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Massachusetts Institute of Technology

Hypercubes : learning computational thinking through embodied spatial programming in augmented reality

Abstract

dc:description.abstract

Computational thinking has been described as a basic skill that should be included in the educational curriculum. Several online screen-based platforms for learning computational thinking have been developed during the past decades. In this thesis we propose the concept of Embodied Spatial Programming as a new and potentially improved programming paradigm for learning computational thinking in space. We have developed HyperCubes, an example Augmented Reality authoring platform that makes use of this paradigm. With a set of qualitative user studies we have assessed the engagement levels and the potential learning outcomes of the application. Through space, the physical environment, creativity and play the user is able to tinker with basic programming concepts that can lead to a better adoption of computational thinking skills.

Degree

thesis:*
Department dc:contributor.department
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2018

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Fusté Lleixà, Anna
Advisor dc:contributor.advisor
  • .Chris Schmandt

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • MIT theses are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written permission.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/1721.1/120690
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/120690

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Fusté Lleixà, Anna. Hypercubes : learning computational thinking through embodied spatial programming in augmented reality. Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120690