Open Access. Powered by Scholars. Published by Universities.®
- Keyword
Articles 1 - 3 of 3
Full-Text Articles in Education
The Quality Movement Discourse In The Higher Education Sector: A General Review, Aidan Kenny
The Quality Movement Discourse In The Higher Education Sector: A General Review, Aidan Kenny
Articles
This paper – the first of a series of three – describes some of the macro milestones in the evolution of the Quality Movement in the industrial environment. The emphasis then shifts to reviewing the discourse relating to quality in the higher education sector in the UK. Attention is given to Quality Assessment, Quality Assurance and Quality Enhancement models. The interface or tension lines between quality as a controlling mechanism or as a tool for development are outlined. Predominant concerns and issues as expressed by academics are clustered into macro questions, the answers to which will require further longitudinal research.
Blended Problem-Based Learning For Teacher Education: Lessons Learnt, Roisin Donnelly
Blended Problem-Based Learning For Teacher Education: Lessons Learnt, Roisin Donnelly
Articles
Journal of Learning, Media and Technology, Vol. 31, 2, 2006, pp. 93-116
Available from the Publisher http://www.tandfonline.com/doi/abs/10.1080/17439880600756621
Computer Models For Legal Prediction, Kevin D. Ashley, Stephanie Bruninghaus
Computer Models For Legal Prediction, Kevin D. Ashley, Stephanie Bruninghaus
Articles
Computerized algorithms for predicting the outcomes of legal problems can extract and present information from particular databases of cases to guide the legal analysis of new problems. They can have practical value despite the limitations that make reliance on predictions risky for other real-world purposes such as estimating settlement values. An algorithm's ability to generate reasonable legal arguments also is important. In this article, computerized prediction algorithms are compared not only in terms of accuracy, but also in terms of their ability to explain predictions and to integrate predictions and arguments. Our approach, the Issue-Based Prediction algorithm, is a program …