Date: Fri, January 23 at 1pm EST
Meeting Agenda: Sign up to attend here
Meeting Link: https://pitt.zoom.us/j/93600718667
Presenters: Dr. Hyejung Kim (Associate Professor, Binghamton University) and Dr. Mack Ottens (Career & Outcomes Data Analyst, Binghamton University
Presentation Title: What Drives STEM Pathways for Autistic Students? The Role of Context, Self-Efficacy, and Outcome Expectations
Presentation Description: This study examines the STEM pathways of autistic students using the High School Longitudinal Study of 2009, focusing on contextual support, self-efficacy, and outcome expectations within social cognitive theory. Despite lower college attendance rates, autistic students showed a strong inclination toward STEM majors. Those who enrolled in college demonstrated higher STEM self-efficacy and more positive expectations, though both declined in mathematics by 11th grade. Self-efficacy strongly predicted STEM choices for autistic students, alongside race and gender, while proximal context was an added factor for non-autistic students. Findings offer insights to strengthen supports for autistic learners pursuing STEM.
Date: Fri, January 23 at 1pm EST
Meeting Agenda: Sign up to attend here
Meeting Link: https://pitt.zoom.us/j/93600718667
Presenters: Dr. Hyejung Kim (Associate Professor, Binghamton University) and Dr. Mack Ottens (Career & Outcomes Data Analyst, Binghamton University
Presentation Title: What Drives STEM Pathways for Autistic Students? The Role of Context, Self-Efficacy, and Outcome Expectations
Presentation Description: This study examines the STEM pathways of autistic students using the High School Longitudinal Study of 2009, focusing on contextual support, self-efficacy, and outcome expectations within social cognitive theory. Despite lower college attendance rates, autistic students showed a strong inclination toward STEM majors. Those who enrolled in college demonstrated higher STEM self-efficacy and more positive expectations, though both declined in mathematics by 11th grade. Self-efficacy strongly predicted STEM choices for autistic students, alongside race and gender, while proximal context was an added factor for non-autistic students. Findings offer insights to strengthen supports for autistic learners pursuing STEM.