Learning Sciences and Technologies
MILLEE: Mobile and Immersive Learning for Literacy in Emerging Economies
Cell phone applications that enable children in the villages and slums in the developing world to acquire language and literacy in immersive, game-like environments. These applications target localized language learning needs and aim to make literacy resources more accessible to underprivileged children, at times and places that are more convenient than schools.
Learning Sciences and Technologies FacultySimStudent
SimStudent is a synthetic student that learns cognitive skills from worked-out examples (i.e., demonstrated solutions) and through tutored problem-solving. Technically, SimStudent is an application of programing by demonstration to generate a cognitive model.
Learning Sciences and Technologies SimStudent Project Web FacultyComputational Modeling and Data Mining
Computational Modeling and Data Mining is one of four thrusts within the Pittsburgh Science of Learning Center. This thrust is pursuing the scientific goal of using large-scale data to advance precise, computational theories of how students learn academic content.
Learning Sciences and Technologies learnlab.org/research/wiki/index.php/Computational_Modeling_and_Data_... FacultyMetacognition and Motivation
Metacognition and Motivation is one of four thrusts of the Pittsburgh Science of Learning Center. It has the goals of developing a better understanding of how metacognitive processes and motivation interact with learner factors to influence robust student learning outcomes. Researchers are testing whether and how student learning environments can leverage improved metacognition and motivation to increase the robustness of student learning.
Learning Sciences and Technologies learnlab.org/research/wiki/index.php/Metacognition_and_Motivation FacultyPages
