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Data mining and learning analytics : applications in educational research / / edited by Samira Elatia, Donald Ipperciel, Osmar R. Zaiane
| Data mining and learning analytics : applications in educational research / / edited by Samira Elatia, Donald Ipperciel, Osmar R. Zaiane |
| Edizione | [First edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (314 pages) |
| Disciplina | 370.72/7 |
| Collana |
Wiley Series on Methods and Applications in Data Mining
THEi Wiley ebooks |
| Soggetto topico |
Data mining
Education - Research - Statistical methods Educational statistics - Data processing |
| Soggetto non controllato | Learning analytics |
| ISBN |
1-118-99821-9
1-118-99822-7 1-118-99820-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. At the intersection of two fields: EDM -- Educational process mining: A tutorial and case study using Moodle data sets / Christóbal Romero, Rebeca Cerezo, Alejandro Bogarín, and MIguel Sánchez-Santillán -- On big data and text mining in the humanities / Geoffrey Rockwell and Bettina Berendt -- Finding predictor in higher education / David Eubanks, William Evers Jr., and Nancy Smith -- Educational data mining: A MOOC experience / Ryan S. Baker, Yuan Wang, Luc Paquette, Vincent Aleven, Octav Popsecu, Jonathan Sewall, Carolyn Rosé, Gaurav Singh Tomar, Oliver Ferschke, Jing Zhang, Michael J. Cennamo, Stephanie Ogden, Therese Condit, José Diaz, Scott Crossley, Danielle S. McNamara, Denise K. Comer, Collin F. Lynch, Rebecca Brown, Tiffany Barnes, and Yoav Bergner -- Data mining and action research / Ellina Chernobilsky, Edith Ries, and Joanna Jasmine -- Part II. Pedagogical applications of EDM -- Design of an adaptive learning system and educational data mining / Zhiyong Liu and NIck Cercone -- The "Geometry" of naïve Bayes: Teaching probabilities by "drawing" them / Giorgio Maria Di Nunzio -- Examining the learning networks of a MOOC / Meaghan Brugha and Jean-Paul Restoule -- Exploring the usefulness of adaptive elearning laboratory environments in teaching medical science / Thuan Thai and Patsie Polly -- Investigating co-occurrence patterns of learners' grammatical errors across proficiency levels and essay topics based on association analysis / Yutaka Ishii -- Part III. EDM and educational research -- Mining learning sequences in MOOCs: Does course design constrain students' behaviors or do students shape their own learning? / Lorenzo Vigentini, Simon McIntyre, Negin Mirriahi, and Dennis Alonzo -- Understanding communication patterns in MOOCs: Combining data mining and qualitative methods / Rebecca Eynon, Isis Hjorth, Taha Yasseri, and Nabeel Gillani -- An example of data mining: Exploring the relationship between applicant attributes and academic measures of success in a pharmacy program / Dion Brocks and Ken Cor -- A new way of seeing: Using a data mining approach to understand children's views of diversity and "difference" in picture books / Robin A. Moeller and Hsin-liang Chen -- Data mining with natural language processing and corpus linguistics: Unlocking access to school children's language in diverse contexts to improve instructional and assessment practices / Alison L. Bailey, Anne Blackstock-Bernstein, Eve Ryan, and Despina Pitsoulakis. |
| Record Nr. | UNINA-9910135038403321 |
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data mining and learning analytics : applications in educational research / / edited by Samira Elatia, Donald Ipperciel, Osmar R. Zaiane
| Data mining and learning analytics : applications in educational research / / edited by Samira Elatia, Donald Ipperciel, Osmar R. Zaiane |
| Edizione | [First edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2016 |
| Descrizione fisica | 1 online resource (314 pages) |
| Disciplina | 370.72/7 |
| Collana |
Wiley Series on Methods and Applications in Data Mining
THEi Wiley ebooks |
| Soggetto topico |
Data mining
Education - Research - Statistical methods Educational statistics - Data processing |
| Soggetto non controllato | Learning analytics |
| ISBN |
1-118-99821-9
