Workshop @ JTELSS – “We can’t stop communicating – AI can help us to use this data for education”

Workshop @ JTELSS – “We can’t stop communicating – AI can help us to use this data for education”

Summer School, Workshop
At the 17th EATEL Summer School on Technology-Enhanced Learning (JTELSS 2023) in La Manga, Spain, Nina Mouhammad and Stefan Hummel conducted the workshop "We can't stop communicating - AI can help us to use this data for education." The workshop emphasized the importance of incorporating both verbal and nonverbal communication signals in technology-enhanced learning applications. Various examples highlighting successful implementations were discussed. The participants were divided into two groups to explore nonverbal and verbal communication, respectively. After engaging discussions, interactions and also prototype testing, the groups swapped to gain insights from both perspectives. To conclude the workshop on a creative note, participants formed small groups and designed either the worst presentation skills training app imaginable or a product box for a presentation skills training robot. This exercise sparked laughter while…
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New pub: Measuring Collaboration Quality Through Audio Data and Learning Analytics

New pub: Measuring Collaboration Quality Through Audio Data and Learning Analytics

Book chapter, Computer-supported collaborative learning, Learning Analytics, Multimodal Learning Analytics
In the rapidly evolving twenty-first century, collaboration stands as a vital skill. Recognizing its significance, the detection of collaboration quality can play a pivotal role in fostering effective teamwork. This newly published chapter dives into the realm of collaboration quality detection and measurement, aiming to achieve the following objectives: Defining collaboration quality by leveraging audio data and unobtrusive learning analytics measures. Detailing the design of a sensor-based setup specifically tailored for automatic collaboration analytics. Advancing the quantification of collaboration quality through the utilization of this setup and presenting the analysis using insightful visualizations. Moreover, the chapter delves into the challenges and issues at hand while exploring potential solutions that build upon existing research. To elucidate the various objectives, the terminology of "indicators" (i.e., the events) and "indexes" (i.e., the process)…
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GREAT Project Presentations at Int. Conf. of Young Scientists, 2023

GREAT Project Presentations at Int. Conf. of Young Scientists, 2023

Conference, Project
Horizon Europe & UKRI #GREATProjectGG  "Games Realising Effective and Affective Transformation"  dissemination activities were underway at the International Conference of Young Scientists, held in conjunction with the Global Young Academy Annual General Meeting, Kigali, Rwanda, 5-9 June, 2023. As part of the Science Education for Youth workshop, Jane shared the project with Global Young Academy members and also external guests. Jane also gave a lightning talk to a larger audience in the main session of the conference. Follow on Twitter for more updates: @GREATProjectGG
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New pub: Lernpfade in adaptiven und künstlich-intelligenten Lernprogramme

New pub: Lernpfade in adaptiven und künstlich-intelligenten Lernprogramme

Artificial Intelligence, Book chapter, Learning Analytics, Research Methods
In this newly published book chapter, the authors delve into the comparison between interactive, adaptive and artificially intelligent learning programs. While adaptive and AI-based applications offer promising potential, they face greater complexity in their development and have yet to fully establish themselves. To evaluate the prospects of these technologies, their respective capabilities are explored. Adaptive learning programs prove effective in skill acquisition, while AI-based solutions shine in cases where an explicit expertise model is challenging to articulate. The didactic and pedagogical challenges that lie ahead for AI-based learning applications are also highlight. By examining these factors, valuable insights are gained into the landscape of advanced learning technologies and their future implications. Reference: Kerres, M., Buntins, K., Buchner, J., Drachsler, H., & Zawacki-Richter, O.. (In Press). Lernpfade in adaptiven und künstlich-intelligenten…
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New pub: Evaluating the Impact of FoLA on Learning Analytics Knowledge Creation

New pub: Evaluating the Impact of FoLA on Learning Analytics Knowledge Creation

Journal, Learning Analytics, Learning Design, Publication, Research Methods, Research topic, Special Issue
Learning analytics provides opportunities to improve the design of learning activities by supplying information on the effects of different learning approaches. Despite the existence of design methods that aim to facilitate the incorporation of learning analytics into learning design, there is a lack of research assessing their efficacy. This study aims to evaluate the effectiveness of the FoLA2 method. In higher education settings, sixty participants utilized the FoLA2 method to develop fourteen learning activities. To gauge the impact, participants completed a technology acceptance test before and after each session. Furthermore, researchers analyzed audio recordings of the sessions using epistemic network analysis to gain insights into the discussions regarding learning analytics and the creation of enhanced learning activities. The results from both the technology acceptance test and the epistemic network analysis…
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New pub: Digitalisierung und Diagnostik in Schulen – Herausforderungen für Bildungspraxis und Bildungsforschung

New pub: Digitalisierung und Diagnostik in Schulen – Herausforderungen für Bildungspraxis und Bildungsforschung

Assessment, Book chapter, Computational Psychometrics, Digitalisation, Learning Analytics, Research Methods, Research topic, School
In the spring of 2020, schools faced an unprecedented challenge as the pandemic disrupted traditional modes of instruction and school development. With on-site learning replaced by digital formats and distance communication, educators had to quickly adapt to the new normal. Amidst these changes, the field of education encountered specific challenges related to digital school management, digital learning, and assessing learning progress. Particularly, computer-aided diagnostics emerged as a valuable tool for gaining insights not only into learning outcomes but also into the learning process itself. Researchers became intrigued by the potential of digital media in shaping learning experiences and how the resulting data could be effectively utilized in educational practice. This paper explores the current challenges and potentials in computer-based, learning-accompanying diagnostics. The primary hurdles involve implementing suitable instruments within schools…
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