Recomendation systems and crowdsourcing: a good wedding for enabling innovation? Results from technology affordances and costraints theory

Recommendation Systems have come a long way since their first appearance in the e-commerce platforms.Since then, evolved Recommendation Systems have been successfully integrated in social networks. Now its time to test their usability and replicate their success in exciting new areas of web -enabled phenomena. One of these is crowdsourcing. Research in the IS field is investigating the need, benefits and challenges of linking the two phenomena. At the moment, empirical works have only highlighted the need to implement these techniques for tasks assignment in crowdsourcing distributed work platforms and the derived benefits for contributors and firms. We review the variety of the tasks that can be crowdsourced through these platforms and theoretically evaluate the efficiency of using RS to recommend a task in creative crowdsourcing platforms. Adopting a Technology Affordances and Constraints Theory, an emerging perspective in the Information Systems (IS) literature to understand technology use and consequences, we anticipate the tensions that this implementation can generate

Personal, social, health and economic (PSHE) education: A mapping study of the prevalent models of delivery and their effectiveness

In October 2008, then Schools Minister Ji, Knight announced that Personal, Social, Health and Economic (PSHE) education would become compulsory (for Key Stages 1-4). Following this, In November 2009, Sheffield Hallam University was contracted by DCSF (now DfE) to conduct a mapping exercise of PSHE education in primary and secondary schools in England. This resulted from a recommendation in the Macdonald Review, whcih identified the need for research to establish and report on the prevalent models of delivery for PSHE education and their effectiveness in improving outcomes for children and young people (Macdonald, 2009:8)