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Data-Informed Instruction for Equitable Digital Teaching and Learning

Faculty working with students in classroom using Data-informed Instruction for Equitable Digital Teaching and Learning.

Intended Audience:

Cross functional teams of departmental leaders (chairs, deans), institutional researchers, faculty, and faculty developers

Service Model:

Professional Development, Technical Assistance. This service model is designed for faculty cohorts and cross functional team experiences.

Modalities:

This service format takes a blended approach to virtual professional learning. Participants will engage in synchronous sessions with asynchronous assignments between each session. This service consists of facilitated and scheduled sessions.

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 equity through teaching and 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 recognize inequities students with racialized and minoritized identities experience by examining 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 by race and gender, partner with institutional research to collect, interpret student and course-level outcome data).

Learning Outcomes

Upon completion of this workshop series, participants will be able to:

  1. Identify and generate sources of course-level data useful for improving teaching and learning as part of the continuous improvement process. ​
  2. Develop skills to identify and use the appropriate methodologies for routinely collecting and analyzing disaggregated data
  3. Support faculty to interpret and apply the data to make “real time” informed instructional decisions
  4. 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

Developing an action plan based on data review.

Service Duration

Four 90-minute sessions

Contact Hours

2 hours for application of learning

Time on Task

6-hour synchronous live sessions plus 1 to 2 hours per week to complete elements of the action plan. Total of 12 to 18 hours

Capacity

200 participants; no limit on number of institutions

 

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