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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
[John Wiley & Sons],
[2016]
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
Tabla de Contenidos:
- TITLE PAGE ; COPYRIGHT PAGE ; CONTENTS; NOTES ON CONTRIBUTORS; INTRODUCTION: EDUCATION AT COMPUTATIONAL CROSSROADS; PART I AT THE INTERSECTION OF TWO FIELDS: EDM ; CHAPTER 1 EDUCATIONAL PROCESS MINING: A TUTORIAL AND CASE€STUDY USING MOODLE DATA SETS; 1.1 BACKGROUND; 1.2 DATA DESCRIPTION AND€PREPARATION; 1.2.1 Preprocessing Log Data; 1.2.2 Clustering Approach for€Grouping Log Data; 1.3 WORKING WITH€ProM; 1.3.1 Discovered Models; 1.3.2 Analysis of€the€Models' Performance; 1.4 CONCLUSION; ACKNOWLEdGMENTS; REFERENCES; CHAPTER 2 ON BIG DATA AND€TEXT MINING IN€THE€HUMANITIES; 2.1 BUSA AND€THE€DIGITAL TEXT2.2 THESAURUS LINGUAE GRAECAE AND€THE€IBYCUS COMPUTER AS€INFRASTRUCTURE; 2.2.1 Complete Data Sets; 2.3 COOKING WITH€STATISTICS; 2.4 CONCLUSIONS; REFERENCES.
- CHAPTER 3 FINDING PREDICTORS IN€HIGHER EDUCATION; 3.1 CONTRASTING TRADITIONAL AND COMPUTATIONAL METHODS; 3.2 PREDICTORS AND€DATA EXPLORATION; 3.3 DATA MINING APPLICATION: AN€EXAMPLE; 3.4 CONCLUSIONS; REFERENCES; CHAPTER 4 EDUCATIONAL DATA MINING: A€MOOC EXPERIENCE; 4.1 BIG DATA IN€EDUCATION: THE€COURSE; 4.1.1 Iteration 1: Coursera; 4.1.2 Iteration 2: edX; 4.2 COGNITIVE TUTOR AUTHORING TOOLS; 4.3 BAZAAR; 4.4 WALKTHROUGH4.4.1 Course Content; 4.4.2 Research on€BDEMOOC; 4.5 CONCLUSION; ACKNOWLEDGMENTS; REFERENCES.
- CHAPTER 5 DATA MINING AND ACTION RESEARCH; 5.1 PROCESS; 5.2 DESIGN METHODOLOGY; 5.3 ANALYSIS AND€INTERPRETATION OF€DATA; 5.3.1 Quantitative Data Analysis and€Interpretation; 5.3.2 Qualitative Data Analysis and€Interpretation; 5.4 CHALLENGES; 5.5 ETHICS; 5.6 ROLE OF€ADMINISTRATION IN€THE€DATA COLLECTION PROCESS; 5.7 CONCLUSION; REFERENCES; PART II PEDAGOGICAL APPLICATIONS OF EDM ; CHAPTER 6 DESIGN OF€AN€ADAPTIVE LEARNING SYSTEM AND€EDUCATIONAL DATA€MINING; 6.1 DIMENSIONALITIES OF€THE€USER MODEL IN€ALS6.2 COLLECTING DATA FOR€ALS; 6.3 DATA MINING IN€ALS; 6.3.1 Data Mining for€User Modeling; 6.3.2 Data Mining for€Knowledge Discovery; 6.4 ALS MODEL AND€FUNCTION ANALYZING; 6.4.1 Introduction of€Module Functions; 6.4.2 Analyzing the€Workflow; 6.5 FUTURE WORKS; 6.6 CONCLUSIONS; ACKNOWLEDGMENT; REFERENCES.