The Center for Learning Analytics and Student Success (CLASS) at IU Bloomington is pleased to announce that twenty Learning Analytics Fellows are joining a 2019 cohort that will complete research projects aimed at using big data and student learning analytics to foster student engagement, retention and success at Indiana University.

CLASS advances the use of big data and student learning analytics to empower faculty to conduct actionable research using data that describes students, their observable activities, and outcomes. Collaborations occur with IU Bloomington Assessment and Research (BAR/ bar.indiana.edu) and the Center for Innovative Teaching and Learning (CITL/ citl.indiana.edu).

The Learning Analytics Fellows program funds faculty research annually through a proposal selection process. Since 2015, the program has seen 42 faculty members from 22 different programs conduct research projects studying more than 110,000 students, while utilizing approximately 3.8 million student records. Of the twenty Learning Analytics Fellows joining the 2019 program, nine are returning from previous years, to continue projects they began through this same program. Faculty fellows this year represent the following departments: Applied Health Sciences, Biology, Business, Chemistry, Economics, Learning Sciences Medical Sciences, SPEA, Second Language Studies, and Informatics, providing evidence of the far-reaching possibilities of learning analytics at an institution of higher education.

This year’s Learning Analytics Collaborative Research Grant is awarded to Dan Hickey, Jay Duncan and Jill Robinson. Their project, titled Collaborative Learning Analytics of Developmental, Supplemental and Tutorial Services, will analyze how successful such programs are in helping students succeed in large gateway courses in Chemistry and Informatics.