Machine analysis of students' mathematical representations for multiplication and division problems

Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. === Cataloged from PDF version of thesis. === Includes bibliographical references (page 35). === This project extends Classroom Learning Partner classroom interaction software to...

Full description

Bibliographic Details
Main Author: Peairs, Matthew (Matthew S.)
Other Authors: Kimberle Koile.
Format: Others
Language:English
Published: Massachusetts Institute of Technology 2014
Subjects:
Online Access:http://hdl.handle.net/1721.1/85467
id ndltd-MIT-oai-dspace.mit.edu-1721.1-85467
record_format oai_dc
spelling ndltd-MIT-oai-dspace.mit.edu-1721.1-854672019-05-02T15:55:21Z Machine analysis of students' mathematical representations for multiplication and division problems Peairs, Matthew (Matthew S.) Kimberle Koile. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. Cataloged from PDF version of thesis. Includes bibliographical references (page 35). This project extends Classroom Learning Partner classroom interaction software to include a semantic interpretation component. This semantic interpretation, combined with existing syntactic interpretation, enables the software to tag and group student work using knowledge of the math used in both creating and solving problems. The analysis is being prototyped using student work in grades 4 and 5, with focus on multiplication and division. First, during the authoring step, the notebook author gives each page a "page definition" that encapsulates the mathematical problem presented on that page. For a multiplication or division problem, this involves setting the three numbers connected by the product relation (e.g., 6 * 3 = 18), marking which of those numbers are given by the problem or otherwise unknown, and selecting an overall context for the problem, such as equal groups or area. Then, once students have submitted their work, the analysis component takes the raw output of the syntactic interpretation step and relates it back to the mathematical content of the page to assign each student's work a set of automatically generated tags. These tags address the correctness of a student's methods and results, as well as highlighting different problem-solving strategies that students might have used to arrive at the same answer. Finally, the teacher can sort student submissions by these various tags to quickly find noteworthy or contrasting examples to present to the class. by Matthew Peairs. M. Eng. 2014-03-06T15:44:07Z 2014-03-06T15:44:07Z 2013 2013 Thesis http://hdl.handle.net/1721.1/85467 870969695 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 35 pages application/pdf Massachusetts Institute of Technology
collection NDLTD
language English
format Others
sources NDLTD
topic Electrical Engineering and Computer Science.
spellingShingle Electrical Engineering and Computer Science.
Peairs, Matthew (Matthew S.)
Machine analysis of students' mathematical representations for multiplication and division problems
description Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2013. === Cataloged from PDF version of thesis. === Includes bibliographical references (page 35). === This project extends Classroom Learning Partner classroom interaction software to include a semantic interpretation component. This semantic interpretation, combined with existing syntactic interpretation, enables the software to tag and group student work using knowledge of the math used in both creating and solving problems. The analysis is being prototyped using student work in grades 4 and 5, with focus on multiplication and division. First, during the authoring step, the notebook author gives each page a "page definition" that encapsulates the mathematical problem presented on that page. For a multiplication or division problem, this involves setting the three numbers connected by the product relation (e.g., 6 * 3 = 18), marking which of those numbers are given by the problem or otherwise unknown, and selecting an overall context for the problem, such as equal groups or area. Then, once students have submitted their work, the analysis component takes the raw output of the syntactic interpretation step and relates it back to the mathematical content of the page to assign each student's work a set of automatically generated tags. These tags address the correctness of a student's methods and results, as well as highlighting different problem-solving strategies that students might have used to arrive at the same answer. Finally, the teacher can sort student submissions by these various tags to quickly find noteworthy or contrasting examples to present to the class. === by Matthew Peairs. === M. Eng.
author2 Kimberle Koile.
author_facet Kimberle Koile.
Peairs, Matthew (Matthew S.)
author Peairs, Matthew (Matthew S.)
author_sort Peairs, Matthew (Matthew S.)
title Machine analysis of students' mathematical representations for multiplication and division problems
title_short Machine analysis of students' mathematical representations for multiplication and division problems
title_full Machine analysis of students' mathematical representations for multiplication and division problems
title_fullStr Machine analysis of students' mathematical representations for multiplication and division problems
title_full_unstemmed Machine analysis of students' mathematical representations for multiplication and division problems
title_sort machine analysis of students' mathematical representations for multiplication and division problems
publisher Massachusetts Institute of Technology
publishDate 2014
url http://hdl.handle.net/1721.1/85467
work_keys_str_mv AT peairsmatthewmatthews machineanalysisofstudentsmathematicalrepresentationsformultiplicationanddivisionproblems
_version_ 1719031126254682112