PROCEEDINGS OF THE 23RD ANNUAL CONFERENCE ON RESEARCH IN UNDERGRADUATE MATHEMATICS EDUCATION
2020
Boston, Massachusetts
The implications of attitudes and beliefs on interactive learning in statistics education
Page: 1158
The presented project combines two core concerns of the authors: University teaching is repeatedly confronted with the problem of very large learning groups and therefore poor individual support. To address this problem, the authors have developed a technical system that automatically answers questions from learners in a statistical introductory lecture. The usage data of this system can be used for a second purpose. Combined with further usage data from other systems and quantitative surveys, it can be determined what influence subject-specific attitudes and beliefs have on learning behavior. The poster presents the technical solution, its educational embedding, results of the evaluation and first insights of the learning analytics