Wonderland : constructionist science learning in mixed reality
Name
1126790825-MIT.pdf
Size
16.06 MB
Format
Adobe PDF
Checksum (MD5)
40e9ef20c5997096ce079d39484d3124
Author(s)
Khan, Mina(Cognitive data scientist)Massachusetts Institute of Technology.
Advisor(s)
Pattie Maes.
Alternative Title
Constructionist science learning in mixed reality
Date Issued
2018
Publisher
Massachusetts Institute of Technology
Abstract
Science concepts lie at the heart of our everyday experiences, yet people feel disconnected from science because of the abstract way it is taught in schools. We wanted people to learn science concepts in the real world in playful ways, and used Mixed Reality (MR) to allow people to visualize and play with science concepts in the real world. We focused on Newtonian physics as our first science concept in Wonderland because Newtonian physics is commonly experienced by people in their everyday lives, especially in playful contexts, e.g., when they throw a ball. We created simple Newtonian physics tools, which served as building blocks of Newtonian physics systems to allow learners to build their own Newtonian physics models and puzzles for constructionist learning. We include different types of custom visualizations, e.g., graphs, velocity and acceleration vectors, etc, to allow the users to visualize the underlying physics of objects in scientifically accurate, yet intuitive ways. Our rewinding interface also enables users to play, pause, rewind, replay, speed up and slow down physics so that users can learn from repeated physics experimentation. We created two versions of Wonderland: a Hololens version for an immersive head-worn MR experience, and an ARKit version for a more widely accessible MR experience on iOS devices. Our experiments show that users enjoy solving Newtonian physics puzzles in Wonderland, and find the visuals and simulations helpful in understanding Newtonian physics concepts. We aim to further develop and deploy Wonderland to promote science learning and exploration in the real world.
Description
Thesis: S.M., Massachusetts Institute of Technology, School of Architecture and Planning, Program in Media Arts and Sciences, 2018
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 95-99).
Subjects
Program in Media Arts and Sciences
MIT Department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
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