Designing for learning with data analytics

Designing for learning with data analytics


The workshop will allow participants to see how to design and document activities that incorporate ICT and new teaching-learning methodologies, share them within an online teaching community and reflect on how we can improve them with the help of data analytics. At the end of the workshop, the participants will be able to:

  1. To distinguish between 3 types of data analytics that go along with the teaching-learning processes.
  2. To know the importance of the support that they can be given to us in the decision-making process for the improvement of teaching practices.
  3. To use a learning design tool that facilitates the realization of this whole process within an online teaching community.

Activities to be done during the workshop

The workshop, which is mainly “practical”, has a duration of two hours and has two stages:

  1. Introduction about the use of data analytics in education and the three types of data that go along with the teaching-learning processes.
  2. Role-game activity where each group of participants represents an imaginary school and each participant represents a teacher (simulating educational communities). The activity has two parts:
    1. Individual activity (at teacher role level)
      1. Design of a short teaching unit that incorporates ICT and new educational methodologies with the ILDE/edCrumble learning design tool.
      2. Analyze the data resulting from the elaborated design.
      3. Sharing the design created within the ILDE/edCrumble online educational community.
    2. Group activity (at “imaginary” school level)
      1. Grouping several designs to generate community analytics.
      2. Solving an educational challenge by using the information from the generated analytics in the community.
      3. Joint reflection with all participants in the workshop.

Links to tools/resources/projects

  • Link to the tool which will be used during the workshop.
  • Selected workshop for the ITworldEdu “Innovating in Education” 2018 conference. (Spanish)
  • Related news (English)
  • Research project on which the workshop is based: CoT: Communities of teaching as a data‐informed design science and contextualized practice.
    • Project description: The research field of technologies for learning design deals with supporting teachers’ fundamental role of devising good arrangements for their students to learn. Sharing and collaboration around learning design practices between teachers, especially in the context of their educational centers, becomes a relevant mechanism for collectively improving teaching quality. The ultimate aim of the project is to empower teachers and educational centers as communities of teaching in which their members share the concern of being able to design the best possible learning activities for their students, learning from each other practices and considering the singularities of their context. To contribute towards this aim, the objective of the project focuses on providing teachers with a platform for data-informed learning design and studying the role that data analytics can play to support learning design processes in the context of educational communities. Data will include metrics of design activity within communities and metrics of engagement and achievement of learners when experiencing a learning design.

Main goal: Explore how to design and document learning activities, share them within an online teaching community and reflect on how we can improve them with the help of 3 types of data analytics.

Audience: Teachers in all educational levels, educational designers.

Question/s related to the workshop:

  • Which data obtained from the teaching-learning processes can help me to improve my educational practices? How?
  • How can I design and improve learning activities with the use of these data?
  • How can I do it within an online community of teachers?
  • Do you want to know a learning design tool that facilitates this process?

Competences/Learning Objectives:

  • Digital Competence: Interpret analytical data on learning activities for their improvement.
  • Teaching Planning and Management Competence: Design, guide and develop content, training and evaluation activities, and other resources related to teaching and learning, so that the results are valued and related improvement proposals are elaborated.
  • Innovation Competence: Create and apply new knowledge, perspectives, methodologies and resources in the different dimensions of teaching activity, aimed at improving the quality of the teaching-learning process.