Designing Learning Analytics to Improve Lifelong? Learning

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Designing Learning Analytics to Improve Lifelong? Learning Thursday 26/05 16:00-17:30h Main Hall Abstract Learning Analytics (LA) has become a very heterogeneous research field due to the diversity in the data generated by the Learning Management Systems (LMS) as well as the researchers in a variety of disciplines, who analyze this

Speakers

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Atezaz Ahmad
Leibniz Institute for Research and Information in Education - DIPF, Germany
Jan Schneider
DIPF, Germany

Start

May 26, 2022 - 16:00

End

May 26, 2022 - 17:30

Designing Learning Analytics to Improve Lifelong? Learning

Thursday 26/05 16:00-17:30h
Main Hall
Abstract

Learning Analytics (LA) has become a very heterogeneous research field due to the diversity in the data generated by the Learning Management Systems (LMS) as well as the researchers in a variety of disciplines, who analyze this data from a range of perspectives. In this workshop, we will present a LA tool called Open Learning Analytics Indicator Repository (OpenLAIR). OpenLAIR helps course designers, teachers, students and educational researchers to make informed decisions about the selection of learning activities and LA indicators for their course design or LA dashboard. The aim of this workshop is to allow users to interact with OpenLAIR and allow them to design a LA dashboard for a lifelong learning portal. During the workshop, participants will help with the design and evaluation of the OpenLAIR visual indicators dashboard. We also aim to conduct a study on the effectiveness of OpenLAIR dashboards by presenting a mockup LA dashboard.


Needs Analysis

  • LA is a currently important topic for most researchers in the field of Technology enhance learning. During the workshop, they will learn how an LA can be designed, which is another important theme in the field and will get familiarized with the design and evaluation of LA Dashboards.
  • Willingness to step outside of the box and come up with LA approaches that are transparent and effective.


Learning Objectives
  • They will learn how a LA indicator is connected/linked to Learning Design (LD) learning activities and how a LA indicator is formed using LA metrics.
  • They will further learn which and how indicators can make a dashboard effective.
  • The final outcome will be a design and evaluation of the OpenLAIR indicators dashboard when designing a lifelong learning solution?


Pre-activities

  • There are no prerequisites, the participants should at least have a basic knowledge of LA, LD and dashboards.
  • Laptop and/or Tablet with internet connection


Session Description

  • Introduction to LA, LD and Dashboards (10 min)
  • Introduction to how we align LA with LD (10 min)
  • Introduction to OpenLAIR and its features (10 min)
  • Ask the participants to interact with the tool following our use cases (25 min)
  • Discussion and/or Evaluation of the tool dashboard, (20 min)
  • Wrap-up (15 min)


Post-activities

Publications 🙂