Learning Analytics Summit:
Demystifying the Use of ‘Big Data’ for Medical Education
The use of learning analytics in medical education and residency training programs has reached a tipping point: The amount of available and accessible sources of data and educational tools that can aid in understanding how trainees best learn is currently unprecedented. At the same time, educational data mining can literally be a minefield for those unfamiliar with cutting-edge analytics systems, software and platforms. Understanding how to critically interpret, present and use data related to assessment and clinical care is a significant step in advancing and enhancing medical education for the next generation of physicians.
Join a diverse group of medical education stakeholders on October 18-19, 2017 for ICRE’s inaugural Learning Analytics Summit: Demystifying the Use of ‘Big Data’ for Medical Education, and explore how analytics can help trainees reach their full potential. During this two-day summit, our international faculty of experts will engage participants in an interactive format, and discuss issues of validity and design, anchored on real-world examples.
Learning Objectives and Audience
This pre-conference summit is designed for medical educators, researchers, innovators, developers, implementers, accreditors and observers who are interested in learning more about how to best navigate and utilize analytics within their own training programs and/or professional practice. Upon completion of this two-day pre-conference event, participants will be able to:
- understand current, real-world examples of how analytics can support clinical learning;
- become part of a scholarly community articulating key questions for the advancement of educational design for learning analytics;
- discuss key issues around ethics, data sources and analytical approaches to learning;
- explore challenges and opportunities around the implementation of learning analytics tools; and
- explain how learning analytics can bridge the gap in connecting education to enhanced patient outcomes.
Click here to register for the Learning Analytics Summit.
Fee: $490.00 (20 spaces for Residents at $200. Available on a first come first serve basis.)
Location: Quebec City Convention Centre
For more information, please contact email@example.com
Dr. Rachel Ellaway
Dr. Ellaway is a professor in Community Health Sciences and Research Director of the Office of Health and Medical Education Scholarship at the Cumming School of Medicine at the University of Calgary. Her work has encompassed technology and systems in medical education and she has led the development of open source software and data standards that are widely used around the world. Her extensive writing on technology issues in medical education as well as her other work in and around the systems of medical education have established her as a definitive voice in contemporary medical education.
Dr. Stephanie Teasley
Dr. Teasley is a Research Professor in the School of Information and the Director of the Learning Education & Design Lab (LED Lab) at the University of Michigan. She received her PhD in cognitive psychology from the University of Pittsburgh in 1992. Throughout her career, her work has focused on issues of collaboration and learning, looking specifically at how sociotechnical systems can be used to support effective collaborative processes and successful learning outcomes. Her recent work has focused on assembling and utilizing institutionally-held student data to design and evaluate new ways to support student success in higher education. She has been a Program Chair for the Learning Analytics and Knowledge conference (LAK 14) and co-chairs the Learning Analytics Summer Institute (LASI 16 & 17). She became the President of the Society for Learning Analytics Research (SoLAR) in 2017.