Technology Enhanced Assessment : 21st International Conference, TEA 2018, Amsterdam, the Netherlands, December 10-11, 2018, Revised Selected Papers (Communications in Computer and Information Science)

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Technology Enhanced Assessment : 21st International Conference, TEA 2018, Amsterdam, the Netherlands, December 10-11, 2018, Revised Selected Papers (Communications in Computer and Information Science)

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 233 p.
  • 商品コード 9783030252632

Full Description

This book constitutes the proceedings of the 21st International Conference on Technology Enhanced Assessment, TEA 2018, held in Amsterdam, The Netherlands, in December 2018. The 14 papers presented were carefully selected from 34 submissions. They are centered around topics like e-learning, computer-assisted instruction, interactive learning environments, collaborative learning, computing education, student assessment.

Contents

Dynamic Generation of Assessment Items Using Wikidata.- Students' Attitudes Towards Personal Data Sharing in the Context of e-Assessment: Informed Consent or Privacy Paradox?.- Students' and Teachers' Perceptions of the Usability and Usefulness of the first Viewbrics-prototype: a Methodology and Online Tool to Formatively Assess Complex Generic Skills with Video-Enhanced Rubrics (VER) in Dutch Secondary Education.- Assessing Learning in MOOCs through Interactions between Learners.- Corrective Feedback and its Implications on Students' Confidence-based Assessment.- Automated Feedback for Workplace Learning in Higher Education.- Formative assessment of inquiry skills for Responsible Research and Innovation using 3D Virtual Reality Glasses and Face Recognition.- Quizbot: Exploring Formative Feedback with Conversational Interfaces.- Best of Two Worlds: Using Two Assessment Tools in One Course.- Digital Exams in Engineering Education.- A Cost-Benefit Analysis for Developing Item Banks in Higher Education.- Advantages of Using Automatic Formative Assessment for Learning Mathematics.- Getting to grips with exam fraud: A qualitative study towards developing an evidence based educational data forensics protocol.- Assessment of Collaboration and Feedback on Gesture Performance.

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