e-IRG workshop 5.12., Tieteiden talo, Helsinki

http://e-irg.eu/workshop-2019-12-programme

Break-out sessions

Group 1: How to make data on education FAIR? (Room 104, 1st floor) 

Speaker facilitator: Robin Ghurbhurun; Notetaker: Anu Märkälä

Supporting questions:

  • How do we manage the growing amount of education data?

  • What kind of shared education services and data pools would benefit education, research and society at large?

  • What could be the next steps for data-informed decision making in higher education?

Insights from group discussion:

  • Need to define what we mean with educational data
  • Distinguishing between content and metadata and how these can be made FAIR
  • Need to agree on standards that create interoperability, identifiers and semantic artifacts - what are they for education?
  • Challenges on why content could not be made FAIR, e.g. straining teachers and stifling academic freedom.
  • Might need content structure and semantics for wider curriculum overview
  • Multilingualism, legality, ethics present challenges
  • Not all data is captured that could be used (e.g. feedback)
  • Analytics: personal vs institutional, to fit the audience
  • MyData concept and its application in education

 2019-12-05 e-IRG delegates meeting

Group 2: How could we further the use of ICT in education and learning? (Cabinet, 2nd floor)

Speaker facilitator: Sandra Kucina Softic; Notetaker: Lara Anastasiou 

Insights from group discussion:

  • What kind of opportunities digitalisation brings that could benefit education and learning?
    • Supporting different learners, bringing education geographically closer to the larners, promoting equity and accessbility
    • Infrastructures as enables (e.g. VR, simulations, advanced teaching environments)
    • Analytics of teaching and learning 
  • How to advance the openness of learning resources and materials? 
    • Education policies, regulations and principles
    • Motivating teachers, what could it be?
      • responsible evaluation, education for teachers, financial resourses, infrastructures, quality support 
    • Strategic decision of the organisations 
      • competitiveness
      • recognition of studies elsewhere
      • online study offerings
  • What could be the next steps for technological advancements e.g. AI in education?
    • Wellbeing of people coming back to the center, AI has a central role in the process of following wellbeing
    • Better use of data in AI and learning analytics
      • Data policy: Need of common rules for learning analytics? 
    • Libraries change into centres of knowledge
      • help also in data issues and using all the technology


Group 3: What could be the role of e-infrastructures in supporting lifelong learning (Room 404, 4th floor)

Speaker facilitator: Erik Fledderus; Notetaker: Jesse Oikarinen

Supporting questions: 

  • How do (NREN) service portfolios need to change to account for supporting learning and learners?
  • How to support cooperation between research and education to promote lifelong learning?
  • What would it mean to do learner-centered service development? 

Insights from group discussion:

  • Current situation: NRENs often provide ”bits and pieces” (not a coherent, packaged) services for institutions to support learners
  • provide hints and hooks for policy makers to improve the LLL related policies
  • NRENs need a coordinated voice / demand and collaborate with the learning institutions efforts to express their joint needs
  • eduGAIN as an example (originated from eduroam)
  • E.g. universities shouldn’t think about these services only by themselves but together with other universities for improved efficiency
  • remind that there are people outside universities and other higher education institutions. What about adult population outside of those?
  • join the efforts to prepare students to change their attitudes towards lifelong education as work life is changing and updating of skills is needed
  • improve the interaction with service end users regarding their service needs
  • support the communication between e.g. the NRENs and Uni staff as sometimes they speak different languages when discussing service needs and development => this requires often new staff at NRENs (“translators”)
  • Common reference architecture for Finnish higher education Institutes study and teaching support services and administration: https://wiki.eduuni.fi/x/RpG0Bg 



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