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81.

Confidence assessment (CA) involves students stating alongside each of their answers a confidence rating (e.g. 0 low to 10 high) to express how certain they are that their answer is correct. Each student’s score is calculated as the sum of the confidence ratings on the items that they answered correctly, minus the sum of the confidence ratings on the items that they answered incorrectly; this scoring system is designed to incentivize students to give truthful confidence ratings. Previous research found that secondary-school mathematics students readily understood the negative-marking feature of a CA instrument used during one lesson, and that they were generally positive about the CA approach. This paper reports on a quasi-experimental trial of CA in four secondary-school mathematics lessons (N = 475 students) across time periods ranging from 3 weeks up to one academic year, compared to business-as-usual controls. A meta-analysis of the effect sizes across the four schools gave an aggregated Cohen’s d of –0.02 [95% CI –0.22, 0.19] and an overall Bayes Factor B01 of 8.48. This indicated substantial evidence for the null hypothesis that there was no difference between the attainment gains of the intervention group and the control group, relative to the alternative hypothesis that the gains were different. I conclude that incorporating confidence assessment into low-stakes classroom mathematics formative assessments does not appear to be detrimental to students’ attainment, and I suggest reasons why a clear positive outcome was not obtained.

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Innovative Higher Education - The presence of research regarding specific student populations demonstrates their importance to the field given the importance of research and knowledge creation in...  相似文献   
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Although many studies have explored shared book reading between preschoolers and their families, very few have examined this practice within a large, nationally representative sample. Using the ECLS-B dataset, this study investigated shared reading among nearly 700 families of diverse ethnic, linguistic, and socioeconomic backgrounds. Coding of families’ book-related discussion focused on the variety of types of talk that parents used during reading. Results showed that parents focused primarily on the meaning of the story, with little attention to the code of the text. The range of talk techniques that parents used was largely independent of background factors such as child gender, ethnicity, or age, as well as family home language. A wider variety of meaning-related remarks by parents was linked to more advanced language skills among preschoolers. Findings provide a portrait of the nature of shared book reading discussion among American families, a profile of the background factors that are linked to this talk, and a precise account of the unique contributions of this talk to key emergent language and literacy competencies.  相似文献   
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The approaches to studying of mathematics and computer-science students were compared in the context of two courses in mathematics: one was a conventional, lecture-based course, and the second was a course that had been developed as a multimedia variant of the Personalised System of Instruction (or Keller Plan). The students were asked to complete the Approaches to Studying Inventory with regard to both of the courses. On the latter course students obtained higher scores on meaning orientation. This is consistent with the idea that appropriate interventions can bring about qualitative improvements in approaches to studying. The effect was only obtained in mathematics students using a between-subjects comparison that was vulnerable to sampling bias. However, the effect was significant in computer-science students, regardless of the nature of the comparison.  相似文献   
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Abstract

In this article we investigate the effectiveness of learning analytics for identifying at-risk students in higher education institutions using data output from an in-situ learning analytics platform. Amongst other things, the platform generates ‘no-engagement’ alerts if students have not engaged with any of the data sources measured for 14 consecutive days. We tested the relationship between these alerts and student outcomes for two cohorts of first-year undergraduate students. We also compared the efficiency of using these alerts to identify students at risk of poorer outcomes with the efficiency of using demographic data, using widening participation status as a case study example. The no-engagement alerts were found to be more efficient at spotting students not progressing and not attaining than demographic data. In order to investigate the efficacy of learning analytics for addressing differential student outcomes for disadvantaged groups, the team also analysed the likelihood of students with widening participation status generating alerts compared with their non-widening participation counterparts. The odds of students with widening participation status generating an alert were on average 43% higher, demonstrating the potential of such a system to preferentially target support at disadvantaged groups without needing to target directly based on immutable factors such as their socio-economic background.  相似文献   
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Foster EM 《Child development》2002,73(6):1904-1914
Research in child development reveals that the sources, level, stability, and uses of family resources have a profound effect on children's well-being and long-term outcomes. Although that research has incorporated economic constructs and measures, developmentalists generally ignore the formal economic framework for thinking about family resources and child outcomes. Building on the premise that children are an investment, that framework explains how families allocate resources and links that decision to other family choices and to key child outcomes, such as schooling, morbidity, and mortality among others. This article explains economists' general approach to family behavior (the so-called theory of household production) and then describes how that framework is useful for thinking about families and children. The article then outlines how economists model parental investment in children and examines the implications of that approach for developmental science. This discussion is illustrated using an example of interest to developmentalists--the involvement of children and adolescents in after-school activities. A concluding section discusses the benefits of and potential barriers to collaboration between economists and developmentalists.  相似文献   
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