Date
Wednesday, October 14, 2026
Time
1:15 PM - 2:05 PM
Location Name
RL 24
Name
Designing AI for Student Motivation: Autonomy, Competence, and Belonging in Practice
Description

How AI is introduced in a classroom shapes more than what students learn. It influences whether they feel capable, trusted, and connected, or monitored, confused, and disengaged. It also shapes whether students build the soft skills the future job market demands: problem-solving, self-agency, creative collaboration, and communication. WPS Institute is exploring how AI can support three research-backed conditions for student motivation: autonomy, competence, and belonging, grounded in Self-Determination Theory. We are studying this with Crafting Tomorrow, a Babson Generator AI lab initiative, and Boys and Girls Clubs, where students use AI on real community problems. Participants audit classroom cases through the three-part lens and leave with a design lens, a redesigned AI use case, and a way to evaluate AI use in schools. WPS methodology has documented results: a 50% reduction in chronic absenteeism in Salem and an effect size of 1.78 in self-directed learning (Harvard GSE).

Session Type
Traditional Workshop
Track
AI in the Classroom
Secondary Track
Instructional Practice and Coaching
Primary Audience
Middle/High School
Secondary Audience
General Educators
Fall Conference Strands
Inspire
MA DLCS Strands
Computing and Society, Digital Tools and Collaboration