Advances in Machine Learning for Educational Applications
Exploring how machine learning algorithms can enhance personalized learning experiences and improve educational outcomes for students across different learning environments.
Associate Professor of Computer Science
Exploring how machine learning algorithms can enhance personalized learning experiences and improve educational outcomes for students across different learning environments.
An examination of the ethical considerations and privacy challenges that arise with the increasing use of technology in educational settings and potential solutions.
Analyzing trends and innovations in computer science education, including curriculum development, teaching methodologies, and industry alignment.
Discussing the ethical frameworks and considerations that should guide the development and implementation of artificial intelligence systems.
A comprehensive guide to understanding and implementing modern programming paradigms for beginners, with practical examples and case studies.
Exploring the benefits, challenges, and best practices of collaborative research projects in computer science across institutions and disciplines.
Dr. Sarah Johnson is an Associate Professor of Computer Science at University Name, where she has been a faculty member since 2017. Her research interests include machine learning, data privacy, educational technology, and ethical AI development. She has published over 40 peer-reviewed articles in leading journals and conferences.
Dr. Johnson leads the Educational Technology Research Group, which focuses on developing innovative technological solutions to enhance learning experiences across educational levels. Her work has been funded by the National Science Foundation, the Department of Education, and various industry partners.
Prior to joining University Name, Dr. Johnson was a Research Scientist at Tech Research Labs, where she worked on developing privacy-preserving machine learning algorithms. She also served as a visiting researcher at International University of Technology, collaborating on projects related to adaptive learning systems.
Dr. Johnson is committed to promoting diversity in computer science and regularly mentors underrepresented students in STEM fields. She has developed several outreach programs aimed at introducing computer science to K-12 students and has been recognized for her contributions to computer science education.
Use the form below to send a message directly to Dr. Johnson. Please allow 2-3 business days for a response.
Dr. Johnson is available during the following office hours:
Location: Science Building, Room 305