COVID-19 has forced big changes in the way lessons are delivered.
But education worldwide needs an even more radical rethink.
Science, technology, engineering and maths are crucial to our future.
COVID-19 has forced more than 1 billion students and youth out of school, triggering the world’s biggest educational technology (edtech) implementation in history, almost overnight. Schools and universities are scrambling to redesign their teaching and learning to allow for students of all ages to study from home. While this raises huge practical and logistic issues for students, teachers and parents (especially women), it opens up a world of opportunities to reimagine what learning looks like in the 21st century.
COVID-19 is casting a long shadow over the futures of young people all around the world.
On World Youth Skills Day, we asked young people their thoughts on redesigning education and skills for the post-COVID era.
For children and young people looking to gain an education and skills, COVID-19 has made a bad situation even worse.
Before the pandemic, they faced a growing mismatch between the skills they were learning in school and those needed for employment.
Now, under the shadow of COVID-19, over one billion are out of school altogether. And millions of young people who were set to join the workforce cannot find jobs.
This moment is an important opportunity to reimagine how, and what, education and skills are delivered to prepare students for a rapidly changing world of work.
But governments and businesses cannot address this problem alone.
So, on World Youth Skills Day, we decided to bring together young people from Algeria, Argentina and South Africa to hear their thoughts about how we can re-design and re-imagine education and skills systems to meet their needs.
The virtual discussion, moderated by Mari-Lisa Njenga, a youth advocate from Kenya, identified four important principles that should guide change.
Hear from Hayde Martinez, Founder and CEO of De Cero a Ciencia De Datos (From Zero to Data Science) on the machine learning as a service tools (MLaaS) she empowers students with to stay connected even when they’re apart. Code and tools: Python, Jupiter Notebook, Psychic Learn, Pandas, Numpy, TensorFlow, and machine learning as a service by cloud providers AWS and Azure. Focuses on background”: How the algorithms work, the memory, data, software, hardware – having this knowledge makes it easier to use machine learning as a service in the cloud. EDequity Executive Insights — In partnership with AAUW San Diego, De Cero a Ciencia De Datos and The Girls Code Initiative.
A virtual community round table discussion addressing the economic consequences of the COVID-19 pandemic on students, educators and public college/university leaders, with particular focus on how to best serve marginalized communities. The panel featured five civic, education and technology thought-leaders who are leading innovation in education with artificial intelligence (AI) and machine learning (ML) in San Diego and across the state of California.