Data-driven-Learning: Student-focused Teaching for Learners’ Engagement and Performance in Challenging Times (66987)
Session Chair: Kriangkrai Vathanalaoha
Sunday, 23 April 2023 14:30
Session: Session 3
Room: Ballston Room
Presentation Type:Oral Presentation
In our modern world, much more data are being collected on students than ever before. The rapid technological changes create new chances for educators and students to track their achievements and collect data about educational progress. The large quantity of data being collected forces teachers and faculty staff to think about questions like “How can the data be effectively used to improve the existing curriculum?” and “What can be learned from the data that we have collected?” and “What are the advantages for the learners?”. These tracking activities can be defined as learning analytics. It is the measurement, collection, analysis, and reporting of data about learners and their contexts, for understanding and improving learning and the environments in which it occurs. Effective usage of learning analytics helps understand the learning patterns, social and motivational aspects to enhance the students’ learning outcomes. Learning analytics is used to predict students' learning process and its intended outcomes providing faculty the feedback towards supporting their academic achievement. In this presentation, educators from Germany will present evidence-based best-practice-cases dealing with the mentioned challenges in the classroom and beyond and explain how learning analytics can be used effectively for learners and teachers. Moreover, different tools and effective approaches will be explained to give students a better learning experience and improve the teaching quality.
Authors:
Andrea Honal, DHBW Mannheim, Germany
About the Presenter(s)
Ms Andrea Honal is an Independent Scholar at the DHBW Mannheim in Germany!
See this presentation on the full schedule – Sunday Schedule
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