A Survey of Mathematics Education Technology Dissertation Scope and Quality: 1968-2009
We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality. Dissertation studies earned an average of 64.4% of the possible quality points across all methodology types, comp...
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Veröffentlicht in: | American educational research journal 2014-10, Vol.51 (5), p.974-1006 |
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creator | Ronau, Robert N. Rakes, Christopher R. Bush, Sarah B. Driskell, Shannon O. Niess, Margaret L. Pugalee, David K. |
description | We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality. Dissertation studies earned an average of 64.4% of the possible quality points across all methodology types, compared to studies in journals that averaged 47.2%. Doctoral students as well as their mentors can play a pivotal role in increasing the quality of research in this area by attending to the QF categories as they plan, design, implement, and complete their dissertation studies. These results imply that mathematics education technology researchers should demand greater clarity in published papers through the preparation of their own manuscripts and how they review the works of others. |
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Dissertation studies earned an average of 64.4% of the possible quality points across all methodology types, compared to studies in journals that averaged 47.2%. Doctoral students as well as their mentors can play a pivotal role in increasing the quality of research in this area by attending to the QF categories as they plan, design, implement, and complete their dissertation studies. These results imply that mathematics education technology researchers should demand greater clarity in published papers through the preparation of their own manuscripts and how they review the works of others.</description><subject>Calculators</subject><subject>Comparative Analysis</subject><subject>Computer Software</subject><subject>Doctoral Dissertations</subject><subject>Educational research</subject><subject>Educational Technology</subject><subject>Experiment design</subject><subject>Graduate Students</subject><subject>Internet</subject><subject>Literature Reviews</subject><subject>Mathematical knowledge</subject><subject>Mathematics Education</subject><subject>Mathematics teachers</subject><subject>Measures (Individuals)</subject><subject>Mentors</subject><subject>Outcomes of education</subject><subject>Predictor Variables</subject><subject>Quality Control</subject><subject>Reliability</subject><subject>Research design</subject><subject>Research methods</subject><subject>Statistical Analysis</subject><subject>Teacher education</subject><subject>Teaching, Learning, and Human Development</subject><subject>Technology</subject><subject>Validity</subject><issn>0002-8312</issn><issn>1935-1011</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNqFUE1Lw0AQXUTBWr17ERY8R2d2N5vEW6n1i4pIq9ew2WzalDZbdxMh_96EiIgXTzPz3pv3mCHkHOGKI7BrAGAxR4Yi5BgjPyAjTHgYICAeklFPBz1_TE683wAgS2IckfcJXTTu07TUFvRZ1WuzU3WpPZ3lje46W9Gl0evKbu2qpbel98bVA77Qdm-oqnL62qhtWbc3FBMZBwwgOSVHhdp6c_Zdx-TtbracPgTzl_vH6WQeaA6yDnSuZWFUnIWMZbo7IOKxFkUmOlBHWZwxocIiSphSJpdaZgXT3cAyFJypOOdjcjn47p39aIyv041tXNVFpihBCmTAw04Fg0o7670zRbp35U65NkVI---lf7_XrVwMK8aV-kc-e0IQ2IvGJBh4r1bmV-i_fhtfW_djyEQoZMQZ_wIeC4BS</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Ronau, Robert N.</creator><creator>Rakes, Christopher R.</creator><creator>Bush, Sarah B.</creator><creator>Driskell, Shannon O.</creator><creator>Niess, Margaret L.</creator><creator>Pugalee, David K.