Learning analytics is a rapidly growing and emergent field of research impacting the evolution of higher education, notably as it relates to learners' academic success and the design of personalized learning environments. In this online College Certificate program, students explore the collection, measurement and analysis of online learner data that informs decision-makers regarding learners' experience and overall academic performance. Students focus specifically on how learning analytics can help improve online learner retention and success, target at-risk learner populations and design curriculum for adaptive learning environments. Students also examine access and privacy issues as they relate to policies governing student data collection and learning analytics research.
Through analytics simulation, online discussions and applied learning activities and assignments, students practise learning analytics through the application of its evolving principles, methodologies and tools. The goal is to identify solutions to particular challenges faced by learners, as well as to optimize their user experience, their academic success and adaptive curriculum design practices.
Targeted towards professionals in education, instructional design, curriculum development, corporate training and digital analytics, this program broadens students' existing practice, expands their career opportunities and keeps them current in the latest trends and best practices in learning analytics.
To qualify for this certificate, students must complete the program within two years.
This program is well-suited to students who:
- Are analytical problem solvers.
- Are self-directed in online learning environments.
- Enjoy interacting with others in virtual group settings.
- Are familiar with teaching and learning pedagogy and multiple delivery modes.
Graduates may seek employment in educational/training settings, including K-12 administration, continuing education/adult education, community colleges, academic departments in colleges or universities, instructional design, and corporate training and consulting engaged in the implementation and management of learning analytics programs.
Graduates may also work as self-employed entrepreneurs in the education industry.
Fees & Expenses
Fees for part-time programs are charged on a course-by-course basis and are published on each individual course page. For questions related to fees, please call the Registrar's Office at 613-727-0002.
Once you have completed all the courses in the program, it is the responsibility of the student to contact the Registrar's Office to obtain a certificate/diploma application. A graduation fee of $40 will be charged when the application is submitted. When your certificate/diploma application has been approved, you will be invited to Spring or Fall Convocation.
- Ontario Secondary School Diploma (OSSD) or equivalent, OR Mature Student status (19 years of age or older and without an OSSD).
- Ontario Secondary School Diploma (OSSD) or equivalent, OR
- Mature Student status (19 years of age or older and without an OSSD).
This program has flexible scheduling options allowing students the opportunity to complete the program within as little as two terms or as long as two years.
As per policy AA39: Program Progression and Graduation Requirements when students are admitted to a program, they are assigned to the Program of Study that aligns with their start date. If a student takes a break for two or more consecutive terms the Program of Study is reset to align with the current version (when studies are resumed). For more information please contact your Program Coordinator.
CCOL Academic Planner
The Academic Planner provides registered part-time students in the Centre for Continuing and Online Learning (CCOL) the ability to declare into a program of study. The Academic Planner outlines successfully completed courses to date, as well as courses that need to be completed in order to meet graduation requirements. It is therefore, essential that all part-time students in CCOL declare to their program of study, allowing administrators to plan course offerings. The tool is available on ACSIS, located under 'Continuing Education' on the left-hand toolbar.
For more information, please contact Melissa Langlais, Program Coordinator, at 613-727-4723 ext. 7310 or firstname.lastname@example.org.
|EDU2103||45.0||Learning Analytics Techniques|
|EDU2104||45.0||Managing Learning Analytics|
EDU2102 Learning Analytics
Learning analytics is a rapidly growing and emergent field of research impacting the evolution of higher education. Using a hands-on approach, students develop a thorough understanding of the field of learning analytics, from analytics methodologies and tools to the limitations imposed by technology, costs and privacy concerns. Through a combination of online material and simulations, students identify which metrics best measure learner behaviour, curriculum design and how to use each one to gain insights into learners' experience.
EDU2103 Learning Analytics Techniques
Turning learner data into business intelligence insights is critical to providing learner academic success and a personalized learning experience. Students develop analysis techniques to identify learner experience shortfalls with the goal of recommending practical solutions. Through hands-on exercises, students analyze learner data from data analysis platforms.
EDU2104 Managing Learning Analytics
The success of a learning analytics program depends on the analyst's ability to align measurement efforts to institutional objectives and effectively communicate analytics intelligence across various levels of an educational institution. Students create key performance indicators that align learning analytics to business objectives, as well as integrate learning analytics within institutional decision-making processes.