Meta-Aggregation: Methodological Guidance and Lessons Learned on an Approach to Qualitative Synthesis for Mathematics Education Research
In this Research Commentary, we address a call to translate qualitative educational research into practice by highlighting the potential of the qualitative synthesis methodology, which thus far has had limited guidelines and exemplars in mathematics education research. We contribute methodological g...
Gespeichert in:
| Veröffentlicht in: | Journal for research in mathematics education 2023-11, Vol.54 (5), p.342-350 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 350 |
|---|---|
| container_issue | 5 |
| container_start_page | 342 |
| container_title | Journal for research in mathematics education |
| container_volume | 54 |
| creator | Maeda, Yukiko Kenney, Rachael H. Lolkus, Michael |
| description | In this Research Commentary, we address a call to translate qualitative educational research into practice by highlighting the potential of the qualitative synthesis methodology, which thus far has had limited guidelines and exemplars in mathematics education research. We contribute methodological guidance on one qualitative synthesis approach, meta-aggregation, by sharing experiences and lessons learned from using this approach in mathematics education. We discuss how and why researchers can normalize the use of this synthesis approach to influence policies and practices in mathematics teaching and learning. By sharing our experiences and insights on meta-aggregation components, we aim to support and motivate future development and application of qualitative synthesis in mathematics education research. |
| doi_str_mv | 10.5951/jresematheduc-2021-0113 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2892072057</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2892072057</sourcerecordid><originalsourceid>FETCH-LOGICAL-c194t-90eb31f694f1c420b8ed22e4021751c80e7a56fadb998cc49afb5f16039a5e663</originalsourceid><addsrcrecordid>eNpVkF9LwzAUxYMoOKefwYDP1SRt2sa3MeYUNsR_zyFNb9qOLZlJK-wb-LFNnS8-HTgczv3dg9A1JbdccHq38RBgp_oW6kEnjDCaEErTEzShIuMJS0l-iiZk9EvG6Tm6CGFDCCkoySfoew29SmZN46FRfefsPY5O62q3dU2n1RYvh65WVgNWtsYrCMHZEFV5CzV2Ntp4tt97p3SLe4dfBrXt-lj1BfjtYCNW6AI2zuP1yBhBOx3wIrL-nsOvkV553V6iM6O2Aa7-dIo-Hhbv88dk9bx8ms9WiY7v9IkgUKXU5CIzVGeMVCXUjEEW3ys41SWBQvHcqLoSotQ6E8pU3NCcpEJxyPN0im6OvRH5c4DQy40bvI0nJSsFIwUjvIip4pjS3oXgwci973bKHyQlcpxd_ptdjrPLcfb0B9nvfI4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2892072057</pqid></control><display><type>article</type><title>Meta-Aggregation: Methodological Guidance and Lessons Learned on an Approach to Qualitative Synthesis for Mathematics Education Research</title><source>Alma/SFX Local Collection</source><creator>Maeda, Yukiko ; Kenney, Rachael H. ; Lolkus, Michael</creator><creatorcontrib>Maeda, Yukiko ; Kenney, Rachael H. ; Lolkus, Michael</creatorcontrib><description>In this Research Commentary, we address a call to translate qualitative educational research into practice by highlighting the potential of the qualitative synthesis methodology, which thus far has had limited guidelines and exemplars in mathematics education research. We contribute methodological guidance on one qualitative synthesis approach, meta-aggregation, by sharing experiences and lessons learned from using this approach in mathematics education. We discuss how and why researchers can normalize the use of this synthesis approach to influence policies and practices in mathematics teaching and learning. By sharing our experiences and insights on meta-aggregation components, we aim to support and motivate future development and application of qualitative synthesis in mathematics education research.</description><identifier>ISSN: 0021-8251</identifier><identifier>EISSN: 1945-2306</identifier><identifier>DOI: 10.5951/jresematheduc-2021-0113</identifier><language>eng</language><publisher>Washington: National Council of Teachers of Mathematics</publisher><subject>Education ; Educational research ; Mathematical analysis ; Mathematics education ; Qualitative research ; Synthesis</subject><ispartof>Journal for research in mathematics education, 2023-11, Vol.54 (5), p.342-350</ispartof><rights>Copyright National Council of Teachers of Mathematics Nov 2023</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Maeda, Yukiko</creatorcontrib><creatorcontrib>Kenney, Rachael H.</creatorcontrib><creatorcontrib>Lolkus, Michael</creatorcontrib><title>Meta-Aggregation: Methodological Guidance and Lessons Learned on an Approach to Qualitative Synthesis for Mathematics Education Research</title><title>Journal for research in mathematics education</title><description>In this Research Commentary, we address a call to translate qualitative educational research into practice by highlighting the potential of the qualitative synthesis methodology, which thus far has had limited guidelines and exemplars in mathematics education research. We contribute methodological guidance on one qualitative synthesis approach, meta-aggregation, by sharing experiences and lessons learned from using this approach in mathematics education. We discuss how and why researchers can normalize the use of this synthesis approach to influence policies and practices in mathematics teaching and learning. By sharing our experiences and insights on meta-aggregation components, we aim to support and motivate future development and application of qualitative synthesis in mathematics education research.