Schlagwort: learning analytics

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[publication] De-Identification in Learning Analytics #LA #research

Our publication about „De-Identification in Learning Analytics“ got published in the Journal of Learning Analytics.
Abstract:

Learning Analytics has reserved its position as an important field in the educational sector. However, the large-scale collection, processing and analyzing of data have steered the wheel beyond the border lines and faced an abundance of ethical breaches and constraints. Revealing learners’ personal information and attitudes, as well as their activities, are major aspects that lead to personally identify individuals. Yet, de-identification can keep the process of Learning Analytics in progress while reducing the risk of inadvertent disclosure of learners’ identities. In this paper, the authors talk about de-identification methods in the context of learning environment and propose a first prototype conceptual approach that describes the combination of anonymization strategies and Learning Analytics techniques.

[Full Paper @ ResearchGate]

[Full Paper @ Journal’s Homepage]

Reference: Khalil, M. & Ebner, M. (2016) De-Identification in Learning Analytics. Journal of Learning Analytics. 3(1). pp. 129 – 138

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[presentation] Learning Analytics in MOOCs: Can Data Improve Students Retention and Learning? #edmediaconf #tugraz

Our presentation at this year ED-Media Conference in Vancouver about „Learning Analytics in MOOCs: Can Data Improve Students Retention and Learning? “ is now online available. Here are the slides:

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[presentation] Engaging Learning Analytics in MOOCs: the good, the bad, and the ugly #tugraz #research

Mohammad is presenting our research work about „Engaging Learning Analytics in MOOCs: the good, the bad, and the ugly“ at this year END conference in Lubijana. Here are his presentation:

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[publication] Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming #lak16

Our contribution to this year Learning Analytics Conference was about „Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming„.
Abstract:

One-digit multiplication errors are one of the most extensively analysed mathematical problems. Research work primarily emphasises the use of statistics whereas learning analytics can go one step further and use machine learning techniques to model simple learning misconceptions. Probabilistic programming techniques ease the development of probabilistic graphical models (bayesian networks) and their use for prediction of student behaviour that can ultimately influence learning decision processes.

[Full paper @ ResearchGate]

[Full paper @ ACM Library]

Reference: Taraghi, B., Saranti, A., Legenstein, R. & Ebner, M. (2016) Bayesian modelling of student misconceptions in the one-digit multiplication with probabilistic programming. Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, Edingburg, United Kingdom, 25/04/16 – 29/04/16, pp. 449-453., 10.1145/2883851.2883895

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[publication] Portraying MOOCs Learners: a Clustering Experience Using Learning Analytics #emoocs2016 #mooc

Our paper on „Portraying MOOCs Learners: a Clustering Experience Using Learning Analytics“ at this year EMOOCs conference is now online available.
Abstract:

Massive Open Online Courses are remote courses that excel in their students‘ heterogeneity and quantity. Due to the peculiarity of being massiveness, the large datasets generated by MOOCs platforms require advance tools to reveal hidden patterns for enhancing learning and educational environments. This paper offers an interesting study on using one of these tools, clustering, to portray learners‘ engagement in MOOCs. The research study analyse a university mandatory MOOC, and also opened to the public, in order to classify students into appropriate profiles based on their engagement. We compared the clustering results across MOOC variables and finally, we evaluated our results with an eighties students‘ motivation scheme to examine the contrast between classical classes and MOOCs classes. Our research pointed out that MOOC participants are strongly following the Cryer’s scheme of Elton (1996).

[Full paper @ ResearchGate]

[Conference Proceeding @ ResearchGate]

Reference: Khalil, M., Kastl, C., Ebner, M. (2016) Portraying MOOCs Learners: a Clustering Experience Using Learning Analytics. In: Proceedings of the European Stakeholder Summit on experiences and best practices in and around MOOCs. Khalil, M., Ebner, M., Kopp, M., Lorenz, A., Kalz. M. (Eds.). BookOnDemand, Norderstedt. pp. 265 – 278

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[presentation] What is Learning Analytics about? #LearningAnalytics #IA9 #research

Today, Mohammad Khalil is presenting our publication about „What is Learning Analytics about?“ at Smart Learning Excellence Conference in Dubai. Here are his presentation slides:

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[vodcast] When Learning Analytics Meets MOOCs #MOOC #imoox #eduhubdays16

The recording of my keynote at this year eduhubdays about „When Learning Analytics Meets MOOCs“ is now online available. The slides have been published right here.

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[publication] Design für eine Plattform zum Schreibenlernen im Grundschulalter #LearningAnalytics

IDeR BlogIm Rahmen der heurigen DeLFI-Tagung hab ich kurz unser kürzliches begonnenes EU-Projekt, den IDeR-Blog, vorstellen können. Hier gibt es nun noch auch die zugehörige Publikation.
Zusammenfassung:

Viele Jugendliche haben mit Lese- und Schreib- oder Rechtschreibproblemen zu kämpfen. Werden diese nicht erkannt und gefördert, wirkt sich das im Erwachsenenalter negativ aus [SMH08]. In diesem Beitrag beschreiben wir ein Informationssystem für den deutschsprachigen Raum, das sich derzeit im Aufbau befindet und mit Hilfe von Learning Analytics versucht personalisiertes Lernen zu fördern. Die Zielgruppe des Forschungsprojekts sind Kinder im Alter zwischen 8 und 12 Jahren. Schülerinnen und Schüler können Texte in Form von Blogeinträgen verfassen, welche automatisiert auf orthografische Fehler ausgewertet werden. Die qualitative Analyse wird mit Hilfe eines eigens dafür entwickelten Wörterbuches umgesetzt und den Lehrkräften zur Verfügung gestellt.

[Link zum Beitrag]

Zitation: Ebner, M., Taraghi, B., Ebner, M., Aspalter, C., Biermeier, S., Edtstadler, K., Gabriel, S., Goor, G., Gros, M., Huppertz, A., Martich, S., Steinhauer, N., Ullmann, M., Ziegler, K. (2015) Design für eine Plattform zum Schreibenlernen im Grundschulalter. In: Proceedings of DeLFI Workshops 2015 co-located with 13th e-Learning Conference of the German Computer Society (DeLFI 2015)München, Germany, September 1, 2015, S. 118-122.

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[presentation] When Learning Analytics Meets MOOCs #tugraz #imoox #emoocs2016

My today’s keynote at the eduhub days 2016 (program) is about Learning Analytics with a special focus to MOOCs. Especially I am talking about our experiences we gathered in the last month and give an overview about our research studies. Enjoy the slides:

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[EMOOCs] Learning Analytics & Completion Rate #imoox #emoocs2016

EMOOCs 2016We are getting closer and closer to the conference date – EMOOCS 2016 will happen from 22th – 24th of February. Don’t forget to register for the conference.
In our preconference MOOC another two videos will be presented this week. This time there will be one about Learning Analytics and MOOC and another one about completion rate. So two hot topics, don’t miss them.

[Register for the preconference MOOC]

[Register for the conference]