subject predicate object context
53529 Creator ddfea09c87321f113cbedc1a102b844b
53529 Creator ext-2ae151f5c6ef3073d78558c6d638b6f0
53529 Creator ext-bb7e9dbbd6a2dad41d55124d8ec7aa36
53529 Creator ext-7b5d2cb60b30a3c1dea0538ac9377c62
53529 Creator ext-a90b5beea9f1638df2b33f32c7d13abd
53529 Date 2017
53529 Is Part Of repository
53529 abstract Notions of what constitutes quality in learning and assessment design in traditional on-campus or online teaching-learning settings may not translate well in scaled digital environments. This workshop, DesignLAK17, provides the opportunity to explore the issues and opportunities arising from the use of analytics in scaled assessment design. There are opportunities for new paradigms of learning design to exploit the distinctive characteristics and potentials of analytics, trace data and newer kinds of sensory data available on digital platforms, and to transform assessment in the process. However, notions of what is and is not good quality assessment design need to be reconsidered, and new metrics for capturing quality are required to unleash these anticipated potentials of data analytics. This symposium and workshop will focus on what might be appropriate quality metrics and indicators for analytics-based assessment design in scaled learning. It aims to build a community of interest around the topic, to share perspectives, and to generate design and research ideas.
53529 authorList authors
53529 presentedAt ext-ea139d681c8e594f48f921ff85a2a64b
53529 status peerReviewed
53529 type AcademicArticle
53529 type Article
53529 label Ringtved, Ulla; Milligan, Sandra; Corrin, Linda; Littlejohn, Allison and Law, Nancy (2017). Quality metrics and indicators for analytics of assessment design at scale. In: LAK 17, 13-17 Mar 2017, Simon Fraser University, Vancouver, Canada.
53529 label Ringtved, Ulla; Milligan, Sandra; Corrin, Linda; Littlejohn, Allison and Law, Nancy (2017). Quality metrics and indicators for analytics of assessment design at scale. In: LAK 17, 13-17 Mar 2017, Simon Fraser University, Vancouver, Canada.
53529 Title Quality metrics and indicators for analytics of assessment design at scale
53529 in dataset oro