1-118-99822-7 1-118-99820-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I. At the intersection of two fields: EDM -- Educational process mining: A tutorial and case study using Moodle data sets / Christóbal Romero, Rebeca Cerezo, Alejandro Bogarín, and MIguel Sánchez-Santillán -- On big data and text mining in the humanities / Geoffrey Rockwell and Bettina Berendt -- Finding predictor in higher education / David Eubanks, William Evers Jr., and Nancy Smith -- Educational data mining: A MOOC experience / Ryan S. Baker, Yuan Wang, Luc Paquette, Vincent Aleven, Octav Popsecu, Jonathan Sewall, Carolyn Rosé, Gaurav Singh Tomar, Oliver Ferschke, Jing Zhang, Michael J. Cennamo, Stephanie Ogden, Therese Condit, José Diaz, Scott Crossley, Danielle S. McNamara, Denise K. Comer, Collin F. Lynch, Rebecca Brown, Tiffany Barnes, and Yoav Bergner -- Data mining and action research / Ellina Chernobilsky, Edith Ries, and Joanna Jasmine -- Part II. Pedagogical applications of EDM -- Design of an adaptive learning system and educational data mining / Zhiyong Liu and NIck Cercone -- The "Geometry" of naïve Bayes: Teaching probabilities by "drawing" them / Giorgio Maria Di Nunzio -- Examining the learning networks of a MOOC / Meaghan Brugha and Jean-Paul Restoule -- Exploring the usefulness of adaptive elearning laboratory environments in teaching medical science / Thuan Thai and Patsie Polly -- Investigating co-occurrence patterns of learners' grammatical errors across proficiency levels and essay topics based on association analysis / Yutaka Ishii -- Part III. EDM and educational research -- Mining learning sequences in MOOCs: Does course design constrain students' behaviors or do students shape their own learning? / Lorenzo Vigentini, Simon McIntyre, Negin Mirriahi, and Dennis Alonzo -- Understanding communication patterns in MOOCs: Combining data mining and qualitative methods / Rebecca Eynon, Isis Hjorth, Taha Yasseri, and Nabeel Gillani -- An example of data mining: Exploring the relationship between applicant attributes and academic measures of success in a pharmacy program / Dion Brocks and Ken Cor -- A new way of seeing: Using a data mining approach to understand children's views of diversity and "difference" in picture books / Robin A. Moeller and Hsin-liang Chen -- Data mining with natural language processing and corpus linguistics: Unlocking access to school children's language in diverse contexts to improve instructional and assessment practices / Alison L. Bailey, Anne Blackstock-Bernstein, Eve Ryan, and Despina Pitsoulakis. |
| Record Nr. | UNINA-9910820802703321 |
| Hoboken, New Jersey : , : Wiley, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging trends in learning analytics : leveraging the power of education data / / edited by Myint Swe Khine
| Emerging trends in learning analytics : leveraging the power of education data / / edited by Myint Swe Khine |
| Pubbl/distr/stampa | Leiden ; ; Boston : , : Brill Sense, , [2019] |
| Descrizione fisica | 1 online resource (xvii, 285 pages) |
| Disciplina | 370.72 |
| Collana | Contemporary approaches to research in learning innovations |
| Soggetto topico |
Education - Research - Statistical methods
Education - Data processing Learning - Evaluation Educational evaluation |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9789004399273
9789004396616 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Matter -- Copyright page -- List of Figures and Tables -- Notes on Contributors -- Introduction -- Big Data Analytics in Education for Dynamic Personalised Learning Design / Myint Swe Khine -- Trends in Learning Analytics -- Post-Traditional Learning Analytics / Alexander Amigud -- The Use of Analytics for Educational Purposes / Min Liu , Zilong Pan , Xin Pan , Dongwook An , Wenting Zou , Chenglu Li and Yi Shi -- A Snapshot of Research on Learning Analytics / Selcan Kilis and Yasemin Gulbahar -- The Benefits of Learning Analytics in Open and Distance Education / Billy Tak-Ming Wong -- Pedagogical Applications of Learning Analytics -- The New Smarts in Teaching and Learning / Jon Mason , Stefan Popenici , Leigh Blackall and Peter Shaw -- Following the Learners’ Traces / Arif Altun and Mehmet