Abstract
The analysis of data generated through the learning process offers educators a new lens for assessing and supporting learners. Through analytics and data mining, researchers can discover which behaviors and decisions lead to learner success, identify learners who are at risk of dropping out or failing, personalize and adapt learning content and instruction to meet individual needs, and improve and optimize the use of institutional support structures to assist learners. This webinar offers a "state of the field" analysis of learning analytics and educational data mining. During this session, we’ll review
- the current state of learning analytics,
- the types of tools/software and methods useful for evaluating and understanding learner success,
- the trends and future directions for the field, and
- ways to get involved.
Additional Resources