Learning Sciences and Technologies
Understanding and improving how people learn using technology is at the core of human-computer interaction, learning sciences and educational technologies.
This interdisciplinary area builds on insights from cognitive science, psychology, education, computer science, and design to create effective educational tools and accessible learning environments. As technologies change, the learning sciences do as well. Today, educational technologies also include mixed-reality learning environments, educational games, intelligent tutoring systems, online courses, artificial intelligence (AI), learning analytics, and more.
Digital learning experiences can be adaptive, accommodating and responding to individual students' needs, which can lead to better engagement and improved learning outcomes. As HCII researchers continue their work, the LearnLab offers resources and support to the broader learning community, including a week-long Summer School for other educators.
Students who want to learn more about this HCI research area might be interested in the following courses:
Faculty Researchers
VizWiz
PROJECTVizWiz answers questions that people who are blind or visually impaired have about the things around them. Users take a photo, ask a question, and receive...
MILLEE: Mobile and Immersive Learning for Literacy in Emerging Economies
PROJECTCell phone applications that enable children in the villages and slums in the developing world to acquire language and literacy in immersive, game-like en...
SimStudent
PROJECTSimStudent is a synthetic student that learns cognitive skills from worked-out examples (i.e., demonstrated solutions) and through tutored problem-solving...
Computational Modeling and Data Mining
PROJECTComputational Modeling and Data Mining is one of four thrusts within the Pittsburgh Science of Learning Center. This thrust is pursuing the scientific goa...
Metacognition and Motivation
PROJECTMetacognition and Motivation is one of four thrusts of the Pittsburgh Science of Learning Center. It has the goals of developing a better understanding of...
Social and Communicative Factors in Learning
PROJECTSocial and Communicative Factors is one of four thrusts within the Pittsburgh Science of Learning Center. The research investigates how human linguistic i...
Cognitive Factors: A Thrust Within the Pittsburgh Science of Learning Center
PROJECTCognitive Factors is one of four thrusts of the Pittsburgh Science of Learning Center. It is aimed at understanding cognitive learning—changes in knowledg...
ACT-R
PROJECTThe ACT-R project focuses on developing a robust and general cognitive architecture and applying it to the modeling of human interaction with complex dyna...
Rapid Development of Cognitive Models and Tutors
PROJECTCognitive Tutors have been successful in raising students’ math test scores in high-school and middle-school classrooms, but their development requires co...
Project LISTEN’s Reading Tutor
PROJECTAn automated Reading Tutor displays stories on a computer screen, listens to children read aloud, adapts Carnegie Mellon’s Sphinx-II speech recognizer to ...
Pittsburgh Science of Learning Center
PROJECTThe Pittsburgh Science of Learning Center is leveraging computational theory and cognitive modeling to identify the instructional conditions that cause ro...
Pathway
PROJECTThe Physics Teaching Web Advisory (Pathway) is creating a proof-of-concept demonstration of a new type of digital library for physics teaching. It brings ...