Kokoç -- Analytical Indicators for Profiling and Improving Engagement and Success of Vulnerable Participants / Mirella Atherton -- Triangulating Student Engagement with “Built and Bought” Learning Analytics / John Fritz and Robert Carpenter -- Learning Analytics and Educational Research -- Implementation of a Learning Analytics System in a Productive Higher Education Environment / Clara Schumacher , Daniel Klasen and Dirk Ifenthaler -- Discourse Analysis Visualization Based on Community of Inquiry Framework / Masanori Yamada , Yoshiko Goda , Kosuke Kaneko , Junko Handa and Yumi Ishige -- Learning Support Systems Based on Cohesive Learning Analytics / Fumiya Okubo , Masanori Yamada , Misato Oi , Atsushi Shimada , Yuta Taniguchi and Shin’ichi Konomi -- The Learning Analytics and Flipped PBL for Tool-Design Learning / Il-Hyun Jo -- Learning Analytics Cockpit for MOOC Platforms / Karin Maier , Philipp Leitner and Martin Ebner. |
| Record Nr. | UNINA-9910480448903321 |
| Leiden ; ; Boston : , : Brill Sense, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging trends in learning analytics : leveraging the power of education data / / edited by Myint Swe Khine
| Emerging trends in learning analytics : leveraging the power of education data / / edited by Myint Swe Khine |
| Pubbl/distr/stampa | Leiden ; ; Boston : , : Brill Sense, , [2019] |
| Descrizione fisica | 1 online resource (xvii, 285 pages) |
| Disciplina | 370.72 |
| Collana | Contemporary approaches to research in learning innovations |
| Soggetto topico |
Education - Research - Statistical methods
Education - Data processing Learning - Evaluation Educational evaluation |
| ISBN |
9789004399273
9789004396616 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Matter -- Copyright page -- List of Figures and Tables -- Notes on Contributors -- Introduction -- Big Data Analytics in Education for Dynamic Personalised Learning Design / Myint Swe Khine -- Trends in Learning Analytics -- Post-Traditional Learning Analytics / Alexander Amigud -- The Use of Analytics for Educational Purposes / Min Liu , Zilong Pan , Xin Pan , Dongwook An , Wenting Zou , Chenglu Li and Yi Shi -- A Snapshot of Research on Learning Analytics / Selcan Kilis and Yasemin Gulbahar -- The Benefits of Learning Analytics in Open and Distance Education / Billy Tak-Ming Wong -- Pedagogical Applications of Learning Analytics -- The New Smarts in Teaching and Learning / Jon Mason , Stefan Popenici , Leigh Blackall and Peter Shaw -- Following the Learners’ Traces / Arif Altun and Mehmet Kokoç -- Analytical Indicators for Profiling and Improving Engagement and Success of Vulnerable Participants / Mirella Atherton -- Triangulating Student Engagement with “Built and Bought” Learning Analytics / John Fritz and Robert Carpenter -- Learning Analytics and Educational Research -- Implementation of a Learning Analytics System in a Productive Higher Education Environment / Clara Schumacher , Daniel Klasen and Dirk Ifenthaler -- Discourse Analysis Visualization Based on Community of Inquiry Framework / Masanori Yamada , Yoshiko Goda , Kosuke Kaneko , Junko Handa and Yumi Ishige -- Learning Support Systems Based on Cohesive Learning Analytics / Fumiya Okubo , Masanori Yamada , Misato Oi , Atsushi Shimada , Yuta Taniguchi and Shin’ichi Konomi -- The Learning Analytics and Flipped PBL for Tool-Design Learning / Il-Hyun Jo -- Learning Analytics Cockpit for MOOC Platforms / Karin Maier , Philipp Leitner and Martin Ebner. |
| Record Nr. | UNINA-9910795184603321 |
| Leiden ; ; Boston : , : Brill Sense, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Emerging trends in learning analytics : leveraging the power of education data / / edited by Myint Swe Khine
| Emerging trends in learning analytics : leveraging the power of education data / / edited by Myint Swe Khine |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Leiden ; ; Boston : , : Brill Sense, , [2019] |
| Descrizione fisica | 1 online resource (xvii, 285 pages) |
| Disciplina | 370.72 |
| Collana | Contemporary approaches to research in learning innovations |
| Soggetto topico |
Education - Research - Statistical methods
