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In this workshop series participants will explore how disaggregated “in the moment” course level data, course outcomes, and institutional trends can illuminate opportunities for addressing disparities in student learning. Participants will begin to engage in sensemaking practices to interpret outcomes through intentional interrogation of engagement patterns, attendance, formative assessments, and grade distributions. This workshop series will equip faculty and academic affairs professionals to rexamine academic outcomes and be empowered to address them through data-informed instruction.
This series will also support participants to create processes and determine methodologies that support data-informed instruction and make plans to scale a coordinated effort that aligns institutional, departmental, programmatic, and course-level goals. By the end of the series, participants will complete an implementation plan for 2 select strategies that lead to data informed instruction (conduct student survey, disaggregate course level data,, partner with institutional research to collect data,and interpret student and course-level outcome data).
Learning Outcomes
Upon completion of this workshop series, participants will be able to:
- Identify and generate sources of course-level data useful for improving teaching and learning as part of the continuous improvement process.
- Develop skills to identify and use the appropriate methodologies for routinely collecting and analyzing disaggregated data
- Support faculty to interpret and apply the data to make “real-time” informed instructional decisions
- Create a plan to develop and implement processes that equip faculty with data at the course and section level and supports data-informed instruction
Service Deliverables
Action plan based on data review
Service Format
Blended
Configuration
Facilitated, scheduled
Service Duration
Eight weeks
Contact Hours
Two hours/week
Time on Task
Total of 12 to 18 hours
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