Stina Krist
Christina (Stina) Krist is an Assistant Professor in the College of Education’s Department of Curriculum & Instruction. Her research focuses on both student and teacher learning in science education. She is the PI of the TCA^2 project and coordinates the communication and research efforts between the automated and human analysis teams.
Elizabeth Dyer
Elizabeth Dyer is the Assistant Director of the Tennessee STEM Education Center at Middle Tennessee State University. Her research focuses on mathematics and science teacher learning. In the T(CA)^2 project, she is the expert on the Learning Through Teaching dataset of mathematics classroom video used in the project and works on the qualitative analysis of classroom videos.
Cynthia D’Angelo
Cynthia D’Angelo is an Assistant Professor in the College of Education’s Department of Educational Psychology and the Department of Curriculum and Instruction. Her research focuses on classroom-based learning technologies and multi-modal learning analytics to support teachers and students. In the T(CA)^2 project, she is leading the analysis of the audio data.
Nigel Bosch
Nigel Bosch is an Assistant Professor in the School of Information Sciences and the Department of Educational Psychology. His research focuses on machine learning applications to educational problems. In the T(CA)^2 project, he works on automatic methods of measuring individuals' positions, movement, and posture in classroom videos.
Joshua Rosenberg
Joshua Rosenberg is an Assistant Professor of STEM Education at the University of Tennessee, Knoxville. His research focuses on how learners think of and with data, particularly in science education settings. In the T(CA)^2 project, he is developing statistical software tools for integrating codes from human and automated analyses.
Paul Hur
Paul is a PhD student at the School of Information Sciences with a research interest in educational technology using educational data mining and human-computer interaction approaches. He is helping with video data analysis to work towards better understanding methods to automatically extract insights from classroom videos of students.
Nessrine Machaka
Nessrine is a Ph.D. student in the Department of Curriculum & Instruction at the College of Education. Her research interest is in STEM teacher learning and classroom dynamics. In the T(CA)^2 project, Nessrine is part of the human analysis team and she is working on the qualitative analysis of classroom videos.