A Structural Model for Predicting Student Learning Outcomes

• In Event: Moscone Center North Roundtable Session 9
  In Roundtable Session: Measuring Undergraduate Outcomes for Learning and Critical Thinking

Abstract

Measuring self-reported learning outcomes is viewed as a relatively new method to assess the quality and effectiveness of colleges and universities. This study investigated the relationship between multiple predictors of self-reported student learning outcomes, including engagement in educationally purposeful activities and the strategies that students employ to guide their learning. The structural equation model showed that learning outcomes were directly affected by academic engagement and cognitive strategies. However, the effects of academic engagement and cognitive strategies significantly vary with different types of learning outcomes – critical thinking and communication, research skills, and cultural appreciation. The findings suggest that academic engagement and cognitive strategies predicted critical thinking and communication outcomes best.

Authors

• Fatma Altinsoy, Texas A&M University

• Ashley Majzun, Texas A&M University - College Station

• Oiman Kwok, Texas A&M University - College Station