Schlagwort: research

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[publication] What Massive Open Online Course (MOOC) Stakeholders Can Learn from Learning Analytics? #tugraz

Our chapter about „What Massive Open Online Course (MOOC) Stakeholders Can Learn from Learning Analytics?“ got published as part of the International Compendium of Theory, Research, Practice, and Policy of Learning, Design and Technology.
Abstract:

Massive open online courses (MOOCs) are the road that led to a revolution and a new era of learning environments. Educational institutions have come under pressure to adopt new models that assure openness in their education distribution. Nonetheless, there is still altercation about the pedagogical approach and the absolute information delivery to the students. On the other side with the use of Learning Analytics, powerful tools become available which mainly aim to enhance learning and improve learners’ performance. In this chapter, the development phases of a Learning Analytics prototype and the experiment of integrating it into a MOOC platform, called iMooX will be presented. This chapter explores how MOOC stakeholders may benefit from Learning Analytics as well as it reports an exploratory analysis of some of the offered courses and demonstrates use cases as a typical evaluation of this prototype in order to discover hidden patterns, overture future proper decisions, and to optimize learning with applicable and convenient interventions.

[Full Chapter @ Springer]

[Draft Version @ ResearchGate]

Reference: Khalil, M., Ebner, M. (2016) What Massive Open Online Course (MOOC) Stakeholders Can Learn from Learning Analytics? In: Spector, M., Lockee, B., Childress, M. (Ed.), Learning, Design, and Technology: An International Compendium of Theory, Research, Practice, and Policy, Springer International Publishing, pp. 1-30

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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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[publication] What is Learning Analytics about? A Survey of Different Methods Used in 2013-2015 #LearningAnalytics #tugraz

Our publication about „What is Learning Analytics about? A Survey of Different Methods Used in 2013-2015“ for this year Smart Learning Excellence Conference in Dubai is now online available. The slides have been already published here.
Abstract:

The area of Learning Analytics has developed enormously since the first International Conference on Learning Analytics and Knowledge (LAK) in 2011. It is a field that combines different disciplines such as computer science, statistics, psychology and pedagogy to achieve its intended objectives. The main goals illustrate in creating convenient interventions on learning as well as its environment and the final optimization about learning domain’s stakeholders (Khalil & Ebner, 2015b). Because the field matures and is now adapted in diverse educational settings, we believe there is a pressing need to list its own research methods and specify its objectives and dilemmas. This paper surveys publications from Learning Analytics and Knowledge conference from 2013 to 2015 and lists the significant research areas in this sphere. We consider the method profile and classify them into seven different categories with a brief description on each. Furthermore, we show the most cited method categories using Google scholar. Finally, the authors raise the challenges and constraints that affect its ethical approach through the meta-analysis study. It is believed that this paper will help researchers to identify the common methods used in Learning Analytics, and it will assist by establishing a future forecast towards new research work taking into account the privacy and ethical issues of this strongly emerged field.

[Full text @ ResearchGate]

Reference: Khalil, M., Ebner, M. (2016). What is Learning Analytics about? A Survey of Different Methods Used in 2013-2015. Conference proceeding of the 8th e-Learning Excellence Conference, 2016. Dubai, UAE. pp. 1-12

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[presentation] Potential of EPUB3 for Digital Textbooks in Higher Education #ebook #tugraz

Mohammad Khalil also presented our publication about „Potential of EPUB3 for Digital Textbooks in Higher Education “ at Smart Learning Excellence Conference in Dubai. Here are his presentation slides:

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[seminar] Qualitätssicherung und PR #tugraz #research

Im Rahmen eines Seminars für den „Lehrgang Hochschuldidaktik“ habe ich auch das Modul „Qualitätssicherung und PR“ über gehabt.
Hier gibt es meinen Foliensatz hierzu:

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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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Preconference MOOC for EMOOCs 2016 starts #emoocs2016 #imoox

We are very happy to announce that today the preconference MOOC for the EMOOCs 2016 conference in Graz is starting. You can register for the MOOC right here and for the conference follow this link.
Mohammad Khalil gives a short introduction to the MOOC, which will offer the top-paper of the researach and experience track of this year:

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[publication] Improved German Spelling Acquisition through Learning Analytics #iderblog #LearningAnalytics

Our publication about the Learning Analytics implementation within the IDER-blog procject has been published: „Improved German Spelling Acquisition through Learning Analytics“.
Abstract:

Many pupils struggle with the acquisition of the German orthography. In order to meet this struggle a web based platform for German speaking countries is currently developed. This platform aims to motivate pupils aged 8 to 12 to improve their writing and spelling competences. In this platform pupils can write texts in the form of blog entries concerning everyday events or special topics. Since the core of this platform consists of an intelligent dictionary focussing on different categories of misspellings, students can improve their own spelling skills by trying to correct their mistakes according to the feedback of the system. Teachers are informed about specific orthographic problems of a particular student by getting a qualitative analysis of the misspellings from this intelligent dictionary. The article focuses on the development of the intelligent dictionary, details concerning the requirements, the categorization and the used wordlist. Further, necessary information on German orthography, spelling competence in general and the platform itself is given. By implementing methods of learning analytics it is expected to gain deeper insight into the process of spelling acquisition and thus serves as a basis to develop better materials on the long run.

[Full article at ResearchGate]

Reference: Edtstadler, K., Ebner, M., Ebner, M. (2015) Improved German Spelling Acquisition through Learning Analytics. eLearning Papers, 45, pp. 17-28

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LearningLab #tugraz #research

LearningLab TU GrazDas LearningLab zeigt unsere Aktivitäten an denen wir gerade arbeiten und forschen und sie sind damit also nicht Teil unserer Servicespaketes an der Technischen Universität Graz. Diese Applikationen wurden aus unterschiedlichen Anforderungen heraus entwickelt und können auch genutzt werden, da wir sie in der Regel für die Öffentlichkeit auch freigegeben haben. Wir freuen uns auf Rückmeldungen bzw. auch über Erfahrungsberichte beim Einsatz.

Das Learning Lab ist eine Plattform über die unterschiedlichste Tools, Lernobjekte und Forschungsprojekte rund um das technologiegestützte Lehren und Lernen angeboten werden. Betrieben wird das Learning Lab von TU Graz Lehr- und Lerntechnologien.

[Link zum LearningLab]

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[publication] Use of Learning-Analytics-Applications in Mathematic with Elementary Learners #LearningAnalytics

Our paper about „Use of Learning-Analytics-Applications in Mathematic with Elementary Learners“ got published in the International Journal of Academic Research in Education.
Abstract:

This paper describes a study about the use of learning analytical applications in everyday school life. The research study took place in an Austrian secondary school during the mathematics courses. The subjects of the courses were the four basic arithmetical operations in the set of the natural numbers. All together two mathematics classes with 46 children at the age of 10 to 11 participated in this study. The aim was to test the usefulness of mathematics trainers, developed by the University of Technology in Graz, under real conditions. Therefore, one of the classes was determined as the experimental group, which studied with the mathematics trainers. The other class was set as the control group. This class operated with traditional exercise sheets. A pre-test and post-test control-group study indicated that the use of mathematics trainers does not decrease learning outcomes, but it points out other benefits during the whole learning arrangement. These advantages include error analysis, time saving in comparing the homework and enjoying the work with the trainers.

[Link to full article]

Reference: Ebner, M. & Pronegg, M. (2015). Use of Learning Analytics Applications in Mathematics with Elementary Learners. International Journal of Academic Research in Education, 1(2), 26‐39. DOI: 10.17985/ijare.37247