Seasons Greetings and Thanks for a great 2022

Seasons Greetings and Thanks for a great 2022

Team
As the year 2022 nears its end, we take a few moments to reflect on what the year has brought us. Throughout the year we have had the pleasure of meeting people who have enriched our (research) lives: our 2 visiting guest researchers Josè Aznarte and Andrea Zanellati, our intern Lukas Menzel and our 2 new colleagues Stefan Hummel and Nina Mouhammad. Besides having guests, some team members were also guests themselves, for example Daniele Di Mitri who was a guest researcher in the USA. During the year the AR4STEAM project ended successfully and we started 2 new projects ML2MT and HyTea. We took part in around 20 events over the year, published 8 conference papers, 13 journal papers and 2 book chapters. We took part in 3 interviews and…
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HILA Keynote @ CEL annual meeting

HILA Keynote @ CEL annual meeting

Conference, Feedback, Higher Education, Invited talk, Keynote, Learning Analytics, Learning Design, Transfer Activity
Hendrik Drachsler gave a keynote @ the LDE CEL Annual Meeting under the theme ‘Developing a Culture of Learning Analytics'. Hendrik summarized the achievements of the Highly Informative and Learning Analytics (HILA) research program, that is the successor of the Trusted Learning Analytics research program conducted in Frankfurt, Germany.  After two years of digital annual meetings, finally CEL could invite again to their annual meeting 2022 at the CEL Teaching Lab. Among keynotes from Simon Buckingham Shum (University of Technology Sydney), and Alyssa Friend Wise (New York University), Hendrik presented the latest research outcomes on Highly Informative and Learning Analytics (HILA) research program. Highly informative and competency-based feedback is costly and can be best given in small teacher-to-learner settings. According to research, feedback has a powerful effect on learning success;…
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New Pub: Causal Inference and Bias in Learning Analytics

New Pub: Causal Inference and Bias in Learning Analytics

Journal, Learning Analytics, Literature review, Open access, Publication, Research Methods
Learning Analytics is an applied field of research with the goal of producing actionable knowledge to improve student learning. This requires knowledge about cause-and-effect. However, randomized experiments, the usual vehicle for causality, are not always feasible nor desirable. Researchers are then left with observational data, from which they are, understandably, hesitant to draw causal inferences. Fortunately, there has been a lot of progress on the topic of causality in the last two decades. One prominent framework uses Directed Acyclic Graphs (DAGs) to graphically reason about cause-and-effect and/or bias. This primer, authored by Joshua Weidlich, Dragan Gasevic, and Hendrik Drachsler, published in the Journal of Learning Analytics, introduces DAGs to Learning Analytics.  Using fictitious and published examples, we show how DAGs are a principled approach to a) improve causal inferences for…
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Podcast “FutureSchool”: Child reporter talks with Scientist about Educational Technologies

Podcast “FutureSchool”: Child reporter talks with Scientist about Educational Technologies

Artificial Intelligence, Augmented Reality, Competence development, Computer-supported collaborative learning, Digitalisation, Event, Feedback, Invited talk, Promotion activity, Robots in Education, School, Transfer Activity
The German podcast "FutureSchool" looks at the classroom of the future and which technical aids for learning could be conceivable, but are also already being developed. Luis and DIPF education expert and our colleague Dana Kube consider together where technology is superior to teachers and when, in turn, teachers are unbeatable as real people with real experiences: https://blog.bildungsserver.de/klassenzimmer-der-zukunft/ The three-part podcast "FutureSchool" was created as part of the BMBF project "enorM - Lernen von (ÜBER)MORGEN". In the project, which is part of the "Science Year 2022 - Inquired about!", pupils and researchers have exchanged ideas in numerous formats, for example about new subjects and digital learning support.
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Invited talks about providing feedback with learning analytics

Invited talks about providing feedback with learning analytics

Assessment, Feedback, General education, Invited talk, Learning Analytics, Self-Regulation
In the month of November, Ioana Jivet was invited to share her work on two occasions. The first was an invited lecture in the course FDH3006 Introduction to Learning Analytics part of a PhD Program at KTH Stockholm in collaboration with the University of Bergen, Norway and the University of Copenhagen, Denmark. The talk covered the topic of "Generating highly informative feedback with learning analytics" and addressed the question of how we can design effective feedback to students in online environments using learning analytics. The second talk was given as part of the event 100 DAYS OF... Data for Learning organised by the Centre for Education and Learning at TU Delft. The presentation covered the topic of student facing-learning analytics and goal setting. The talk was recorded and is available…
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