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GRASS – Open Badges for Grading Soft Skills

The GRASS project, funded by the European Commission, aims to represent and validate learners' soft skills in a quantitative way through the use of state-of-the-art ICT tools. This project is supported by the Lifelong Learning Programme of the EU.

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GRASS – Open Badges for Grading Soft Skills

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  1. Funded with support from the European Commission, within project Grading soft skills: GRASS, No. 543029-LLP-1-RS-KA3-KA3MP GRASS – Open Badges for Grading Soft Skills Dr Niall Seery Dr Donal Canty This communication reflects the views only of authors, and the commission cannot be held responsible for any use, which may be made of the information contained therein.

  2. EU LLP Project • Grading Soft Skills (GRASS) is a 3-year research project financially supported by EU focusing on representing soft skills of learners of various ages and at different levels of education in a quantitative, measurable way, so that these skills can become the subject of formal validation and recognition. • The project is being developed with the support of the Lifelong Learning Programme (LLP) of the EU, the flagship European funding programme in the field of education and training.

  3. Aim The overall aim of this project is to create mechanisms that enable to continuously support, monitor, assess, and acknowledge development of learners' soft skills with the help of state-of-the-art ICT tools. https://sites.google.com/site/llpgrassproject/

  4. Objectives • Novel pedagogical approaches • Incorporate pedagogy in daily practices • Multiple levels of education • Rich, structured set of soft skills metrics • New model and ICT framework • Mechanisms for acknowledging, grading and awarding learners' soft skills • Incentive policies for teachers

  5. Partners • Serbia: • University of Belgrade (UB) • First Grammar School of Kragujevac (FGSK) • Sweden: • KTH Royal Institute of Technology(KTH) • VäsbyNew Gymnasium (VNG) • Croatia: • University of Zagreb (UniZg) • Landsurveying school (LS) • Ireland: • University of Limerick (UL), Ireland • Coláiste Chiaráin (CC)

  6. Application Cases

  7. Challenges • Badge Currency • Teacher Pedagogy • Capture of Evidence • Assessment validity • Subjectivity of assessment • Discrimination of Quality

  8. Currency

  9. Pedagogy • Intent • If you are measuring Soft Skill – You have to teach them • Context and Situation • Age appropriate development supporting hard skill acquisition • Untangle • Exclusivity of Soft Skill evidence • Assessment • Recognition and identification of Quality

  10. Assessment

  11. Application Case Proactive Collaborative Knowledgeable Responsible Articulate Creative UL Graduate Attributes

  12. ASSIST • Multi-disciplinary awards initiative open to students in the Technology Teacher Education programmes in the University of Limerick • It is managed by the Technology Education Research Group (TERG) in partnership with the GRASS consortium • Structured around the UL graduate attributes the project focuses on developing pedagogical approaches and ICT tools and services for representing soft skills in a quantitative, measurable way, so that they can become the subject of formal validation and recognition.

  13. Graduate Attributes

  14. Badge Constellation ASSIST Award Graduate Attributes Soft Skills

  15. Capturing Multi-Modal Evidence

  16. Contribution to an Individual Problem Contribution Solution

  17. Contribution to Community Contribution of Resources to Entire Online Community

  18. Capturing Multi-Modal Evidence

  19. ASSIST Award • Programmes support development of Soft skills • Students target badges • Generate evidence • Submit for assessment • Feedback/Award • Actualise badges for recognition of skills

  20. Assessment • Suitability of traditional grading (A,B,C,D,E, F, NG) • Measure of the efficacy of your actions • Educational transaction • Self • Peer • Objective • Developmental association • Holistic Weighted Judgement

  21. Assessment Validity • Construct • Content • Criteria Threats to Validity • Construct irrelevant variance • Construct under-representation

  22. Future Work Develop badging infrastructure that will incorporate: • Generic Soft Skill Awards • Context Soft Skill Awards • Developmental Recognition Awards

  23. Questions Thank you Contact details: Donal.canty@ul.ie Niall.seery@ul.ie

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