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[publication] Web Analytics as Extension for a Learning Analytics Dashboard of a Massive Open Online Platform #imoox #learninganalytics #tugraz #reseach

Our research about „Web Analytics as Extension for a Learning Analytics Dashboard of a Massive Open Online Platform“ got published.

Abstract:
Massive open online courses (MOOCs) provide anyone with Internet access the chance to study at university level for free. In such learning environments and due to their ubiquitous nature, learners produce vast amounts of data representing their learning process. Learning Analytics (LA) can help identifying, quantifying, and understanding these data traces. Within the implemented web-based tool, called LA Cockpit, basic metrics to capture the learners’ activity for the Austrian MOOC platform iMooX were defined. Data is aggregated in an approach of behavioral and web analysis as well as paired with state-of-the-art visualization techniques to build a LA dashboard. It should act as suitable tool to bridge the distant nature of learning in MOOCs. Together with the extendible design of the LA Cockpit, it shall act as a future proof framework to be reused and improved over time. Aimed toward administrators and educators, the dashboard contains interactive widgets letting the user explore their datasets themselves rather than presenting categories. This supports the data literacy and improves the understanding of the underlying key figures, thereby helping them generate actionable insights from the data. The web analytical feature of the LA Cockpit captures mouse activity in individual course-wide heatmaps to identify regions of learner’s interest and help separating structure and content. Activity over time is aggregated in a calendar view, making timely reoccurring patterns otherwise not deductible, now visible. Through the additional feedback from the LA Cockpit on the learners’ behavior within the courses, it will become easier to improve the teaching and learning process by tailoring the provided content to the needs of the online learning community.

abstract of article

[article @ book’s homepage]
[draft @ ResearchGate]

Reference: Leitner P., Maier K., Ebner M. (2020) Web Analytics as Extension for a Learning Analytics Dashboard of a Massive Open Online Platform. In: Ifenthaler D., Gibson D. (eds) Adoption of Data Analytics in Higher Education Learning and Teaching. Advances in Analytics for Learning and Teaching. Springer, Cham. https://doi.org/10.1007/978-3-030-47392-1_19

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[publication] Property-Based Testing for Parameter Learning of Probabilistic Graphical Models #machinelearning #learninganalytics

Thanks to my colleagues – we did a publication for this year CDMAKE-conference about „Property-Based Testing for Parameter Learning of Probabilistic Graphical Models„.

Abstract:
Code quality is a requirement for successful and sustainable software development. The emergence of Artificial Intelligence and data driven Machine Learning in current applications makes customized solutions for both data as well as code quality a requirement. The diversity and the stochastic nature of Machine Learning algorithms require different test methods, each of which is suitable for a particular method. Conventional unit tests in test-automation environments provide the common, well-studied approach to tackle code quality issues, but Machine Learning applications pose new challenges and have different requirements, mostly as far the numerical computations are concerned. In this research work, a concrete use of property-based testing for quality assurance in the parameter learning algorithm of a probabilistic graphical model is described. The necessity and effectiveness of this method in comparison to unit tests is analyzed with concrete code examples for enhanced retraceability and interpretability, thus highly relevant for what is called explainable AI.

abstract of the article

[publication @ book homepage]
[draft @ ResearchGate]

Reference: Saranti A., Taraghi B., Ebner M., Holzinger A. (2020) Property-Based Testing for Parameter Learning of Probabilistic Graphical Models. In: Holzinger A., Kieseberg P., Tjoa A., Weippl E. (eds) Machine Learning and Knowledge Extraction. CD-MAKE 2020. Lecture Notes in Computer Science, vol 12279. Springer, Cham. https://doi.org/10.1007/978-3-030-57321-8_28

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[publication] Learning Analytics and Spelling Acquisition in German – The Path to Individualization in Learning #hcii20 #iderblog

We did a contribution titled „Learning Analytics and Spelling Acquisition in German – The Path to Individualization in Learning“ for this year HCII conference.

