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Ways of monitoring innovation in
schools as learning ecosystems
Kai Pata
Estonian Learning Analytics chapter
meeting, Tallinn University, 12.08.2015
Two ecosystemic perspectives to
consider
• Trialogical learning scenarios’ (Paavola &
Hakkarainen, 2009; Paavola, 2015) application
at schools – monitoring digital resource usage
(levels on knowledge creation) in learning
scenarios with cloud-based eKoolikott
• Schools’ development in wider socio-technical
regime (Geels, 2002; Geels & Schot, 2007)
context – linked data approach to monitoring
longitudinal innovation trends at schools
Schools as learning ecosystems
Monitoring schools as learning ecosystems
Adopted from Marmins, 2013
Exhchange of
novel learning
scenarios
Bottom-up
involvement
and innovation
:
Teachers,
students,
communities
Social
technologies,
BYOD,
modular cloud-
based
etextbook
provision,
new legal acts
Monitoring learning scenarios at
schools
Paavola, 2015
Paavola & Hakkarainen, 2009
Knowledge must
be passed over
different “tools” in
the Activity
Systems to mature
and be usable
Innovation at
schools can be
monitored based
on how teachers
use digital
ecosystem
components in
learning scenarios
Example: Trialogical flipped classroom
Individual
knowledge
acquisition
Learning as
participation;
Learning as
knowledge creation
Individual knowledge
acquisition Learning as
knowledge creation
A lesson scenario “Edit Alice” by Kristi Kartashev
Organizing activities
around shared
“objects”
Supporting integration of personal
and collective agency and work Fostering long-term
processes of knowledge
advancementEmphasizing development and
creativity through knowledge
transformations and reflection
Promoting cross-
fertilization of
knowledge practices
across communities and
institutions
Opportunities of eKoolikott
Accreditation of
teachers digital
competences based
on actual usage of
trialogical learning
principles
Applying trialogical
principles e.g.
Promoting cross-
fertilization of
knowledge
practices across
communities and
institutions
also at teachers’
learning
Schools in the
transition to new
socio-technical
regime
School-ID based linked data
with regional data and teacher
in-service training data
A) novel dedicated
longitudinal survey
B) different ICT surveys
*Challenge is to compare
same topic items, having
a system to share openly
data (from student
studies, other studies)
Leinonen, 2005
Geels & Schot, 2007
Which of those has made way to actual teaching and why?
Why some schools
become innovative?
References
• Marmins, J. (2013) What is a social business ecosystem? Blog post URL:
http://c7group.com/2013/03/what-is-a-social-business-ecosystem/
• Paavola, S. and Hakkarainen, K. (2009). From meaning making to joint construction
of knowledge practices and artefacts: A trialogical approach to CSCL. In C. O'Malley,
D. Suthers, P. Reimann, and A. Dimitracopoulou (Eds.), Computer Supported
Collaborative Learning Practices: CSCL2009 Conference Proceedings (pp. 83-92).
Rhodes, Creek: International Society of the Learning Sciences (ISLS).
• Paavola, S. (2015). Challenges of collaborative knowledge creation – work with
shared objects. In A. Littlejohn, and C. Pegler (Eds) Reusing Open Resources. Learnin
in Open Networks for Work, Life and Education (pp. 104-114). London: Routledge,
Taylor & Francis Group.
• Geels, F. W., (2002). Technological transitions as evolutionary reconfiguration
processes: a multi-level perspective and a case study. Research Policy 31 257-1273
• Geels, F.W, Schot, , J., (2007). Typology of socio-technical transition pathways.
Research Policy 36 399–417
• Leinonen, T. (2005) (Critical) history of ICT in education – and where we are heading?
Blog post URL http://teemuleinonen.fi/2005/06/23/critical-history-of-ict-in-
education-and-where-we-are-heading/
• Linked data platform 1.0 URL: http://www.w3.org/TR/2015/NOTE-ldp-primer-
20150423/

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Learninganalytic 2015

  • 1. Ways of monitoring innovation in schools as learning ecosystems Kai Pata Estonian Learning Analytics chapter meeting, Tallinn University, 12.08.2015
  • 2. Two ecosystemic perspectives to consider • Trialogical learning scenarios’ (Paavola & Hakkarainen, 2009; Paavola, 2015) application at schools – monitoring digital resource usage (levels on knowledge creation) in learning scenarios with cloud-based eKoolikott • Schools’ development in wider socio-technical regime (Geels, 2002; Geels & Schot, 2007) context – linked data approach to monitoring longitudinal innovation trends at schools
  • 3. Schools as learning ecosystems Monitoring schools as learning ecosystems Adopted from Marmins, 2013 Exhchange of novel learning scenarios Bottom-up involvement and innovation : Teachers, students, communities Social technologies, BYOD, modular cloud- based etextbook provision, new legal acts
  • 4. Monitoring learning scenarios at schools Paavola, 2015 Paavola & Hakkarainen, 2009 Knowledge must be passed over different “tools” in the Activity Systems to mature and be usable Innovation at schools can be monitored based on how teachers use digital ecosystem components in learning scenarios
  • 5. Example: Trialogical flipped classroom Individual knowledge acquisition Learning as participation; Learning as knowledge creation Individual knowledge acquisition Learning as knowledge creation A lesson scenario “Edit Alice” by Kristi Kartashev Organizing activities around shared “objects” Supporting integration of personal and collective agency and work Fostering long-term processes of knowledge advancementEmphasizing development and creativity through knowledge transformations and reflection Promoting cross- fertilization of knowledge practices across communities and institutions
  • 6. Opportunities of eKoolikott Accreditation of teachers digital competences based on actual usage of trialogical learning principles Applying trialogical principles e.g. Promoting cross- fertilization of knowledge practices across communities and institutions also at teachers’ learning
  • 7. Schools in the transition to new socio-technical regime School-ID based linked data with regional data and teacher in-service training data A) novel dedicated longitudinal survey B) different ICT surveys *Challenge is to compare same topic items, having a system to share openly data (from student studies, other studies) Leinonen, 2005 Geels & Schot, 2007 Which of those has made way to actual teaching and why? Why some schools become innovative?
  • 8. References • Marmins, J. (2013) What is a social business ecosystem? Blog post URL: http://c7group.com/2013/03/what-is-a-social-business-ecosystem/ • Paavola, S. and Hakkarainen, K. (2009). From meaning making to joint construction of knowledge practices and artefacts: A trialogical approach to CSCL. In C. O'Malley, D. Suthers, P. Reimann, and A. Dimitracopoulou (Eds.), Computer Supported Collaborative Learning Practices: CSCL2009 Conference Proceedings (pp. 83-92). Rhodes, Creek: International Society of the Learning Sciences (ISLS). • Paavola, S. (2015). Challenges of collaborative knowledge creation – work with shared objects. In A. Littlejohn, and C. Pegler (Eds) Reusing Open Resources. Learnin in Open Networks for Work, Life and Education (pp. 104-114). London: Routledge, Taylor & Francis Group. • Geels, F. W., (2002). Technological transitions as evolutionary reconfiguration processes: a multi-level perspective and a case study. Research Policy 31 257-1273 • Geels, F.W, Schot, , J., (2007). Typology of socio-technical transition pathways. Research Policy 36 399–417 • Leinonen, T. (2005) (Critical) history of ICT in education – and where we are heading? Blog post URL http://teemuleinonen.fi/2005/06/23/critical-history-of-ict-in- education-and-where-we-are-heading/ • Linked data platform 1.0 URL: http://www.w3.org/TR/2015/NOTE-ldp-primer- 20150423/