Industry and Campus Webinar |
In-Depth Design: Data-Driven Design Strategies to Support Learner Outcomes
Designing for digital learning experiences requires thoughtful, deliberate choices that will effectively lead the learner to new understandings, problem solving and, ultimately, completion. A quality design process should include key beneficiaries of the designs—instructors, students, and subject matter experts—as well as educational data mining (EDM) and learning analytics that allow instructors and other educational providers to test and expand pedagogical content knowledge. In this webinar, the speakers will discuss how solutions that use EDM and learning analytics (LA) can expand practitioners' pedagogical content knowledge and their ability to provide effective feedback to learners. You will leave with a deep knowledge of how EDM and LA are providing insights into how students learn (e.g., slowly and incrementally) and how resources using EDM and LA can foster improvements in student learning outcomes and dramatically increase effective learning.
- Identify examples of how learning sciences and LA have revealed nonintuitive findings about commonly held pedagogical beliefs
- Identify ways that LA might extend instructors' ability to provide effective feedback
- Identify the role of instructors in the development of products that rely on EDM and LA
Professor of Human Computer Interaction and Psychology, Carnegie Mellon University
Padraig NashLearning Engineer, Cengage Learning
Resources & Downloads
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