Teaching About Ambiguity in Analytics: A Student-Centered Semester-Long Project to Raise Awareness of Ambiguity by Predicting Student Exam Performance
The growing use of analytics has increased the demand for more highly data literate graduates. Awareness of ambiguity in data has been suggested as a new data literacy skill. Here, we describe a student- centered semester-long project that can be used to teach this skill in an introductory analytics...
Gespeichert in:
Veröffentlicht in: | Journal of information systems education 2024-06, Vol.35 (3), p.249-260 |
---|---|
Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 260 |
---|---|
container_issue | 3 |
container_start_page | 249 |
container_title | Journal of information systems education |
container_volume | 35 |
creator | McKinney, Earl H., Jr Ginzinger, Simon |
description | The growing use of analytics has increased the demand for more highly data literate graduates. Awareness of ambiguity in data has been suggested as a new data literacy skill. Here, we describe a student- centered semester-long project that can be used to teach this skill in an introductory analytics or database course. The project requires students to anticipate and collect survey data about themselves and their fellow students that can be used to predict student exam performance later in the course. We summarize relevant prior research on ambiguity, describe the project in which ambiguity is explained and applied, present a preliminary analysis of the lesson's impact on student awareness of ambiguity, and discuss implications and future research. |
doi_str_mv | 10.62273/WQJY6047 |
format | Article |
fullrecord | <record><control><sourceid>gale_proqu</sourceid><recordid>TN_cdi_proquest_journals_3093914276</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A808251381</galeid><sourcerecordid>A808251381</sourcerecordid><originalsourceid>FETCH-LOGICAL-g1326-630d7062fd8a37cc0e63aa822ed7179d01b6a386f0846cf759fac0533cf3b91f3</originalsourceid><addsrcrecordid>eNptkNtKxDAQhoMouB4ufIOAt1Zz2Catd2XxyIJnxKslTSc1yzbRJkX3RXxeIwquIAMzw_D9_zCD0B4lh4IxyY8eby6fBBnLNTRiuRxnvJBsHY0oyfOMk1Jsoq0Q5oTQvBRihD7uQeln61pc1X6IuOpq2w42LrF1uHJqsYxWh2Nc4bs4NOBiNkkJemjwHXQQUptNfZJf934OOuLo8a2yAXD1pnpwEAL2ZsW2XiYUGqvj19IfU3zyrjp8Db3xfaechh20YdQiwO5P3UYPpyf3k_NsenV2MammWUs5E5ngpJFEMNMUikutCQiuVMEYNJLKsiG0FooXwpBiLLSReWmUJjnn2vC6pIZvo_1v35fevw7pnNncD306O8zSs3hJx0yKX6pVC5hZZ3zsle5s0LOqIAXLKS9oog7_oVI00FntHRib5n8EByuCegj2613WBds-x9CqIYRV_BPuI5Ox</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3093914276</pqid></control><display><type>article</type><title>Teaching About Ambiguity in Analytics: A Student-Centered Semester-Long Project to Raise Awareness of Ambiguity by Predicting Student Exam Performance</title><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Business Source Complete</source><source>Education Source</source><creator>McKinney, Earl H., Jr ; Ginzinger, Simon</creator><creatorcontrib>McKinney, Earl H., Jr ; Ginzinger, Simon</creatorcontrib><description>The growing use of analytics has increased the demand for more highly data literate graduates. Awareness of ambiguity in data has been suggested as a new data literacy skill. Here, we describe a student- centered semester-long project that can be used to teach this skill in an introductory analytics or database course. The project requires students to anticipate and collect survey data about themselves and their fellow students that can be used to predict student exam performance later in the course. We summarize relevant prior research on ambiguity, describe the project in which ambiguity is explained and applied, present a preliminary analysis of the lesson's impact on student awareness of ambiguity, and discuss implications and future research.