Data mining and learning analytics: applications in educational research /
Data mining and learning analytics : applications in educational research /
Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer...
Gespeichert in:
| Weitere beteiligte Personen: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
[Place of publication not identified]
[John Wiley & Sons]
[2016]
|
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781118998236/?ar |
| Zusammenfassung: | Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining's four guiding principles- prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM's emerging role in helping to advance educational research-from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. - Includes case studies where data mining techniques have been effectively applied to advance teaching and learning -Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students -Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students -Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research. |
| Beschreibung: | Imprint from resource description page. - Includes bibliographical references and index. - Print version record |
| Umfang: | 1 online resource (1 volume) illustrations |
| ISBN: | 9781118998212 1118998219 9781118998205 1118998200 9781118998229 1118998227 9781118998236 |
Internformat
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | ZDB-30-ORH-047549343 | ||
| 003 | DE-627-1 | ||
| 005 | 20240228120224.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 191023s2016 xx |||||o 00| ||eng c | ||
| 020 | |a 9781118998212 |9 978-1-118-99821-2 | ||
| 020 | |a 1118998219 |9 1-118-99821-9 | ||
| 020 | |a 9781118998205 |9 978-1-118-99820-5 | ||
| 020 | |a 1118998200 |9 1-118-99820-0 | ||
| 020 | |a 9781118998229 |9 978-1-118-99822-9 | ||
| 020 | |a 1118998227 |9 1-118-99822-7 | ||
| 020 | |a 9781118998236 |9 978-1-118-99823-6 | ||
| 035 | |a (DE-627-1)047549343 | ||
| 035 | |a (DE-599)KEP047549343 | ||
| 035 | |a (ORHE)9781118998236 | ||
| 035 | |a (DE-627-1)047549343 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 072 | 7 | |a EDU |2 bisacsh | |
| 072 | 7 | |a COM |2 bisacsh | |
| 082 | 0 | |a 370.72/7 |2 23 | |
| 245 | 0 | 0 | |6 880-01 |a Data mining and learning analytics |b applications in educational research / |c edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane |
| 264 | 1 | |a [Place of publication not identified] |b [John Wiley & Sons] |c [2016] | |
| 300 | |a 1 online resource (1 volume) |b illustrations | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a Imprint from resource description page. - Includes bibliographical references and index. - Print version record | ||
| 520 | |a Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining's four guiding principles- prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM's emerging role in helping to advance educational research-from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. - Includes case studies where data mining techniques have been effectively applied to advance teaching and learning -Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students -Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students -Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research. | ||
| 650 | 0 | |a Education |x Research |x Statistical methods | |
| 650 | 0 | |a Educational statistics |x Data processing | |
| 650 | 0 | |a Data mining | |
| 650 | 2 | |a Data Mining | |
| 650 | 4 | |a Statistique de l'éducation ; Informatique | |
| 650 | 4 | |a Exploration de données (Informatique) | |
| 650 | 4 | |a COMPUTERS ; Databases ; Data Mining | |
| 650 | 4 | |a Data mining | |
| 650 | 4 | |a Education ; Research ; Statistical methods | |
| 650 | 4 | |a Educational statistics ; Data processing | |
| 700 | 1 | |a ElAtia, Samira |d 1973- |e HerausgeberIn |4 edt | |
| 700 | 1 | |a Ipperciel, Donald |d 1967- |e HerausgeberIn |4 edt | |
| 700 | 1 | |a Zaïane, Osmar |e HerausgeberIn |4 edt | |
| 776 | 1 | |z 9781118998236 | |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 9781118998236 |
| 966 | 4 | 0 | |l DE-91 |p ZDB-30-ORH |q TUM_PDA_ORH |u https://learning.oreilly.com/library/view/-/9781118998236/?ar |m X:ORHE |x Aggregator |z lizenzpflichtig |3 Volltext |
| 880 | 0 | 0 | |6 245-01/Grek |a Data mining and learning analytics : |b applications in educational research / |c edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaϊane. |
| 912 | |a ZDB-30-ORH | ||
| 912 | |a ZDB-30-ORH | ||
| 951 | |a BO | ||
| 912 | |a ZDB-30-ORH | ||
| 049 | |a DE-91 | ||
Datensatz im Suchindex
| DE-BY-TUM_katkey | ZDB-30-ORH-047549343 |
|---|---|
| _version_ | 1833357089144045568 |
| adam_text | |
| any_adam_object | |
| author2 | ElAtia, Samira 1973- Ipperciel, Donald 1967- Zaïane, Osmar |
| author2_role | edt edt edt |
| author2_variant | s e se d i di o z oz |
| author_facet | ElAtia, Samira 1973- Ipperciel, Donald 1967- Zaïane, Osmar |
| building | Verbundindex |
| bvnumber | localTUM |
| collection | ZDB-30-ORH |
| ctrlnum | (DE-627-1)047549343 (DE-599)KEP047549343 (ORHE)9781118998236 |
| dewey-full | 370.72/7 |
