The extensive research experiences provided in the Learning Sciences & Technologies program encourage one-on-one mentoring relationships with our expert faculty. Our faculty projects are well-funded and highly interdisciplinary; they use a range of mixed methodologies including classroom observations, survey data, advanced quantitative methods, and educational data mining.
No matter your interests, you’ll make discoveries and implement changes that improve teaching and learning. Some recent research projects:
- Using the ASSISTments tool, an adaptive online tutoring system to conduct randomized controlled trials
- Using probabilistic modeling, neural networks, and other data-mining and machine learning methods to understand how students progress through wrong answers to right answers
- Creating games and instructional activities with wearable embodied technologies
- Using Graspable Math, a dynamic algebra system, to analyze student strategies
- Examining student affect, motivation, engagement, and learning within intelligent tutoring systems