Teaching & Learning Data Sets

Teaching & Learning data sets are:

Learning Analytics Data Architecture (LARC)

Contents

Student data describing biographic and demographic information, historical information about the student's progress and interests during each enrollment term in which they were registered, and academic information about the classes they took while enrolled. LARC is designed for research use and aggregates information from numerous content areas. LARC data is available as a traditional data set in a database, and also is available for download as a set of flat files.

Availability

Refer to the Refresh Schedule for specific refresh times.

Resources

Note: Visit LARC Frequently Asked Questions for additional information.

Student Explorer

Contents

Student data, collected from Learning Management Systems (e.g. Canvas), that enables mentors to see grades in all classes for students who are in the mentor's cohort. Grades and related categorizations allow early warning systems to identify at-risk students who may benefit from intervention. Grades and categorizations are used in the Student Explorer application.

Availability

Refer to the Refresh Schedule for specific refresh times.

Resources

Student Explorer Data Dictionary

Canvas Data/Unizin Data Warehouse (UDW)

Contents

Canvas learning management system data, including term, course, enrollment, and activity data. UDW data is designed for optimized access to Canvas data for reporting and queries.

Availability

Refer to the Refresh Schedule for specific refresh times.

Resources

Online Learning Datawarehouse (OLDW)

Contents

The Online Learning Data Warehouse is a single source for engaging with cross-platform MOOC enrollment and completion. Data has been pulled from the other standalone datasets and transformed into a common structure. The Online Learning Data Warehouse currently houses courses, course enrollment, and course completion data on the U-M open learning experiences on Coursera and edX platforms, while in-course engagement data can be accessed through the platform-specific datasets.

Availability

The data set is generally available noon Sunday–11 p.m. Saturday, except when the data is being refreshed. Refer to the Refresh Schedule for specific refresh times.

Resources

Coursera Spark

Contents

Coursera and U-M first launched a partnership to provide Massive Open Online Courses (MOOCs) globally in 2012. Learning experiences launched between 2012 and 2016 are recorded in the Coursera Spark dataset. The widely publicized launch of MOOCs yielded millions of enrollments in these first courses and the data continues to provide a remarkable lens on the advent of the global MOOC experiment.

Availability

The data set is generally available noon Sunday–11 p.m. Saturday, except when the data is being refreshed. Refer to the Refresh Schedule for specific refresh times.

Coursera Phoenix Redshift

Contents

The higher education community experimented with and iterated MOOCs over their first four years of life. In 2016, changes in design practices were matched by Coursera transitioning from their Spark technology to a new Phoenix platform, complete with mobile-friendly features and a new data structure. The Coursera Phoenix dataset includes all U-M MOOCs launched since 2016, their structure and design, and learner engagement and completion.

Availability

The data set is generally available noon Sunday–11 p.m. Saturday, except when the data is being refreshed. Refer to the Refresh Schedule for specific refresh times.