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Applying the Purpose, Autonomy, Confidence, Engrossment Model of Motivational Design to Support Motivation for
Adam G Gavarkovs1, Danielle Glista, Robin O'Hagan
1Dr. Gavarkovs: Research Associate, Division of Continuing Professional Development, Faculty of Medicine, University of British Columbia, Vancouver, BC. Dr. Glista: Assistant Professor, School of Communication Sciences and Disorders, and Investigator, National Centre for Audiology, Western University, London, Ontario, Canada. Ms. O'Hagan: Research Assistant, National Centre for Audiology, Western University, London, Ontario, Canada. Dr. Moodie: Associate Professor, School of Communication Sciences and Disorders, and Investigator, National Centre for Audiology, Western University, London, Ontario, Canada.
This study introduces the PACE model for motivational design in continuing professional development (CPD). Applying this model can enhance health professionals' motivation and improve learning outcomes in CPD activities.
Area of Science:
- Health Professions Education
- Educational Psychology
Background:
- Health professional motivation significantly impacts continuing professional development (CPD) outcomes.
- Motivational design is crucial for CPD providers to foster effective learning.
Purpose of the Study:
- Introduce the PACE (purpose, autonomy, confidence, engrossment) model of motivational design to CPD providers.
- Describe the application of the PACE model in creating online CPD modules for an interprofessional audience.
Main Methods:
- The PACE model was developed based on theoretical strategies to support autonomous motivation.
- Two online modules were created using the PACE model for an interprofessional audience.
Main Results:
- The PACE model offers theoretically informed strategies to enhance autonomous motivation.
- Application of the PACE model guided the design of online CPD modules.
Conclusions:
- CPD providers can utilize the PACE model to guide motivational design efforts.
- Further research is encouraged to test the theoretical assumptions underpinning the PACE model.
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