</creator><general>SAGE Publications</general><general>American Educational Research Association</general><scope>7SW</scope><scope>BJH</scope><scope>BNH</scope><scope>BNI</scope><scope>BNJ</scope><scope>BNO</scope><scope>ERI</scope><scope>PET</scope><scope>REK</scope><scope>WWN</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20141001</creationdate><title>A Survey of Mathematics Education Technology Dissertation Scope and Quality: 1968-2009</title><author>Ronau, Robert N. ; Rakes, Christopher R. ; Bush, Sarah B. ; Driskell, Shannon O. ; Niess, Margaret L. ; Pugalee, David K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c306t-cdc6fea8b522bc028738c4fb4feac7b8b24a5f792aaed6c6bf2c92a2b1432a8d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Calculators</topic><topic>Comparative Analysis</topic><topic>Computer Software</topic><topic>Doctoral Dissertations</topic><topic>Educational research</topic><topic>Educational Technology</topic><topic>Experiment design</topic><topic>Graduate Students</topic><topic>Internet</topic><topic>Literature Reviews</topic><topic>Mathematical knowledge</topic><topic>Mathematics Education</topic><topic>Mathematics teachers</topic><topic>Measures (Individuals)</topic><topic>Mentors</topic><topic>Outcomes of education</topic><topic>Predictor Variables</topic><topic>Quality Control</topic><topic>Reliability</topic><topic>Research design</topic><topic>Research methods</topic><topic>Statistical Analysis</topic><topic>Teacher education</topic><topic>Teaching, Learning, and Human Development</topic><topic>Technology</topic><topic>Validity</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ronau, Robert N.</creatorcontrib><creatorcontrib>Rakes, Christopher R.</creatorcontrib><creatorcontrib>Bush, Sarah B.</creatorcontrib><creatorcontrib>Driskell, Shannon O.</creatorcontrib><creatorcontrib>Niess, Margaret L.</creatorcontrib><creatorcontrib>Pugalee, David K.</creatorcontrib><collection>ERIC</collection><collection>ERIC (Ovid)</collection><collection>ERIC</collection><collection>ERIC</collection><collection>ERIC (Legacy Platform)</collection><collection>ERIC( SilverPlatter )</collection><collection>ERIC</collection><collection>ERIC PlusText (Legacy Platform)</collection><collection>Education Resources Information Center (ERIC)</collection><collection>ERIC</collection><collection>CrossRef</collection><jtitle>American educational research journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ronau, Robert N.</au><au>Rakes, Christopher R.</au><au>Bush, Sarah B.</au><au>Driskell, Shannon O.</au><au>Niess, Margaret L.</au><au>Pugalee, David K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><ericid>EJ1041145</ericid><atitle>A Survey of Mathematics Education Technology Dissertation Scope and Quality: 1968-2009</atitle><jtitle>American educational research journal</jtitle><date>2014-10-01</date><risdate>2014</risdate><volume>51</volume><issue>5</issue><spage>974</spage><epage>1006</epage><pages>974-1006</pages><issn>0002-8312</issn><eissn>1935-1011</eissn><coden>AECJAX</coden><abstract>We examined 480 dissertations on the use of technology in mathematics education and developed a Quality Framework (QF) that provided structure to consistently define and measure quality. Dissertation studies earned an average of 64.4% of the possible quality points across all methodology types, compared to studies in journals that averaged 47.2%. Doctoral students as well as their mentors can play a pivotal role in increasing the quality of research in this area by attending to the QF categories as they plan, design, implement, and complete their dissertation studies. These results imply that mathematics education technology researchers should demand greater clarity in published papers through the preparation of their own manuscripts and how they review the works of others.</abstract><cop>Los Angeles, CA</cop><pub>SAGE Publications</pub><doi>10.3102/0002831214531813</doi><tpages>33</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Calculators Comparative Analysis Computer Software Doctoral Dissertations Educational research Educational Technology Experiment design Graduate Students Internet Literature Reviews Mathematical knowledge Mathematics Education Mathematics teachers Measures (Individuals) Mentors Outcomes of education Predictor Variables Quality Control Reliability Research design Research methods Statistical Analysis Teacher education Teaching, Learning, and Human Development Technology Validity |
title | A Survey of Mathematics Education Technology Dissertation Scope and Quality: 1968-2009 |
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