Abstract:
This paper shows how Learning Analytic Methods are combined with German orthography in the IDeRBlog-project (www.iderblog.eu). After a short introduction to the core of the platform – the intelligent dictionary – we focus on the presentation and evaluation of a new training format. The aim of this format is, that pupils can train misspelled words individually in a motivating and didactic meaningful setting. As a usability test was run with twenty one third graders, we are able to present the results of this evaluation.

Abstract of the publication

[full article @ publisher’s webpage]
[draft @ researchgate]

Reference: Ebner M., Edtstadler K., Ebner M. (2020) Learning Analytics and Spelling Acquisition in German – The Path to Individualization in Learning. In: Zaphiris P., Ioannou A. (eds) Learning and Collaboration Technologies. Designing, Developing and Deploying Learning Experiences. HCII 2020. Lecture Notes in Computer Science, vol 12205. Springer, Cham. pp. 317-325.

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[publication] Individualized Differentiated Spelling with Blogs – Implementing and Individualizing (IDeRBlog ii) #iderblog #hcii2020 #tugraz

We did a contribution titled „Individualized Differentiated Spelling with Blogs – Implementing and Individualizing (IDeRBlog ii)“ for this year HCII conference.

Abstract:
The paper depicts the Erasmus+ project “Individual DifferEntiated correct writing with Blogs – Individualizing and Implementing (IDeRBlog ii)”. IDeRBlog ii is a follow-up project evolving the result of IDeRBlog, a blogging platform for pupils aged eight and above. The project is an international cooperation between 3 countries in Europe. This paper presents an overview of possibilities in context of individualization of the exercises. Further, it covers the benefits of using the platform, e.g. learning about media competences, how to communicate online and the possibility to get individualized exercises for supported during their writing process by the feedback of the intelligent dictionary.

Abstract of the publication

[full article @ publisher’s webpage]
[draft @ researchgate]

Reference: Leidinger N., Gros, M., Ebner, M., Ebner, M., Edtstadler, K. Herunter, E., Heide J., Pfeifer, S., Huppertz, A. & Kistemann V. (2020) Individualized Differentiated Spelling with Blogs – Implementing and Individualizing (IDeRBlog ii). In: Zaphiris P., Ioannou A. (eds) Learning and Collaboration Technologies. Designing, Developing and Deploying Learning Experiences. HCII 2020. Lecture Notes in Computer Science, vol 12205. Springer, Cham. pp. 368-279

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[presentation] Implementation fo Interactive Learning Objects for German Language Acquisition in Primary School based on Learning Analytics Measurements #iderblog #edil2020 #tel

The third presentation at this year EDMedia conference (online) was about “ Implementation fo Interactive Learning Objects for German Language Acquisition in Primary School based on Learning Analytics Measurements „. Find here the slides of the talk of Markus:

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[publication] Mobile Learning Applications for Android und iOS for German Language Acquisition based on Learning Analytics Measurements #LearningAnlytics #IdERblog

We did a contribution to the International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI) titled „Mobile Learning Applications for Android und iOS for German Language Acquisition based on Learning Analytics„

Abstract:
The use of digital media is increasingly being promoted in school teaching. Since this aspect changes the interaction between teachers and pupils, this research is concerned with the development of a prototype of a mobile application for Android and iOS, in which different learning applications for language acquisition are offered on the basis of learning analytical measurements provided by experts in the field. By logging and collecting interactions of the user, it is possible to create a variety of statistical evaluations and thus respond to the needs and weaknesses of students. For the evaluation of the application, a user experience test was carried out, whereby the child-friendly operation of the application was tested. Due to the very positive feedback, the design was found to be good and can therefore be further developed.

Journal’s homepage

[Link to full article @ ResearchGate]
[Link to full article @ journal’s homepage]

Reference: Friedl, Markus, Ebner, Markus, Ebner, Martin (2020) Mobile Learning Applications for Android und iOS for German Language Acquisition based on Learning Analytics Measurements. International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI). 2(1). pp. 4-13