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Handbook of educational data mining

Handbook of educational data mining (5회 대출)

Romero, C. (Cristobal).
서명 / 저자사항
Handbook of educational data mining / edited by Cristâobal Romero ... [et al.].
Boca Raton :   CRC Press, Taylor & Francis Group,   c2011.  
xxii, 513 p. : ill. ; 27 cm.
Chapman & Hall/CRC data mining and knowledge discovery series
9781439804575 (hardcover : alk. paper)
"A Chapman & Hall Book."  
Includes bibliographical references and index.
Education --Data processing. Computer-assisted instruction. Data mining --Handbooks, manuals, etc.
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008 150403s2011 flua b 001 0 eng d
010 ▼a 2010033417
020 ▼a 9781439804575 (hardcover : alk. paper)
035 ▼a (KERIS)REF000016031904
040 ▼a DLC ▼c DLC ▼d DLC ▼d 211009
050 0 0 ▼a LB1028.43 ▼b .H355 2011
082 0 0 ▼a 370.285/6312 ▼2 23
084 ▼a 370.2856312 ▼2 DDCK
090 ▼a 370.2856312 ▼b H236
245 0 0 ▼a Handbook of educational data mining / ▼c edited by Cristâobal Romero ... [et al.].
260 ▼a Boca Raton : ▼b CRC Press, Taylor & Francis Group, ▼c c2011.
300 ▼a xxii, 513 p. : ▼b ill. ; ▼c 27 cm.
490 1 ▼a Chapman & Hall/CRC data mining and knowledge discovery series
500 ▼a "A Chapman & Hall Book."
504 ▼a Includes bibliographical references and index.
650 0 ▼a Education ▼x Data processing.
650 0 ▼a Computer-assisted instruction.
650 0 ▼a Data mining ▼x Handbooks, manuals, etc.
700 1 ▼a Romero, C. ▼q (Cristobal).
830 0 ▼a Chapman & Hall/CRC data mining and knowledge discovery series.
945 ▼a KLPA


No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/Sci-Info(2층서고)/ 청구기호 370.2856312 H236 등록번호 121232722 도서상태 대출가능 반납예정일 예약 서비스 B M
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Preface, Joseph E. Beck

Introduction, Cristobal Romero, Sebastian Ventura, Mykola Pechenizkiy, and Ryan Baker

Basic Techniques, Surveys, and Tutorials
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, Ryan Baker, Kyle Cunningham, Alida Skogsholm, Brett Leber, and John Stamper
Classifiers for EDM, Wilhelmiina Hamalainen and Mikko Vinni
Clustering Educational Data, Alfredo Vellido, Felix Castro, and Angela Nebot
Association Rule Mining in Learning Management Systems, Enrique Garcia, Cristobal Romero, Sebastian Ventura, Carlos de Castro, and Toon Calders
Sequential Pattern Analysis of Learning Logs: Methodology and Applications, Mingming Zhou, Yabo Xu, John C. Nesbit, and Philip H. Winne
Process Mining from Educational Data, Nikola Tr?ka, Mykola Pechenizkiy, and Wil van der Aalst
Modeling Hierarchy and Dependence among Task Responses in EDM, Brian W. Junker

Case Studies
Novel Derivation and Application of Skill Matrices: The q-Matrix Method, Tiffany Barnes
EDM 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, Cristobal Romero, and Sebastian 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, Sidney D’Mello, Kaska Porayska-Pomsta, Mihaela Cocea, and Art Graesser
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 Analia 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, David G. Cooper, Winslow Burleson, and Beverly P. Woolf
Capturing and Analyzing Student Behavior in a Virtual Learning Environment: A Case Study on Usage of Library Resources, David Masip, Julia Minguillon, and Enric Mor
Anticipating Student’s Failure as soon as Possible, Claudia Antunes
Using Decision Trees for Improving AEH Courses, Javier Bravo, Cesar Vialardi, and Alvaro Ortigosa
Validation Issues in EDM: The Case of HTML-Tutor and iHelp, Mihaela Cocea and Stephan Weibelzahl
Lessons from Project LISTEN’s Session Browser, Jack Mostow, Joseph E. Beck, Andrew Cuneo, Evandro Gouvea, Cecily Heiner, and Octavio Juarez
Using Fine-Grained Skill Models to Fit Student Performance with Bayesian Networks, Zachary A. Pardos, Neil T. Heffernan, Brigham S. Anderson, and Cristina L. Heffernan
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 Millan


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