Education - Data processing Learning - Evaluation Educational evaluation |
| ISBN |
9789004399273
9789004396616 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Front Matter -- Copyright page -- List of Figures and Tables -- Notes on Contributors -- Introduction -- Big Data Analytics in Education for Dynamic Personalised Learning Design / Myint Swe Khine -- Trends in Learning Analytics -- Post-Traditional Learning Analytics / Alexander Amigud -- The Use of Analytics for Educational Purposes / Min Liu , Zilong Pan , Xin Pan , Dongwook An , Wenting Zou , Chenglu Li and Yi Shi -- A Snapshot of Research on Learning Analytics / Selcan Kilis and Yasemin Gulbahar -- The Benefits of Learning Analytics in Open and Distance Education / Billy Tak-Ming Wong -- Pedagogical Applications of Learning Analytics -- The New Smarts in Teaching and Learning / Jon Mason , Stefan Popenici , Leigh Blackall and Peter Shaw -- Following the Learners’ Traces / Arif Altun and Mehmet Kokoç -- Analytical Indicators for Profiling and Improving Engagement and Success of Vulnerable Participants / Mirella Atherton -- Triangulating Student Engagement with “Built and Bought” Learning Analytics / John Fritz and Robert Carpenter -- Learning Analytics and Educational Research -- Implementation of a Learning Analytics System in a Productive Higher Education Environment / Clara Schumacher , Daniel Klasen and Dirk Ifenthaler -- Discourse Analysis Visualization Based on Community of Inquiry Framework / Masanori Yamada , Yoshiko Goda , Kosuke Kaneko , Junko Handa and Yumi Ishige -- Learning Support Systems Based on Cohesive Learning Analytics / Fumiya Okubo , Masanori Yamada , Misato Oi , Atsushi Shimada , Yuta Taniguchi and Shin’ichi Konomi -- The Learning Analytics and Flipped PBL for Tool-Design Learning / Il-Hyun Jo -- Learning Analytics Cockpit for MOOC Platforms / Karin Maier , Philipp Leitner and Martin Ebner. |
| Record Nr. | UNINA-9910821245903321 |
| Leiden ; ; Boston : , : Brill Sense, , [2019] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
National Forum on Education Statistics [[electronic resource] ] : shared knowledge for shared success
| National Forum on Education Statistics [[electronic resource] ] : shared knowledge for shared success |
| Pubbl/distr/stampa | [Washington, D.C.] : , : [National Center for Education Statistics], , [2010?] |
| Descrizione fisica | 1 online resource (1 unnumbered page) : illustrations |
| Soggetto topico | Education - Research - Statistical methods |
| Soggetto genere / forma | Handbooks and manuals. |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | National Forum on Education Statistics |
| Record Nr. | UNINA-9910697187503321 |
| [Washington, D.C.] : , : [National Center for Education Statistics], , [2010?] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Understanding educational statistics using Microsoft Excel and SPSS / / Martin Lee Abbott
| Understanding educational statistics using Microsoft Excel and SPSS / / Martin Lee Abbott |
| Autore | Abbott Martin L. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2011 |
| Descrizione fisica | 1 online resource (552 pages) : illustrations |
| Disciplina | 300.727 |
| Soggetto topico |
Education - Research - Statistical methods
Educational statistics - Data processing |
| ISBN |
1118627288
9781118627280 |
| Classificazione | 371.8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910795801803321 |
Abbott Martin L.
|
||
| Hoboken, New Jersey : , : Wiley, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Understanding educational statistics using Microsoft Excel and SPSS / / Martin Lee Abbott
| Understanding educational statistics using Microsoft Excel and SPSS / / Martin Lee Abbott |
| Autore | Abbott Martin L. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2011 |
| Descrizione fisica | 1 online resource (552 pages) : illustrations |
| Disciplina | 300.727 |
| Soggetto topico |
Education - Research - Statistical methods
Educational statistics - Data processing |
| ISBN |
1118627288
9781118627280 |
| Classificazione | 371.8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910809024003321 |
|
Abbott Martin L.
