Gianluca Romano joins the team

Gianluca Romano joins the team

July 28, 2021
Higher Education, Multimodal Learning Analytics, Team
Starting July 2021, Gianluca Romano joins the team as a doctoral researcher. He holds a Master's as well as a Bachelor's degree in Computer Science from the Goethe University Frankfurt. He finished his study with a thesis on an Intelligent Tutoring System for dancing which was also published in an online journal. Further, he has experience as an AI Engineer and currently is also employed as a Machine Learning Engineer.
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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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New Pub: An exploratory latent class analysis of student expectations towards learning analytics services

New Pub: An exploratory latent class analysis of student expectations towards learning analytics services

June 29, 2021
Empirical Study, Higher Education, Open access, Publication
For service implementations to be widely adopted, it is necessary for the expectations of the key stakeholders to be considered. Failure to do so may lead to services reflecting ideological gaps, which will inadvertently create dissatisfaction among its users. Learning analytics research has begun to recognise the importance of understanding the student perspective towards the services that could be potentially offered; however, student engagement remains low. Furthermore, there has been no attempt to explore whether students can be segmented into different groups based on their expectations towards learning analytics services. In doing so, it allows for a greater understanding of what is and is not expected from learning analytics services within a sample of students. The current exploratory work addresses this limitation by using the three-step approach to latent class…
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Kickoff Meeting of HICOF-DL – Highly Informative and Competence-based Feedback for Digital Learning

Kickoff Meeting of HICOF-DL – Highly Informative and Competence-based Feedback for Digital Learning

June 1, 2021
Computational Psychometrics, Higher Education, Learning Analytics, Project
Currently, almost all students learn only digitally at home, because in the wake of the COVID 19 pandemic, universities have largely converted their teaching to online courses. But the virtual lectures and seminars often still lack individual feedback for learners. A new project conducted by the DIPF | Leibniz Institute for Human Development and Educational Information and the Goethe University Frankfurt aims to change that. The researchers want to develop a software tool that uses modern, automated evaluation methods to help provide accurate feedback. Derzeit lernen fast alle Studierenden nur digital zu Hause, denn im Zuge der COVID-19-Pandemie haben die Hochschulen ihren Lehrbetrieb größtenteils auf Online-Veranstaltungen umgestellt. Doch den virtuellen Vorlesungen und Seminaren mangelt es häufig noch an individuellen Rückmeldungen für die Lernenden. Ein neues, vom DIPF | Leibniz-Institut für…
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Meine KI-Forschung hilft dabei, produktive Lernverläufe zu identifizieren und Kompetenzen zu verbessern

Meine KI-Forschung hilft dabei, produktive Lernverläufe zu identifizieren und Kompetenzen zu verbessern

May 29, 2021
Artificial Intelligence, Higher Education, Multimodal Learning Analytics, Press
[This article appeared on bildungsserver.de and it was written by Christine Schumann for Deutscher Bildungsserver] Wie bei digitalen Lerneinheiten entstehende Daten für personalisiertes Feedback genutzt werden können. FRAGEN AN Daniele Di Mitri, der im April 2021 in der Kategorie Geistes- und Sozialwissenschaften zum AI-Newcomer des Jahres gewählt wurde. Am DIPF | Leibniz-Institut baut er gerade eine Forschungsgruppe zum Thema Künstliche Intelligenz auf, um verantwortungsvolle KI-Systeme für die Bildung zu entwickeln. Zurzeit konzentrieren sich seine Arbeiten auf praktische Lernaufgaben – und nicht auf allgemeine Lernsituationen im Klassenzimmer. Herr Di Mitri, sind Sie stolz auf Ihre Auszeichnung als „AI Newcomer“ des Jahres 2021? Ja, ich bin begeistert, dass ich im Rahmen des KI-Camps zum „AI Newcomer of 2021“ gewählt wurde. Das KI-Camp ist das nationale Event in Deutschland zur Künstlichen Intelligenz, das das Bundesministerium für…
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Interview for Hessischer Rundfunk

