SoLAR webinar on: Investigating persistent and new challenges of learning analytics

SoLAR webinar on: Investigating persistent and new challenges of learning analytics

July 6, 2021
Artificial Intelligence, Computational Psychometrics, Higher Education, Keynote, Learning Analytics, Learning Design, Multimodal Learning Analytics, School, Workshop
On 29 June 2021, Hendrik Drachsler gave an invited webinar for the SoLAR webinar channel where he reflected the process of applying learning analytics solutions within higher education settings and schools, its implications, and the critical lessons learned in the Trusted Learning Research Program. The talk focused on the experience of edutec.science research collective consisting of researchers from the Netherlands and Germany that contribute to the Trusted Learning Analytics (TLA) research program. The TLA program aims to provide actionable and supportive feedback to students and stands in the tradition of human-centred learning analytics concepts.  It, therefore, applies sensor technology to support psychomotor as well as web technology to support meta-cognitive and collaborative learning skills with high-informative feedback methods. Hendrik applies validated measurement instruments from the field of psychometric and investigates…
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Kickoff: HELA – Improving HEI maturity to implement learning analytics

Kickoff: HELA – Improving HEI maturity to implement learning analytics

June 15, 2021
Digitalisation, Learning Analytics, Project, School
In February 2021, the Croatian Science Foundation (HRZZ) approved funding of the research project "HELA - Improving HEI maturity to implement learning analytics" that will be implemented during the next 4 years at the Faculty of Organization and Informatics (FOI), University of Zagreb under the leadership of Full Prof. Nina Begičević Ređep, PhD The project, which started with its activities on March 1, 2021, will be financed by the HRZZ in the total amount of 776,230.00 HRK. The purpose of this research project is to contribute to a better understanding and optimization of the teaching and learning processes supported by LA through improving HEI maturity to implement LA. The expected impact of the research will be reflected in faster implementation of learning analytics in higher education, improved evidence-based strategic decision-making and…
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KI@Schule – Virtueller Expert*innen-Workshop

KI@Schule – Virtueller Expert*innen-Workshop

February 25, 2021
Artificial Intelligence, Learning Analytics, Project, School, Workshop
Prof. Dr. Hendrik Drachsler wurde von der Deutschen Telekom-Stiftung mit 15 weiteren Expert*innen zum virtuellen Workshop „KI@Schule – Zwischen Wunsch und Wahrscheinlichkeit“ am 25. Februar 2021 eingeladen, um die Befunde der Trend- und Zukunftsstudie „Künstliche Intelligenz in der schulischen Bildung“ zu diskutieren. Prof. Dr Hendrik Drachsler and 15 other experts were invited by the Deutsche Telekom Foundation to the virtual workshop "KI@Schule - Zwischen Wunsch und Wahrscheinlichkeit" on 25 February 2021 to discuss the findings of the trend and future study "Künstliche Intelligenz in der schulischen Bildung".
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NEW Newsletter and Update on AR4STEAM

NEW Newsletter and Update on AR4STEAM

February 15, 2021
Augmented Reality, Digitalisation, Project, Publication, Report, School
AR4STE(A)M Newsletter 2 We have the pleasure to update you by this Newsletter with advance made in our project, which is designed to provide attractive means and ways  to improve current technological methods, encouraging STEAM education. Joining us, you will find in our publications a lot of useful information, tips and new opportunities for modern and effective teaching.
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New Pub: Understanding Graph Problem solving with the use of Eye-tracking and Epistemic Network Analysis

New Pub: Understanding Graph Problem solving with the use of Eye-tracking and Epistemic Network Analysis

December 4, 2020
Journal, Multimodal Learning Analytics, Open access, Publication, School
Epistemic Network Analyses of Economics Students’ Graph Understanding: An Eye-Tracking Study Learning to solve graph tasks is one of the key prerequisites of acquiring domain-specific knowledge in most study domains. Analyses of graph understanding often use eye-tracking and focus on analyzing how much time students spend gazing at particular areas of a graph—Areas of Interest (AOIs). To gain a deeper insight into students’ task-solving process, we argue that the gaze shifts between students’ fixations on different AOIs (so-termed transitions) also need to be included in holistic analyses of graph understanding that consider the importance of transitions for the task-solving process. Thus, we introduced Epistemic Network Analysis (ENA) as a novel approach to analyze eye-tracking data of 23 university students who solved eight multiple-choice graph tasks in physics and economics. ENA…
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