In Praise of Art Schools

Art schools in France have undergone a profound transformation. From being once considered havens of Bohemia with teaching based firmly on the rapport established between master and pupil in the studio, they have become multi-disciplinary with studio practice established in and augmented by art theory as taught by historians, critics, and philosophers. This pedagogical approach is without doubt a challenging and positive way of encouraging students to pursue their artistic ambitions in an atmosphere of personal experimentation that Universities often deprecate. At this time a School of Art is by definition in an unstable state of equilibrium since it must at the same time restrain itself and maintain a margin of discretion whilst opening its doors to outside influences. In a time therefore of mutation and crisis the training of individuals and encouraging originality is professionally suitable and socially essential, as without the awareness and contemplation of that which gives each one of us our unique particularity, nothing of value can be undertaken. How could it be otherwise when, against the prevailing trends in our media-dominated systems, we know that art is a major form of thought, as powerful and productive as science and philosophy.     

Teaching and Research Quality Indicators and the Shaping of Higher Education

Two important sets of performance indicators have become established in the United Kingdom: research quality ratings and teaching quality ratings. The research quality ratings and, to a lesser extent, the teaching quality ratings, influence the level of government funding provided to higher education institutions. This paper considers the correlation between the two ratings and the possible consequences of policies that reshape the higher education sector by concentrating research resources in a limited number of institutions. Comparisons are made between quality assurance/assessment approaches in the United Kingdom and those in the United States.     

FORECASTING CREDIT HOURS

This paper employs Tobit to estimate retentionprobabilities and credit hours at two universities. Theinnovation is that this technique examines credit-hourchoice with the decision to depart the university treated as the choice of zero credit hours.Tobit is appropriate for this problem because itrecognizes the lower bound of zero on credit hours andincorporates this bound into the parameter estimates and forecasts. Models are estimated for credithours in a single year and cumulative hours over asix-year horizon.     

Not Your Usual Maths Course: critical mathematics education for adults

This article describes an action research project that investigated which features of critical theory were useful for teaching everyday mathematics in an evening course for adults. Paulo Freire's philosophy of education and Jürgen Habermas’ theory of knowledge interests are among the main influences on exponents of critical mathematics education such as Ole Skovsmose and Marilyn Frankenstein. Through the use of dialogical processes and critical reflection, students engage in social and political issues in their lives or communities and, as a result of their increased consciousness and mathematical learning, take “transforming action”. This study highlights the value of learning in a positive environment, through dialogical processes and critical questioning. Participants of the study were able to overcome barriers to learning mathematics; engage in everyday issues involving mathematics; and make changes to the way they dealt with mathematics, as a result of increased critical consciousness.     

Temperamental Emotionality Attributes as Antecedents of Children's Social Information Processing

This study examined temperament dimensions of emotion as precursors of children's social information processing (SIP) of stressful peer events. Two hundred and forty-three preschool children (M = 4.60 years) and their primary caregivers participated in two measurement occasions spaced 2 years apart. Observations of temperamental anger, fearful distress, positive affect, and effortful control were assessed in multiple laboratory tasks across two visits at Wave 1. SIP assessments from vignettes of peer challenges were repeated across two waves and included: eye tracking measures of attention to peer emotion displays, hostile attribution bias, hostile solutions, and subjective distress. Findings from structural equation models with inclusion of autoregressive controls indicated that effortful control, fear, and anger predicted subsequent changes in specific SIP dimensions.     

Building strong foundations for educational achievement: Language assessments in early childhood education for deaf and hard of hearing children

It is widely accepted that assessment plays a role in monitoring the development of young children with special needs in early intervention/early childhood settings. The process of assessing young children's language skills often looks for delays within a solid language foundation. However, many children who are deaf or hard of hearing (DHH) may not have a solid language foundation to assess, leading to inaccurate assessment. When we reframe how we assess language skills in children who are DHH, we ensure the assessment provides a comprehensive picture of the child's language development. It is important to modify language assessment tools where necessary while ensuring the assessment stays reliable and valid. It is critical to use multiple assessment tools to monitor the child's progress, including standardized assessments and assessment tools normed for DHH populations. Finally, it is crucial to monitor the child's skills in each language that they are using, regardless of which language is used most often. We explain why each of these factors needs to be considered in the assessment of young children who are DHH, will discuss the challenges of assessing this population, and will provide solutions to some of the challenges of assessing language skills in of young children who are DHH.     

Improving document clustering in a learned concept space

Most document clustering algorithms operate in a high dimensional bag-of-words space. The inherent presence of noise in such representation obviously degrades the performance of most of these approaches. In this paper we investigate an unsupervised dimensionality reduction technique for document clustering. This technique is based upon the assumption that terms co-occurring in the same context with the same frequencies are semantically related. On the basis of this assumption we first find term clusters using a classification version of the EM algorithm. Documents are then represented in the space of these term clusters and a multinomial mixture model (MM) is used to build document clusters. We empirically show on four document collections, Reuters-21578, Reuters RCV2-French, 20Newsgroups and WebKB, that this new text representation noticeably increases the performance of the MM model. By relating the proposed approach to the Probabilistic Latent Semantic Analysis (PLSA) model we further propose an extension of the latter in which an extra latent variable allows the model to co-cluster documents and terms simultaneously. We show on these four datasets that the proposed extended version of the PLSA model produces statistically significant improvements with respect to two clustering measures over all variants of the original PLSA and the MM models.     

MBA,上还是不上？

If you＇re thinking of getting an MBA, you＇re not alone. According to the MBA Association, more than 100,000 new MBAs enter the work force every year.