrid model has considerable promise as a predictor of work and educational outcomes as well as dysfunctional outcomes.

Dictionary learning and sparse coding on Grassmann manifolds : an extrinsic solution

Recent advances in computer vision and machine learning suggest that a wide range of problems can be addressed more appropriately by considering non-Euclidean geometry. In this paper we explore sparse dictionary learning over the space of linear subspaces, which form Riemannian structures known as Grassmann manifolds. To this end, we propose to embed Grassmann manifolds into the space of symmetric matrices by an isometric mapping, which enables us to devise a closed-form solution for updating a Grassmann dictionary, atom by atom. Furthermore, to handle non-linearity in data, we propose a kernelised version of the dictionary learning algorithm. Experiments on several classification tasks (face recognition, action recognition, dynamic texture classification) show that the proposed approach achieves considerable improvements in discrimination accuracy, in comparison to state-of-the-art methods such as kernelised Affine Hull Method and graph-embedding Grassmann discriminant analysis.