Computers and Education

1404 Auditorium

Computing has a large and growing impact on education. It is improving classroom interactivity, increasing accessibility, facilitating personalized learning inside and outside the classroom, and providing a platform for exploring fundamental questions about how people learn.

At the same time, demand for computer science education is skyrocketing world-wide. Reaching larger and more diverse audiences requires both understanding how people learn computer science and creating best practices for teaching specific computing topics.

Our faculty study broadly in both of these facets of computers and education. We build new systems, run them at scale, and design interfaces and study the human impacts of technology in the classroom. We gather and analyze data about student behavior to better understand the learning process using both data science techniques and qualitative research.

CS Faculty and Their Research Interests

Abdussalam Alawini Active Learning in Large Classrooms, Teamwork and Collaboration, Computer-Based Assessment, Instructional Technologies
Lawrence Angrave Success Factors of Underrepresented Students in Online Courses, Universal Access, Crowd-Based Course Curation
Mattox Beckman Process Oriented / Guided Inquiry Learning, Training Graduate Teaching Assistants, Scalable Education, Semantics Based Autograders
Geoffrey Challen Technology to Improve Classroom Interactivity and Outcomes, Data-Driven Approaches to Teaching and Learning
Neal Davis Incentivizing Productive Student Behaviors, Open Source Curricula, Assessment, Learning Analytics
G. Carl Evans Outcomes Assessment
Wade Fagen-Ulmschneider Data Discovery, Social Media, Open-Ended Creative Assessments
Elsa Gunter Scalable Education, Automated Interactive Assessment, Blended Learning
John Hart Learning at Scale
Geoffrey Herman How Students Learn Computing, Teaching at Scale, Assessing Student Learning
Eric Shaffer Teaching at Scale, Outcomes Assessment, Learning Analytics
Mariana Silva Teaching at Scale, Assessment, Collaborative Learning, Online Learning Platforms
ChengXiang Zhai Intelligent Education Systems, Scalable Education, Applications of Data Science in Education
Craig Zilles Learning Analytics, Pedagogy, Computer-Based Testing, Assessment, Asynchronous Exams, Item Generation, Concept Inventories, Plagiarism Detection

Collaborators

Gabrielle Allen, Astronomy/College of Education STEM Education
Carolyn Anderson, Educational Psychology, Psychology, and Statistics Underrepresented STEM Students, Multi-level Statistics
Suma Bhat, Electrical and Computer Engineering Online Spaces to Support Underrepresented STEM Students
Tim Bretl, Aerospace Engineering Online Learning Platforms, Outcomes Assessment, Prison Education, Pedagogy
Bill Cope, Education Policy, Organization and Leadership e-Learning Platforms
Jennifer Cromley, Educational Psychology STEM Students' Achievement and Retention
Maya Israel, Special Education K-12 Teaching of CS, Video Data Analysis
H. Chad Lane, Educational Psychology AI in Education, Educational Games, Informal CS Education
Robb Lindgren, Curriculum & Instruction Learning in Emerging Platforms (e.g., Simulations, Virtual Environments)
Luc Paquette, Curriculum & Instruction Modeling Student Behavior, Educational Data Mining, Learning Analytics
Michelle Perry, Educational Psychology Online Spaces to Support Underrepresented STEM Students
Matthew West, Mechanical Science and Engineering Online Learning Platforms, Learning Analytics, Computer-Based Testing

Related Research Efforts and Groups