http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
xxviii, 283 pages : illustration ; 24 cm.
1. Educational process mining: a tutorial and case study using moodle data sets -- 2. On big data and text mining in the humanities -- 3. Finding predictors in higher education -- 4. Educational data mining: a mooc experience -- 5. Data mining and action research -- 6. Design of an adaptive learning system and educational data mining -- 7. The "geometry" of naive bayes: teaching probabilities by "Drawing" theam -- 8. Examining the learning networks of the a mooc -- 9. Exploring the usefulness of adaptive elearning laboratory environments in teaching medical science -- 10. Investigating co-occurrence patterns of learning" grammatical errors across proficiency levels and essay topics based on association analysis -- 11. Mining learning sequences in moocs: does course design constrain students' behaviors or do students shape their own learning? -- 12. Understanding communication patterns in moocs: combining data mining and qualitative methods -- 13. An example of data mining: exploring the relationship between applicant attributes and academic measures of success in a pharmacy program -- 14. A new of seeing: using data mining approach to understand children's views of diversity and "difference" in picture books -- 15. 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
edited by Samira ElAtia, Donald Ipperciel, Osmar R. Zaiane
Includes bibliographical references and index