Digitale Lehre an und rund um der Technischen Universität Graz
We redone our folder „Seven teaching and learning scenarios with MOOCs | Sieben Lehr—und Lernszenarien mit MOOCs“ and added another scenario because it is becoming increasingly important.
You can download the folder from our repository on both languages – English and German:
[Eight teaching and learning scenarios with MOOCs]
[Acht Lehr- und Lernszenarien mit MOOCs]
Our publication, „Promotion of Emotional Learning in Technical and Social Domains: A Systematic Review, “ was published.
Abstract:
Different learning approaches and new Learning Environment Systems (LES) are evolving rapidly these days and are designed by taking more and more individual skills and personal characteristics and preferences into account. Also Emotional Learning is gaining more importance when it comes to different learning environments in the technical domain as well as in the social context. Emotional Learning can help to support the overall engagement in learning and approaching learning achievements significantly. This paper should give some deeper insights into Emotional Learning, which possibilities exist to support it in a meaningful way and how feedback of emotional states can be obtained in Learning Environment Systems in higher education. For this purpose a literature review was chosen as the underlying research method to explore and find the necessary answers in various scientific articles, encyclopedias and relevant conference papers from different sources. The outcome will show different state-of-the-art approaches and tools to promote Emotional Learning and how to incorporate emotional learning support in Learning Environments.
[article @ publisher’s homepage]
[draft @ ResearchGate]
Reference: Struger, P., Brünner, B., Ebner, M. (2024). Promotion of Emotional Learning in Technical and Social Domains: A Systematic Review. In: Zaphiris, P., Ioannou, A. (eds) Learning and Collaboration Technologies. HCII 2024. Lecture Notes in Computer Science, vol 14723. Springer, Cham. https://doi.org/10.1007/978-3-031-61685-3_18
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
Our research together with the University of Malang about „Exploring the Utilization of Online Resources and Experiences in Language Learning – A Study of Indonesian Students Learning German as a Foreign Language“ at the EDMedia and Innovative Learning 2023 conference in Vienna is now online available – here you can find the slides:
Und noch ein MOOC-Start der Serie „Informatik Grundlagen Online“ und zwar von der Johannes-Kepler-Universität Linz und der TU Wien. Das Thema ist superspannend und topaktuell zu „Artificial Intelligence und Machine Learning„:
Du hast genug von all dem medialen Hype rund um Künstlicher Intelligenz, Machine Learning, ChatGPT, und Co.? Du willst endlich verstehen, was sich hinter diesen Buzzwörtern versteckt und den Mythos rund um Künstliche Intelligenz etwas entmystifizieren? Du bist interessiert an Informatik und belegst möglicherweise ein einschlägiges Studium?
Dann bist du bei uns genau richtig!
Willkommen zu unserem MOOC „Einführung in Artificial Intelligence & Machine Learning“!
In diesem Kurs werden wir uns mit den Begriffen der Künstlichen Intelligenz und Machine Learning auseinandersetzen und etwas tiefer in die Materie einsteigen. Wir beginnen mit einer Einführung in die Thematik und erläutern, was sich hinter den einzelnen Begriffen Artificial Intelligence, Machine Learning und Deep Learning versteckt, und worin sie sich unterscheiden. Du wirst alle notwendigen Grundlagen im Bereich Datenverarbeitung, Machine Learning und Evaluierung lernen. Außerdem erläutern wir dir eine Liste an „intelligenten“ Algorithmen für verschiedene Problemstellungen.
Im Zuge dieses Kurses wirst du deine eigenen Machine Learning Projekte umsetzen, beginnend bei der Datenanalyse und -verarbeitung bis hin zur Evaluierung deines eigenen Machine Learning Modells.
Bist du immer noch interessiert oder denkst dir „warum eigentlich nicht“? Dann starte den Kurs und los geht’s!
Mitmachen kann man wie immer vollkommen kostenlos und jederzeit: [Link zur kostenlosen Anmeldung]
Our publication „Mobile Gramabot: Development of a Chatbot App for Interactive German Grammar Learning“ got published in the International Journal of Emerging Technologien in Learning.
Abstract:
This study aims to develop the Gramabot application as a means of online learning during the pandemic and to examine its effectiveness as a medium for German grammar learning. The design-based research uses learning experience design methodology. Beside an introduction of the state of the art of chatbots for language learning, the paper describes the concept of the chatbot application and its evaluation. Prior experiences with chatbots, implementation experiences and evaluations insights were obtained from 36 Indonesian students with beginner level German language skills. The data were described using qualitative and simple descriptive statistical analysis. The results of the analysis show that most of the respondents are familiar with several chatbot applications, the use of chatbots is not as a learning medium, but as a means of asking questions about products. In addition, String Matching is a suitable method used to develop Gramabot. Based on the results of the evaluation, it can be concluded that Gramabot can help students understand basic level grammatical material.
[article @ journal’s homepage]
[article @ ResearchGate]
Reference: Kharis, M., Schön, S., Hidayat, E., Ardiansyah , R. ., & Ebner, M. (2022). Mobile Gramabot: Development of a Chatbot App for Interactive German Grammar Learning . International Journal of Emerging Technologies in Learning (iJET), 17(14), pp. 52–63. https://doi.org/10.3991/ijet.v17i14.31323
Issue 18(03) 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 🙂 .
I manged the section „Future of Learning“ for the book Learning with Technologies and Technologies in Learning:
This section deals with the “future of learning” and asked for contributions dealing with meta-studies ore forecasts. This is not a simple task because we all know from the pandemic that changes are unpredictable sometimes. Anyway, we are very happy that seven groups of researchers out of more than 23 proposals tried to give us insights to their research. Those 7 publications deal with different topics—meta studies, Social Interaction and communication, Open Educational Resources, Augmented and Virtual Reality.
[chapter @ book’s homepage]
[draft @ ResearchGate]
Rerference: Ebner, M. (2022). Introduction to ‘The Future of Learning’. In: Auer, M.E., Pester, A., May, D. (eds) Learning with Technologies and Technologies in Learning. Lecture Notes in Networks and Systems, vol 456. Springer, Cham. https://doi.org/10.1007/978-3-031-04286-7_1
Issue 17(22) 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 🙂 .
