Big Data in Education: Pedagogy and Research
| 団体著者: | |
|---|---|
| その他の著者: | |
| 要約: | XII, 247 p. 77 illus., 50 illus. in color. text |
| 言語: | 英語 |
| 出版事項: |
Cham :
Springer International Publishing : Imprint: Springer,
2021.
|
| 版: | 1st ed. 2021. |
| シリーズ: | Policy Implications of Research in Education,
13 |
| 主題: | |
| オンライン･アクセス: | https://doi.org/10.1007/978-3-030-76841-6 |
| フォーマット: | 電子媒体 図書 |
目次:
- Part 1: Theoretical and ethical concerns
- 1 Big Data in academic research—Challenges, pitfalls, and opportunities
- Part 2: Teaching people to use Big Data effectively
- 2 Big Data for Early Learners
- 3 Using Big Data in a Master of Applied Statistics unit
- 4 Statistical education as part of the digital transformation of statistical offices
- Part 3: Using Big Data to improve teaching
- 5 Big data, analytics and education: Challenges, opportunities and an example from a large university unit
- 6 Enhancing learning outcomes with ‘big data’ from pedagogy for conceptual thinking with meaning equivalence reusable learning objects (MERLO) and interactive concept discovery (INCOD)
- 7 Employing Authentic Analytics for More Authentic Tasks
- 8 Learning from Learning Analytics: How much do we know about patterns of student engagement?
- Part 4: Educational systems that use Big Data
- 9 Museum Big Data: Perceptions and practices
- 10 Analysing aspects of Brazilian curricula for teaching statistics involving Big Data
- Part 5: Concluding Comments.