A framework for teaching biology using StarLogo TNG : from DNA to evolution

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.

Bibliographic Details
Main Author: Tu, Yaa-Lirng
Other Authors: Eric Klopher.
Format: Thesis
Language:eng
Published: Massachusetts Institute of Technology 2010
Subjects:
Online Access:http://hdl.handle.net/1721.1/53182
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author Tu, Yaa-Lirng
author2 Eric Klopher.
author_facet Eric Klopher.
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description Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.
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spelling mit-1721.1/531822019-04-11T02:59:33Z A framework for teaching biology using StarLogo TNG : from DNA to evolution Tu, Yaa-Lirng Eric Klopher. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009. Includes bibliographical references (p. 65-66). This thesis outlines a 10-unit biology curriculum implemented in StarLogo TNG. The curriculum moves through units on ecology, the DNA-protein relationship, and evolution. By combining the three topics, it aims to highlight the similarities among different scales and the relationships between them. In particular, through the curriculum, students can see how small-scale changes in molecular processes can create large-scale changes in entire populations. In addition, the curriculum encourages students to engage in problembased learning, by which they are trained to approach questions creatively and independently. by Yaa-Lirng Tu. M.Eng. 2010-03-25T15:11:30Z 2010-03-25T15:11:30Z 2009 2009 Thesis http://hdl.handle.net/1721.1/53182 520953139 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 66 p. application/pdf Massachusetts Institute of Technology
spellingShingle Electrical Engineering and Computer Science.
Tu, Yaa-Lirng
A framework for teaching biology using StarLogo TNG : from DNA to evolution
title A framework for teaching biology using StarLogo TNG : from DNA to evolution
title_full A framework for teaching biology using StarLogo TNG : from DNA to evolution
title_fullStr A framework for teaching biology using StarLogo TNG : from DNA to evolution
title_full_unstemmed A framework for teaching biology using StarLogo TNG : from DNA to evolution
title_short A framework for teaching biology using StarLogo TNG : from DNA to evolution
title_sort framework for teaching biology using starlogo tng from dna to evolution
topic Electrical Engineering and Computer Science.
url http://hdl.handle.net/1721.1/53182
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