My research is focused broadly on student learning. I am interested in the cognitive and motivational factors involved with self-regulated learning. Current projects focus on how students use learning strategies in different disciplines, mediating effects of motivation, and effects of course modality. I am also exploring how technologies, including generative AI, impact student perception of learning.
Research interests from the cognitive line focuses on how students use different learning strategies for academic achievement. I am particularly interested in understanding how:
Cognitive effort facilitates learning achievement
Student perceptions of learning strategy use on perceived learning achievement
Learning strategies operate within disciplinary boundaries
Research interests from the motivation line focuses on how internal and external factors influence student persistence and academic achievement. I am particularly interested in understanding how:
Self-efficacy beliefs moderate student persistence in perceived difficult courses
Knowledge of effective versus ineffective strategies for learning mediate student motivation and performance
AI use influences student motivation for deeper learning
Research interests from the modality line focuses on how the instructional environment and/or modality impact student learning. I am particularly interested in understanding how:
Student achievement differs between face-to-face, online, and hybrid modalities
Instructional modality moderates motivational and cognitive factors influencing academic achievement
Psychological (e.g., anxiety) and situational (e.g., employment) factors predict student enrollment in face-to-face or online modalities