Search Results - "Romiti, Sara"

Teaching in the COVID-19 Era: Understanding the Opportunities and Barriers for Teacher Agency by Ehren, M.C.M, Madrid, R, Romiti, Sara, Armstrong, P.W, Fisher, P, Mcwhorter, D.L

“…The school closures necessitated by the COVID-19 pandemic created a rapid shift to alternative modes of educational delivery, primarily online learning and…”
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A professional development project to support the evaluation culture in the school by Letizia Giampietro, Sara Romiti

“…This contribution illustrates a professional development project on school evaluation and self-evaluation. In order to support the National Evaluation System,…”
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Assessing Mathematics Classroom Goal Structures in a Sample of Italian Students During Sixth Grade by Poliandri, Donatella, Sette, Stefania, Vinci, Emanuela, Romiti, Sara

“…The present study analyzed the factor validity of the Patterns of Adaptive Learning Scale (PALS) to assess students’ perceptions of mathematics classroom goal…”
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Teaching in the COVID-19 era: Understanding the opportunities and barriers for teacher agency by Melanie Ehren, R. Madrid, Sara Romiti, P.W. Armstrong, P. Fisher, D.L. McWhorter

“…The school closures necessitated by the COVID-19 pandemic created a rapid shift to alternative modes of educational delivery, primarily online learning and…”
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A professional development project to support the evaluation culture in the school by Giampietro, Letizia, Romiti, Sara

“…This contribution illustrates a professional development project on school evaluation and self-evaluation. In order to support the National Evaluation System,…”
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Okapi: Generalising Better by Making Statistical Matches Match by Bartlett, Myles, Romiti, Sara, Sharmanska, Viktoriia, Quadrianto, Novi

“…We propose Okapi, a simple, efficient, and general method for robust semi-supervised learning based on online statistical matching. Our method uses a…”
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RealPatch: A Statistical Matching Framework for Model Patching with Real Samples by Romiti, Sara, Inskip, Christopher, Sharmanska, Viktoriia, Quadrianto, Novi

“…Machine learning classifiers are typically trained to minimise the average error across a dataset. Unfortunately, in practice, this process often exploits…”
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