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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 | ||
| ||
How teachers can turn data into action / / Daniel R. Venables
| How teachers can turn data into action / / Daniel R. Venables |
| Autore | Venables Daniel R |
| Pubbl/distr/stampa | Alexandria, Virginia : , : ASCD, , 2014 |
| Descrizione fisica | 1 online resource (167 p.) |
| Disciplina | 370.72/7 |
| Soggetto topico |
Educational indicators - United States
Educational evaluation - United States |
| Soggetto genere / forma | Electronic books. |
| ISBN | 1-4166-1879-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title Page; Copyright; Table of Contents; Acknowledgments; Preface; Introduction; Before Meeting-Developing Data Literacy; Data Meeting 1-Reviewing Existing Data and Asking Questions; Data Meeting 2-Triangulating the Data; Data Meeting 3-Determining Gaps and Goals; Data Meeting 4-Planning for Action; Implementation Period-In the Classroom; Data Meeting 5-Evaluating Success and Determining Next Steps; Putting It All Together; Appendix-Protocols, Guides, and Tools; Bibliography; Index; About the Author; Related ASCD Resources: Using Data to Improve Teaching and Learning |
| Record Nr. | UNINA-9910464190303321 |
Venables Daniel R
|
||
| Alexandria, Virginia : , : ASCD, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How teachers can turn data into action / / Daniel R. Venables
| How teachers can turn data into action / / Daniel R. Venables |
| Autore | Venables Daniel R |
| Pubbl/distr/stampa | Alexandria, Virginia : , : ASCD, , [2014] |
| Descrizione fisica | 1 online resource (xii, 149 pages) : illustrations |
| Disciplina | 370.72/7 |
| Collana | Gale eBooks |
| Soggetto topico |
Educational indicators - United States
Educational evaluation - United States |
| ISBN |
1-4166-1880-5
1-4166-1879-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title Page; Copyright; Table of Contents; Acknowledgments; Preface; Introduction; Before Meeting-Developing Data Literacy; Data Meeting 1-Reviewing Existing Data and Asking Questions; Data Meeting 2-Triangulating the Data; Data Meeting 3-Determining Gaps and Goals; Data Meeting 4-Planning for Action; Implementation Period-In the Classroom; Data Meeting 5-Evaluating Success and Determining Next Steps; Putting It All Together; Appendix-Protocols, Guides, and Tools; Bibliography; Index; About the Author; Related ASCD Resources: Using Data to Improve Teaching and Learning |
| Record Nr. | UNINA-9910789399003321 |
|
Venables Daniel R
|
||
| Alexandria, Virginia : , : ASCD, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
How teachers can turn data into action / / Daniel R. Venables
| How teachers can turn data into action / / Daniel R. Venables |
| Autore | Venables Daniel R |
| Pubbl/distr/stampa | Alexandria, Virginia : , : ASCD, , [2014] |
| Descrizione fisica | 1 online resource (xii, 149 pages) : illustrations |
| Disciplina | 370.72/7 |
| Collana | Gale eBooks |
| Soggetto topico |
Educational indicators - United States
Educational evaluation - United States |
| ISBN |
1-4166-1880-5
1-4166-1879-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title Page; Copyright; Table of Contents; Acknowledgments; Preface; Introduction; Before Meeting-Developing Data Literacy; Data Meeting 1-Reviewing Existing Data and Asking Questions; Data Meeting 2-Triangulating the Data; Data Meeting 3-Determining Gaps and Goals; Data Meeting 4-Planning for Action; Implementation Period-In the Classroom; Data Meeting 5-Evaluating Success and Determining Next Steps; Putting It All Together; Appendix-Protocols, Guides, and Tools; Bibliography; Index; About the Author; Related ASCD Resources: Using Data to Improve Teaching and Learning |
| Record Nr. | UNINA-9910815558803321 |
|
Venables Daniel R
|
||
| Alexandria, Virginia : , : ASCD, , [2014] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Implement, improve and expand your statewide longitudinal data system : creating a culture of data in education / / Jamie McQuiggan, Armistead W. Sapp ; Jim Goodnight, foreword ; Michael Rutkowski, cover design
| Implement, improve and expand your statewide longitudinal data system : creating a culture of data in education / / Jamie McQuiggan, Armistead W. Sapp ; Jim Goodnight, foreword ; Michael Rutkowski, cover design |
| Autore | Sapp Armistead W |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2014 |
| Descrizione fisica | 1 online resource (226 p.) |
| Disciplina | 370.72/7 |
| Altri autori (Persone) |
SappArmistead W
GoodnightJim RutkowskiMichael |
| Collana | Wiley and SAS business series |
| Soggetto topico |
Educational statistics - Computer programs
Longitudinal method - Data processing |
| ISBN |
1-118-84154-9
1-118-84156-5 1-118-84150-6 |
