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Titlebook: Assessment Analytics in Education; Designs, Methods and Muhittin Sahin,Dirk Ifenthaler Book 2024 The Editor(s) (if applicable) and The Auth

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发表于 2025-3-21 16:37:30 | 显示全部楼层 |阅读模式
期刊全称Assessment Analytics in Education
期刊简称Designs, Methods and
影响因子2023Muhittin Sahin,Dirk Ifenthaler
视频video
发行地址Provides advances in assessment analytics.Introduces new collaborations‘on designs, methods and solutions in assessment.Offers practical solutions to researchers and practitioners
学科分类Advances in Analytics for Learning and Teaching
图书封面Titlebook: Assessment Analytics in Education; Designs, Methods and Muhittin Sahin,Dirk Ifenthaler Book 2024 The Editor(s) (if applicable) and The Auth
影响因子This book is about the current state of research in online assessment. The growth of this field is set to accelerate exponentially with emerging opportunities for automatic data collection and analysis. Yet, the future of online assessment faces major challenges including, perhaps most importantly, the extent to which assessments, when enabled by technology, can serve simultaneously the needs of learners, teachers and those of the enterprise of education. This book details, specifically, the multiple ways in which online assessment can be utilized, such as:.Providing virtual coaching or tutoring.Offering appropriate scaffolding.Allowing analysis of student decision-making  .Providing the mechanism for students to review and comment on each others digital creations.Creating a space for online discussion.Providing expert coaching for modeling and animation work.With the increased availability of vast and highly varied amounts of data from learners, teachers, learning environments, and administrative systems within educational settings, further opportunities arise for advancing pedagogical assessment practice (Ifenthaler et al., 2018). .This book fully details these opportunities, as
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Matias Sepulveda,Estefania Birrerearning whilst being independent of prior academic achievements. Concurrently, it has been shown that high-information feedback has the largest effect sizes for learning outcomes and academic performance. The following chapter provides insights to an approach to provide formative feedback supported
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Sang-Hun Lee MD,Hong-Geun Jung MD, PhD. The potency of learning analytics rests on both understanding relational dynamics and demonstrating their generalisability and temporal stability—aspects often underexplored in the literature. Recognising the benefits of formative assessments with corresponding feedback in promoting short- and lon
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Jessica J. M. Telleria,Bruce Sangeorzann studied extensively, researchers have only recently begun to systematically examine student diversity in CSCL. Building on a theoretical integration of social psychology research with the CSCL literature, this chapter reports some key findings from an ongoing series of coordinated studies designed
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Jessica J. M. Telleria,Bruce Sangeorzanributed standardized tests in Imperial China to current international tests such as the Programme for International Student Assessment (PISA) and the recent rise of Massive Open Online Courses (MOOCs), scale has motivated and dictated change in assessment. However, while the focus has been on the in
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Minimally Invasive Ankle Arthrodesis tests are widely accepted for large-scale tests and classroom assessments, guiding learning and assessing learners’ progress is also needed. Advances in cognitive psychology have led to an in-depth understanding of how learners acquire and use knowledge. Researchers faced the challenges that determ
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Eva Umoh Asomugha,Adam T. Grothlgorithms that rely on few assumptions. Originally developed as a model for pairwise ratings of chess players, Elo is also used in educational contexts. In formative assessment environments where students can assess their own learning, students are challenged with assessment tasks. As a result of th
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First Metatarsophalangeal Joint Arthrodesislevel of any student more robustly than other measurement models. This strength of IRT is also important for its use in formative assessments. In the context of assessment analytics, learner ability estimated from IRT can be used in both test-based feedback (criterion-referenced, norm-referenced, an
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