Strategic use of data has become a priority in higher education to improve student outcomes, experinces, and success. This session explores how cross-functional teams of faculty, staff, and leaders engage in an intentional data journey that transforms teaching and learning, student support services, and institutional practices to holistically serve students.
As colleges and universities increasingly rely on digital platforms, the effective use of data has emerged as an intentional strategy to improve instruction, student success, and their overall college experience. Campuses use a variety of tools such as learning management systems (LMS), early alert systems, assessment platforms, and analytics dashboards to collect data. It is important that institutions are intentional in how and who they share that data with. In many cases college’s key stakeholder faculty, student affairs practitioners, department leaders, and institutional researchers work in silo rather than partnership, hence the need for cross functional teams to lead institutional transformation using data informed innovation that advances improving student outcomes, experiences, and success.
This session addresses the need for collaboration by exploring the development of cross-functional teams (CFT) that go on an intentional data journey focused on transforming institutional practices to support student learning, equity, and success. It is important not to use data as a compliance or reporting mechanism but as a means to transform student experiences and advance professional learning, instructional innovation, and shared institutional accountability.
We will examine how to intentionally build cross-functional teams that are representative of diverse roles, expertise, and perspectives while working collaboratively to identify challenges, interpret data, and implement practices, approaches, and policies that lead to improved student outcomes. We will discuss models for structuring these teams and establishing shared vision for reaching strategic goals related to student success. Within CFTs participants learn how to effectively, purposefully, and meaningfully use data at all levels of the institution. Through real-world case studies, we will demonstrate how data informed cross-functional teams lead to more collaborative decision-making, improved responsiveness to student needs, and more inclusive educational environments.
We propose a shift from passive data consumption to intentional data literacy and transparency through a collaborative process where teams engage in inquiry, reflection, and action planning based on evidence. Intentional data use focuses on emerging trends, identifying equity gaps, and informing pedagogical or programmatic modifications.
Communities of Practice: Sustaining Growth through Peer-to-Peer Learning
One of the most effective and scalable approaches to sustaining data-informed practices is the establishment of communities of practice (CoPs). CoPs bring together constituents from across the college with shared interests and goals, while creating peer networks that facilitate change.
In this session, we will share case studies of CoPs organized around themes such as:
Data informed instruction
Culturally responsive teaching and learning
Data-driven assessment
We will provide guidance on how to launch and sustain CoPs, including leadership models, facilitation practices, and alignment with institutional goals. When supported effectively, CoPs foster a sense of agency and ownership among participants, and they become powerful catalysts for both individual and institutional learning and transformation.
Creating a Culture of Shared Responsibility
Central to these PL efforts is the goal of building a culture of shared responsibility. This requires institutions to shift from transactional practices and intentionally move towards a structure where all institutional roles work collaboratively to ensure student success.
Cross-functional teams support this culture by making data use routine, collaborative, and mission-aligned. These teams see data as an opportunity for innovation that guides the implementation of real-time interventions.
We will discuss leadership strategies for fostering this culture, including:
Creating shared language and goals across departments
Having transparent data conversations at all levels of the institution
Celebrating and recognizing cross-functional collaboration and innovation
Challenges and Successes: What to Expect and How to Respond
While cross-functional, data-informed collaboration has great potential, these teams will encounter obstacles while they are on the data journey. Presenters will share real-world challenges institutions often face, including:
Data skepticism or resistance among faculty or staff
Disparate data systems that are not integrated or accessible
Lack of time, support, or incentives for collaboration
Concerns around data ethics and student privacy
We will also share strategies that have helped institutions overcome these challenges—such as starting with small pilot teams, aligning with institutional strategic plans, ensuring transparency in data processes, and offering just-in-time professional learning.
Case studies will highlight success stories, such as improved gateway course completion, increased faculty satisfaction with professional development, and stronger alignment between academic and student support services.
Next Steps and Takeaways
To support application beyond the session, participants will be guided through a “Data Journey Action Plan” that helps them:
Identify key stakeholders and potential partners for cross-functional collaboration
Assess the current state of faculty development and data use at their institution
Map out short-term and long-term goals for building or expanding their data-informed culture
Plan for sustainability and scaling through leadership, professional learning, and communication
By building cross-functional teams, investing in staff and faculty development, and cultivating sustainable professional learning cultures, colleges and universities can harness the full potential of data to improve instruction, close equity gaps, and advance student success. Participants will leave empowered with the tools, frameworks, and vision to lead their own intentional data journeys and foster lasting impact at their institutions.
Prior to joining Every Learner, Norma worked in the private sector as a consultant and led the development of a new distance learning revenue center at a science education and supply company. Norma was also an associate dean within the Colorado Community College System (CCCOnline) and a tenured associate professor at Sinclair Community College. While there, she directed the Dayton Urban STEM Academy, provided leadership for initiatives designing and developing online biology courses; and was Associate Director for PLTW Biomedical Sciences - Ohio.
Data Informed Innovation: Empowering Cross-Functional Teams to Advance Institutional Transformation and Student Success
Track
Professional Development, Quality Assurance, and Support
Description
11/19/2025 | 2:00 PM - 2:45 PMEvaluate Session
Location: Southern Hemisphere V
Track: Professional Development, Quality Assurance, and Support
Session Type: Education Session (45 min)
Institution Level: Higher Ed
Audience Level: Intermediate
Intended Audience: Administrators, Design Thinkers, Faculty, Instructional Support, Learning & Development Professionals, Researchers
Special Session Designation: Blended Learning, Community Colleges, Instructional Designers, Leaders and Administrators
Session Resource
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