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Publikationen

Veröffentlichungen zu jeweiligen Thema

[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 :-).

[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:

[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:

[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

[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/

[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

[publication] „Computer Science for all“: Concepts to engage teenagers and non-CS students in technology #research #tugraz

Our conference contribution to this year 13th European Conference on Games Based Learning about „„Computer Science for all“: Concepts to engage teenagers and non-CS students in technology“ is now online available – enjoy reading 🙂

Abstract:

Knowledge in Computer Science (CS) is essential, and companies have increased their demands for CS professionals. Despite this, many jobs remain unfilled. Furthermore, employees with computational thinking (CT) skills are required, even if they are not actual technicians. Moreover, the gender disparity in technology related fields is a serious problem. Even if companies want to hire women in technology, the number of women who enter these fields is remarkably low. In high schools, most teenagers acquire only low-level skills in CS. Thus, they may never understand the fundamental concepts of CS, have unrealistic expectations or preconceptions, and are influenced by stereotype-based expectations. Consequently, many teenagers exclude computing as a career path. In this research study, we present two promising concepts to overcome these challenges. First, we consider alternative paths to enter the field of CS. In 2018, a voluntary lecture „Design your own app“ at the University of Graz for students of all degree programs was introduced. In total, 202 students participated. We applied a Game Development-Based Learning (GDBL) approach with the visual coding tool Pocket Code, a mobile app developed at Graz University of Technology. The students were supposed to create simple games directly on smartphones. The course received positive evaluations and led to our second concept; In January 2019, we started to design a MOOC (Massive Open Online Course) with the title „Get FIT in Computer Science“. First, this course can be used to encourage young women who have little to no previous knowledge in CS. Second, it should help all teenagers to get a more realistic picture of CS to its basic concepts. Third, teachers can use the course materials to lead high school classes (Open Educational Resources). Finally, the MOOC can be accessed by everyone interested in this topic.

[Article @ ResearchGate]

Reference: Spieler, B., Grandl, M., Ebner, M., Slany, W. (2019) „Computer Science for all“: Concepts to engage teenagers and non-CS students in technology. In: Conference Proceedings ECGBL 2019, Odense, Denmark

[publication] Setup of a Temporary Makerspace for Children at University: MAKER DAYS for Kids 2018 #tugraz #makereducation #makerdays

The conference proceeding of this year „Robotics in Education“ is online now and we contributed with a chapter about the MakerDays for Kids.

Abstract:

The maker movement has become a driving force for the new industrial revolution, whereby all learners should have the opportunity to engage. Makerspaces exist in different forms with different names and a variety of specializations. The MAKER DAYS for kids are a temporary open makerspace setting for children and teenagers with the goal to democratize STEAM education and social innovation and to empower young learners, especially girls, to shape their world. This publication presents the setup and results of a temporary makerspace at Graz University of Technology with more than 100 participants in four days in summer 2018 and discusses the role of new technologies as a trigger of making in education. Moreover, the MAKER DAYS implemented an innovative evaluation concept to document the participants’ activities in open and unstructured learning environments.

[article @ publisher’s Homepage]

[draft @ ResearchGate]

Reference: Grandl M., Ebner M., Strasser A. (2020) Setup of a Temporary Makerspace for Children at University: MAKER DAYS for Kids 2018. In: Merdan M., Lepuschitz W., Koppensteiner G., Balogh R., Obdržálek D. (eds) Robotics in Education. RiE 2019. Advances in Intelligent Systems and Computing, vol 1023. Springer, Cham

[article] Efforts in Europe for Data-Driven Improvement of Education – A Review of Learning Analytics Research in Six Countries #LearningAnalytics #tugraz

I did an article with a hand of colleagues about „Efforts in Europe for Data-Driven Improvement of Education – A Review of Learning Analytics Research in Six Countries“ for the first issue of the „International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI)„.

Abstract:

Information and communication technologies are increasingly mediating learning and teaching practices as well as how educational institutions are handling their administrative work. As such, students and teachers are leaving large amounts of digital footprints and traces in various educational apps and learning management platforms, and educational administrators register various processes and outcomes in digital administrative systems. It is against such a background we in recent years have seen the emergence of the fast-growing and multi-disciplinary field of learning analytics. In this paper, we examine the research efforts that have been conducted in the field of learning analytics in Austria, Denmark, Finland, Norway, Germany, Spain, and Sweden. More specifically, we report on developed national policies, infrastructures and competence centers, as well as major research projects and developed research strands within the selected countries. The main conclusions of this paper are that the work of researchers around Europe has not led to national adoption or European level strategies for learning analytics. Furthermore, most countries have not established national policies for learners’ data or guidelines that govern the ethical usage of data in research or education. We also conclude, that learning analytics research on pre-university level to high extent have been overlooked. In the same vein, learning analytics has not received enough focus form national and European national bodies. Such funding is necessary for taking steps towards data-driven development of education.

[article @ journal’s homepage]

[article @ ResearchGate]

Reference: Nouri, J., Ebner, M., Ifenthaler, D., Saqr, M., Malmberg, J., Khalil, M., Bruun, J., Viberg, O., González, M., Papamitsiou, Z., Berthelsen, U. (2019) Efforts in Europe for Data-Driven Improvement of Education – A Review of Learning Analytics Research in Six Countries. IN: International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI). 2019(1). pp. 8-27

[CfP] Positioning Artificial Intelligence in Education –Evidence and Reflections #ijai #reseach #tugraz

We would like to call for you contribution to a call for „Positioning Artificial Intelligence in Education –Evidence and Reflections„. We would like to do a special issue for the International Journal of Learning Analytics and Artificial Intelligence for Education (iJAI).

Due to recent technological advancements, artificial intelligence (AI) has received increased attention and has been adopted to many sectors and fields, thus, producing a profound impact. Given the rapid advancement of AI, it is expected that AI will continue to develop, integrate deeper and in many different sectors. Although the application of AI in the educational sector has been the subject of research for more than 30 years, a renewed and enforced interest in AI in education can be documented through the themes of scientific conferences, workshops and research papers, as well as how the Edtech industry is increasing efforts to integrate AI in educational applications. Indeed, this development is not unexpected considering that AI is associated with potentials of more personalized, adaptive and inclusive learning, and with empowered teachers and advanced learning environments. This Special Issue aims at highlighting contemporary research that covers AI in education. We are looking forward to receive both theoretical and empirical papers that provide readers with a better understanding of the theoretical discussions that are currently taking place, the empirical studies that are conducted, and the AI applications and systems that are developed

Submission of full paper: December 10, 2019

Find here the „Call for Paper“ with all details.