Teaching Assistant, Math 101: Quantitative Reasoning - Saskatoon, Canada - University of Saskatchewan

University of Saskatchewan

Verified Company

Saskatoon, Canada

3 weeks ago

Posted by:

Sophia Lee

beBee Recruiter

Description

Teaching Assistant, MATH 101:

Quantitative Reasoning:

Rates of Pay:
See current rates of pay**
Required Number of Hours: 6 to 12 hours per week

Duration of Employment:
September 6 to December 23, 2023 or January 3 to April 26, 2024

The position of Teaching Assistant for
MATH 101:_Quantitative Reasoning_** is an exciting opportunity to gain proficiency with pedagogical techniques developed to promote a well-rounded and successful introduction to real-world quantitative thinking.

It is an ideal position for those who are looking to diversify and enhance their teaching portfolios. Teaching Assistants will be able to refine their teaching craft through the mentorship of the lead instructor.

Course Description

MATH 101:

_ Quantitative Reasoning_ will expose students to various aspects of quantitative reasoning, including the use of quantitative arguments to analyze problems, critique arguments, and draw and justify conclusions; the recognition and evaluation of quantitative assumptions; and the detection and interpretation of trends and patterns in quantitative data drawn from real-world sources and case studies.

The course will nurture basic skills in numeracy, arithmetic, and estimation. In the process, students will learn to use algebraic and statistical methods to solve problems and understand changing quantities. They will also use visual and technological tools to assist with calculations and analysis.

The format of the course involves 1 hour of lecture and 3 hours of lab-based active learning activity per week, emphasizing inquiry and practice.

Duties
The duties and responsibilities of Teaching Assistant, MATH 101, include:

facilitating group collaboration sessions twice per week, providing students with context, assistance, and encouragement both synchronously and asynchronously in various modalities;

- reviewing and assessing group collaboration results asynchronously, and producing responses to share with the students and the principal instructor;
- grading and providing constructive feedback on a variety of assessment types, including computations, mathematical explanations, and reflective writing;
- answering student correspondence and providing support for their learning;
- recording grades in the learning management system;
- working in close collaboration with the principal instructor and actively participating in weekly instructional team meetings to ensure quality and consistency of course delivery;
- exemplifying the ideals upon which MATH 101 is based: collegiality, tenacity, adaptability, and reasonability.

Qualifications (Skills and Abilities)

Training

To Apply:

Interested applicants must provide the following materials:

Cover letter: _Indicate why you are seeking the position and why you are suitably qualified for the role._

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Teaching statement: _Describe your philosophy and/or experience of quantitative teaching and learning using concrete examples from your own education or past teaching roles. _

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Curriculum Vitae:

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Letter(s) of support:_Please provide a letter from a faculty member familiar with your teaching. Please also provide a letter from the Graduate Chair of your program confirming your availability for this position in Term 1 and/or Term 2 of if your Graduate Chair is also the person best qualified to write your teaching letter, please indicate this)._

Where a graduate student is appointed to this position, it will be in scope of
PSAC.

Department:
Mathematics & Statistics

Status:
Term

Employment Group:
Graduate Students - PSAC

Full Time Equivalent (FTE): 0.3

Salary:
The starting salary will be commensurate with education and experience.

Salary Phase/Band:
Not Applicable

Posted Date: 7/4/2023

Closing Date: 7/18/2023 at 6:00 pm CST

Number of Openings:10

Work Location:
On Campus

Criminal Record Check:
Not Applicable

Driver's License and Abstract Check:
Not Applicable

Education/Credential Verification:
Not Applicable

Vulnerable Sector Check:
Not Applicable