Kategorie: Learning Analytics

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Computerspiele und Unterricht: Lernen für den Highscore des Lebens

Im Rahmen eines Interviews des Standards wurde ich zu unserem Appentwicklungen befragt – unter anderem führe ich die Buchstabenpost und die Mathetrainer an:

… Er und sein Team forschen daran, wie sich iPads im Schulunterricht einsetzen lassen und entwickeln dazu Apps zur spielerischen Vermittlung von Lehrinhalten, die frei zugänglich sind und bereits an österreichischen Schulen im Einsatz sind. Dabei konzentrieren sich die steirischen Wissenschafter auf solche Programme, bei denen die Schüler nicht einsam am Tablet arbeiten, sondern durch die Vernetzung der iPads Aufgaben gemeinsam lösen …

[Link zum Zeitungsartikel]

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[presentation] E-Books im Spannungsfeld von Learning Analytics

Christoph Prettenthaler hat im Rahmen seiner Masterarbeit ein webbasiertes Informationssystem entwickelt, welches es erlaubt interaktive Übungen in E-Books einzubauen bzw. online zu generieren. Wie es funktioniert zeigt er in seiner Präsentation:

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[publication] Determining the Causing Factors of Errors for Multiplication Problems

Our contribution about „Determining the Causing Factors of Errors for Multiplication Problems“ at this year European Immersive Education Summit is now online available.
Abstract:

Literature in the area of psychology and education provides domain knowledge to learning applications. This work detects the difficulty levels within a set of multiplication problems and analyses the dataset on different error types as described and determined in several pedagogical surveys and investigations. Our research sheds light to the impact of each error type in simple multiplication problems and the course of error types in problem-size.

Reference: Taraghi, B., Frey, M., Saranti, A., Ebner, M., Müller, V. & Großmann, A. (2014) Determining the Causing Factors of Errors for Multiplication Problems, European Immersive Education Summit, 2014, Vienna, pp. 144 – 153 [Link to article]

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[publication] A Contribution to Collaborative Learning Using iPads for School Children

Our contribution about „A Contribution to Collaborative Learning Using iPads for School Children“ at this year European Immersive Education Summit is now online available.
Abstract:

Collaboration has a very positive effect on students’ learning experiences as well as their social interactions. Our research study aims towards enhancing the learning experience, stimulating communication and cooperative behavior to improve learning. Making use of recent technological advancements (tablets) and gaming as a motivational factor, a prototype application in form of a multiplayer learning game for iPads was designed and developed. In a face-to-face setting, connecting up to four devices, the players (learners) have to solve word puzzles in a collaborative way. Furthermore, a web-interface for teachers provides the possibility to create custom content as well as to receive feedback of the children’s performance. A first field study at two primary schools in Graz showed promising results for the learning behavior of school children.

Reference: Ebner, M., Kienleitner, B. (2014) A Contribution to Collaborative Learning Using iPads for School Children, European Immersive Education Summit, 2014, Vienna, pp. 87-97 [Link to article]

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[presentation] A Contribution to Collaborative Learning Using iPads for School Children

Our presentation about „A Contribution to Collaborative Learning Using iPads for School Children“ at this year 4th European Immersive Education Summit is now online available. I talked about our application „Buchstabenpost„, which can be used by anyone who is interested in it. Enjoy the slides and if there is any question, just ask 🙂

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[publication] Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems

Our publication about „Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems“ at this year EC-TEL conference is now available.
Abstract:

Applications that try to enhance learners’ knowledge can profit by the creation and analysis of learner profiles. This work deals with the derivation of an optimal sequence of questions by comparing similar learning behaviour of users of a mathematics training application. The adaptation of the learners’ clusters to the answers of the revised optimal question sequence improves learning

Reference: Taraghi, B., Saranti, A., Ebner, M., Großmann, A., Müller, V. (2014) Adaptive Learner Profiling Provides the Optimal Sequence of Posed Basic Mathematical Problems. In: Open Learning and Teaching in Educational Communities. Rensing, C., de Freitas, S., Ley, T., Muñoz-Merino, P. J. (Ed.). Lecture Notes in Computer Science Volume 8719, Springer 2014, pp. 592-59

[Link to .pdf at Springer]

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[poster] Learning Analytics und EPUB3

We are presenting two posters at this year EC-TEL conference in Graz. One is about Learning Analytics and one about the potential of eBooks:

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schule.tugraz.at

schule.tugraz.at
Rechtzeitig zum Schulbeginn haben wir nun endlich alles umgestellt und unsere Aktivitäten im Bereich Schule und Learning Analytics gebündelt. Ab sofort steht die Seite schule.tugraz.at zur Verfügung und bündelt den Einmaleins-Trainer, den Additions- und Subtraktionstrainer, den mehrstelligen Multiplikationstrainer, sowie auch die Apps für den Lesestest und der Buchstabenpost.
Wir hoffen, dass das Angebot auch weiterhin noch ausgebaut werden kann (zumindest wird von den Studierenden im Hintergrund fleißig gearbeitet) und freuen uns natürlich auch auf Rückmeldungen 🙂 .

This is my last blogpost for the next two weeks – I will go for vacation with my family. In the meanwhile have a pleasant time and come back with me on 18th of August 🙂

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[publication] Markov Chain and Classification of Difficulty Levels Enhances the Learning Path in One Digit Multiplication

Our second publication at this year HCII conference in Crete, Greece is about „Markov Chain and Classification of Difficulty Levels Enhances the Learning Path in One Digit Multiplication„.
Abstract:

In this work we focus on a specific application named “1×1 trainer” that has been designed to assist children in primary school to learn one digit multiplications. We investigate the database of learners’ answers to the asked questions by applying Markov chain and classification algorithms. The analysis identifies different clusters of one digit multiplication problems in respect to their difficulty for the learners. Next we present and discuss the outcomes of our analysis considering Markov chain of different orders for each question. The results of the analysis influence the learning path for every pupil and offer a personalized recommendation proposal that optimizes the way questions are asked to each pupil individually.

Markov Chain and Classification of Difficulty Levels Enhances the Learning Path in One Digit Multiplication… by Martin

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Reference: Taraghi, B., Saranti, A., Ebner, M., Schön, M. (2014) Markov Chain and Classification of Difficulty Levels Enhances the Learning Path in One Digit Multiplication. Learning and Collaboration Technologies. Designing and Developing Novel Learning Experiences. Panayiotis, Z., Ioannou, A. (Ed.), Springer Lecture Notes, pp. 322-322

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[publication] Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching

Our contribution at this year International Computer Assisted Assessment Conference (CAA 2014) about „Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching“ is now online available.
Abstract:

Much has been written lately about the potential of Learning Analyt- ics for improving learning and teaching. Nevertheless, most of the contributions to date are concentrating on the abstract theoretical or algorithmic level, or, deal with academic efficiencies like teachers’ grading habits. This paper wants to fo- cus on the value that Learning Analytics brings to pedagogic interventions and feedback for reflection. We first analyse what Learning Analytics has to offer in this respect, and, then, present a practical use case of applied Learning Analytics for didactic support in primary school Arithmetic.

Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching by Martin

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Reference: Greller, W., Ebner, M., Schön, M. (2014) Learning Analytics: From Theory to Practice – Data Support for Learning and Teaching. In: Computer Assisted Assessment. Kalz, Marco, Ras, Eric (Eds.) -Research into E-Assessment, Communications in Computer and Information Science Volume 439, 2014, pp 79-87. Springer, New York