| dewey-hundreds | 300 - Social sciences |
| dewey-ones | 370 - Education |
| dewey-raw | 370.72/7 |
| dewey-search | 370.72/7 |
| dewey-sort | 3370.72 17 |
| dewey-tens | 370 - Education |
| discipline | Pädagogik |
| format | Electronic eBook |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>04555cam a22006132c 4500</leader><controlfield tag="001">ZDB-30-ORH-047549343</controlfield><controlfield tag="003">DE-627-1</controlfield><controlfield tag="005">20240228120224.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">191023s2016 xx |||||o 00| ||eng c</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118998212</subfield><subfield code="9">978-1-118-99821-2</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118998219</subfield><subfield code="9">1-118-99821-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118998205</subfield><subfield code="9">978-1-118-99820-5</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118998200</subfield><subfield code="9">1-118-99820-0</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118998229</subfield><subfield code="9">978-1-118-99822-9</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">1118998227</subfield><subfield code="9">1-118-99822-7</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781118998236</subfield><subfield code="9">978-1-118-99823-6</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047549343</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)KEP047549343</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ORHE)9781118998236</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627-1)047549343</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">EDU</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="072" ind1=" " ind2="7"><subfield code="a">COM</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">370.72/7</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="6">880-01</subfield><subfield code="a">Data mining and learning analytics</subfield><subfield code="b">applications in educational research /</subfield><subfield code="c">edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">[Place of publication not identified]</subfield><subfield code="b">[John Wiley & Sons]</subfield><subfield code="c">[2016]</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (1 volume)</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Imprint from resource description page. - Includes bibliographical references and index. - Print version record</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining's four guiding principles- prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM's emerging role in helping to advance educational research-from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. - Includes case studies where data mining techniques have been effectively applied to advance teaching and learning -Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students -Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students -Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Education</subfield><subfield code="x">Research</subfield><subfield code="x">Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Educational statistics</subfield><subfield code="x">Data processing</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="2"><subfield code="a">Data Mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Statistique de l'éducation ; Informatique</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exploration de données (Informatique)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">COMPUTERS ; Databases ; Data Mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Data mining</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Education ; Research ; Statistical methods</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Educational statistics ; Data processing</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">ElAtia, Samira</subfield><subfield code="d">1973-</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ipperciel, Donald</subfield><subfield code="d">1967-</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Zaïane, Osmar</subfield><subfield code="e">HerausgeberIn</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="1" ind2=" "><subfield code="z">9781118998236</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">9781118998236</subfield></datafield><datafield tag="966" ind1="4" ind2="0"><subfield code="l">DE-91</subfield><subfield code="p">ZDB-30-ORH</subfield><subfield code="q">TUM_PDA_ORH</subfield><subfield code="u">https://learning.oreilly.com/library/view/-/9781118998236/?ar</subfield><subfield code="m">X:ORHE</subfield><subfield code="x">Aggregator</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="880" ind1="0" ind2="0"><subfield code="6">245-01/Grek</subfield><subfield code="a">Data mining and learning analytics :</subfield><subfield code="b">applications in educational research /</subfield><subfield code="c">edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaϊane.</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-ORH</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-91</subfield></datafield></record></collection> |
