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- Title
Choosing and using data and contexts for learning.
- Authors
MacGillivray, Helen
- Abstract
If a context requires more than basic understanding from students or if a context is too dominant, authentic statistical learning is inhibited by context learning or by non-transferability of learning. The value for student statistical learning and engagement of real data and real contexts has been stated and established for so long and so thoroughly by statisticians and statistics educators that it is almost superfluous to restate it. Contexts with datasets suggested by serviced disciplines are too often unsuitable for their students due to overly-complicated or advanced discipline-based contexts with limited data learning potential.
- Subjects
STATISTICAL learning; STATISTICAL energy analysis; JAPANESE students; PSYCHOLOGY of students
- Publication
Teaching Statistics, 2023, Vol 45, Issue 2, p59
- ISSN
0141-982X
- Publication type
Article
- DOI
10.1111/test.12338