CI 478

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Credit: 3 OR 4 hours.

Educational practice has been increasingly informed by formal and informal data leading to datafication of teaching and learning. This centering of data has the potential to transform how we support learning to be relevant, responsive, and affirming for learners and communities. This course introduces a variety of different perspectives around the connections between data and learning, including learning analytics and responsive teaching, which draw on perspectives of educational data mining, teacher education, and improvement science.

3 undergraduate hours. 4 graduate hours.

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