Views of elementary and middle school Turkish students toward environmental issues

This study was conducted in order to identify the intensity of Turkish students’ views with regard to environmental issues presented in the national curriculum and to determine how these views differ by gender, grade level, previous science achievement, socio‐economic status (SES), and school location. For this project, a 51‐item Attitude Toward Environmental Issues Scale (ATEIS) was created and utilized. In total, the scale involved 30 distinct environmental issues. These environmental issues are emphasized in the current Turkish science education curriculum. A total of 458 students in grade 4–8 classrooms completed the scale. Rasch analysis results indicated that, in general, the students felt environmental problems should be confronted in Turkey. But when students were presented with a range of survey items stating that a particular environmental issue should take precedence over economic growth, it was often very difficult for students to agree. On the other hand, when students were simply presented a range of survey issues concerning environmental problems in Turkey, it was easy for them to agree with the presence (or importance) of these environmental issues in Turkey. Subsequent analysis suggested that the set of ATEIS survey items were understood and functioned in a similar measurement manner for male and female students, as well as elementary and middle school students. Results of ANOVA analyses indicated that recent high achievement in science courses resulted in more positive attitudes toward environmental issues. T‐test analyses revealed that the older female students of this data set exhibited more support for environmental issues than did male students. Students with high family income, and those students living in urban areas, displayed more positive attitudes toward environmental issues than did students with low family income, and those living in suburban areas.     

On the choice of effectiveness measures for learning to rank

Most current machine learning methods for building search engines are based on the assumption that there is a target evaluation metric that evaluates the quality of the search engine with respect to an end user and the engine should be trained to optimize for that metric. Treating the target evaluation metric as a given, many different approaches (e.g. LambdaRank, SoftRank, RankingSVM, etc.) have been proposed to develop methods for optimizing for retrieval metrics. Target metrics used in optimization act as bottlenecks that summarize the training data and it is known that some evaluation metrics are more informative than others. In this paper, we consider the effect of the target evaluation metric on learning to rank. In particular, we question the current assumption that retrieval systems should be designed to directly optimize for a metric that is assumed to evaluate user satisfaction. We show that even if user satisfaction can be measured by a metric X, optimizing the engine on a training set for a more informative metric Y may result in a better test performance according to X (as compared to optimizing the engine directly for X on the training set). We analyze the situations as to when there is a significant difference in the two cases in terms of the amount of available training data and the number of dimensions of the feature space.     

Overexpression of the phytochrome B gene from Arabidopsis thaliana increases plant growth and yield of cotton (Gossypium hirsutum)

The phytochrome B (PHYB) gene of Arabidopsis thaliana was introduced into cotton through Agrobacterium tumefaciens. Integration and expression of PHYB gene in cotton plants were confirmed by molecular evidence. Messenger RNA (mRNA) expression in one of the transgenic lines, QCC11, was much higher than those of control and other transgenic lines. Transgenic cotton plants showed more than a two-fold increase in photosynthetic rate and more than a four-fold increase in transpiration rate and stomatal conductance. The increase in photosynthetic rate led to a 46% increase in relative growth rate and an 18% increase in net assimilation rate. Data recorded up to two generations, both in the greenhouse and in the field, revealed that overexpression of Arabidopsis thaliana PHYB gene in transgenic cotton plants resulted in an increase in the production of cotton by improving the cotton plant growth, with 35% more yield. Moreover, the presence of the Arabidopsis thaliana PHYB gene caused pleiotropic effects like semi-dwarfism, decrease in apical dominance, and increase in boll size.     

Blended learning or face-to-face? Does Tutor anxiety prevent the adoption of Learning Management Systems for distance education in Ghana?

ABSTRACT

Learning Management System (LMS)-enabled blended learning has been adopted by higher educational institutions for promoting accessible and effective pedagogy and andragogical practices. The introduction of this mode of learning has altered the traditional face-to-face interaction. However, the lack of actual usage and online presence by instructors in an LMS-enabled blended learning environment seems to be a major setback for its success. Consequently, LMS-related anxiety has been cited as one of the behavioural challenges hindering its usage in Africa. Hence, this paper is focused on unravelling the antecedents of tutors’ anxiety towards actual LMS usage based on a Technology Related Stimulus-Response Theoretical Framework (TR-SR-TF). In view of this, the study employed a survey design, adopting a questionnaire as data collection instrument from 267 distance education tutors across study centres within Ghana. The results from Partial Least Squares Structural Equation Modelling (PLS-SEM) technique revealed three underlying factors determining LMS anxiety, namely; colleague influence, outcome expectation and use support. However, the result of the Importance Performance Map Analysis (IPMA) showed that colleague influence was the most important indicator while outcome expectation was the highest performance indicator of tutors’ LMS related anxiety. The study recommended that such factors like colleague influence, outcome expectation and use support should be consciously addressed in order to reduce (if not totally eliminate) anxiety towards LMS use for blended learning.     

Towards a policy social psychology: Teacher engagement with policy enactment and the core concept of Affective Disruption

The article uncovers the complex process of educational policy enactment and the impact this process has on teachers as policy actors as they undertake the task of introducing a new mathematics curriculum in a Canadian secondary school. The three year study based on in‐depth qualitative interviews adopts a classic grounded theory approach of concurrent iterative cycles of data collection, conceptual categorisation and analytical abstraction, to identify six emergent concepts indicative of policy actor engagement with the policy process: (1) Professional and Emotional Investment; (2) Decisional Legitimacy; (3) Hierarchical Trust; (4) System Integrity and Viability; (5) De‐professionalisation; and (6) Identity Safeguarding. Further, and significantly, the grounded theory analysis identifies the core concept of Affective Disruption, conceived as an interruption to an individual's emotional equilibrium resulting from interference to their cognitive sense‐making in relation to policy. It is proposed these six emergent concepts and Affective Disruption as a core concept are precipitated within policy actors in response to the tensions created by the process of policy enactment; the research findings moving towards what might be tentatively termed a policy social psychology.     

Comparison of Quantitative and Qualitative Research Traditions: epistemological,theoretical, and methodological differences

There has been much discussion about quantitative and qualitative approaches to research in different disciplines. In the behavioural and social sciences, these two paradigms are compared to reveal their relative strengths and weaknesses. But the debate about both traditions has commonly taken place in academic books. It is hard to find an article that deals with the generic issues related to the quantitative and qualitative divide by drawing on distinguished research literature. Interested in addressing this need, this article aims to explain the essential characteristics of quantitative and qualitative research approaches with an emphasis on their underlying epistemological, theoretical, and methodological differences. It elucidates the research design issues and concepts in relation to both research paradigms, from planning research to collecting and analyzing data, and reporting findings. The criteria that are used to evaluate research strategies and findings are also discussed.     

Optimal control of a distributed parameter system with applications to beam vibrations using piezoelectric actuators

This paper addresses the issue of the active vibration control of the transverse modes in a flexible elastic systems. The control is implemented by discrete sets of piezoelectric actuators that apply the optimal forces. The performance index is a time-dependent quadratic functional of state variables and their time derivatives, and control forces which are determined by minimizing the objective functional subject to a penalty term on the control functions. A combination of Galerkin and variational approaches are employed to determine the control forces in the time domain explicitly in terms of coupled amplitudes and velocities. The effectiveness of the proposed method is demonstrated by applying it to a physical problem controlled by piezoelectric patch actuators.