1.00 - 1.30 Introduction of BayLAN and meeting participants
We aim to grow a local network of researchers and professionals in the field of learning analytics, which can be used to exchange and validate innovative ideas and to provide local access to research and expertise. As a first networking activity, participants will introduce themselves. If you are attending the meeting, please complete a Google slide with your information (instructions and slide template can be found here).
1.30 - 3.00 First round of speakers
The Intersection of Improvement Science and Data Science: Examples, Methods, and Lessons Learned
Developing the Faculty Mentor Dashboard to Support New Faculty in the Carnegie Math Pathways
Understanding our System: Incompletes and English Learners
3.00 - 3.30 Break, networking
3.30 - 5.00 Second round of speakers
Using Multi-Level Propensity Score Matching to Understand Student Success in the Carnegie Math Pathways
Rapid Cycle Evaluations and Learning System Data
Chegg and Kidaptive
Evaluating Outcomes of Educational Products in Industry: Case studies from Chegg
Evaluating educational games at Kidaptive.
5.00 - 7.00 Drinks and networking at the Dutch Goose