</description><identifier>ISSN: 1055-3096</identifier><identifier>EISSN: 2574-3872</identifier><identifier>DOI: 10.62273/WQJY6047</identifier><language>eng</language><publisher>West Lafayette: Journal of Information Systems Education</publisher><subject>Ambiguity ; Austria ; Critical thinking ; Data analysis ; Decision making ; Educational Needs ; Educational Objectives ; Impact analysis ; Information literacy ; Learning analytics ; Literacy ; Performance prediction ; Students ; Surveys ; Taxonomy ; Teaching</subject><ispartof>Journal of information systems education, 2024-06, Vol.35 (3), p.249-260</ispartof><rights>COPYRIGHT 2024 Journal of Information Systems Education</rights><rights>Copyright EDSIG Summer 2024</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>315,781,785,27929,27930</link.rule.ids></links><search><creatorcontrib>McKinney, Earl H., Jr</creatorcontrib><creatorcontrib>Ginzinger, Simon</creatorcontrib><title>Teaching About Ambiguity in Analytics: A Student-Centered Semester-Long Project to Raise Awareness of Ambiguity by Predicting Student Exam Performance</title><title>Journal of information systems education</title><description>The growing use of analytics has increased the demand for more highly data literate graduates. Awareness of ambiguity in data has been suggested as a new data literacy skill. Here, we describe a student- centered semester-long project that can be used to teach this skill in an introductory analytics or database course. The project requires students to anticipate and collect survey data about themselves and their fellow students that can be used to predict student exam performance later in the course. We summarize relevant prior research on ambiguity, describe the project in which ambiguity is explained and applied, present a preliminary analysis of the lesson's impact on student awareness of ambiguity, and discuss implications and future research.</description><subject>Ambiguity</subject><subject>Austria</subject><subject>Critical thinking</subject><subject>Data analysis</subject><subject>Decision making</subject><subject>Educational Needs</subject><subject>Educational Objectives</subject><subject>Impact analysis</subject><subject>Information literacy</subject><subject>Learning analytics</subject><subject>Literacy</subject><subject>Performance prediction</subject><subject>Students</subject><subject>Surveys</subject><subject>Taxonomy</subject><subject>Teaching</subject><issn>1055-3096</issn><issn>2574-3872</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>N95</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNptkNtKxDAQhoMouB4ufIOAt1Zz2Catd2XxyIJnxKslTSc1yzbRJkX3RXxeIwquIAMzw_D9_zCD0B4lh4IxyY8eby6fBBnLNTRiuRxnvJBsHY0oyfOMk1Jsoq0Q5oTQvBRihD7uQeln61pc1X6IuOpq2w42LrF1uHJqsYxWh2Nc4bs4NOBiNkkJemjwHXQQUptNfZJf934OOuLo8a2yAXD1pnpwEAL2ZsW2XiYUGqvj19IfU3zyrjp8Db3xfaechh20YdQiwO5P3UYPpyf3k_NsenV2MammWUs5E5ngpJFEMNMUikutCQiuVMEYNJLKsiG0FooXwpBiLLSReWmUJjnn2vC6pIZvo_1v35fevw7pnNncD306O8zSs3hJx0yKX6pVC5hZZ3zsle5s0LOqIAXLKS9oog7_oVI00FntHRib5n8EByuCegj2613WBds-x9CqIYRV_BPuI5Ox</recordid><startdate>20240622</startdate><enddate>20240622</enddate><creator>McKinney, Earl H., Jr</creator><creator>Ginzinger, Simon</creator><general>Journal of Information Systems Education</general><general>EDSIG</general><scope>N95</scope><scope>0-V</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88B</scope><scope>8AL</scope><scope>8AO</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ALSLI</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>CJNVE</scope><scope>CNYFK</scope><scope>DWQXO</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K60</scope><scope>K6~</scope><scope>K7-</scope><scope>L.-</scope><scope>M0C</scope><scope>M0N</scope><scope>M0P</scope><scope>M1O</scope><scope>M2O</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEDU</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><scope>S0X</scope></search><sort><creationdate>20240622</creationdate><title>Teaching About Ambiguity in Analytics: A Student-Centered Semester-Long Project to Raise Awareness of Ambiguity by Predicting Student Exam Performance</title><author>McKinney, Earl H., Jr ; Ginzinger, Simon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-g1326-630d7062fd8a37cc0e63aa822ed7179d01b6a386f0846cf759fac0533cf3b91f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Ambiguity</topic><topic>Austria</topic><topic>Critical thinking</topic><topic>Data analysis</topic><topic>Decision making</topic><topic>Educational Needs</topic><topic>Educational Objectives</topic><topic>Impact analysis</topic><topic>Information literacy</topic><topic>Learning analytics</topic><topic>Literacy</topic><topic>Performance