Kategorie: Publikationen

Veröffentlichungen zu jeweiligen Thema

Veröffentlicht am

[ijet, journal] Journal of Emerging Technologies in Learning Vol. 14 / No. 18 #ijet #research

Issue 14(18) of our journal on emerging technologies for learning got published. Enjoy the readings as usual for free :-).

Table of Contents:

  • An Effective Allocation Model of Computer Teaching Management Resources Based on Particle Swarm Optimization
  • Teaching Antonyms to Arabic-Speaking EFL Learners
  • ImALeG: A Serious Game for Amazigh Language Learning
  • Applying Protection Motivation Theory To Understand Generation Z Students Intention To Comply With Educational Software Anti Piracy Law
  • Situational Cognition of College English Education Based on Image Block Gain Optimization in Pseudo-haze State
  • Effectiveness Analysis of Edmodo-Based Blended English Learning Mode
  • A Comprehensive Teaching Reform Model for a Computer Networks Course Based on Integrated Information Systems
  • Teachers’ Consideration in Technology-Integrated Lesson Design – A case of Indonesian EFL Teachers
  • Effectiveness of Digital Note-Taking on Students’ Performance in Declarative, Procedural and Conditional Knowledge Learning
  • Application of a New Cultivation Model in an Undergraduate ‚Convention and Exhibition Management‘ Study Program
  • A Study on “Double-subject” Teaching Mode of Sport Statistics Course
  • Anytime Autonomous English MALL App Engagement
  • Effect of Augmented Reality and Simulation on the Achievement of Mathematics and Visual Thinking Among Students
  • Sort Elements Based on Priority, in order to Improve the Quality of E-Learning in Health Using Difficulty-Usefulness Pyramid with Weighting (DUP-We)
  • Potentials of Fog Computing in Higher Education
  • Students’ Perception about Learning using MOOC
  • Implementation of Cooperative Learning Model on E-Assignment Responsiveness at Higher Education

[Link to Issue 14/18]

Nevertheless, if you are interested to become a reviewer for the journal, please just contact me :-).

Veröffentlicht am

[presentation] Erstellung und Einsatz von Lehr- und Lernvideos #tugraz #lehrvideo #imoox

Im Rahmen der Fachtagung „Lernprodukte/Erklärvideos – digitales Prüfen“ hat man mich gebeten, ein wenig über unsere Erfahrungen zu Lehr- und Lernvideos zu geben. Hier sind meine Folien:

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Ich werde auch dabei den Lernvideo-Canvas vorstellen.

Veröffentlicht am

TELucation #tugraz #sammelmappe

Wir haben an der TU Graz ein neues Projekt gestartet – eine Sammelmappe mit allen wichtigen Infos für unsere Lehrenden rund um das Thema Technology Enhanced Learning. Wir wollen hiermit den Einstieg in die digtal gestützte Lehre erleichtern und unterstützen wo wir nur können. Als Teaser ist auch ein kleines Video entstanden, welches wir natürlich niemand vorenhalten wollen:

YouTube

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Sind Sie Bediensteter der TU Graz?

Der TeachCenter Kurs TELucation befindet sich bei allen Bediensteten der TU Graz am Dashboard des TeachCenters – alle Bediensteten sind bereits automatisch eingeschrieben.
Bitte loggen Sie sich ein (https://tc.tugraz.at ) und klicken links im Hauptmenü auf Dashboard. Nun sollten Sie unterhalb die Überschrift „Kurse für Mitarbeiter/innen“ sehen. Da befinden sich Kurse wie die Arbeitsplatzsicherheit und eben auch der Kurs „TELucation„.

Veröffentlicht am

[publication] Insights into Learning Competence Through Probabilistic Graphical Models #tugraz #research

We contributed to this year „Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference (CD-MAKE 2019)“ with a publication titled „Insights into Learning Competence Through Probabilistic Graphical Models„.

Abstract:

One-digit multiplication problems is one of the major fields in learning mathematics at the level of primary school that has been studied over and over. However, the majority of related work is focusing on descriptive statistics on data from multiple surveys. The goal of our research is to gain insights into multiplication misconceptions by applying machine learning techniques. To reach this goal, we trained a probabilistic graphical model of the students’ misconceptions from data of an application for learning multiplication. The use of this model facilitates the exploration of insights into human learning competence and the personalization of tutoring according to individual learner’s knowledge states. The detection of all relevant causal factors of the erroneous students answers as well as their corresponding relative weight is a valuable insight for teachers. Furthermore, the similarity between different multiplication problems – according to the students behavior – is quantified and used for their grouping into clusters. Overall, the proposed model facilitates real-time learning insights that lead to more informed decisions.

[Proceedings online @ Springer]

[Draft @ ResearchGate]

Reference: Saranti, A., Taraghi, B., Ebner, M., Holzinger, A. (2019) Insights into Learning Competence Through Probabilistic Graphical Models. In: Machine Learning and Knowledge Extraction. Third IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2019, Canterbury, UK, August 26–29, 2019, Proceedings. pp. 250-271

Veröffentlicht am

[ijet, journal] Journal of Emerging Technologies in Learning Vol. 14 / No. 17 #ijet #research

Issue 14(17) of our journal on emerging technologies for learning got published. Enjoy the readings as usual for free :-).

