A Conceptual Framework for Assessment Literacy: Opportunities for Physical Education Teacher Education

ABSTRACT

Although more nuanced understandings of assessment have been proposed in the physical education literature, assessment practices remain relatively underdeveloped, and when used, tend to focus on traditional, summative evaluations of learning. However, physical education teacher education programs can be used as an intervention to help pre-service teachers develop assessment knowledge and skill. Toward this end, the purpose of this article is to propose an evidence-based framework for helping pre-service teachers develop assessment literacy that is rooted in occupational socialization theory. The framework provides a four-phase approach to integrating assessment into teacher education, and includes suggestions for how physical education teacher educators can progressively help build pre-service teachers’ assessment knowledge in line with the focus given to instruction and planning. These suggestions acknowledge the technical and sociocultural aspects of learning to use assessment. Implications are discussed along with the need to help graduating pre-service teachers transfer lessons learned into the workplace.     

A Classroom Study on the Relationship Between Student Achievement and Retrieval-Enhanced Learning

Retrieval practice has been shown to produce powerful learning gains in laboratory experiments but has seldom been explored in classrooms as a means of enhancing students’ learning of their course-relevant material. Furthermore, research is lacking concerning the role of individual differences in learning from retrieval. The current study explored the effects of retrieval in a large undergraduate introductory biology course as a function of individual differences in student achievement. Students completed in-class exercises that required them to retrieve course information (e.g., recalling definitions for terms and labeling diagrams) followed by feedback or to simply copy the information without retrieving it. A later quiz over the information showed that high-performing students benefited more from retrieving than copying, whereas middle- and low-performing students benefited more from copying than retrieving. When asked to predict their quiz scores following the in-class exercises, high-performers demonstrated better overall metacognitive calibration compared to middle- or low-performers. These results highlight the importance of individual differences in learning from retrieval and encourage future research using course-relevant material to consider the role of student achievement in classroom-based interventions.     

Name writing and letter knowledge in preschoolers: Incongruities in skills and the usefulness of name writing as a developmental indicator

In this study, 114 preschoolers (M age = 53 months) completed a battery of literacy assessments to explore the interplay between name writing and letter knowledge in early literacy learners. Name writing was significantly related to children's letter knowledge, and the relationships were moderate to high. However, many children exhibited an incongruity in name writing and name-specific letter-recognition skills (i.e., they could write their names but not recognize the letters in their names, or recognize the letters in their names but not write them). When these two groups were contrasted statistically, the children with superior name-specific letter recognition (but poorer name writing scores) had significantly higher letter knowledge scores than the children with superior name writing scores (but poor name-specific letter-recognition scores). Writing one's name, in itself, did not appear to correspond to a literacy advantage. Thus, with regard to the recommendation that name writing be used as a literacy assessment tool in preschool, the results from this study suggest that name writing should be used as a measure of mechanical skill only and should not be used as a means to assess children's conceptual knowledge (of letter names, letter sounds, or the alphabetic principle).     

Situating Special Educators’ Instructional Quality and Their Students’ Outcomes within the Conditions Shaping Their Work

This investigation examined relationships among special education teachers’ working conditions (e.g., classroom characteristics, administrative support), personal characteristics (e.g., experience, certification status, self-efficacy), instructional quality, and students with disabilities’ reading achievement and behavioral outcomes. Data from the 2004–2005 administration of the Special Education Elementary Longitudinal Study were used. Confirmatory factor analysis was used to test the fit of models for five latent factors. Hybrid structural models were applied to test the hypothesis that working conditions would be positively associated with special education teachers’ self-efficacy and their instructional quality, which would, in turn, be positively associated with their students’ reading achievement and behavioral outcomes. Although the initial structural equation model tested failed to support the hypotheses, several significant relationships with theoretical and practical significance were discovered. Directions for future research and practical implications are discussed.     

