Capabilities and Education

This paper provides an outline about the basic ideas of the capability approach. It will be argued that the capability approach is able to provide an appropriate approach in order to evaluate educational and social human services. As an egalitarian approach to social justice, the capability approach has particular strengths when issues concerning the actual life-conduct of tangible human beings come to the fore. In particular educational aspects of welfare and well-being might thus be well grounded on the Aristotelian reasoning of the capability approach. The paper focuses on the potentially fruitful relations of the capability approach and the philosophy and practice of ‘just’ education referring to the idea of the autonomy of life-practice.

Everyday Sexuality and Social Work: Locating Sexuality in Professional Practice and Education

Social work has seen increased intellectual interest in sexuality. However, little attention has been paid to the relevance of everyday sexuality for professional practice or how this might be integrated within existing social work curricula. This paper proposes that knowledge about everyday sexuality is vital to social workers as they deal with a variety of clients faced with the increasing complexities brought about by late-modernity. Additionally, it is argued that this knowledge base is congruent with the ethical and political dimensions of the profession. The PLISSIT model is presented as a possible pedagogical framework for social work education in this area.

Simbrain: A visual framework for neural network analysis and education

Simbrain is a visually-oriented framework for building and analyzing neural networks. It emphasizes the analysis of networks which control agents embedded in virtual environments, and visualization of the structures which occur in the high dimensional state spaces of these networks. The program was originally intended to facilitate analysis of representational processes in embodied agents, however it is also well suited to teaching neural networks concepts to a broader audience than is traditional for neural networks courses. Simbrain was used to teach a course at a new university, UC Merced, in its inaugural year. Experiences from the course and sample lessons are provided.