Data mining and learning analytics : applications in educational research
| Other Authors: | , , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Hoboken, New Jersey :
John Wiley & Sons
c2016
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| Series: | Wiley Series on Methods and Applications in Data Mining
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| Subjects: |
Table of Contents:
- 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