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What is Trace Data

Profiling Target Learners for the Development of Effective Learning Strategies: Emerging Research and Opportunities
Data created in online systems that show user behaviors on the system, including time, actions, intercommunications, and other information.
Published in Chapter:
Using a Diversity and Inclusion Approach in Designing Learning for All (in Full Human Dimensionality)
DOI: 10.4018/978-1-7998-1573-0.ch005
Abstract
To enable a fair playing field and to advance learning domains and to enable the advancement of pluralistic social systems, those engaged in designing, developing, and deploying learning in all modalities (face-to-face/F2F, blended, fully online) need to include and support diverse learners to fully engage in the learning and to contribute their utmost. This work explores the types of approaches that benefit diversity and inclusion approaches in teaching and learning. This also proposes some diversity inclusion design interventions based on five general categories—demographics, cultures, languages, learning preferences, and accessibility needs—in an approach dubbed diversity inclusion learning design + development + deployment (DIL3D).
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