Rethinking professionalization: A generative dialogue on CSR practitioners1

Rethinking e-learning design on generative learning principles

As the latest in a long history of educational innovations implemented in the wake of technological advances, e-learning appears to have adopted a widely accepted and largely technocentric instructional design paradigm, that generally lacks an educationally sound, theoretical basis for design. We report on an investigation of the fruitfulness of a new, generative theory and model of learning fo...

Corporate Social Responsibility (CSR) Models and Theories in Stakeholder Dialogue

The pharmaceutical sector, an industry already facing stiff tests in the form of intensified competition and strategic consolidation, has increasingly become subject to a variety of other pressures. Significantly, in common with other large-scale businesses, pharmaceutical firms are being exhorted to respond positively to the challenge of corporate (social) responsibility (CSR). Clearly, for in...

A Generative Dialogue System for Arguing about Plans

Ymir: A Generative Model of Psychosocial Dialogue Skills

In the past chapters we have looked at the complex issues involved in human face-to-face interaction. Some of those have been addressed individually in the literature, while some have not. The biggest piece missing though is a general way to put these items together to create a full model of face-to-face communication. The argument made here is the following: We need to look at the full loop of...

A Generative Attentional Neural Network Model for Dialogue Act Classification

We propose a novel generative neural network architecture for Dialogue Act classification. Building upon the Recurrent Neural Network framework, our model incorporates a new attentional technique and a label-to-label connection for sequence learning, akin to Hidden Markov Models. Our experiments show that both of these innovations enable our model to outperform strong baselines for dialogue-act...