A Cognitive Behavioral Intervention for Improving Basketball Performance

Abstract

The purpose of the present experiment was to replicate and extend previous developmental modeling research by examining the qualitative as well as quantitative aspects of motor performance. Eighty females of two age groups (5–0 to 6–6 and 7–6 to 9–0 years) were randomly assigned to conditions within a 2 × 2 × 2 (Age x Model Type x Rehearsal) factorial design. Children received either verbal instructions only (no model) or a visual demonstration with experimenter-given verbal cues (verbal model) of a five-part dance skill sequence. Children were either prompted to verbally rehearse before skill execution or merely asked to reproduce the sequence without prompting. Both quantitative (order) and qualitative (form) performances were assessed. Results revealed a significant age main effect for both order and form performance, with older children performing better than younger children. A model type main effect was also found for both order and form performance. The verbal model condition produced better qualitative performance, whereas the no model condition resulted in better quantitative scores. These results are discussed in terms of differential coding strategies that may influence task components in modeling.     

Technology Integration and the Classroom Learning Environment: Research for Action

This article describes initial results of a collaborative action research endeavor between a regional university and a local school (Grade 6 level) using learning environments research to monitor alignment of classroom learning activities with a constructivist viewpoint while integrating technology into the curriculum. Student perceptions as measured by the Constructivist Learning Environment Survey (CLES) were explored. Teacher logs, teacher interviews, and fieldnotes from team discussion groups and classroom observation provided further understanding of interactions in the classroom. A one-way analysis of variance in which the set of four classroom learning environment variables for the CLES, the set of five variables for each of the CLES-Mathematics and the CLES-Science and time of administration (prior to technology integration and after technology integration) yielded no significant changes in student perceptions of the classroom learning environment over the duration of the academic year. Interpretation of results led teachers to construct a new set of questions and a new plan of action to bring their classroom learning environment into closer alignment with a constructivist perspective for teaching and learning. This revised version was published online in July 2006 with corrections to the Cover Date.     

Validity of Wrist-Worn photoplethysmography devices to measure heart rate: A systematic review and meta-analysis

ABSTRACT

Heart rate (HR), when combined with accelerometry, can dramatically improve estimates of energy expenditure and sleep. Advancements in technology, via the development and introduction of small, low-cost photoplethysmography devices embedded within wrist-worn consumer wearables, have made the collection of heart rate (HR) under free-living conditions more feasible. This systematic review and meta-analysis compared the validity of wrist-worn HR estimates to a criterion measure of HR (electrocardiography ECG or chest strap). Searches of PubMed/Medline, Web of Science, EBSCOhost, PsycINFO, and EMBASE resulted in a total of 44 articles representing 738 effect sizes across 15 different brands. Multi-level random effects meta-analyses resulted in a small mean difference (beats per min, bpm) of ?0.40 bpm (95 confidence interval (CI) ?1.64 to 0.83) during sleep, ?0.01 bpm (?0.02 to 0.00) during rest, ?0.51 bpm (?1.60 to 0.58) during treadmill activities (walking to running), while the mean difference was larger during resistance training (?7.26 bpm, ?10.46 to ?4.07) and cycling (?4.55 bpm, ?7.24 to ?1.87). Mean difference increased by 3 bpm (2.5 to 3.5) per 10 bpm increase of HR for resistance training. Wrist-worn devices that measure HR demonstrate acceptable validity compared to a criterion measure of HR for most common activities.     

An Adaptive Bayesian Lasso Approach with Spike-and-Slab Priors to Identify Multiple Linear and Nonlinear Effects in Structural Equation Models

In applied research, such as with motivation theories, typically many variables are theoretically implied predictors of an outcome and several interactions are assumed (e.g., Watt, 2004). However, estimation problems that might arise when several interaction and/or quadratic effects are analyzed simultaneously have not been investigated because simulation studies on interaction effects in the structural equation modeling framework have mainly focused on small models that contain single interaction effects. In this article, we show that traditional approaches can provide estimates with low accuracy when complex models are estimated. We introduce an adaptive Bayesian lasso approach with spike-and-slab priors that overcomes this problem. Using a complex model in a simulation study, we show that the parameter estimates of the proposed approach are more accurate in situations with high multicollinearity or low reliability compared with a standard Bayesian lasso approach and typical frequentist approaches (i.e., unconstrained product indicator approach and latent moderated structures approach).