Explore how migration can be taught using both visual storytelling and big data sets. Help learners understand where, why, and how migration happens. There have been urgent recent calls for curricula to address issues of migration. Yet 78% of British teachers asked by the Runnymede Trust said they needed more support “to equip them to teach migration more sensitively and effectively.” On this course, teachers can develop their skills to explain where and why migration happens.
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You’ll learn how to interpret big data sets, examining migration research through video and learning activities.
You’ll also explore creative methods of storytelling, visual arts, and design to humanise migration stories through arts and empathic learning.
What topics will you cover?
- Developing teachers’ capacities and skills to access big data sets and contemporary research by providing the guidance, tools, and experience through video and learning activities delivered online
- Sharing and shaping understanding of the role of creative methods of storytelling, visual arts, and design to humanise migrant stories through creative and empathic learning
- Exploring the combined importance of both data-led evidence and arts to tackle global challenges such as migration, inequality, and development
- Equipping learners with critical thinking, data skills, independent investigation, and understanding reliability of sources
What will you achieve?
By the end of the course, you‘ll be able to...
- Investigate why migration happens
- Explain where migration happens
- Explore ways of introducing large data on migration to learners
- Explore how using infographics will support learners to critically engage with data
- Explore how you can support students to access a large data set
Who is the course for?
This course is designed for teachers educators who want to know how to teach migration using data and storytelling. It would also appeal to anyone learning from home interested in these issues, or educators and learners interested in critical thinking, data skills, independent investigation, and understanding the reliability of sources.
