Abstraction systems for translating and customizing a blocks-based programming language

StarLogo Nova is a tool that allows users to analyze complex systems by programming agent-based models with a block-based programming language. It can be used in education to study complex systems in a more modern way and is accessible to anyone who has access to the internet. However, there are still a few barriers that reduce StarLogo Nova's impact. First, it is only available in English, so users who are not fluent in English will have difficulty using the powerful tool. Second, novice users who are unfamiliar with programming may find it hard to learn how to program their models, which diminishes their ability to study the science concepts they are trying to model. This thesis takes steps to remedy these problems. First, I develop a system for translating StarLogo Nova into different languages. Then, I work with a fellow researcher in the Scheller Teacher Education Program (STEP) lab on the development of custom blocks: user-defined blocks that can be used to simplify the modeling process. Our design of custom blocks is made with the novice user in mind, creating a more intuitive custom-block creation experience than currently exists in other block-programming languages.

Name thesis:degree_name

Master

Department dc:contributor.department

Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science

Grantor dc:publisher

Massachusetts Institute of Technology

Year dc:date.issued

2018

Author dc:creator

• Wu, David,M. Eng.Massachusetts Institute of Technology.

Advisor dc:contributor.advisor

• Eric Klopfer.

• Electrical Engineering and Computer Science.

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.

Licence dc:rights.uri

• http://dspace.mit.edu/handle/1721.1/7582

Language dc:language.iso

eng

Handle dc:identifier.uri

https://hdl.handle.net/1721.1/122912

OAI identifier oai:identifier

oai:dspace.mit.edu:1721.1/122912