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learning analytics

Special Issue: Learning analytics in primary, secondary and higher education #LearningAnalytics

Our special issue on „Learning analytics in primary, secondary and higher education“ got published in the Journal of Research in Innovative Teaching & Learning. And the good news are, that all chapter are available via Open Access. Therfore enjoy reading 🙂

Table of Contents:

  • Small data as a conversation starter for learning analytics: Exam results dashboard for first-year students in higher education
  • Evaluating emotion visualizations using AffectVis, an affect-aware dashboard for students
  • Entrepreneurship students distilled their learning experience through reflective learning log
  • Learning analytics to improve writing skills for young children – an holistic approach
  • On predicting academic performance with process mining in learning analytics

[Articles @ Journal’s Website]

[publication] 1×1 Trainer with Handwriting Recognition

Our publication about „1×1 Trainer with Handwriting Recognition“ got published in the International Journal of Interactive Mobile Technologies (iJIM). We described our successful app, which has been firstly announced already here.

Abstract:

Nowadays, computers and mobile devices play a huge role in our daily routines; they are used at work, for private purposes and even at school. Moreover, they are used as support for different kinds of activities and task, like for example, learning applications. The interaction of these applications with a computer is based on predefined input methods, whereas a touchscreen facilitates direct input via handwriting by using a finger or a pen. This paper deals with the invention of a mobile learning application, which is supposed to facilitate children’s learning of simple multiplication. The aim of this paper is to collect the data of children’ experiences using interactive handwriting on mobile devices. In order to gain this data, a school class of the school “Graz-Hirten” was tested and afterwards for evaluational purposes interviewed. The results of these usability tests have shown that children perceived handwriting via finger on screen as quite positive.

[Full text @ ResearchGate]

[Full text @ iJIM]

Reference: Rabko, M., Ebner, M. (2018) 1×1 Trainer with Handwriting Recognition. International Journal of Mobile Technologies (iJIM). 12/2. pp. 69-79. https://doi.org/10.3991/ijim.v12i2.7714

[publication] Lessons Learned when transferring Learning Analytics Interventions across Institutions #lak18 #research

Our publication at this year LAK18-conference about „Lessons Learned when transferring Learning Analytics Interventions across Institutions“ is now online available.

Abstract:

Learning Analytics is a promising research field, which is advancing quickly. Therefore, it finally impacts research, practice, policy, and decision making in the field of education. Nonetheless, there are still influencing obstacles when establishing Learning Analytics initiatives on higher education level. Besides the much discussed ethical and moral concerns, there is also the matter of data privacy. In 2015, the European collaboration project STELA started with the main goal to enhance the Successful Transition from secondary to higher Education by means of Learning Analytics. Together, the partner universities develop, test, and assess Learning Analytics approaches that focus on providing feedback to students. Some promising approaches are then shared between the partner universities. Therefore, the transferability of the Learning Analytics initiatives is of great significance. During the duration of our project, we found a variety of difficulties, we had to overcome to transfer one of those Learning Analytics initiatives, the Learning Tracker from one partner to the other. Despite, some of the difficulties can be categorized as small, all of them needed our attention and were time consuming. In this paper, we present the lessons learned while solving these obstacles.

[Full paper @ LAK 2018]

Reference: Leitner, P., Broos, T. & Ebner, M. (2018) Lessons Learned when transferring Learning Analytics Interventions across Institutions. In: Companion Proceedings 8th International Conference on Learning Analytcis & Knowledge. Sydney. pp. 621-629

[publication] Involving Stakeholders in Learning Analytics: Opportunity or Threat for Learning Analytics at Scale?

Our workshop publication at this year LAK18-conference about „Involving Stakeholders in Learning Analytics: Opportunity or Threat for Learning Analytics at Scale?“ is now online available.

Abstract:

This article introduces the goal and activities of the LAK 2018 half-day workshop on the involvement of stakeholders for achieving learning analytics at scale. The goal of the half-day workshop is to gather different stakeholders to discuss at-scale learning analytics interventions. In particular the workshop focuses on learning analytics applications and learning dashboards that go beyond the implementation in a single course or context, but that have at least the potential for scaling across different courses, programs, and institutes. The main theme of the workshop is to explore how the involvement of different stakeholders can strengthen or hinder learning analytics at scale. The key findings, recommendations, and conclusions of the workshop will be presented in a summarizing report, which will be shaped as a SWOT analysis for stakeholder involvement for achieving learning analytics at scale.