</description><subject>Education</subject><subject>Educational research</subject><subject>Mathematical analysis</subject><subject>Mathematics education</subject><subject>Qualitative research</subject><subject>Synthesis</subject><issn>0021-8251</issn><issn>1945-2306</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNpVkF9LwzAUxYMoOKefwYDP1SRt2sa3MeYUNsR_zyFNb9qOLZlJK-wb-LFNnS8-HTgczv3dg9A1JbdccHq38RBgp_oW6kEnjDCaEErTEzShIuMJS0l-iiZk9EvG6Tm6CGFDCCkoySfoew29SmZN46FRfefsPY5O62q3dU2n1RYvh65WVgNWtsYrCMHZEFV5CzV2Ntp4tt97p3SLe4dfBrXt-lj1BfjtYCNW6AI2zuP1yBhBOx3wIrL-nsOvkV553V6iM6O2Aa7-dIo-Hhbv88dk9bx8ms9WiY7v9IkgUKXU5CIzVGeMVCXUjEEW3ys41SWBQvHcqLoSotQ6E8pU3NCcpEJxyPN0im6OvRH5c4DQy40bvI0nJSsFIwUjvIip4pjS3oXgwci973bKHyQlcpxd_ptdjrPLcfb0B9nvfI4</recordid><startdate>202311</startdate><enddate>202311</enddate><creator>Maeda, Yukiko</creator><creator>Kenney, Rachael H.</creator><creator>Lolkus, Michael</creator><general>National Council of Teachers of Mathematics</general><scope>AAYXX</scope><scope>CITATION</scope><scope>JQ2</scope></search><sort><creationdate>202311</creationdate><title>Meta-Aggregation: Methodological Guidance and Lessons Learned on an Approach to Qualitative Synthesis for Mathematics Education Research</title><author>Maeda, Yukiko ; Kenney, Rachael H. ; Lolkus, Michael</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c194t-90eb31f694f1c420b8ed22e4021751c80e7a56fadb998cc49afb5f16039a5e663</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Education</topic><topic>Educational research</topic><topic>Mathematical analysis</topic><topic>Mathematics education</topic><topic>Qualitative research</topic><topic>Synthesis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Maeda, Yukiko</creatorcontrib><creatorcontrib>Kenney, Rachael H.</creatorcontrib><creatorcontrib>Lolkus, Michael</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Computer Science Collection</collection><jtitle>Journal for research in mathematics education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Maeda, Yukiko</au><au>Kenney, Rachael H.</au><au>Lolkus, Michael</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Meta-Aggregation: Methodological Guidance and Lessons Learned on an Approach to Qualitative Synthesis for Mathematics Education Research</atitle><jtitle>Journal for research in mathematics education</jtitle><date>2023-11</date><risdate>2023</risdate><volume>54</volume><issue>5</issue><spage>342</spage><epage>350</epage><pages>342-350</pages><issn>0021-8251</issn><eissn>1945-2306</eissn><abstract>In this Research Commentary, we address a call to translate qualitative educational research into practice by highlighting the potential of the qualitative synthesis methodology, which thus far has had limited guidelines and exemplars in mathematics education research. We contribute methodological guidance on one qualitative synthesis approach, meta-aggregation, by sharing experiences and lessons learned from using this approach in mathematics education. We discuss how and why researchers can normalize the use of this synthesis approach to influence policies and practices in mathematics teaching and learning. By sharing our experiences and insights on meta-aggregation components, we aim to support and motivate future development and application of qualitative synthesis in mathematics education research.</abstract><cop>Washington</cop><pub>National Council of Teachers of Mathematics</pub><doi>10.5951/jresematheduc-2021-0113</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0021-8251 |
| ispartof | Journal for research in mathematics education, 2023-11, Vol.54 (5), p.342-350 |
| issn | 0021-8251 1945-2306 |
| language | eng |
| recordid | cdi_proquest_journals_2892072057 |
| source | Alma/SFX Local Collection |
| subjects | Education Educational research Mathematical analysis Mathematics education Qualitative research Synthesis |
| title | Meta-Aggregation: Methodological Guidance and Lessons Learned on an Approach to Qualitative Synthesis for Mathematics Education Research |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-06T10%3A09%3A33IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Meta-Aggregation:%20Methodological%20Guidance%20and%20Lessons%20Learned%20on%20an%20Approach%20to%20Qualitative%20Synthesis%20for%20Mathematics%20Education%20Research&rft.jtitle=Journal%20for%20research%20in%20mathematics%20education&rft.au=Maeda,%20Yukiko&rft.date=2023-11&rft.volume=54&rft.issue=5&rft.spage=342&rft.epage=350&rft.pages=342-350&rft.issn=0021-8251&rft.eissn=1945-2306&rft_id=info:doi/10.5951/jresematheduc-2021-0113&rft_dat=%3Cproquest_cross%3E2892072057%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2892072057&rft_id=info:pmid/&rfr_iscdi=true |