HCC Seminar Series: Personalized Learning Through Computational Linguistics: Bridging Cognitive Science and Educational Technology

Abstract

In today's information-rich world, literacy has become more challenging than ever before. Learners are required to not only read and understand multiple sources but also critically evaluate their reliability, identify and navigate misinformation, and synthesize diverse perspectives. As these demands grow, so does the potential for educational technologies to play a pivotal role in supporting literacy. However, to be truly effective, these technologies must be capable of adapting to the unique needs of individual learners. This talk will explore how computational linguistics can be leveraged to meet these modern literacy challenges. I will present recent projects that model text complexity, assess writing quality, and provide personalized feedback, all aimed at helping learners effectively engage with and navigate complex information landscapes. The discussion will focus on both the theoretical foundations and practical applications of these technologies, demonstrating how computational methods can transform educational practices and empower learners to succeed in today's digital age.

Biography

Dr. Laura Allen is an Associate Professor in the Department of Educational Psychology at the University of Minnesota. Her research aims to improve educational outcomes by examining how individuals learn and communicate through discourse. She focuses on developing adaptive technologies that use natural language processing to personalize learning experiences, enabling students to better engage with and understand complex material. Through this work, Dr. Allen aims to advance work on educational technologies, ultimately making learning more accessible and effective for diverse populations.