Digitale Lehre an und rund um der Technischen Universität Graz
Veröffentlichungen zu jeweiligen Thema
The next presentation at this year’s ED-Media conference is „Federated virtual learning management in a European University alliance: General challenges and first experiences using LTI to connect LMS in Unite!„. Find here our slides:
The next presentation at this year’s ED-Media conference is „The Development of „Teaching Management Patterns“ from the Perspective of IT Infrastructure as a Tool for Consulting and Further Development in a European University Alliance„. Find here our slides:
Our first presentation at this year’s ED-Media conference is „The use of programming tasks in interactive videos to increase learning effectiveness at MOOCs„. Find here our slides:
I was invited to a spotlight talk at this year’s EDEN conference about „Why Do We Still Need MOOCs For Education?„. Here you can find my slides:
Issue 19(05) of our journal on emerging technologies for learning got published. Enjoy the readings as usual for free :-).
Table of Contents:
Nevertheless, if you are interested to become a reviewer for the journal, please just contact me 🙂 .
Proudly announcing that the video of our talk within the Aalto series about Open Science is online: We talked about OER in Austria, OER at TU Graz and the Unite! OER courses project (by me, Sandra Schön and Rubén Vincente-Saez) is now online:
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Mathias did his master thesis about an innovative and new idea – using neural networks to estimate the hand pose while learning typing. Now we published his research in the International Journal of Interactive Mobile technologies.
Abstract:
This paper focuses on enhancing touch-typing skills through state-of-the-art deep learning technologies. It has been demonstrated that writing posture can be assessed using integrated keyboard detection and hand pose estimation in real-time browser environments. A unique dataset was created for training the object detection model to recognize individual keyboards. The object detection models were trained using various architectures and then assessed for both inference time and accuracy. In addition, a hand pose estimation was implemented to precisely recognize 21 knuckle points of the hand and compute their exact positions. In order to implement object detection and hand pose estimation, a stream transmission of the keyboard and hand scene is required. For this purpose, server-client communication via a QR code connection is implemented to transfer the stream between two mobile devices. Based on these deep learning technologies, a mobile web app was developed that offers 170 learning courses for touch-typing training. With the help of the Typing Learning Academy prototype, a study was conducted as part of this paper to evaluate the usability and utility of the learning app. This research demonstrates the potential for enhancing the development of writing skills through touch typing through the utilization of advanced deep learning technologies.
[full article @ journal’s homepage]
[full article @ ResearchGate]
Reference: Mattersberger, M., Wachtler, J., & Ebner, M. (2024). Handpose Estimation Based Learning Academy for Improving Typing Efficiency by Using Mobile Technologies. International Journal of Interactive Mobile Technologies (iJIM), 18(10), pp. 59–70. https://doi.org/10.3991/ijim.v18i10.49037
Our contribution titled „Supporting Sustainable and User-Oriented Educational Technology Innovation with the University Innovation Canvas“ was published in the newest issue of Education Sciences.
Abstract:
Innovating higher education teaching and learning is challenging due to structural, cultural, and resource-related reasons, and research indicates that university innovation benefits from a bottom-up approach as well as strategic alignment with university objectives. In this paper, we investigate such bottom-up innovation processes within higher education as supported by a specific tool: the University Innovation Canvas (UIC). Adapted from the Business Model Canvas and Lean Canvas, the UIC is designed to promote educational technology innovation and foster alignment of the innovation process with strategic objectives of the university: namely, sustainability and user orientation. An evaluation of the UIC based on interview and questionnaire data shows that its usage differs between innovation teams (on paper vs. digital, individual vs. collaborative, co-located vs. remotely, and synchronous vs. asynchronous). UIC usability is linked with these differences and with teams’ experience in realizing innovations. Overall, the UIC is perceived to be useful by (particularly, less-experienced) innovation teams and is successful at supporting sustainable and user-oriented innovations, as 14/15 innovations are still in use after up to four years since completion. To maximize its potential, more effort needs to be devoted to improving understanding of the UIC and supporting different workflows of innovation teams in the future.
[full article @ journal’s homepage]
[full article @ ResearchGate]
Reference: Bangerl, M.; Dennerlein, S.; Maitz, K.; Nitschke, M.; Ebner, M.; Pammer-Schindler, V. Supporting Sustainable and User-Oriented Educational Technology Innovation with the University Innovation Canvas. Educ. Sci. 2024, 14, 528. https://doi.org/10.3390/educsci14050528
Issue 19(04) of our journal on emerging technologies for learning got published. Enjoy the readings as usual for free :-).
Table of Contents:
Nevertheless, if you are interested to become a reviewer for the journal, please just contact me 🙂 .
Our article about „Analysis of Learners‘ Emotions in E-Learning Environments Based on Cognitive Sciences“ got published in the International Journal of Interactive Mobile Technologies (iJIM):
Abstract:
The present study aimed to examine students’ emotions in e-learning classes through facial expressions and investigate the influence of different instructional methods on students’ emotional responses. In this study, we examined the facial expressions of 17 undergraduate students using three different methods of presenting educational content (PowerPoint, video, and Kahoot) in online classes and analyzed the data with face reader software. The findings demonstrated that students experienced various positive and negative emotions with different methods of content delivery. Furthermore, comparing the three methods revealed that the Kahoot method elicited the highest average of positive emotions among students compared to the other two methods. This difference can be attributed to the visual attractiveness and interactive nature of the Kahoot environment. Additionally, this study highlights that simply incorporating multimedia materials, such as PowerPoint presentations and videos, is not sufficient to enhance effectiveness and cultivate positive emotions in e-learning. While multimedia materials serve as supportive tools and enhance visualization, interaction at various levels (content, teacher, peers, etc.) is necessary. Nevertheless, the significance of this research lies in the innovative application of a tool for analyzing emotions in online learning classrooms, thereby enhancing the measurement of genuine and objective emotional responses in e-learning environments.
[full article @ journal’s homepage]
[full article @ ResearchGate]
Reference: Sahraie, F., Rezvanfar, A., Movahedmohammadi, S. H., Ebner, M., Alambeigi, A., & Farrokhnia, M. (2024). Analysis of Learners’ Emotions in E-Learning Environments Based on Cognitive Sciences. International Journal of Interactive Mobile Technologies (iJIM), 18(07), pp. 34–52. https://doi.org/10.3991/ijim.v18i07.48471