Learn to Analyze Educational Data and Improve your Blended and Online Teaching

Hello and welcome to the new version of the Learn to Analyze Educational Data and Improve your Blended and Online Teaching Massive Open Online Course (MOOC).

In the wake of the Covid-19 global pandemic, emergency remote teaching has become the new reality for school education around the world. As a result, educational data, that is the rich data footprint that students generate through their interactions in digital learning environments, has increased exponentially. This unprecedented crisis has brought to the forefront the urgent demand for Educational Data Analytics (EDA) as a key enabler to seize the opportunity, through the use of educational data generated during teaching and learning (including assessment), to better support individual learners in technology-supported remote teaching. Furthermore, online learning environments and education data-driven practice and assessment raise challenges such as ethical issues and implications, especially in terms of privacy, security of data and informed consent that should be addressed via transparent and well-defined ethical policies and codes of practices.

This MOOC aims to support the development of both core and advanced competences for Educational Data Analytics of Online and Blended teaching and learning.

The new version incorporates:

  • gamification elements to offer enhanced engagement in several authentic learning activities;
  • self-assessed assignments based on real-life scenarios to offer deeper understanding of the educational data field; and
  • an upgraded assessment mechanism leading to two levels of Certification of Achievement on Educational Data Literacy (EDL).  Level A requires the learner to have acquired a basic set of competences for EDL and Level B requires demonstration of a higher expertise assessed through hands-on assignments based on simulated practice scenarios.

It targets:

  • e-learning professionals (such as instructional designers and e-tutors) of online and blended courses;
  • school leaders and teachers engaged in blended (using the flipped classroom model) and online (during the  COVID19 crisis and beyond) teaching and learning;
  • higher education students (undergraduates & postgraduates).

It combines:

  • theoretical knowledge on core issues related to collecting, analysing, interpreting and using educational data, including ethics and privacy, with
  • practical experience of applying educational data analytics in three different e-learning platforms, namely, Moodle, the eXact Suite and the IMC Learning Suite.

The MOOC has been developed by an international Academia-Industry consortium within the action Learn2Analyze — An Academia-Industry Knowledge Alliance for enhancing Online Training Professionals’ (Instructional Designers and e-Trainers) Competences in Educational Data Analytics which is co-funded by the European Commission through the Erasmus+ Program of the European Union (Cooperation for innovation and the exchange of good practices – Knowledge Alliances, Agreement n. 2017-2733 / 001-001, Project No 588067-EPP-1-2017-1-EL-EPPKA2-KA). The European Commission’s support for the production of this publication does not constitute an endorsement of the contents, which reflects the views only of the authors, and the Commission will not be held responsible for any use which may be made of the information contained therein.

Type of providerEuropean project
Languageen
EQF levelNo applicable
Home pagehttp://learn2analyse.eu/proj/l2a-mooc/
Start date2021-03-01
End date2022-07-31
Duration2.25
Schedule informationModule 1 – Orientation This module offers the opportunity to become familiar with the MOOC platform, the course structure and the course policies. Module 2 – Educational Data This module will introduce the concept of educational data as a key success factor for online and blended teaching and learning, present the Learn2Analyze framework for educational data literacy competences and discuss the fundamentals of educational data collection and management, including issues related with ethics and privacy. Module 3 – Learning Analytics This module will introduce the basics of methods and tools for analysing and interpreting online learners' data to facilitate their personalised support. It will focus on organising, analysing, presenting and interpreting learner-generated data within their learning context, as well as on ethical concerns and policies for protecting learner-generated data from mistreatment and misuse. Module 4 – Teaching Analytics This module will introduce the basics of methods and tools for analysing and interpreting educational data for facilitating educational decision making, including course and curricula design. Module 5 – Educational Data Analytics with Moodle This module will present tools for educational data analytics in Moodle and focus on the use of these tools to support school teachers in the design and delivery of their online and blended learning courses. Module 6 – Educational Data Analytics with eXact Suite This module will present tools for educational data analytics in the eXact Suite and focus on the use of these tools to help instructional designers and e-tutors of online courses in supporting online learners. Module 7 – Educational Data Analytics with IMC Learning Suite This module will present tools for educational data analytics in the IMC Learning Suite. The focus is on how the tools can support instructional designers of online courses in reflecting on their educational design and re-design the courses. The module also shows how the tools can help e-tutors to support online learners. Module 8 – Concluding the MOOC / Final Assessment This concluding module together with the Final Assessment will allow participants to finalise their assignments, discuss their overall MOOC learning experience with their peers, and reflect on their learning experience by submitting the course feedback survey.
Workload in hours100
Admission procedureOpen to all
Entry requirements notenone
Type of credentialCertificate of participation
Learning outcometeach teaching principles
Instruct students in the theory and practice of teaching, more specifically in the different teaching methods, classroom management, and learning processes.
Related skillhttp://data.europa.eu/esco/skill/112bf219-beb2-4028-bd28-d8ed643fa32f
Learning outcomeUsing digital tools for collaboration, content creation and problem solving
Using ICT software and hardware to collaborate and communicate with others, creating and editing new content (from word processing to images and video) and solving conceptual, technical and practical problems.
Related skillhttp://data.europa.eu/esco/skill/S5.6
Learning outcomeapply blended learning
Be familiar with blended learning tools by combining traditional face-to-face and online learning, using digital tools, online technologies, and e-learning methods.
Related skillhttp://data.europa.eu/esco/skill/b363bb5f-2c79-40af-94da-33e06f9dee9f
Contact formsampson@unipi.gr