Groundwater scarcity impact on inclusiveness and women empowerment: Insights from school absenteeism of female students in two watersheds in India

A survey was conducted in eight secondary schools located in two watersheds in Gujarat and Rajasthan (semi-arid region of India) to assess students’ perceptions about groundwater scarcity issues and the impact of the scarcity on their educational opportunities. Survey responses to a detailed questionnaire by a cohort of students in both watersheds; school attendance records of year 8 class students (13–14 years old) and responses gathered via a socio-economic survey involving 500 families in the study area were used in the study. In both watersheds, >90% students identified groundwater scarcity as a major issue. Required to work at home or farm, about 65% students in Gujarat and 60% in Rajasthan missed school for up to 2 days/month; and a smaller proportion (～ 30%) missed schools for 4 or more days/month. School absenteeism was found to be linked with gender; female students missed schools more frequently than their male counterpart. The school attendance records in Rajasthan showed that the frequency of female students missing schools for 5 or more days/month was on an average 2–10 times greater than that for males. The gender difference in absenteeism in all schools was statistically significant (P?<?.018**). The study highlighted that groundwater scarcity in the study area, and consequent demand on their time for household work including fetching drinking water are contributing factors towards limiting their educational and economic opportunities. Groundwater scarcity can be one of the key factors that can limit inclusiveness and empowerment of women and need to be considered in policy-making.     

Prolog programming techniques

In this paper we introduce the concept of a Prolog programming technique. This concept is then distinguished both from that of an algorithm and that of a programming cliché. We give examples and show how a knowledge of them can be useful in both programming environments and in teaching programming skills. The extraction of the various techniques is outlined. Finally, we discuss the problem of representing techniques where we conclude that the most promising approach is the development of a suitable meta-language.     

Changing thoughts,changing practice: examining the delivery of a group CBT-based intervention in a school setting

Promoting mental health and well-being for children and young people in the UK has attracted increasing prominence in recent years and has been a focus for government strategy within health and education. Training and practice in educational psychology has increasingly focused on developing skills and expertise to provide therapeutic support within school contexts, at an early stage of need. One approach, Cognitive Behaviour Therapy (CBT), has been heralded as an effective, evidence-based intervention for anxiety. This research examines the factors influencing the outcomes of a group CBT-based intervention, run by an Educational Psychologist (EP), in a school setting. The findings suggest that influential variables included pupil identification, measures of change applied and the role of school staff. It is concluded that EPs can play a key role in increasing access to psychological therapies, alongside considering due caution in relation to the application of traditional clinical approaches in school contexts.     

Semantic Innovation: Arithmetical and Algebraic Metaphors Within Narratives of Learning

This paper examines a theoretical perspective on the ways in which children progress in learning mathematics. It suggests that there is a difficulty in associating teaching discourses with the mathematics they locate. This can result in an incommensurability between alternative perspectives being offered. The paper resists attempts to privilege any particular account but rather demands an analysis of these discourses and their presuppositions. In developing these themes the paper invokes Ricoeur's analysis of time and narrative as an analytical approach to treating notions such as transition, development and progression in mathematical learning. His notion of semantic innovation is introduced. This embraces both the introduction of a new metaphor into a sentence or the creation of a new narrative which reorganises events into a new plot. The notion is utilised in arguing that the shift in the student's mathematical development from arithmetic to first order linear equations with unknowns reconfigures the contextual parameters governing the understanding of these mathematical forms. It is also utilised in showing how alternative approaches to accounting for such transitions suit different and perhaps conflicting outcomes. For example, demonstrating awareness of generality or performing well in a diagnostic test featuring the solution of linear equations.This revised version was published online in September 2005 with corrections to the Cover Date.     

The understanding in science test as a measure of piagetian level of intellectual development

Conclusion The purpose of this paper is not to denigrate pencil-and-paper tests of intellectual capabilities. The Understanding in Science Test, if it were not for its reliability problems, may be a useful test of intellectual processing. It appears not to be a successful analogue to clinically-administered Piagetian tasks. The same may be said of the other written or group tests of this nature. If they are reliable, they may provide useful measures of intellectual ability. Our research, though, suggests that, for junior high school students and younger, they may not possess high concurrent validity with Piagetian tasks.     

Environmental and Genetic Variance in Children's Observed and Reported Maladaptive Behavior

The genetic and environmental contributions to children's maladaptive behavior are assessed in a sample of 154 twin pairs (77 MZ twin pairs and 77 DZ twin pairs), who range in age from 6 to 11 years. To bridge the strengths of behavioral genetic methods and environmental assessment techniques, we use a multimethod, multimeasure approach to data collection, and analyze the data using behavioral genetic modeling techniques. Results indicate that genetic variation accounts for a majority of the variance in parent-reported child maladaptive behavior (average = 62%). One parent-report measure also suggests a smaller, significant contribution of shared environmental variance. In contrast to the parental ratings, the observational coding and global impressions of parent-twin interactive behavior suggest that shared environment is the primary source of variance accounting for parent and child maladaptive behavior. This is due, in part, to the direct influence one's interactive partner has on the expression of maladaptive behavior in an interactive setting. When controlling for the co-participant's behavior, genetic variation increases and shared environmental variation decreases.