What Can You Do with Data in Your Classroom?
Every day, “intelligent” machines are sorting your inbox, recommending music, vacuuming your floor, or teaching you Klingon – and schools are not exempt from their influence. The “intelligence” of these machines is mostly based on data. Can such machines also help us to support our students’ learning?
What kind of artificial intelligence can you already use in education, and why isn’t there more? What do you need to know when dealing with pupils’ data? In other words: what can you do with data in the classroom?
This course will walk you through the latest advances in this field and help you to apply some of them in your lessons.
The course will start on 7 November and conclude on 16 December 2022. The estimated workload is 2-3 hours per week.
Duration and workload
The course is aimed at primary and secondary school teachers including those working at vocational education and training schools who wish to learn more about the use of data in the classroom, with a particular focus on the role of artificial intelligence. No prior knowledge of the topic is required.
Obiective de invatare
By the end of the course, you will:
- Understand the role, potential, and challenges of using data in our classrooms
- Tell artificial intelligence tools and systems apart from regular digital tools
- Plan to use learner-facing data and AI tools to support student learning
- Plan to use teacher-facing data and AI tools to support your daily work
- Reflect on some ethical and pedagogical criteria for using data and AI tools
- Draft a presentation for your school leadership or colleagues about how to make more or better use of student data at your school
- Review presentations of your peers
Continut oferit de Comisia Europeana.The European Commission is the European Union's politically independent executive arm. It is alone responsible for drawing up proposals for new European legislation, and it implements the decisions of the European Parliament and the Council of the European Union.
- How this course works
- Module 1: Data - It's just Part of Good Teaching
- Module 2: Data & Personalised Learning
- Module 3: Data Tools as Time-Savers
- Module 4: Big Dilemmas with Big Data – Opportunities and Concerns
- Module 5: Final Assignment