Cisco Catalyst award details
The funding enables the experimentation, application, and implementation of technology into learning and teaching. The award can fund various projects at different amounts, as determined by the project proposals and decision-making process.
Award funding is allocated to project(s) based on their alignment to strategy within the school/department, impact on students, connection to other initiatives and projects across SAIT, and enabling processes and structures to support project success.
Recent recipients
Nikolay Bukharin, School of Manufacturing and Automation
Nikolay will create a computational fluid dynamics and finite element analysis lab for students to learn advanced modelling software and run simulations. This has the potential to benefit many of SAIT’s engineering technology programs and will provide students with training on advanced software extensively used in industry.
William Hu, School for Advanced Digital Technologies
William will build a cost-effective software-defined networking virtual lab for students, thereby allowing students to acquire up-to-date, hands-on skills with software-defined networking. This has the potential to benefit students in several programs.
Steve Janz, School of Business
He will develop Open Educational Resources for a new computer accounting software program that replaces existing software in several accounting courses. This will allow SAIT to more efficiently and effectively train students on the most up-to-date software used in the industry and will increase student success.
Jacqueline Lydon, School of Business
Her work will transition a course delivered in the BBA and the BA programs to an E2 learning hybrid model, which represents the fusion between the best of traditional classroom strategies and online learning technologies to increase learning accountability, provide greater flexibility for students, and achieve a broader range of learner outcomes.
Yoni Porat, School of Business
He will develop an online diagnostic tool for statistical misconceptions to improve student performance in introductory statistics courses, in which many students struggle. This will include individualized remediation for students and can be used by instructors as an assessment tool at the start of the semester and/or by students as a self-diagnostic tool.
Heramb Vadalkar, School of Business
His work will introduce blended learning into two business finance courses linked to external licensing exams and explore the development of a new blended course for financial services covering the impact of information technology, blockchain, artificial intelligence and data analysis on financial services.