Webvent

Create New Habits: The Neuroscience of Goal Setting and Behavior Change

Tuesday, December 4, 2012 10:35am - 11:25am EST  
Host: Association for Talent Development
By: Elliot Berkman, University of Oregon

Most learning solutions try to change people's behaviors, and a key aspect of changing behavior is setting goals. However, goals come and go for a lot of people without the desired impact ever even being close to realized. This is in part because our models for goal setting need a significant refresh to take into account how the brain actually functions. This session explores the hows and whys of goal setting from a neuroscience perspective, to help learning designers integrate the latest findings about goal setting into the design of learning interventions. You will discover the key foundations of successful behavior change processes through goal setting, which draws on a number of counter-intuitive discoveries about performance.

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Opening Keynote Session: Presented by David Rock, Co-Founder & Director, The Neuroleadership Group

 

Track 1: Designing Learning
Session 1: Make Learning Sticky – Presenter: Grace Chang, Ph.d. (UCLA)
Session 2: Create New Habits: The neuroscience of goal setting and behavior change – Presenter: Elliot Berkman, Ph.d. (University of Oregon)

 

Track 2: Facilitating Learning
Session 3: Peak Performance for Trainers: The neuroscience of managing your mental state – Presenter: Matt Lieberman. Ph.d. (UCLA)
Session 4: Create More 'Aha' Moments That Embed Deep Learning – Presenter: Josh Davis, Ph.d. (Columbia University)

 

Closing Message: Presented by Tony Bingham, President & CEO, ASTD

Presenter

Elliot Berkman
Elliot Berkman

University of Oregon

Elliot Berkman is Assistant Professor of Psychology at the University of Oregon. The central aim of Dr. Berkman’s research is to understand how behavioral, motivational, and neural systems work together to help us pursue our goals. His research combines the distinct strengths of several research methods including functional magnetic resonance imaging (fMRI), cross-sectional and longitudinal survey methods, and laboratory experiments. He teaches courses in statistics, neuroimaging, and social psychology. His research and teaching have been recognized with the Joseph A. Gengerelli Distinguished Dissertation Award, the UCLA Social Psychology Dissertation Award, the Arthur J. Woodward Peer Mentoring Award and the UCLA Distinguished Teaching Award. He received doctoral degrees in Social Psychology from UCLA in 2010, and bachelors degrees in Psychology and Mathematics from Stanford in 2002.


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