Promoting deep learning in a teacher education programme through self- and peer-assessment and feedback

The incorporation of self- and peer-assessment and feedback has significant potential as a pedagogical strategy to promote deep learning in project based coursework. This study examined the impact of a deeper approach to learning on pre-service teachers’ critical thinking and metacognitive skills. It also examined the impact on student learning outcomes within a project based module with a significant design element. Forty-seven students participated in the pilot of an online peer feedback system. Results suggest that the quality of students’ reflections through peer feedback and overall satisfaction with the module remained high despite students’ citing a preference for instructor feedback. The data also indicate that the incorporation of self- and peer-assessment and feedback resulted in higher quality learning outcomes and enhanced critical thinking skills.     

Global-local divides and ontological politics: feminist STS perspectives on mobile learning for community health workers in Kenya

ABSTRACT

This theoretical paper argues that Feminist Science and Technology Studies (FSTS) can help advance the emancipatory project in critical Ed Tech research. To support this claim, we deploy Tsing’s concept of ‘scale-making projects’ (2005. Friction: An Ethnography of Global Connection. Princeton, NJ: Princeton University Press) to connect ‘global’ narratives to ‘local’ users in a mobile learning project for Kenyan health workers. Drawing from this exemplar case, we discuss more broadly how FSTS provides useful theory and methods for tracing the trans-national power relations of digital technologies ‘on the ground’. The paper concludes by advocating for new forms of emancipatory Ed Tech research – ones framed not only within oppositional pairings such as ‘global’ versus ‘local’, but which elucidate how binaries themselves are constituted through far-flung trans-national arrays of sociomaterial practice.     

A Heuristic Framework of Spatial Ability: a Review and Synthesis of Spatial Factor Literature to Support its Translation into STEM Education

An abundance of empirical evidence exists identifying a significant correlation between spatial ability and educational performance particularly in science, technology, engineering and mathematics (STEM). Despite this evidence, a causal explanation has yet to be identified. Pertinent research illustrates that spatial ability can be developed and that doing so has positive educational effects. However, contention exists within the relevant literature concerning the explicit definition for spatial ability. There is therefore a need to define spatial ability relative to empirical evidence which in this circumstance relates to its factor structure. Substantial empirical evidence supports the existence of unique spatial factors not represented in modern frameworks. Further understanding such factors can support the development of educational interventions to increase their efficacy and related effects in STEM education. It may also lead to the identification of why spatial ability has such a significant impact on STEM educational achievement as examining more factors in practice can help in deducing which are most important. In light of this, a synthesis of the spatial factors offered within existing frameworks with those suggested within contemporary studies is presented to guide further investigation and the translation of spatial ability research to further enhance learning in STEM education.     

Spatial cognition in engineering education: developing a spatial ability framework to support the translation of theory into practice

ABSTRACT

A substantial degree of empirical evidence has illustrated the correlation between spatial skills and performance in engineering education. This evidence has been foundational in the construction of educational interventions which have resulted in both increased levels of spatial ability and increased educational performance and retention. However, the cognitive faculty of spatial cognition is widely recognised as multifactorial and a number of factors exist within this domain which have not been examined as potential influences on educational success. A number of factors have been identified within the pertinent literature which do not appear in any formal framework of spatial cognition. This paper presents a review and synthesis of this work with the amalgam presented as a model to support the further integration of spatial ability into engineering educational practices.     

Improving Campus Climate to Support Faculty Diversity and Retention: A Pilot Program for New Faculty

We report on a series of pilot programs that we developed and carried out to support the success and satisfaction of new faculty, particularly faculty of color. We hope that others committed to retaining and supporting underrepresented faculty can apply our learning from this pilot project, as a whole or in part.Fred P. Piercy, Ph.D. (University of Florida), M.Ed. (University of South Carolina), B.A. (Wake Forest University) is the Department Head of the Department of Human Development at Virginia Tech. His professional interests include family therapy education, HIV social science research and prevention, and family intervention for adolescent drug abusers. Valerie Giddings, Ph.D., M.S. (Virginia Tech), B.S. (Bennett College) is the Associate Vice Chancellor for Lifelong Learning at Winston-Salem State University. Her professional interests include anthropometry and apparel fit, cultural aesthetics for apparel, and diversity issues in higher education. Katherine R. Allen, Ph.D., M.A. (Syracuse University), B.S. (University of Connecticut) is a Professor in Human Development at Virginia Tech. Her interests include family diversity over the life course, adult sibling ties in transition, and persistence of women and minorities in IT majors. Benjamin Dixon, Ed.D. (University of Massachusetts), M.A.T. (Harvard University), B.Mus.Ed. (Howard University) is the Vice President for Multicultural Affairs at Virginia Tech. His interests include diversity, multicultural education, ethical pluralism, and equity and inclusion issues related to organizational management and development. Peggy S. Meszaros, Ph.D. (University of Maryland), M.S. (University of Kentucky), B.S. (Austin Peay State University) is the William E. Lavery Professor of Human Development and the Director of the Center for Information Technology Impacts on Children, Youth, and Families at Virginia Tech. Her interests include positive youth development, leadership issues, female career transitions, and mother/daughter communication. Karen Joest, Ph.D. (Virginia Tech), M.S. (Chaminade University), B.S. (Indiana State University) is an Assistant Professor of Child and Family Studies at the State University of New York, College at Oneonta. Her interests include adolescents exposed to domestic violence, use of qualitative research, and use of technology and feminist pedagogy     

Trait Understanding or Evaluative Reasoning? An Analysis of Children''s Behavioral Predictions

This study tested the hypothesis that in predicting the future behavior of an actor, older children rely on trait inferences, whereas younger children rely on global, evaluative inferences. Vignettes depicting actors engaging in trait-relevant behaviors were presented to 5- and 6-year-olds (N = 67) and 9- and 10-year-olds (N = 71). For each actor, children made predictions of future behavior, evaluated the goodness and badness of the actor, and rated each actor on a relevant trait. A mediational analysis found that the behavioral predictions of older children were mediated solely by trait ratings, whereas those of younger children were mediated by evaluative ratings. Furthermore, unlike older children, younger children made trait-like predictions only when they made an evaluation of the actor. These results suggest that young children utilize evaluative reasoning when making behavioral predictions, and therefore rely on an inferential process that is distinct from that of older children.     

Software for calculating blood lactate endurance markers

Abstract

Blood lactate markers are used as summary measures of the underlying model of an athlete's blood lactate response to increasing work rate. Exercise physiologists use these endurance markers, typically corresponding to a work rate in the region of high curvature in the lactate curve, to predict and compare endurance ability. A short theoretical background of the commonly used markers is given and algorithms provided for their calculation. To date, no free software exists that allows the sports scientist to calculate these markers. In this paper, software is introduced for precisely this purpose that will calculate a variety of lactate markers for an individual athlete, an athlete at different instants (e.g. across a season), and simultaneously for a squad.     

The Rules Grid: helping children with social communication and interaction needs manage social complexity

This article introduces a new practical visual approach, the Rules Grid, to support children who have social communication and interaction needs. The Rules Grid involves a system whereby behaviours of concern can be broken down into smaller behavioural manifestations which in turn lead not only to problem identification and specification, but provide a visible structure to support behaviour change at a reasonably micro level. The paper provides an overview of the theory and research that support visual approaches before outlining some important examples of visual strategies. This is followed by a presentation of a single case study which illustrates how the Rules Grid could be used.