Mathematics and Statistics Education Assessment
Learning outcomes (LO)
The following learning outcomes are applicable to all Math majors, independently of the program.
- Mastery of Quantitative Literacy: Students should demonstrate competency in understanding mathematical and statistical models and be able to draw inferences from them. Students should be able to interpret various symbolic, visual, numerical, and verbal representations of data.
- Connection to Content and Disciplinary Practice: Students should demonstrate knowledge of connections between the content of advanced mathematics and school mathematics along with knowledge of mathematical disciplinary practices. Mathematical disciplinary practices refer to “what it means to do mathematics” and includes co-constructing mathematical arguments and language with peers, proving, and conjecturing.
- Connection to Learning Theories and Evidence-Based Teaching Methods: Students will be able to demonstrate knowledge of cognitive principles relevant to mathematical learning along with research-based teaching/assessment methods in alignment with NCTM standards.
- Modeled Connection with Incorporation of Technology: Students will demonstrate the ability to enact pedagogical models, informed by their coursework, and use technology during their clinical experiences.
- Belongingness/Cultural Awareness: Students will demonstrate mathematical self-efficacy and belongingness. In addition, students will demonstrate awareness of various backgrounds and cultures during their clinical experiences.
Courses used for assessment
As per the General Catalog of the University, the following Math/Stat Education major programs share common courses within their respective "Major Requirements":
Mathematics/Statistics Education (Composite)- BA, BS
The common courses listed below are used for the evaluation purposes:
MATH 2280 - Ordinary Differential Equations
STAT 3000 – Statistics for Scientists
MATH 3310 - Discrete Mathematics
MATH 4500 – Methods of Secondary School Mathematics Teaching
Mapping of courses and learning outcomes
|
MATH 2280 |
STAT 3000 |
MATH 3310 |
MATH 4500 |
LO1 |
X |
X |
X |
|
LO2 |
|
X |
X |
X |
LO3 |
|
|
|
X |
LO4 |
X |
X |
|
X |
LO5 |
|
X |
|
X |