prediction</topic><topic>Students</topic><topic>Surveys</topic><topic>Taxonomy</topic><topic>Teaching</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>McKinney, Earl H., Jr</creatorcontrib><creatorcontrib>Ginzinger, Simon</creatorcontrib><collection>Gale Business: Insights</collection><collection>ProQuest Social Sciences Premium Collection</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>Access via ABI/INFORM (ProQuest)</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Education Database (Alumni Edition)</collection><collection>Computing Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Social Science Premium Collection</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>Education Collection</collection><collection>Library & Information Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Computer Science Database</collection><collection>ABI/INFORM Professional Advanced</collection><collection>ABI/INFORM Global</collection><collection>Computing Database</collection><collection>Education Database</collection><collection>Library Science Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest One Business</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Education</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><collection>SIRS Editorial</collection><jtitle>Journal of information systems education</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>McKinney, Earl H., Jr</au><au>Ginzinger, Simon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Teaching About Ambiguity in Analytics: A Student-Centered Semester-Long Project to Raise Awareness of Ambiguity by Predicting Student Exam Performance</atitle><jtitle>Journal of information systems education</jtitle><date>2024-06-22</date><risdate>2024</risdate><volume>35</volume><issue>3</issue><spage>249</spage><epage>260</epage><pages>249-260</pages><issn>1055-3096</issn><eissn>2574-3872</eissn><abstract>The growing use of analytics has increased the demand for more highly data literate graduates. Awareness of ambiguity in data has been suggested as a new data literacy skill. Here, we describe a student- centered semester-long project that can be used to teach this skill in an introductory analytics or database course. The project requires students to anticipate and collect survey data about themselves and their fellow students that can be used to predict student exam performance later in the course. We summarize relevant prior research on ambiguity, describe the project in which ambiguity is explained and applied, present a preliminary analysis of the lesson's impact on student awareness of ambiguity, and discuss implications and future research.</abstract><cop>West Lafayette</cop><pub>Journal of Information Systems Education</pub><doi>10.62273/WQJY6047</doi><tpages>12</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1055-3096 |
ispartof | Journal of information systems education, 2024-06, Vol.35 (3), p.249-260 |
issn | 1055-3096 2574-3872 |
language | eng |
recordid | cdi_proquest_journals_3093914276 |
source | Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Business Source Complete; Education Source |
subjects | Ambiguity Austria Critical thinking Data analysis Decision making Educational Needs Educational Objectives Impact analysis Information literacy Learning analytics Literacy Performance prediction Students Surveys Taxonomy Teaching |
title | Teaching About Ambiguity in Analytics: A Student-Centered Semester-Long Project to Raise Awareness of Ambiguity by Predicting Student Exam Performance |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-14T08%3A19%3A48IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Teaching%20About%20Ambiguity%20in%20Analytics:%20A%20Student-Centered%20Semester-Long%20Project%20to%20Raise%20Awareness%20of%20Ambiguity%20by%20Predicting%20Student%20Exam%20Performance&rft.jtitle=Journal%20of%20information%20systems%20education&rft.au=McKinney,%20Earl%20H.,%20Jr&rft.date=2024-06-22&rft.volume=35&rft.issue=3&rft.spage=249&rft.epage=260&rft.pages=249-260&rft.issn=1055-3096&rft.eissn=2574-3872&rft_id=info:doi/10.62273/WQJY6047&rft_dat=%3Cgale_proqu%3EA808251381%3C/gale_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=3093914276&rft_id=info:pmid/&rft_galeid=A808251381&rfr_iscdi=true |