| Classificazione | BUS019000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface Acknowledgments Chapter 1: How to Establish a Successful SLDS What is a Statewide Longitudinal Data System? What an SLDS can do that Sneaker Net cannot What it takes to implement (or improve) a successful SLDS Preview Notes Chapter 2: The SLDS Landscape History of longitudinal data systems The State of SLDSs Today Data Management Models Conclusion Notes Chapter 3: Getting Started on your SLDS SLDS Planning & Preparation Establish a Data Governance Board Address Interoperability of the data Set policies for Data Security and Student Privacy Evaluate Current Systems and Make Connections Make it Sustainable Conclusion Notes Chapter 4: Data Management: Creating One Version of the Truth What is Master Data Management? Incorporating MDM Principles in your SLDS Conclusion Notes Chapter 5 Florida Case Study: The Up and Downside of Being the First Florida's SLDS Renovating what exists using Federal grants Conclusion Notes Chapter 6 Michigan's SLDS: A Tool for Reinventing the Economy Michigan's SLDS: Moving Beyond Compliance Career & College Ready Initiative: how longitudinal data can inform the discussion Conclusion Notes Chapter 7 North Carolina Case Study Stakeholders and the NC P20W system The Vision State Legislation reinforcing SLDS Conclusion Notes Chapter 8: Sharing Information with Others Public Information Sharing: What information is the public entitled to and interested in? Policymakers and state-level decision makers: How can legislators enable and use longitudinal data? Researchers: How can states leverage researchers to make the longitudinal data answer key questions? Establishing the Connection with Academia Parents: What do parents need to have access to in an SLDS, and how will it make a difference? Students: How can an SLDS provide students with more intuitive, instant access to their own student record? Conclusion Notes Chapter 9: Using Data in Schools and Classrooms Teachers Administrators The Teacher-Student Record Link Conclusion Notes Chapter 10: Expanding your SLDS: Adding Out of School Time and Health Care Data Collective Impact: the longitudinal data connection OST: What happens when they're not in school? Health Care Data How to facilitate collective impact initiatives Conclusion Notes Chapter 11: A Culture of Data: Using longitudinal data to solve big problems Creating a Culture of Data Data Driven Decision Tools Response to Intervention (RTI) Early Warning Systems Conclusion Notes Chapter 12: It's Not About the Data Ways to Sustain the System Conclusion Notes About the Author(s) Index . |
| Record Nr. | UNINA-9910138957503321 |
|
Sapp Armistead W
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Implement, improve and expand your statewide longitudinal data system : creating a culture of data in education / / Jamie McQuiggan, Armistead W. Sapp ; Jim Goodnight, foreword ; Michael Rutkowski, cover design
| Implement, improve and expand your statewide longitudinal data system : creating a culture of data in education / / Jamie McQuiggan, Armistead W. Sapp ; Jim Goodnight, foreword ; Michael Rutkowski, cover design |
| Autore | Sapp Armistead W |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2014 |
| Descrizione fisica | 1 online resource (226 p.) |
| Disciplina | 370.72/7 |
| Altri autori (Persone) |
SappArmistead W
GoodnightJim RutkowskiMichael |
| Collana | Wiley and SAS business series |
| Soggetto topico |
Educational statistics - Computer programs
Longitudinal method - Data processing |
| ISBN |
1-118-84154-9
1-118-84156-5 1-118-84150-6 |
| Classificazione | BUS019000 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Machine generated contents note: Preface Acknowledgments Chapter 1: How to Establish a Successful SLDS What is a Statewide Longitudinal Data System? What an SLDS can do that Sneaker Net cannot What it takes to implement (or improve) a successful SLDS Preview Notes Chapter 2: The SLDS Landscape History of longitudinal data systems The State of SLDSs Today Data Management Models Conclusion Notes Chapter 3: Getting Started on your SLDS SLDS Planning & Preparation Establish a Data Governance Board Address Interoperability of the data Set policies for Data Security and Student Privacy Evaluate Current Systems and Make Connections Make it Sustainable Conclusion Notes Chapter 4: Data Management: Creating One Version of the Truth What is Master Data Management? Incorporating MDM Principles in your SLDS Conclusion Notes Chapter 5 Florida Case Study: The Up and Downside of Being the First Florida's SLDS Renovating what exists using Federal grants Conclusion Notes Chapter 6 Michigan's SLDS: A Tool for Reinventing the Economy Michigan's SLDS: Moving Beyond Compliance Career & College Ready Initiative: how longitudinal data can inform the discussion Conclusion Notes Chapter 7 North Carolina Case Study Stakeholders and the NC P20W system The Vision State Legislation reinforcing SLDS Conclusion Notes Chapter 8: Sharing Information with Others Public Information Sharing: What information is the public entitled to and interested in? Policymakers and state-level decision makers: How can legislators enable and use longitudinal data? Researchers: How can states leverage researchers to make the longitudinal data answer key questions? Establishing the Connection with Academia Parents: What do parents need to have access to in an SLDS, and how will it make a difference? Students: How can an SLDS provide students with more intuitive, instant access to their own student record? Conclusion Notes Chapter 9: Using Data in Schools and Classrooms Teachers Administrators The Teacher-Student Record Link Conclusion Notes Chapter 10: Expanding your SLDS: Adding Out of School Time and Health Care Data Collective Impact: the longitudinal data connection OST: What happens when they're not in school? Health Care Data How to facilitate collective impact initiatives Conclusion Notes Chapter 11: A Culture of Data: Using longitudinal data to solve big problems Creating a Culture of Data Data Driven Decision Tools Response to Intervention (RTI) Early Warning Systems Conclusion Notes Chapter 12: It's Not About the Data Ways to Sustain the System Conclusion Notes About the Author(s) Index . |
| Record Nr. | UNINA-9910819035003321 |
|
Sapp Armistead W
|
||
| Hoboken, New Jersey : , : John Wiley & Sons, Inc., , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||