Coverart for item
The Resource Handbook of educational data mining, edited by Cristóbal Romero ... [et al.]

Handbook of educational data mining, edited by Cristóbal Romero ... [et al.]

Label
Handbook of educational data mining
Title
Handbook of educational data mining
Statement of responsibility
edited by Cristóbal Romero ... [et al.]
Contributor
Subject
Genre
Language
eng
Member of
Cataloging source
DLC
Dewey number
370.285/6312
Illustrations
  • illustrations
  • maps
Index
index present
LC call number
LB1028.43
LC item number
.H355 2011
Literary form
non fiction
Nature of contents
  • bibliography
  • handbooks
Series statement
Chapman & Hall/CRC data mining and knowledge discovery series
Label
Handbook of educational data mining, edited by Cristóbal Romero ... [et al.]
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
Introduction / Cristóbal Romero ... [et al.] -- Visualization in educational environments / Riccardo Mazza -- Basics of statistical analysis of interactions data from web-based learning environments / Judy Sheard -- A data repository for the EDM community: the PSLC DataShop / Kenneth R. Koedinger ... [et al.] -- Classifiers for educational data mining / Wilhelmiina Hämäläinen and Mikko Vinni -- Clustering educational data / Alfredo Vellido, Félix Castro, and Àngela Nebot -- Association rule mining in learning management systems / Enrique García ... [et al.] -- Sequential pattern analysis of learning logs: methodology and applications / Mingming Zhou ... [et al.] -- Process mining from educational data / Nikola Trc̆ka, Mykola Pechenizkiy, and Wil van der Aalst -- Modeling hierarchy and dependence among task responses in educational data mining / Brian W. Junker -- Novel derivation and application of skill matrices: the q-matrix method / Tiffany Barnes -- Educational data mining to support group work in software development projects / Judy Kay, Irena Koprinska, and Kalina Yacef -- Multi-instance learning versus single-instance learning for predicting the student's performance / Amelia Zafra, Cristóbal Romero, and Sebastián Ventura -- A response-time model for bottom-out hints as worked examples / Benjamin Shih, Kenneth R. Koedinger, and Richard Scheines -- Automatic recognition of learner types in exploratory learning environments / Saleema Amershi and Cristina Conati -- Modeling affect by mining students' interactions within learning environments / Manolis Mavrikis ... [et al.] -- Measuring correlation of strong symmetric association rules in educational data / Agathe Merceron and Kalina Yacef -- Data mining for contextual educational recommendation and evaluation strategies / Tiffany Y. Tang and Gordon G. McCalla -- Link recommendation in e-learning systems based on content-based student profiles / Daniela Godoy and Analía Amandi -- Log-based assessment of motivation in online learning / Arnon Hershkovitz and Rafi Nachmias -- Mining student discussions for profiling participation and scaffolding learning / Jihie Kim, Erin Shaw, and Sujith Ravi -- Analysis of log data from a web-based learning environment: a case study / Judy Sheard -- Bayesian networks and linear regression models of students' goals, moods, and emotions / Ivon Arroyo ... [et al.] -- Capturing and analyzing student behavior in a virtual learning environment: a case study on usage of library resources / David Masip, Julià Minguillón, and Enric Mor -- Anticipating students' failure as soon as possible / Cláudia Antunes -- Using decision trees for improving AEH courses / Javier Bravo, César Vialardi, and Alvaro Ortigosa -- Validation issues in educational data mining: the case of HTML-Tutor and iHelp / Mihaela Cocea and Stephan Weibelzahl -- Lessons from Project LISTEN's session browser / Jack Mostow ... [et al.] -- Using fine-grained skill models to fit student performance with Bayesian networks / Zachary A. Pardos ... [et al.] -- Mining for patterns of incorrect response in diagnostic assessment data / Tara M. Madhyastha and Earl Hunt -- Machine-learning assessment of students' behavior within interactive learning environments / Manolis Mavrikis -- Learning procedural knowledge from user solutions to ill-defined tasks in a simulated robotic manipulator / Philippe Fournier-Viger, Roger Nkambou, and Engelbert Mephu Nguifo -- Using Markov decision processes for automatic hint generation / Tiffany Barnes, John Stamper, and Marvin Croy -- Data mining learning objects / Manuel E. Prieto, Alfredo Zapata, and Victor H. Menendez -- An adaptive Bayesian student model for discovering the student's learning style and preferences / Cristina Carmona, Gladys Castillo, and Eva Millán
Dimensions
27 cm.
Extent
xxii, 513 p.
Isbn
9781439804575