[Full paper @ LAK 2018]

Reference: De Laet, T., Broos, T., Verbert, K., van Staalduinen, J.-P., Ebner, M. & Leitner, P. (2018) Involving Stakeholders in Learning Analytics: Opportunity or Threat for Learning Analytics at Scale? Workshop. In: Companion Proceedings 8th International Conference on Learning Analytcis & Knowledge. Sydney. pp. 602-606

[publication] Learning Analytics an Schulen – Hintergrund und Beispiele #LearningAnalytics

Unser Artikel zu „Learning Analytics an Schulen – Hintergrund und Beispiele“ im Rahmen der medienimpulse 1/2018 Ausgabe ist nun online zugänglich.

Zusammenfassung:

Der Einsatz von digitalen Technologien im Alltag der Jugend ist selbstverständlich geworden. Die Schülerinnen und Schüler haben die Möglichkeit mit Hilfe von Geräten wie Computern, Tablets und Smartphones Zugang zu Informationen, Kursmaterialien und Übungen zu erhalten. Die dadurch gewonnenen Daten haben das Potential die Art und Weise wie wir Lehren und Lernen tiefgreifend zu verändern. In diesem Beitrag sollen die Möglichkeiten und die Entwicklung von Learning Analytics im Bildungswesen näher betrachtet und die Rolle der Lehrenden und Lernenden beleuchtet werden. Es wird ein Ausschnitt von am Markt befindlichen Werkzeugen geboten und anhand von ausgewählten Beispielen und Fallstudien der Mehrwert des Einsatzes aufgezeigt und diskutiert. Abschließend werden Datenschutzfragen und Potenziale für die Zukunft besprochen.

[Link zum Beitrag]

Zitation: Ebner, Markus, Ebner, Martin (2018) Learning Analytics an Schulen – Hintergrund und Beispiele. medienimpulse 1/2018. S. 16

[publication] Potenziale von Learning Analytics in der Grundschule #LearningAnalytics

Unser Artikel zu „Potenziale von Learning Analytics in der Grundschule“ im Rahmen der medienimpulse 1/2018 Ausgabe ist nun online zugänglich.

Zusammenfassung:

Learning Analytics ist eine Methode, die helfen kann, durch Datenanalyse das Lernen von SchülerInnen gezielt zu verbessern. Es werden Daten von einzelnen SchülerInnen generiert, zusammengeführt und analysiert, um daraus resultierend ganz individuelle pädagogische Interventionen setzen zu können, damit die SchülerInnen bestmöglich gefördert werden können (Ebner/Neuhold/Schön 2013: 1). Der Beitrag stellt das Konzept eines aktuell laufenden Forschungsprojekts vor.
Einerseits soll durch einen Abgleich von aus Learning Analytics und Lernstandserhebungen gewonnenen Daten untersucht werden, wie wirksam die SchülerInnen unterstützt durch digitale Medien lernen. Andererseits ergeben sich durch das automatische Sammeln und Aufbereiten von Daten im Hintergrund der Software Möglichkeiten für LehrerInnen, die auch Einfluss auf die Vorbereitung und die Durchführung von leistungsdifferenziertem Unterricht durch datengestütztes und gezieltes individuelles pädagogisches Handeln der Lehrkräfte in der Volksschule haben können.

[Link zum Beitrag]

Zitation: Groißböck, P., Ebner, M. (2018) Potenziale von Learning Analytics in der Grundschule – Ein Forschungsprojekt über die Wirksamkeit von Learning Analytics im Mathematikunterricht der dritten Klasse Volksschule. medienimpulse 1/2018. S. 10

Schwerpunkt Learning Analytics im letzten FNMA-Magazin #LearningAnalytics #fnma

Im letzten Magazin des Forums Neue Medien Austria hab ich den Schwerpunkt Learning Analytics koordiniert. Es freut mich, dass doch eine nette kleine Anzahl an Beiträgen zusammen gekommen ist, die nun unter einer CC-BY-NC-SA-Lizenz nachlesbar sind:

