Post on 06-May-2015
description
Learning Analyticsam Beispiel des Mathetrainers
Martin Ebner
http://wp.nmc.org/horizon2011/
Horizon Report (2007 - 2012)
Educational Data Mining
Educationa data mining (EDM) is a field that exploits statistical, machine-learning,
and data-mining (DM) algorithms over the different types of educational data. Its main objective is to analyze these types of data in order to resolve educational
research issues.
Romero, C. (2010) Educational Data Mining: A Review of the State of the Art - in: Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 40, p. 601 - 618
... there are 11 fields
• Analysis and Visualization of Data, • Providing Feedback for Supporting Instructors• Recommendations for Students• Predicting Student’s Performance• Student Modeling• Detecting Undesirable Student Behaviors• Grouping Students• Social Network Analysis• Developing Concept Maps• Constructing Courseware• Planning and Scheduling
Romero, C. (2010) Educational Data Mining: A Review of the State of the Art - in: Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on, 40, p. 601 - 618
Learning Analytics
Learning Analytics is the use of intelligent data, learner-produced data, and analysis models to discover information and social connections, and to predict and advise on
learning.
George Siemens (2010) http://www.elearnspace.org/blog/2010/08/25/what-are-learning-analytics
Learning Analytics
Learning Analytics is about collecting traces that learners leave behind and
using those traces to improve learning.
Erik Duval (2012) http://www.slideshare.net/erik.duval/learning-analytics-13050389
It‘s all about
http://www.flickr.com/photos/neeravbhatt/6995946039
Potenzial ist heute noch schwer abschätzbar, da mit zunehmender
Datenmenge gänzlich neue Sichtweisen gewonnen werden können.
Martin Ebner & Martin Schön (2012)
ABER ...
Peter Purgathofer (2010), Gesellschaftliche Aspekte der Informationstechnologie
Peter Purgathofer (2010), Gesellschaftliche Aspekte der Informationstechnologie
Informationhttp://www.flickr.com/photos/auuep/3357824170
Interpretation
Beispiel
... ein scheinbar simples Problem ...
Beispiel
... das kleine EinmalEins für Volksschulkinder ...
http://mathe.tugraz.at
Lernfortschrittsanzeige
Funktionsweise des Algorithmus
!
http://einmaleins.tugraz.at
Analyse
!
• Beobachtungs zeitraum: 1,5 Monate• n = 230• > 750 Sessions• > 28.000 generierte Beispiele• > 6 Minuten / Session im Schnitt
http://einmaleins.tugraz.at
Analyse - Alle BenutzerInnen
!
http://einmaleins.tugraz.at
!
Analyse - Alle BenutzerInnen
http://einmaleins.tugraz.at
http://mathe.tugraz.at
Detailanalyse
! !
... Lernfortschritt
... Lernrate
http://einmaleins.tugraz.at http://einmaleins.tugraz.at
http://einmaleins.tugraz.at http://einmaleins.tugraz.athttp://einmaleins.tugraz.at
http://mathe.tugraz.at
Learning Analytics ist die Interpretation von lernerspezifischen Daten um den individuellen Lernprozess gezielt zu
verbessern.
Martin Ebner & Martin Schön (2012)
1x1 Trainer in Zahlen (9 Monate)
> 1000 Kinder
> 60.000 Rechnungen
> 60 Rechnungen / Kind
http://mathe.tugraz.at
Freie Bildungs-materialien
http://www.flickr.com/photos/ell-r-brown/3912248265http://www.bims.com
Graz University of Technology
SOCIAL LEARNINGComputer and Information Services
Graz University of Technology
Martin Ebner
http://elearning.tugraz.atmartin.ebner@tugraz.at
Slides available at: http://elearningblog.tugraz.at
mebner