Pre-Conference Workshop A2
A2 - Developing Data Fluency for Improving Student Success
Date Wednesday, 3 Dec Time – Price: 95.00 € Status: places available

Ellen Wagner
Managing Partner, North Coast EduVisory LLC
Ellen Wagner is an accomplished learning technology professional with career experiences in academic, commercial, and non-profit organizations. She has worked as a tenured professor and university administrator, was a founding ed tech entrepreneur, a senior executive of publicly traded software companies, a journal editor, and a board member of a number of start-up ed tech companies. Her areas of expertise include ed tech, emerging tech, change management, instructional systems design and learning engineering, and digital learning (online and eLearning).
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Karen Vignare
Vice President, Association of Public Land-Grant Universities (APLU)
Karen Vignare, Ph.D., currently serves as Vice Provost, the Center for Innovation in Learning and Student Success at University of Maryland University College (UMUC) leading the search and evaluation for next generation learning models. The Center for Innovation in Learning serves as the research and development arm of UMUC’s academic organization. Dr. Vignare is responsible for identifying innovations and collaboratively implementing with core teams at UMUC. Areas of experimentation will include adaptive learning, onboarding, prior learning, course design, analytics, e-resources, open educational resources, instructional design changes, competency based models. She has been active in online learning for over 15 years. Karen has published research on online learning in areas such as business models, serving special populations, open education, blended learning, corporate training and data organization. She has a Ph.D. from Nova Southeastern University and a M.B.A from the University of Rochester’s William Simon School of Business.

Erin Czerwinski
Manager, Learning Engineering and TEL Product, Carnegie Mellon University
Erin Czerwinski, is the Manager, Learning Engineering and Technology Enhanced Learning Product, for The Simon Initiative and The Open Learning Initiative at Carnegie Mellon University. Erin also serves on the steering committee of the International Consortium for Innovation and Collaboration in Learning Engineering (ICICLE), has authored several chapters in The Learning Engineering Toolkit (Goodell & Kolodner 2023), and was the Chair for the 2023 ICICLE Conference. Erin has deep expertise defining and using learning science methodologies, best practices, and product quality guidelines to deliver impactful learning experiences. She has over twenty years of experience effectively designing, implementing, evaluating, and improving online courses, curricula, and platforms. Erin has provided curriculum leadership at Western Governors University, and was the Director of Learning Engineering at Acrobatiq, Inc. after serving in a Learning Engineering position with CMU’s OLI. She holds an MS in Education from Duquesne University, specializing in instructional technologies.
This workshop is designed for post-secondary education professionals who seek to improve their data fluency to support decision-making related to practices (such as advising, coaching and the use of learning management applications and platforms) that fall under the broad category of student success services. Through interactive exercises and real-world examples, attendees will learn what it takes to convert data into meaningful reports for institutional improvement and enhancing student success. Special attention will be given to common challenges in educational data analysis and strategies for building sustainable data practices within institutional contexts. This workshop is intended for institutional researchers, academic support professionals, student success professionals, programme managers and faculty interested in developing a more sophisticated approach to using data for student success initiatives.
Agenda:
• Introduction (15 minutes)
• Interactive Activity: Discuss data challenges and opportunities in your institution (15 minutes)
• Orientation to Student Success Data (30 minutes)
• From Data Literacy to Data Fluency (45 minutes)
• Break (15 minutes)
• Q&A / Discussion (15 minutes)
• Research vs. Learning Analytics (15 minutes)
• Action Planning (15 minutes)
• Wrap-up and Q&A (15 minutes)
Target Audience:
Participants will see how factors influencing student data provide insight and evidence to support student success decision-making in higher education settings.
Target Audience Sector:
Higher Education; Workplace Learning
Prerequisite Knowledge:
Familiarity with basic descriptive research methods; familiarity with institutional research and evaluation methods.
Outcomes:
Obtain experience working with student data providing insight and evidence to understand and support student success decision-making in higher education settings.