[publication] Analysis of Learners’ Emotions in E-Learning Environments Based on Cognitive Sciences #research

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):

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

[presentation] Exploring the Utilization of Online Resources and Experiences in Language Learning – A Study of Indonesian Students Learning German as a Foreign Language #edil23 #language #OER #learning

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:

[slides @ ResearchGate]

[mooc] Artificial Intelligence und Machine Learning #ingo #imoox

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]

[publication] Mobile Gramabot: Development of a Chatbot App for Interactive German Grammar Learning #ijet #chatbot

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.

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

[ijet, journal] Journal of Emerging Technologies in Learning Vol. 18 / No.03 #ijet #research

Issue 18(03) of our journal on emerging technologies for learning got published. Enjoy the readings as usual for free :-).

Table of Contents:

  • Motivational Readiness of Future Teachers-Philologists to Use the Gamification with Elements of Augmented Reality in Education
  • Instructional Design According to the Repulsive Learning Model and its Impact on the Achievement of Chemistry and Lateral Thinking for Third-Grade Intermediate Students
  • The Role of Quizlet Learning Tool in Learners’ Lexical Retention: A Quasi-Experimental Study
  • Influence Mechanism of Structural Characteristics of Interdisciplinary Knowledge Network on College Students’ Innovation Ability
  • Social Robotics in Education: A Survey on Recent Studies and Applications
  • Analysis of Empathic Experiences in Video Games with Microblogging
  • Teaching Effect Analysis of the ‘Prefabricated Concrete Structure’ Course Based on Building Information Modeling
  • Recruitment of Teachers for Cooperative Education in Educational Institutions
  • Clustering Analysis of Online Teaching Cases and Evaluation of Teaching Results
  • Identifying the Essentials of Corporate MOOCs’ Application to the Leading Organizations
  • Collaborative Grouping and Interactive Relationship Construction of College Students Based on Group Preference
  • Reform and Practice of Project-Based Teaching Mode Based on Online Open Course Platform
  • Online Self-Assessment in Mathematics at the University of Bern
  • Running an Online Mathematics Examination with STACK
  • AuthOMath: Combining the Strengths of STACK and GeoGebra for School and Academic Mathematics

[Link to Issue 18/03]

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

[publication] Introduction to ‘The Future of Learning’ #education #book #chapter

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

[ijet, journal] Journal of Emerging Technologies in Learning Vol. 17 / No.22 #ijet #research

Issue 17(22) of our journal on emerging technologies for learning got published. Enjoy the readings as usual for free :-).

Table of Contents:

  • Automated Reading Detection in an Online Exam
  • Gamification for the Acquisition of Leadership Skills and Formation of Efficient Work Teams: An Interactive Workshop Based on an Analysis of the Film “The Seven Samurai”
  • Impact of the Flipped Classroom on the Motivation of Undergraduate Students of the Higher Institute of Nursing Professions and Health Techniques of Fez-Morocco
  • How do Students Perceive Artificial Intelligence in YouTube Educational Videos Selection? A Case Study of Al Ain City
  • Construction of Combined Teaching Evaluation System Based on STATA Analysis
  • On the Role of Social Media in Spanish Language Learning in Indian Context
  • Machine Learning-Based Evaluation of Information Literacy Enhancement among College Teachers
  • Analysis of Students’ Cognitive Presence and Perception in a Custom-Designed Virtual Problem Based Learning Assignment
  • The Attention of Students in Online Education
  • Online Course Learning Resource Recommendation Based on Difficulty Matching
  • Construction and Adjustment Methods for Teacher-Student Relationship in College Student Management Based on Big Data Analysis
  • Developing and Validating an Instrument to Measure Students’ Perceptions of the use of ICTs and Educational Technologies in Times of the COVID-19 Pandemic
  • Influence of the Affordance of Online Learning Platform Technology on the Entrepreneurial Behaviors of Students in Engineering and Technology Universities
  • Need Analysis for Higher Educational Institutions for using Virtual Reality-TESLA Project
  • Learning Cultural Spaces: A Collaborative Creation of a Virtual Art Museum Using Roblox
  • A Web-Based Recommendation System for Higher Education: SIDDATA

[Link to Issue 17/22]

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

[mooc] Start of Challenge Based Learning in Higher Education #imoox

We are happy to announce a new MOOC start with the title “Challenge Based Learning in Higher Education” of the University of Graz:

Challenge-based learning is an innovative active approach to teaching and learning which is comparatively new to higher education.
This MOOC helps you to develop competences needed to introduce challenge-based learning into your own teaching practice.

Here you can find the trailer:


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Participation is as usual completly free, so feel free to register and join: [Link to enroll to the course]