A prediction of outcomes: a psychological investigation into cognitive and affective development within the framework of adult literacy provision

This investigation seeks to explore the hypothesis, derived from observation and practice, that there is a strong relationship between the development of literacy skills and the growth of confidence in adult literacy students. Implicit in the developmental approach is the notion of progression towards some cognitive goal. Such a goal necessitates the establishment of a base line of existing attainment, together with subsequent assessment so that progress and development can be measured. The study includes an evaluation of existing formal and informal methods of initial and subsequent assessment and diagnosis available at the time for Adult Literacy Scheme Co-ordinators. Underlying the funding by Cheshire County Council for the project is the assumption that the results will be available for all practitioners and that the tools of measurement may be used by other Adult Literacy Co-ordinators in the County. It is intended, therefore, that this research should result in practical outcomes in which methods of assessment will involve active participation by students as well as by tutors, becoming part of the learning process. It is hypothesised that this kind of co-operation could lead ultimately to self-directed learning and student-independence. For the purposes of this research, a balance is attempted in the use of assessment tools, between standardised tests and informal methods. The study provides facts about students! reading habits; as well as their reading levels, their spelling levels, their handwriting, their writing skills and their writing habits. The study seeks to show the students' feelings towards education, their educational attainments and the type of school which they attended. The study also attempts to come to some measurement of those aspects of student personality which relate to confidence, by means of tests and questionnaires. The study concludes with an examination of the link between cognitive and affective progress.

Semantic sentiment analysis of Twitter

Sentiment analysis over Twitter offer organisations a fast and effective way to monitor the publics' feelings towards their brand, business, directors, etc. A wide range of features and methods for training sentiment classifiers for Twitter datasets have been researched in recent years with varying results. In this paper, we introduce a novel approach of adding semantics as additional features into the training set for sentiment analysis. For each extracted entity (e.g. iPhone) from tweets, we add its semantic concept (e.g. Apple product) as an additional feature, and measure the correlation of the representative concept with negative/positive sentiment. We apply this approach to predict sentiment for three different Twitter datasets. Our results show an average increase of F harmonic accuracy score for identifying both negative and positive sentiment of around 6.5% and 4.8% over the baselines of unigrams and part-of-speech features respectively. We also compare against an approach based on sentiment-bearing topic analysis, and find that semantic features produce better Recall and F score when classifying negative sentiment, and better Precision with lower Recall and F score in positive sentiment classification.

The forgotten brand personality dimension

Aaker's (1997) brand personality framework has become influential across many streams of brand personality research, but it fails to capture an important dimension that reflects consumer's anxious feelings towards brands. Consumers are increasingly evaluating brands through expressions of negative emotive language. For example, the BP oil spillage in the Gulf of Mexico stimulated negative emotions among consumers. This paper is the first to thoroughly incorporate a brand personality dimension reflective of consumer anxious tense and frustrated feelings towards brands. From the extant literature we propose and define negative brand personality. Four adjacent studies were conducted to explore, purify and refine in what form negative brand personality traits exist among consumers. This paper concludes with a conceptual model detailing the antecedent constructs to negative brand personality and behavioral consequences. © 2012.

Towards a web-based progressive handwriting recognition environment for mathematical problem solving

The emergence of pen-based mobile devices such as PDAs and tablet PCs provides a new way to input mathematical expressions to computer by using handwriting which is much more natural and efficient for entering mathematics. This paper proposes a web-based handwriting mathematics system, called WebMath, for supporting mathematical problem solving. The proposed WebMath system is based on client-server architecture. It comprises four major components: a standard web server, handwriting mathematical expression editor, computation engine and web browser with Ajax-based communicator. The handwriting mathematical expression editor adopts a progressive recognition approach for dynamic recognition of handwritten mathematical expressions. The computation engine supports mathematical functions such as algebraic simplification and factorization, and integration and differentiation. The web browser provides a user-friendly interface for accessing the system using advanced Ajax-based communication. In this paper, we describe the different components of the WebMath system and its performance analysis.

Shopfloor attitudes towards advanced manufacturing technology:the changing focus of industrial conflict?

The implementation of advanced manufacturing technology (AMT) in manufacturing organisations is increasing. In many cases the introduction of AMT has been associated with conflict between management and workers. This appears to be due to the potential for AMT to have a de-skilling effect upon job content and, in some instances, leading to job losses. In reality, fears concerning both these issues have reduced and consequently there has been a change away from conflict between management and workers to divisions amongst shopfloor operators. The paper explores some of the processes involved in this change within the context of an engineering case study. More specifically, it is shown that when AMT was introduced into a machining workshop, traditional conflict between management and operators was soon replaced by negative feelings between users and non-users of AMT. The implications of industrial relations suggest the need for more care and attention to the human side of work organisation when implementing new manufacturing technology.