OER Recommendation System to Support Goal-Driven Learning

The eDoer platform was presented on the Online Educa 2021 Conference in Berlin. Friday, Dec 3, 2021, Time 12:00  – 13:15

Room Tiergarten, Session: All In on OER

eDoer platform: http://edoer.eu/ 

Abstract:

Although OERs are extremely useful in offering high-quality learning environments, challenges such as lack of automatic and intelligent quality control processes and property (e.g. title, description, subject) extraction, which are required in building educational services, limit the use of OERs.

This presentation will present intelligent solutions to increase the usability of OERs by automatically:
1. assessing the quality of the published OERs
2. extracting properties (e.g. target subjects, language, format-type, and level) from them

Moreover, based on these solutions, goal-driven individualised education can be offered to help students achieve set learning outcomes by recommending personalised OERs

Join us to hear more about the system that we built in which learners
1. set their learning goals as target jobs or skills
2. receive a customised learning path based on the subject analysis on the existing related OERs and their current skill set
3. find personalised high-quality OER based on the created learning path

Outcomes:

- What are the key challenges that limit the use of OERs

- How can we use manual quality controlled OERs to extract some best practices for generating and validating the future OERs

- What are the key properties and metadata of OERs that we need to store to provide OER based services and accordingly how we can integrate different OER repositories

- How to offer personalised learning services based on OERs