Table of Contents:

  • Students’ Continuance Intention to Experience Virtual and Remote Labs in Engineering and Scientific Education
  • Inquiry Based Teaching in an Animation Multimedia Course
  • Integrating ICT in English for Academic Purposes Materials through Task-Based Approach
  • A Inquiry Teaching Mode Based on STEM Education
  • A Network Digital Teaching Mode of Basketball Based on Ecological Learning Space
  • A Study on the Construction of a Culture Pedagogical Network Learning Space – The CASH Curriculum Idea
  • Analysis on WeChat-Based Blended Learning in Network Marketing Course
  • Storage and Allocation of English Teaching Resources Based on k-Nearest Neighbor Algorithm
  • The Implementation of Blended Learning with Kelase Platform in the Learning of Assessment and Evaluation Course
  • Problematic of the Assessment Activity within Adaptive E-Learning Systems
  • Method of Text Content Development in Creation of Professionally Oriented Online Courses for Oil and Gas Specialists
  • Partnership of University and Schools Within the Preparation of Future Teachers
  • Re-conceptualizing Techno-Linguistics: Using Technology for English Language Teaching?
  • A Interactive Teaching Mode Based on Educational Games – Case Study of Acupuncture Course
  • A SPOC Teaching Mode of College English Translation Based on „Rain Classroom“

[Link to Issue 14/17]

Nevertheless, if you are interested to become a reviewer for the journal, please just contact me :-).

Veröffentlicht am

[presentation] Mehr als ein MOOC #mooc #tugraz # #delfigmw2019 #imoox

Wir haben bei der heurigen GMW-Tagung einen Beitrag zu verschiedenen didaktisch MOOC-Szenarien eingereicht. Sozusagen die Erfahrungen die wir in den letzten Jahren mit der MOOC-Plattform iMooX sammeln können. Hier gibt es die Folien zur heutigen Präsentation:

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Veröffentlicht am

[presentation] Was lernen wir von Learning Analytics #tugraz #research #LearningAnalytics

Im Rahmen des ÖFEB-Kongress darf ich heute über Learning Analytics reden – die Folien findet man hier:

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[publication] Scheduling Interactions in Learning Videos: A State Machine Based Algorithm #tugraz #Interactive

We did an article about „Scheduling Interactions in Learning Videos: A State Machine Based Algorithm“ for the first issue of the „International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)„.

Abstract:

Based on the currently developing trend of so called Massive Open Online Courses it is obvious that learning videos are more in use nowadays. This is some kind of comeback because due to the maxim “TV is easy, book is hard” [1][2] videos were used rarely for teaching. A further reason for this rare usage is that it is widely known that a key factor for human learning is a mechanism called selective attention [3][4]. This suggests that managing this attention is from high importance. Such a management could be achieved by providing different forms of interaction and communication in all directions. It has been shown that interaction and communication is crucial for the learning process [6]. Because of these remarks this research study introduces an algorithm which schedules interactions in learning videos and live broadcastings. The algorithm is implemented by a web application and it is based on the concept of a state machine. Finally, the evaluation of the algorithm points out that it is generally working after the improvement of some drawbacks regarding the distribution of interactions in the video.

[article @ journal’s homepage]

[article @ ResearchGate]

Reference: Wachtler, J., Ebner, M. (2019) Scheduling Interactions in Learning Videos: A State Machine Based Algorithm. IN: International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI). 2019(1). pp. 58-76

Veröffentlicht am

[publication] Making – eine Bewegung mit Potenzial (merz 2019) #makereducation #making

Die aktuelle merz medien + erziehung hat den Schwerpunkt Making und Medienpädagogik, herausgegeben von Kristin Narr und Björn Maurer. Mit Martin Ebner durfte ich einen Beitrag zusteuern, der eine Einführung zum Thema gibt:

Making ist en vogue – medienpädagogische Projekte mit dem Fokus auf die kreative digitale Arbeit erhalten aktuell große Aufmerksamkeit. Doch was passiert eigentlich in einem Makerspace? Welche Werkzeuge kommen zum Einsatz? Was kann man sich unter Maker Education vorstellen? In diesem Beitrag werden
zunächst Besonderheiten des Making genannt und Meilensteine der Maker-Bewegung skizziert. Darauf aufbauend werden Merkmale der Maker Education und deren Potenzial beschrieben.

Das Heft ist beim Verlag zu bestellen, einen Vorabdruck haben wir bei Researchgate online gestellt.

  • Sandra Schön und Martin Ebner (2019). Making – eine Bewegung mit Potenzial. In: merz medien + erziehung. Zeitschrift für Medienpädagogik, 63 Jg., Nr. 4, August 2019, S. 9-16. https://www.merz-zeitschrift.de/
Veröffentlicht am

[publication] Potentials of Chatbots for Spell Check among Youngsters #tugraz #chatbot #research #LearningAnalytic

We did an article about „Potentials of Chatbots for Spell Check among Youngsters“ for the first issue of the „International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)„.

Abstract:

Chatbots are already being used successfully in many areas. This publication deals with the development and programming of a chatbot prototype to support learning processes. This Chatbot prototype is designed to help pupils in order to correct their spelling mistakes by providing correction proposals to them. Especially orthographic spelling mistake should be recognized by the chatbot and should be replaced by correction suggestions stored in test data.

[article @ journal’s homepage]

[article @ ResearchGate]

Reference: Arifi, J., Ebner, M., Ebner, M. (2019) Potentials of Chatbots for Spell Check among Youngsters. IN: International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI). 2019(1). pp. 77-88