Elatia S., Ipperciel D., Zaiane O.R. Data Mining and Learning Analytics: Applications in Educational Research

Wiley, 2016. — 314 p. — (Methods and Applications in Data Mining). — ISBN: 9781118998236This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational research, while also defining and discussing data mining’s four guiding principles — prediction, clustering, rule association, and outlier detection. The next series of chapters showcase the pedagogical applications of Educational Data Mining (EDM) and feature case studies drawn from Business, Humanities, Health Sciences, Linguistics, and Physical Sciences education that serve to highlight the successes and some of the limitations of data mining research applications in educational settings. The remaining chapters focus exclusively on EDM’s emerging role in helping to advance educational research — from identifying at-risk students and closing socioeconomic gaps in achievement to aiding in teacher evaluation and facilitating peer conferencing. This book features contributions from international experts in a variety of fields.At The Intersection of Two Fields: EDM
Educational Process Mining: A Tutorial and Case Study Using Moodle Data Sets
On Big Data and Text Mining in The Humanities
Finding Predictors in Higher Education
Educational Data Mining: A MOOC Experience
Data Mining and Action Research
Pedagogocal Applications of EDM
Design of An Adaptive Learning System and Educational Data Mining
The “Geometry” of Naive Bayes: Teaching Probalities by “Drawing” Them
Examining The Learning Networks of A MOOC
Exploring The Usefulness of Adaptive Elearning Laboratory Enviroments in Teaching Medical Science
Investigating Co‐occurence Patterns of Learners’ Grammatical Errors Across Proficiency Levels and Essay Topics Based on Assotiation Analysis
EDM and Educational Research
Mining Learning Sequences in MOOCs: Does Course Design Constrain Students’ Behaviors or Do Students Shape Their Own Learning?
Understanding Communication Patterns in MOOCs: Combining Data Mining and Qualitative Methods
An Example of Data Mining: Exploring The Relationship Between Applicant Attributes and Academic Measures of Success in A Pharmacy Program
A New Way of Seeing: Using A Data Mining Approach to Understand Children’s Views of Diversity and “Difference” in Picture Books
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