  1. Schwerpunkt: Einleitung (Martin Ebner)
  2. Learning Analytics als Instrument zur qualitativen Weiterentwicklung und Flexibilisierung von Studium und Lehre (Mirco Zick, Sandrina Heinrich)
  3. Learning Analytics in Leadership-Trainings für Schulleitungen (Michael Schön)
  4. Das LAPS-Projekt: Frühzeitige Unterstützung von Studierenden (LAPS-Projektteam)
  5. Learning Analytics in Moodle. Datenerfassung und Auswertung in einem Mathematik-Onlinekurs (Christian Steinert, Olga Wälder)
  6. Learning Analytics – ein Funke, der Unterrichtsentwicklung an Schulen entfachen kann (Peter Groißböck)
  7. Die Potenziale von Learning Analytics an Schulen wahrnehmen (Markus Ebner)
  8. Schreiben – Rechtschreiben lernen mit Learning Analytics – Individuell Differenziert Rechtschreiben mit Blogs (IDeRBlog, www.iderblog.eu) (Michael Gros, Nina Steinhauer)
  9. Wie Learning Analytics das Studienleben revolutioniert (Philipp Leitner)
  10. Learning Analytics im E-Campus Wirtschaftsinformatik (Laura Schramm)

[Link zur Augabe des FNMA-Magzin 2018/1]

[presentation] Orthography Training with IDeRBlog an Open Educational Resources Practice #tugraz #iderblog #learninganalytics

Our presentation about „Orthography Training with IDeRBlog an Open Educational Resources Practice“ for this year Open Education Global Conference in Delft, Netherland, is now online available. We introduce to our project IDeRBlog, where you can participate to learn German orthography for free 🙂

[publication] Can Learning Analytics Find Success in Didactical Measurements? Results from a MOOC Case Study #tugraz #research

We are very proud to be part of the book „Digital Workplace Learning“ with a contribution about our MOOC research. This time we take a look to a particular MOOC and reported about the case study. Our chapter „Can Learning Analytics Find Success in Didactical Measurements? Results from a MOOC Case Study“ is now published.

Abstract:

In recent years, massive open online courses (MOOCs) led the road into a new era of learning environment systems. Since 2008, e-Learning witnessed a new type of course which is massive in student numbers, open for anyone, and available for all without limitations. MOOCs integrate social networking, accessible online resources, and open-ended outcomes and are publicly shared. In addition, MOOCs offer several online variables that allow researchers from analytical disciplines (learning analytics) to translate these variable data values into research actions and interpret patterns. In this chapter, we present a detailed analysis of a MOOC case study offered in the previous 2 years, 2015 and 2016. The Graz University of Technology, the University of Graz, and partners from the Medical University of Graz collaborated on a project producing a MOOC called “Dr. Internet.” This MOOC aims to investigate whether the Internet helps or hurts in the endeavor to increase health literacy of the public and how it affects the practitioner-patient relationship. Nevertheless, the research study in this chapter is looking onto a different point of view. We will follow a quantitative investigation and apply learning analytics techniques on learners’ behavior as well as scrutinize traces they left behind in videos, discussion forums, and quizzes. In addition, we try to further inspect the dropout rate and level of engagement. It can be outlined that the early analysis results show that those MOOCs behaved similar to other studies but they differ in the higher number of reads in the discussion forum. Reasonable didactical interventions assisted to change learners’ attitudes toward online learning. This chapter will also describe the didactical approach of the Dr. Internet MOOCs.

[Full Paper @ Springer]

[Draft version @ ResearchGate]

Reference: Khalil M., Ebner M. (2018) Can Learning Analytics Find Success in Didactical Measurements? Results from a MOOC Case Study. In: Ifenthaler D. (eds) Digital Workplace Learning. Springer, Cham. pp. 211-225

What are the Challenges of Learning Analytics in Higher Education? #research #stela

We are proud that our article on „Learning Analytics in Higher Education—A Literature Review“ are named, discussed and cited on the website „student success“ of the three universities Leiden-Delft-Rotterdam.

The authors at the end argue that Learning Analytics imply moral practices. The ethical constraints drive the above-mentioned limitations to a wider extent and they ask for more and more consideration of the type of data used of Higher Education in Learning Analytics.

[Link to the online blogpost]