Level UP- Effect of COVID-19 pandemic on education Phase 2
Preferred learners
- Edmonton, Alberta, Canada
- Academic experience or paid work
Categories
Skills
Project scope
- What is the main goal for this project?
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To conduct a province-wide study of school divisions’ experiences with teacher retention before and after the COVID-19 pandemic. This will be achieved by distributing a survey inquiring about how staff employing, retention, and dismissal have changed since the pandemic. The survey will also identify hiring practices and division properties such as rural/urban. Once complete, this survey will be submitted to the College of Alberta School of Superintendents (CASS), Alberta’s educational leaders that oversee the success of school systems in Alberta.
Survey data will be used with data analysis techniques; unsupervised learning techniques such as clustering will identify key factors associated with higher or lower staff hiring, retention, and other quantifiers. Patterns associated with hiring techniques will be analyzed, and conclusions about population geographical factors’ relation to the survey results will be drawn.
- What tasks will learners need to complete to achieve the project goal?
-
1. Conduct an Alberta-wide survey targeted at school divisions.
2. Clean and transform the collected data from the survey.
3. Use RStudio to conduct data analysis processes such as clustering and decision trees.
4. Record findings in an academic research paper.
- What is the main goal for this project?
-
To conduct a province-wide study of school divisions’ experiences with teacher retention before and after the COVID-19 pandemic. This will be achieved by distributing a survey inquiring about how staff employing, retention, and dismissal have changed since the pandemic. The survey will also identify hiring practices and division properties such as rural/urban. Once complete, this survey will be submitted to the College of Alberta School of Superintendents (CASS), Alberta’s educational leaders that oversee the success of school systems in Alberta.
Survey data will be used with data analysis techniques; unsupervised learning techniques such as clustering will identify key factors associated with higher or lower staff hiring, retention, and other quantifiers. Patterns associated with hiring techniques will be analyzed, and conclusions about population geographical factors’ relation to the survey results will be drawn.
- What tasks will learners need to complete to achieve the project goal?
-
1. Conduct an Alberta-wide survey targeted at school divisions.
2. Clean and transform the collected data from the survey.
3. Use RStudio to conduct data analysis processes such as clustering and decision trees.
4. Record findings in an academic research paper.
- How will you support learners in completing the project?
-
The student will work under the supervision of Dr. Mohamad El-Hajj.
About the company
- https://www.macewan.ca/academics/academic-departments/computer-science/
- 0 - 1 employees
- Education
Computer Science studies the nature and techniques of problem solving through computation. Understanding computation requires a knowledge of hardware, software, mathematics and logic. The discipline and practice includes the essentials such as psychology, philosophy, linguistics and management theories–computer science connects technology with people. Students can choose one of two streams of study in computer science. The general computer science major is flexible and allows students to create a focus that reflects your interests. The software professional concentration provides the best preparation for a career in software development.