ST519 - Teaching and Learning Statistical Thinking
- Prerequisites: ST507 or ST511 or equivalent statistical knowledge
- Term & Frequency: Every spring semester
- Student Audience: Graduate students in statistics and mathematics education and related fields who are interested in issues of teaching and learning statistical ideas in grades 6-12 and collegiate-level introductory statistics. Course is cross-listed as EMS 519.
- Credit: 3 credits
- Recent Texts: G. Burrill (Ed.) (2006). Thinking and Reasoning with Data and Chance: Sixty-eighth Yearbook. Reston: VA: National Council of Teachers of Mathematics. There are also many readings from a variety of sources housed in the NCSU’s library online course e-reserves
- Recent Instructors: Dr. Hollylynne Lee, Associate Professor of Mathematics Education
- Background and Goals: This course is designed to bridge theory and practice of how students develop understandings of key concepts in data analysis, statistics, and probability. Discussion of students’ understandings, teaching strategies and the use of manipulatives and technology tools (graphing calculators, Fathom, TinkerPlots, Excel). Course will help prepare students for designing and teaching courses in statistics.
- Content: Topics include distribution, measures of center and spread, sampling, sampling distribution, bivariate analysis, correlation, randomness, and law of large numbers. Many readings are assigned from book chapters and research journals to familiarize students with theories and frameworks in statistics education research and teaching.
- Alternatives: None
- Subsequent Courses: None
S1 2017 Sections:
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