Strategic pay reform: A student outcomes-based evaluation of Denver's ProComp teacher pay initiative

Denver Public Schools utilizes one of the nation's highest profile alternative teacher compensation systems, and a key element of Denver's Professional Compensation System for Teachers (ProComp) is pay for performance. This study analyzes the student achievement implications of ProComp utilizing matched student- and teacher-level data from 2003 to 2010. We find that student achievement increased during the years ProComp was implemented, but that these gains were observed for students taught by teachers enrolled in ProComp's alternative compensation system as well as non-participating teachers. While the findings are not consistent across grades and subjects, there is some evidence that teachers voluntarily opting into ProComp are more effective than those who do not volunteer. Finally, some ProComp bonuses were well targeted towards value-added measures of teacher effectiveness while others were not.     

Long-term effects of synthetic versus analytic phonics teaching on the reading and spelling ability of 10?year old boys and girls

A comparison was made of 10-year-old boys and girls who had learnt to read by analytic or synthetic phonics methods as part of their early literacy programmes. The boys taught by the synthetic phonics method had better word reading than the girls in their classes, and their spelling and reading comprehension was as good. In contrast, with analytic phonics teaching, although the boys performed as well as the girls in word reading, they had inferior spelling and reading comprehension. Overall, the group taught by synthetic phonics had better word reading, spelling, and reading comprehension. There was no evidence that the synthetic phonics approach, which early on teaches children to blend letter sounds in order to read unfamiliar words, led to any impairment in the reading of irregular words.     

Learning analytics: challenges and limitations

Learning analytic implementations are increasingly being included in learning management systems in higher education. We lay out some concerns with the way learning analytics – both data and algorithms – are often presented within an unproblematized Big Data discourse. We describe some potential problems with the often implicit assumptions about learning and learners – and indeed the tendency not to theorize learning explicitly – that underpin such implementations. Finally, we describe an attempt to devise our own analytics, grounded in a sociomaterial conception of learning. We use the data obtained to suggest that the relationships between learning and the digital traces left by participants in online learning are far from trivial, and that any analytics that relies on these as proxies for learning tends towards a behaviorist evaluation of learning processes.     

Engagement in Academic Work: The Role of Learning Goals, Future Consequences, Pleasing Others, and Perceived Ability

Engagement in academic work was viewed from a multiple goals perspective. Two studies were conducted in which high school math students completed an instrument measuring five goals students might have for doing academic work (learning goals, performance goals, obtaining future consequences, pleasing the teacher, and pleasing the family), perceived math ability, self-regulatory activities, strategies (deep or shallow) used when studying for math, and the amount of effort and persistence expended on the class. Factor analysis indicated that the five goals scales and the perceived ability scale represented unique factors. The correlations among the variables revealed theoretically consistent interrelationships. Multiple regression analyses indicated that various goals (e.g., learning goals, obtaining future consequences, and pleasing the teacher), perceived ability, and some interactions accounted for significant amounts of variance in the task engagement measures (self-regulation, strategy use, effort, and persistence) and achievement. Results are discussed in relation to current theory and their practical implications.     

Educating for inquisitiveness: A case against exemplarism for intellectual character education

ABSTRACT

One natural application of Linda Zagzebski’s exemplarist moral theory (EMT) is found in the context of moral and intellectual character education. Zagzebski discusses this application in her recent book, commenting that ‘exemplars can serve as a guide for moral training’ (p. 129) and endorsing ‘the learning of virtue by imitation’ (p. 129). This theme has been pursued compellingly by authors working at the intersection of virtue ethics and education, contributing to an emerging case for exemplarist-based approaches to character education. I focus on intellectual character education and draw attention to an interesting case in which exemplarism in the classroom may be seen to inhibit, rather than promote, the development of intellectually virtuous character. This is the case of virtuous inquisitiveness.     

Use of anatomical dolls by Boston-area professionals.

Anatomical dolls are a widely used but controversial tool for interviewing child victims of sexual abuse. The present research examines how a representative sample of professionals who evaluate children actually use the dolls. Contrary to past reports, the results revealed that 96.6% of professionals who use the dolls had received training in anatomical doll use, 77.8% followed some standard protocol for interviewing, and 97.3% had at least 1 year of experience with anatomical dolls. The results also revealed that the majority of professionals did not engage in the "leading" behaviors of presenting unclothed dolls to children or undressing the dolls for the child, again contrary to past reports. The present research indicates that the professionals in this sample are more experienced and better trained than is typically thought.     

A case study of graduate professional development in the TAFE sector

There has been very little provision of professional development for teachers of mathematics in the technical and further education (TAFE) sector and even less evaluation and reporting on such programs. This paper presents a model for a professional development program in mathematics that was designed for TAFE teachers, as well as those from the K-12 sector. It is a case study that describes the implementation of the model with a group of TAFE teachers, considering such issues as the professional development needs perceived by the teachers, the components included in the program, and the evidence for the short- and long-term effectiveness of the program. The flexible structure of the program and the qualitative research base for the evaluation could be used as a model for professional development in other TAFE curriculum areas.     

The effect of neighborhood racial composition on black and white attitudes

The impact of the racial composition of neighborhoods, rather than race per se, is examined in this study. The sample includes 1027 families with children attending 5 of the 11 former school districts in New Castle County, Delaware. Questionnaires were sent to these families in the spring of 1978, prior to school desegregation, and again in the spring of 1979, at the end of the first year of desegregation. Scales were developed to measure attitudinal variables for both parents and students. These included racial attitudes, attitudes toward school desegregation, and attitudes about education. Results show that attitudes both before and after desegregation varied according to the neighborhood racial composition. Thus it is important in future studies of racial attitudes to examine neighborhood racial characteristics as well as the race of the individual.This research has been supported by a grant from the Rockefeller Foundation, Division of Social Sciences.