Isbn Type
(hardcover : alk. paper)
Lccn
2010033417
Media category
unmediated
Media MARC source
rdamedia
Other physical details
ill., map
System control number
  • (OCoLC)ocn661180674
  • (OCoLC)ocn859664092
Label
Handbook of educational data mining, edited by Cristóbal Romero ... [et al.]
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
volume
Carrier MARC source
rdacarrier
Content category
text
Content type MARC source
rdacontent
Contents
Introduction / Cristóbal Romero ... [et al.] -- Visualization in educational environments / Riccardo Mazza -- Basics of statistical analysis of interactions data from web-based learning environments / Judy Sheard -- A data repository for the EDM community: the PSLC DataShop / Kenneth R. Koedinger ... [et al.] -- Classifiers for educational data mining / Wilhelmiina Hämäläinen and Mikko Vinni -- Clustering educational data / Alfredo Vellido, Félix Castro, and Àngela Nebot -- Association rule mining in learning management systems / Enrique García ... [et al.] -- Sequential pattern analysis of learning logs: methodology and applications / Mingming Zhou ... [et al.] -- Process mining from educational data / Nikola Trc̆ka, Mykola Pechenizkiy, and Wil van der Aalst -- Modeling hierarchy and dependence among task responses in educational data mining / Brian W. Junker -- Novel derivation and application of skill matrices: the q-matrix method / Tiffany Barnes -- Educational data mining to support group work in software development projects / Judy Kay, Irena Koprinska, and Kalina Yacef -- Multi-instance learning versus single-instance learning for predicting the student's performance / Amelia Zafra, Cristóbal Romero, and Sebastián Ventura -- A response-time model for bottom-out hints as worked examples / Benjamin Shih, Kenneth R. Koedinger, and Richard Scheines -- Automatic recognition of learner types in exploratory learning environments / Saleema Amershi and Cristina Conati -- Modeling affect by mining students' interactions within learning environments / Manolis Mavrikis ... [et al.] -- Measuring correlation of strong symmetric association rules in educational data / Agathe Merceron and Kalina Yacef -- Data mining for contextual educational recommendation and evaluation strategies / Tiffany Y. Tang and Gordon G. McCalla -- Link recommendation in e-learning systems based on content-based student profiles / Daniela Godoy and Analía Amandi -- Log-based assessment of motivation in online learning / Arnon Hershkovitz and Rafi Nachmias -- Mining student discussions for profiling participation and scaffolding learning / Jihie Kim, Erin Shaw, and Sujith Ravi -- Analysis of log data from a web-based learning environment: a case study / Judy Sheard -- Bayesian networks and linear regression models of students' goals, moods, and emotions / Ivon Arroyo ... [et al.] -- Capturing and analyzing student behavior in a virtual learning environment: a case study on usage of library resources / David Masip, Julià Minguillón, and Enric Mor -- Anticipating students' failure as soon as possible / Cláudia Antunes -- Using decision trees for improving AEH courses / Javier Bravo, César Vialardi, and Alvaro Ortigosa -- Validation issues in educational data mining: the case of HTML-Tutor and iHelp / Mihaela Cocea and Stephan Weibelzahl -- Lessons from Project LISTEN's session browser / Jack Mostow ... [et al.] -- Using fine-grained skill models to fit student performance with Bayesian networks / Zachary A. Pardos ... [et al.] -- Mining for patterns of incorrect response in diagnostic assessment data / Tara M. Madhyastha and Earl Hunt -- Machine-learning assessment of students' behavior within interactive learning environments / Manolis Mavrikis -- Learning procedural knowledge from user solutions to ill-defined tasks in a simulated robotic manipulator / Philippe Fournier-Viger, Roger Nkambou, and Engelbert Mephu Nguifo -- Using Markov decision processes for automatic hint generation / Tiffany Barnes, John Stamper, and Marvin Croy -- Data mining learning objects / Manuel E. Prieto, Alfredo Zapata, and Victor H. Menendez -- An adaptive Bayesian student model for discovering the student's learning style and preferences / Cristina Carmona, Gladys Castillo, and Eva Millán
Dimensions
27 cm.
Extent
xxii, 513 p.
Isbn
9781439804575
Isbn Type
(hardcover : alk. paper)
Lccn
2010033417
Media category
unmediated
Media MARC source
rdamedia
Other physical details
ill., map
System control number
  • (OCoLC)ocn661180674
  • (OCoLC)ocn859664092

Library Locations

    • Harold B. Lee Library Brigham Young University, Provo, UT, 84602, US
      40.249156 -111.649242
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