Tech-Enabled Data Literacy for Active Learning

 

About the course

More and more schools are adopting digital technologies, from learning management systems to AI tutors and adaptive learning technologies. These digital tools and resources collect various trace and learning data that teachers can use for the benefit of their classroom. Furthermore, teachers will benefit from developing their data literacy, helping their students become data literate to adapt themselves to a data-informed world.

This on-site course on Data Literacy and Innovative Technology Practices for Active Learning is designed to give a hands-on approach to help participants develop their own ideas about data literacy and the effective use of data collection tools for assessment and feedback. Through workshops, participants will become more familiar with learning analytics and how to use them to support their students’ learning. The training will explore data practices in the classroom to benefit all students, including those with disabilities and special needs. Participants will have the opportunity to exchange with colleagues on how to design lessons and activities that make learners develop data literacy and reflect on their own learning.

Key competences

This course includes content and activities that develop the following competences according to the digital competence framework of the European Commission's Selfie for Teachers tool.

 

Area 3 - Teaching and Learning

  • Emerging technologies to B1 level
  • Self-regulated learning to B1 level
  • Collaborative Learning to B1 level

 

 

Area 4 - Assessment

  • Assessment strategies to B1 level
  • Analysing evidence to B1 level
  • Feedback & planning to B1 level

Area 5 - Empowering Learners

  • Differentiation and Personalisation to B1 level
  • Actively Engaging Learners to B1 level

Area 6 - Facilitating Learners’ Digital Competence

  • Information and data literacy to B1 level
  • Safety and wellbeing to B1 level

For more information about the competences and the proficiency levels see the Selfie for Teachers Toolkit here.

Learning Objectives

  • Learn about different types of learning analytics methods and tools.
  • Learn the basics of collecting and interpreting learner data using learning analytics tools
  • Explore digital and pen-and-paper activities for developing data literacy.
  • Explore ways to implement active learning in class aiming at cultivating a more inclusive environment.
  • Become aware of privacy and safety measures when using digital educational technologies and collecting learner data.
  • Learn to design activities that help students reflect on their (digital) wellbeing.
  • Experience the different pedagogical verbs of a Future Classroom Lab and how they support active learning.
  • Work with other teachers from across Europe to develop new ideas for their own classroom and school.

Methodology

The workshop will use a variety of methods, including lectures, discussion in plenary and in small groups and practical sessions. The workshop will encourage participants to share their own experiences, challenges, and successes, and to collaborate with one another to develop strategies for developing learners’ data literacy, improving formative assessment and learning analytics practices in the classroom.

Target Audience

The course is targeted primarily to secondary school teachers and school leaders, but it can also be relevant for other levels and other stakeholders, such as teacher trainers. 

Language

All courses will be delivered in English and the participants must have at least solid basic skills in English language (listening, speaking) to be able to follow up the instruction and take part in the course activities.

Read more Practical information here.