| dc.contributor.advisor | Eric Klopher. | en_US |
| dc.contributor.author | Tu, Yaa-Lirng | en_US |
| dc.contributor.other | Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. | en_US |
| dc.date.accessioned | 2010-03-25T15:11:30Z | |
| dc.date.available | 2010-03-25T15:11:30Z | |
| dc.date.copyright | 2009 | en_US |
| dc.date.issued | 2009 | en_US |
| dc.identifier.uri | http://hdl.handle.net/1721.1/53182 | |
| dc.description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009. | en_US |
| dc.description | Includes bibliographical references (p. 65-66). | en_US |
| dc.description.abstract | 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. | en_US |
| dc.description.statementofresponsibility | by Yaa-Lirng Tu. | en_US |
| dc.format.extent | 66 p. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | Massachusetts Institute of Technology | en_US |
| dc.rights | 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. | en_US |
| dc.rights.uri | http://dspace.mit.edu/handle/1721.1/7582 | en_US |
| dc.subject | Electrical Engineering and Computer Science. | en_US |
| dc.title | A framework for teaching biology using StarLogo TNG : from DNA to evolution | en_US |
| dc.type | Thesis | en_US |
| dc.description.degree | M.Eng. | en_US |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.identifier.oclc | 520953139 | en_US |
