COVE project supports high school teachers across Canada teach ocean data into the classroom
COVE is launching a new iteration of the long-established Ocean Institute program. Deep Dive into Data supports educators across Canada in integrating ocean data into high school curriculums.
The one-day workshop is designed for high school educators in diverse communities, including Black and First Nations communities, focused on ocean data collected from Stella Maris, COVE’s multi-sensor seabed platform. The program will allow teachers to become familiar with a range of ocean technology data through hands-on data analysis and allow them to incorporate data projects into the curriculum.
“Deep Dive into Data bridges the gap for students across Canada to experience working with real ocean data and will open doors for them to various career options in the sector,” said Melanie Nadeau, CEO of COVE. “COVE is a world leader in ocean innovation, and with Deep Dive into Data, we are providing teachers in far-reaching communities with tools to help students acquire the skills they need to succeed.”
Funded by the Government of Canada, through CanCode, Deep Dive into Data is led by COVE and supported by DeepSense and SuperNOVA in Nova Scotia, Women in Resource Development Corporation and OceansAdvance in Newfoundland and Labrador, and Ocean Wise in British Columbia.
“To drive our economic success for years to come, we must support young Canadians in the digital world,” said The Honourable François-Philippe Champagne, Minister of Innovation, Science and Industry. “By investing in resources that teach students things like coding and data analytics, we are helping them gain the skills needed to succeed in the 21st century economy. These are the skills that will help them transition from the classroom to research labs, shop floors and boardrooms.”
Deep Dive into Data further demonstrates COVE’s commitment to supporting Canada’s ocean technology sector by building one of the smartest, most skilled and most creative workforces in the world.