Applied Research
Student Academic Success Data-Informed Innovations
Data-informed student academic success innovations are comprehensive programs characterized by five essential features. They are proposed and developed:
- by analyzing academic risk factors (e.g., Math Placement scores) while also considering additional socio-economic risk factors such as first-generation college student status.
- jointly by
- the academic unit with the appropriate subject matter expertise (e.g., mathematics)
- the EVC’s executive branch for advancing teaching and learning, the Teaching + Learning Commons, and
- the subject-matter placement and diagnostic expertise – when appropriate (e.g., Math Testing and Placement and Math Diagnostic Testing Project)
- by focusing on both student academic support as well as the pedagogical excellence of faculty and instructional assistants
- with the inclusion of formative and summative assessment strategies, assessment of students’ learning gains, continuous tracking of students’ academic success in subsequent courses (e.g., academic success of Math 2 students in Math 3C, etc.)
- as a first and high-touch initiative that is the foundation for a multi-quarter/year commitment by partners to collaborate and build a contiguous student-centered learning environment
Examples:
Reports are available upon request to commons@ucsd.edu.