MA-441 Statistics for Primary School Teachers
- ECTS Credits:
- 10
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Pauline Vos
- Lecture Semester:
- Autumn
- Teaching language:
- Norwegian
- Duration:
- 1 term
Teaching language
NorwegianPrerequisites
Completed 60 ECTS credits in mathematics
Course contents
The course is based on the students' basic knowledge of applied statistics and probability. The emphasis is on the use of statistical methods to authentic problems in society, such as health, environment, migration, education, etc. The course uses a project-based learning approach, in which students gain experience in the use and interpretation of data visualization and data analysis, which involves simple use of statistical software. The course deals with society's increasing datafication, including big data, missing data, uncertainty of predictions, improvement or difference, correlation, model building, data collection and interpretation of statistics. It includes studies of research articles including statistical surveys, among which those related to children's learning. An introduction to the theory behind project-based and inquiry-based learning is given and the students will design a project-based lesson on statistics in primary schools.
The subject in practice
During the 5 days in teaching practice, it will be arranged for the student to gain experience with the use of various teaching resources in mathematics and student-active teaching methods
Learning outcomes
On successful completion of the course, the student should:
-
have insight into the use of statistics in society, in particular collection of big data
-
have applied knowledge of concepts in descriptive statistics and probability calculations, such as estimation, predictions, significance, expectation values, accidentality, uncertainty, sample and correlation
-
have knowledge of the background of statistical methods and techniques for data collection and data analysis
-
have knowledge about statistical data visualizations and simulations
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be able to evaluate the relevance of methods and interpret results and show a reflected attitude towards the use of statistics in society
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be able to interpret regression models to look at the relationship between data sets, and has knowledge about the difference of correlation and causality
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be able to use statistical software for data visualization and data analysis
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be able to understand, summarize, popularize and criticize statistical studies, in particular studies on mathematics education with relevance to Primary School
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have insight into theories and research on project-based and inquiry-based learning
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have introductory knowledge of the design of inquiry- and project-based learning activities with societal relevance
Examination requirements
The teacher education students
-
approved attendance in the course
-
approved required assignments. (see Canvas for more information)
-
approved practice
Other students
-
approved attendance in the course
-
approved portfolio collection of mathematical tasks.(see Canvas for more information)
-
approved didactic work of similar scope as practice
Teaching methods
Joint teaching, work in small groups, compulsory assignments, oral presentations. Statistical software is used where appropriate.
It's requirements for attendance at parts of the teaching given on Canvas at the start of the semester.
The course has an expected scope of work of 267 hours.
It is included 5 days practice for the teacher education students. This is a preparation for the teaching practice in the 8th semester.
Other students will perform a didactic work of similar scope as practice.
Evaluation
The study programme manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.
Assessment methods and criteria
Portfoli assessment of presentations and project work which is normally performed in groups. The demands for the portfolio assessment will be announced in Canvas at semester start.
Reduction of Credits
This course’s contents overlap with the following courses. A reduction of credits will occur if one of these courses is taken in addition:
Course | Reduction of Credits |
---|---|
MA-217 – Statistics 2 | 7.5 |
MA-425 – Statistics for Primary School | 7.5 |
MA-166 – Statistics 1 | 2.5 |