| id | ZDB-30-ORH-047549343 |
| illustrated | Illustrated |
| indexdate | 2025-05-28T09:46:08Z |
| institution | BVB |
| isbn | 9781118998212 1118998219 9781118998205 1118998200 9781118998229 1118998227 9781118998236 |
| language | English |
| open_access_boolean | |
| owner | DE-91 DE-BY-TUM |
| owner_facet | DE-91 DE-BY-TUM |
| physical | 1 online resource (1 volume) illustrations |
| psigel | ZDB-30-ORH TUM_PDA_ORH ZDB-30-ORH |
| publishDate | 2016 |
| publishDateSearch | 2016 |
| publishDateSort | 2016 |
| publisher | [John Wiley & Sons] |
| record_format | marc |
| spelling | 880-01 Data mining and learning analytics applications in educational research / edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane [Place of publication not identified] [John Wiley & Sons] [2016] 1 online resource (1 volume) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Imprint from resource description page. - Includes bibliographical references and index. - Print version record Addresses the impacts of data mining on education and reviews applications in educational research teaching, and learning This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining's four guiding principles- prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM's emerging role in helping to advance educational research-from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields. - Includes case studies where data mining techniques have been effectively applied to advance teaching and learning -Addresses applications of data mining in educational research, including: social networking and education; policy and legislation in the classroom; and identification of at-risk students -Explores Massive Open Online Courses (MOOCs) to study the effectiveness of online networks in promoting learning and understanding the communication patterns among users and students -Features supplementary resources including a primer on foundational aspects of educational mining and learning analytics Data Mining and Learning Analytics: Applications in Educational Research is written for both scientists in EDM and educators interested in using and integrating DM and LA to improve education and advance educational research. Education Research Statistical methods Educational statistics Data processing Data mining Data Mining Statistique de l'éducation ; Informatique Exploration de données (Informatique) COMPUTERS ; Databases ; Data Mining Education ; Research ; Statistical methods Educational statistics ; Data processing ElAtia, Samira 1973- HerausgeberIn edt Ipperciel, Donald 1967- HerausgeberIn edt Zaïane, Osmar HerausgeberIn edt 9781118998236 Erscheint auch als Druck-Ausgabe 9781118998236 245-01/Grek Data mining and learning analytics : applications in educational research / edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaϊane. |
| spellingShingle | Data mining and learning analytics applications in educational research / Education Research Statistical methods Educational statistics Data processing Data mining Data Mining Statistique de l'éducation ; Informatique Exploration de données (Informatique) COMPUTERS ; Databases ; Data Mining Education ; Research ; Statistical methods Educational statistics ; Data processing |
| title | Data mining and learning analytics applications in educational research / |
| title_auth | Data mining and learning analytics applications in educational research / |
| title_exact_search | Data mining and learning analytics applications in educational research / |
| title_full | Data mining and learning analytics applications in educational research / edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane |
| title_fullStr | Data mining and learning analytics applications in educational research / edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane |
| title_full_unstemmed | Data mining and learning analytics applications in educational research / edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane |
| title_short | Data mining and learning analytics |
| title_sort | data mining and learning analytics applications in educational research |
| title_sub | applications in educational research / |
| topic | Education Research Statistical methods Educational statistics Data processing Data mining Data Mining Statistique de l'éducation ; Informatique Exploration de données (Informatique) COMPUTERS ; Databases ; Data Mining Education ; Research ; Statistical methods Educational statistics ; Data processing |
| topic_facet | Education Research Statistical methods Educational statistics Data processing Data mining Data Mining Statistique de l'éducation ; Informatique Exploration de données (Informatique) COMPUTERS ; Databases ; Data Mining Education ; Research ; Statistical methods Educational statistics ; Data processing |
| work_keys_str_mv | AT elatiasamira dataminingandlearninganalyticsapplicationsineducationalresearch AT ippercieldonald dataminingandlearninganalyticsapplicationsineducationalresearch AT zaianeosmar dataminingandlearninganalyticsapplicationsineducationalresearch |