CfP: Learning Analytics – Implications for Higher Education

Ich bringe den u.g. CfP auf diesem Blog, da in meinem Verständnis “learning analytics” ein wirkungsvoller Ansatz ist, um den Mikrokosmos von Literacy Management zu beleuchten und zwar auf zwei Ebenen: a) auf der Ebene der Lernenden im Rahmen einer Lernendengemeinschaft als individuelles Literacy Management und b) auf der Ebene einer ganzen Praxisgemeinschaft bzw. Bildungsinstitution als institutionelles Literacy Management.

ZFHE (Zeitschrift für Hochschulentwicklung vol. 12/1) is calling for
contributions for an English-language special issue on “Learning Analytics:
Implications for Higher Education”.

Guest editors are Wolfgang Greller, Ulrich Hoppe & Hendrik Drachsler.
Planned date for publication is February 2017. The following topics are open
for contributions:

(1) Focus on the learner:
* How can learning processes be adapted based on the analysis of
learning-related data?
* Which possible (positive) effects on learner performance can we expect
from using learning analytics and/or educational data mining approaches?
* What are suitable indicators for predicting learning success/failure?
* Which principles and approaches can or should guide the usage, processing
and presentation of analytics results based on person-related data?

(2) Focus on courses and learning design:
* What can learning analytics reveal regarding the use of learning
resources, interactions and participation of learners?
* How to assess if the activities of students are in line with expectations
derived from pedagogical design principles?
* Does learning analytics offer interesting new information to enhance
course evaluation?
* Are teachers ready for exploiting learner data in order to optimise

(3) Focus on the institution:
* What are conditions and/or indicators for learning analytics “readiness”
of HE institutions?
* Can learning analytics help take decisions on when to plan courses and how
to structure programs?
* What are the conditions for sharing learner data within different parts of
a university?
* What measures are necessary at institutional management level to maximise
benefit of learning analytics and what are the potential benefits?
*  In what ways can predictive analytics influence future student cohorts?

Extendend Deadline for submissions: 30 June 2016
The complete call is available from the ZFHE website:

Beste Grüße aus der ZFHE-Redaktion
Michael Raunig
ZFHE – Zeitschrift für Hochschulentwicklung

About literacymanagement

Members of the ILM consortium will share news about their local ILM program and ongoing collaborative projects. Participants of the ILM certificate program are encuraged to collaborate with any partner or project.
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