Factors which comprise salary

A linear causal model is postulated and path analysis procedures are used to examine the direct, indirect, and total influence of 39 variables (grouped into eight general measures) on the salaries of 24.461 faculty members associated with virtually every discipline and type of postsecondary institution in the academic community. The results show wide variation in the relative influence of characteristics of postsecondary institutions and the personal and professional characteristics of faculty members on faculty salaries. The implications of these findings are discussed and specific guidelines are provided to assist those interested in examining the external and internal consistency of the faculty salary structures of their respective institutions.     

Elementary school teachers' beliefs about and perceptions of elementary school science,science reading,science textbooks,and supportive instructional factors

This article is a report of elementary school teachers' beliefs about and uses of text material in science. Survey results from 522 K-8 teachers from 299 schools in the United States, Puerto Rico and the Virgin Islands were analyzed along three dimensions: teacher attitudes toward teaching of reading in science; teacher beliefs and understanding about models of reading, factors influencing science reading and reading skills; and teacher use of various teaching strategies. Results suggest that teachers do not see reading science as different from any other narrative material. And though most agreed to the importance of having students do activities to support and enhance the use of text material, responses suggest that covering topics is still a concern for most elementary teachers.     

The university brand and social media: using data analytics to assess brand authenticity

Recent economic pressures have demanded higher education institutions respond with strong, authentic brand promises. This mixed method multi-case study explored the authenticity of common brand promises at three Universities in Canada through Twitter and Facebook postings from February to April 2016 using a cloud-based text and network analytic tool. Our study revealed the content shared on social media channels, while largely trustworthy, was fraught with shades of gray and revealed that sometimes brand promises were used against the university when they appeared disingenuous or threatened institutional norms around equity and social justice. Further, social media strategies are still largely limited to push notification suggesting universities are missing opportunities to strengthen their brand and counter negative messaging. For marketing managers it reinforces investments should be directed toward creating engaging and authentic content that can be expressed through multiple touch-points including social media and this can be monitored through low-cost analytic tools.     

Some determinants of second-order conditioning

In a Pavlovian conditioning situation, an initially neutral stimulus may be made excitatory by nonreinforced presentations in compound with an established conditioned excitor [i.e., second-order conditioning (SOC)]. The established excitor may be either a punctate cue or the training context. In four conditioned suppression experiments using rats, we investigated whether SOC phenomena parallel other cue interaction effects. In Experiment 1, we found that the response potential of a target stimulus was directly related to the intertrial interval when SOC was mediated by a punctate cue, and inversely related to the intertrial interval when SOC was mediated by the training context. Experiment 2 demonstrated that punctate- and context-mediated SOC are oppositely affected by posttraining context extinction, and Experiments 3 and 4 demonstrated that context- and punctate-mediated SOC are differentially affected by conditioned stimulus (Experiment 3) and unconditioned stimulus (Experiment 4) preexposure treatments. These findings parallel phenomena in conditioned inhibition and cue competition situations.     

Effects of reinforcer delay and variability in a successive-encounters procedure

Pigeons responded in a successive-encounters procedure that consisted of a search period, a choice period, and a handling period. The search period was either a fixed-interval or a mixed-interval schedule presented on the center key of a three-key chamber. Upon completion of the search period, the center key was turned off and the two side keys were lit. A pigeon could either accept a delay followed by food (by pecking the right key) or reject this option and return to the search period (by pecking the left key). During the choice period, a red right key represented the long alternative (a long handling delay followed by food), and a green right key represented the short alternative (a short handling delay followed by food). The experiment consisted of a series of comparisons for which optimal diet theory predicted no changes in preference for the long alternative (because the overall rates of reinforcement were unchanged), whereas the hyperbolic-decay model predicted changes in preference (because the delays to the next possible reinforcer were varied). In all comparisons, the results supported the predictions of the hyperbolic-decay model, which states that the value of a reinforcer is inversely related to the delay between a choice response and reinforcer delivery.     

