Assessment Analytics in Education: Designs,

Assessment Analytics in Education: Designs, Methods and Solutions by Muhittin Sahin, Dirk Ifenthaler

Free downloadable pdf ebooks download Assessment Analytics in Education: Designs, Methods and Solutions

Download Assessment Analytics in Education: Designs, Methods and Solutions PDF

  • Assessment Analytics in Education: Designs, Methods and Solutions
  • Muhittin Sahin, Dirk Ifenthaler
  • Page: 412
  • Format: pdf, ePub, mobi, fb2
  • ISBN: 9783031563676
  • Publisher: Springer International Publishing

Download Assessment Analytics in Education: Designs, Methods and Solutions




Free downloadable pdf ebooks download Assessment Analytics in Education: Designs, Methods and Solutions

Overview

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 well as privileges and constraints of analytics-enhanced assessment, harnessing formative as well as summative data from learners and their contexts in order to facilitate learning processes in near real-time and help decisionmakers to improve learning environments.

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