|
||
| Hoboken, New Jersey : , : Wiley, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Understanding educational statistics using Microsoft Excel® and SPSS® / / Martin Lee Abbott
| Understanding educational statistics using Microsoft Excel® and SPSS® / / Martin Lee Abbott |
| Autore | Abbott Martin L. |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2011 |
| Descrizione fisica | 1 online resource (552 p.) |
| Disciplina | 300.727 |
| Soggetto topico |
Educational statistics - Data processing
Education - Research - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-62718-0
1-118-62728-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover ; Title Page ; Copyright ; Contents ; Preface ; Acknowledgments ; 1 Introduction ; Approach of the Book ; Project Labs ; Real-world Data ; Research Design ; ''Practical Significance''-implications of Findings ; Coverage of Statistical Procedures ; 2 Getting Acquainted with Microsoft Excel® ; Data Management ; Rows and Columns ; Data Sheets ; The Excel® Menus ; Home ; Insert Tab ; Page Layout ; Formulas ; Data ; Review and View Menus ; 3 Using Statistics in Excel® ; Using Statistical Functions ; Entering Formulas Directly ; Data Analysis Procedures
Missing Values and ''0'' Values in Excel® Analyses Using Excel® with Real Data ; School-level Achievement Database ; Taglit Data ; The STAR Classroom Observation ProtocolTM Data4; 4 SPSS® Basics ; Using SPSS® ; General Features ; Management Functions ; Reading and Importing Data ; Sort ; Additional Management Functions ; Split File ; Transform/compute (creating Indices) ; Merge ; Analysis Functions ; 5 Descriptive Statistics- Central Tendency ; Research Applications-spuriousness ; Descriptive and Inferential Statistics ; The Nature of Data-scales of Measurement ; Nominal Data Ordinal Data Interval Data ; Ratio Data ; Choosing the Correct Statistical Procedure for the Nature of Research Data ; Descriptive Statistics-central Tendency ; Mean ; Median ; Mode ; Using Excel® and SPSS® to Understand Central Tendency; Excel® ; SPSS® ; Distributions ; Describing the Normal Distribution ; Central Tendency ; Skewness ; Kurtosis ; Descriptive Statistics-using Graphical Methods ; Frequency Distributions ; Histograms ; Terms and Concepts ; Real-world Lab I: Central Tendency ; Real-world Lab I: Solutions ; Results ; Results ; 6 Descriptive Statistics- Variablity ; Range Percentile Scores Based on Percentiles ; Using Excel® and SPSS® to Identify Percentiles ; Note ; Standard Deviation and Variance ; Calculating the Variance and Standard Deviation ; The Deviation Method ; The Computation Method ; The Sum of Squares ; Sample Sd and Population Sd ; Obtaining Sd from Excel® and SPSS® ; Terms and Concepts ; Real-world Lab II: Variability ; Real-world Lab II: Solutions ; Results ; 7 The Normal Distribution ; The Nature of the Normal Curve ; The Standard Normal Score: Z Score ; The Z-score Table of Values ; Navigating the Z-score Distribution Calculating Percentiles Creating Rules for Locating Z Scores ; Calculating Z Scores ; Working with Raw Score Distributions ; Using Excel® to Create Z Scores and Cumulative Proportions ; STANDARDIZE Function ; NORMSDIST Function ; NORMSDIST Function ; Using SPSS® to Create Z Scores ; Terms and Concepts ; Real-world Lab Iii: the Normal Curve and Z Scores ; Real-world Lab Iii: Solutions ; 8 The Z Distribution and Probability ; Transforming a Z Score to a Raw Score ; Transforming Cumulative Proportions to Z Scores ; Deriving Sample Scores from Cumulative Percentages Additional Transformations Using the Standard Normal Distribution |
| Record Nr. | UNINA-9910465508303321 |
|
Abbott Martin L.
|
||
| Hoboken, New Jersey : , : Wiley, , 2011 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Using secondary data in educational and social research [[electronic resource] /] / Emma Smith
| Using secondary data in educational and social research [[electronic resource] /] / Emma Smith |
| Autore | Smith Emma |
| Pubbl/distr/stampa | Maidenhead, England, : Open University Press |
| Descrizione fisica | 1 online resource (261 p.) |
| Disciplina | 300.72 |
| Collana | Conducting educational research |
| Soggetto topico |
Education - Research - Statistical methods
Social sciences - Research - Statistical methods Research - Methodology |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-281-95323-7
0-335-23693-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front cover; Half Title page; Series Editor; Title page; Copyright Page; Dedication; Contents; Preface; Part I; Chapter 1: Secondary data analysis: an introduction; Chapter 2: Pitfalls of secondary data analysis; Chapter 3: Promises of secondary data analysis; Chapter 4: Doing secondary analysis; Part II; Chapter 5: Sure Start and leisure habits: secondary analysis of aggregate data; Chapter 6: Traffic jams and gap years: secondary analysis of survey data; Chapter 7: From PISA to California: secondary analysis of international data; Part III; Chapter 8: Endpiece
Appendix 1: Sources of secondary dataAppendix 2: Effective data husbandry: managing secondary datasets; Appendix 3: Accessing the Economic and Social Data Service; References; Index; Back cover |
| Record Nr. | UNINA-9910454160903321 |
|
Smith Emma
|
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| Maidenhead, England, : Open University Press | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