Logics,rhetoric and ‘the blob’: Populist logic in the Conservative reforms to English schooling

A lot has been written about the lasting implications of the Conservative reforms to English schooling, particularly changes made by Michael Gove as Education Secretary (2010–2014). There is a lot less work, however, on studying the role that language, strategy and the broader political framework played in the process of instituting and winning consent for these reforms. Studying these factors is important for ensuring that any changes to education and schooling are not read in isolation from their political context. Speeches particularly capture moments where intellectual and strategic political traditions meet, helping us to form a richer understanding of the motives behind specific reform goals and where they fit into a political landscape. This article analyses speeches and policy documents from prominent politicians who led the Conservative education agenda between 2010–2014 to illustrate how politicians mobilised a deliberate populist strategy and argumentation to achieve specific educational goals, but which have had broader social and political implications. Concepts from interpretive political studies are used to develop a case analysis of changes to teacher training provision and curriculum reform, illustrating how politicians constructed a frontier between ‘the people’ (commonly teachers or parents) and an illegitimate ‘elite’ (an educational establishment) that opposed change. This anti-elite populist rhetoric, arguably first tested in the Department for Education, has now become instituted more widely in our current British politics.     

A science need: Designing tasks to engage students in modeling complex data

In this information age, the capacity to perceive structure in data, model that structure, and make decisions regarding its implications is rapidly becoming the most important of the quantitative literacy skills. We build on Kaput’s belief in a Science of Need to motivate and direct the development of tasks and tools for engaging students in reasoning about data. A Science of Need embodies the utility value of mathematics, and engages students in seeing the importance of mathematics in both their current and their future lives. An extended example of the design of tasks that require students to generate, test, and revise models of complex data is used to illustrate the ways in which attention to the contributions of students can aid in the development of both useful and theoretically coherent models of mathematical understanding by researchers. Tools such as Fathom are shown as democratizing agents in making data modeling more expressive and intimate, aiding in the development of deeper and more applicable mathematical understanding.

Success in higher education: the challenge to achieve academic standing and social position

When students look at their classmates in the classroom, consciously or unconsciously, they see competitors both for academic recognition and social success. How do they fit in relation to others and how do they succeed in achieving both? Traditional views on the drive to succeed and the fear of failure are well known as motivators for achieving academic success but is it that simple a dichotomy? Do students also view success through a fear of success and a purposeful intent to fail – referred to in this text as the drive to fail? Students recognize the importance of social position in class but how is this perceived and will they sacrifice social position for academic standing or vice versa? This paper considers these issues by analyzing the results of a student survey and opinions offered by the students. The discussion considers the survey, academic standing, social position, cultural variables, perception of success and failure, and concluding comments.     

Predicting vertical ground reaction force during running using novel piezoresponsive sensors and accelerometry

ABSTRACT

Running is a common exercise with numerous health benefits. Vertical ground reaction force (vGRF) influences running injury risk and running performance. Measurement of vGRF during running is now primarily constrained to a laboratory setting. The purpose of this study was to evaluate a new approach to measuring vGRF during running. This approach can be used outside of the laboratory and involves running shoes instrumented with novel piezoresponsive sensors and a standard accelerometer. Thirty-one individuals ran at three different speeds on a force-instrumented treadmill while wearing the instrumented running shoes. vGRF was predicted using data collected from the instrumented shoes, and predicted vGRF were compared to vGRF measured via the treadmill. Per cent error of the resulting predictions varied depending upon the predicted vGRF characteristic. Per cent error was relatively low for predicted vGRF impulse (2–7%), active peak vGRF (3–7%), and ground contact time (3–6%), but relatively high for predicted vGRF load rates (22–29%). These errors should decrease with future iterations of the instrumented shoes and collection of additional data from a more diverse sample. The novel technology described herein might become a feasible way to collect large amounts of vGRF data outside of the traditional biomechanics laboratory.