Interview for Hessischer Rundfunk

May 20, 2021
Artificial Intelligence, Higher Education, Multimodal Learning Analytics, Press
Dr. Draniele Di Mitri was interviewed (in German) by Hessischer Rundfunk by Alexander Schmitt. The theme of the episode was: Artificial intelligence is penetrating deeper and deeper into our lives: we talk to computers, rely on their search results and will soon be driven by robot cars. The revolution is just beginning. What are young research talents in Hesse working on? [audio mp3="https://edutec.science/wp-content/uploads/2021/05/hr-info_wirtschaft_20210512_87919984-AudioTrimmer.com_.mp3"][/audio] Listen to the entire episode  Below the answer to the questions translated into English: *** You are interested in education and in technology - is it related to your parents? Yes, I believe I inherited my two main passions from my parents. My father was a first-generation software engineer and my mother was a teacher. In my teenage years, my father showed me how to create a…
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Workshop on Multimodal Artificial Intelligence in Education (MAIEd’21) 

Workshop on Multimodal Artificial Intelligence in Education (MAIEd’21) 

April 18, 2021
Artificial Intelligence, Higher Education, Multimodal Learning Analytics, Workshop
1st International Workshop on Multimodal Artificial Intelligence in Education (MAIEd'21)  @ the 22nd International Conference on Artificial Intelligence in Education (AIED’2021) https://aied2021.science.uu.nl/ 14th June 2021, 9 am to 4 pm CET online workshop Website: https://maied.edutec.science/ - Proceedings to be published by CEUR (more…)
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Best Paper award @LAK21 – Quantum of Choice

Best Paper award @LAK21 – Quantum of Choice

April 16, 2021
Award, Conference, Empirical Study, Higher Education, Learning Analytics, Open access, Publication
Learning analytics dashboards (LADs) are designed as feedback tools for learners, but until recently, learners rarely have had a say in how LADs are designed and what information they receive through LADs. To overcome this shortcoming, we have developed a customisable LAD for Coursera MOOCs on which learners can set goals and choose indicators to monitor. Following a mixed-methods approach, we analyse 401 learners’ indicator selection behaviour in order to understand the decisions they make on the LAD and whether learner goals and self-regulated learning skills influence these decisions. We found that learners overwhelmingly chose indicators about completed activities. Goals are not associated with indicator selection behaviour, while help-seeking skills predict learners’ choice of monitoring their engagement in discussions and time management skills predict learners’ interest in procrastination indicators. The…
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New E+ project RAPIDE – Relevant assessment and pedagogies for inclusive digital education

New E+ project RAPIDE – Relevant assessment and pedagogies for inclusive digital education

March 10, 2021
Higher Education, Learning Analytics, Press, Project
The European strategic project in higher education titled RAPIDE- Relevant assessment and pedagogies for inclusive digital education starts on Monday, March 1st 2021. The project, coordinated by the Faculty of Organization and Informatics (FOI) of the University of Zagreb, is the 24-month project funded under the Erasmus + program of the European Commission in the total amount of 219,085 euros. The goal of this  project is to co-create, implement and share innovative pedagogies and aligned assessment for relevant and inclusive digital education in order to deal with the COVID-19 induced and similar crises and to support meaningful digital transformation of higher education in (post)COVID era. The kick-off meeting of the project team including the coordinator and project partners - School of Medicine of the University of Zagreb, University of Rijeka,…
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Kickoff Meeting: MILKY-PSY – Multimodal Immersive Learning with Artificial Intelligence for Psychomotor Skills

Kickoff Meeting: MILKY-PSY – Multimodal Immersive Learning with Artificial Intelligence for Psychomotor Skills

March 5, 2021
Digitalisation, Higher Education, Multimodal Learning Analytics, Project
Those who want to learn a sport train new psychomotor skills. Until now, this has required role models such as teachers on site who explain, demonstrate and assess certain processes. A consortium around the Cologne Game Lab of the TH Köln is developing a learning environment with artificial intelligence (AI) to support the training process as part of the joint research project MILKI-PSY.   Wer eine Sportart erlernen will, trainiert neue psychomotorische Fähigkeiten. Bislang werden dafür Vorbilder wie Lehrerinnen und Lehrer vor Ort benötigt, die bestimmte Abläufe erklären, zeigen und beurteilen. Ein Konsortium um das Cologne Game Lab der TH Köln entwickelt im Rahmen des Verbundforschungsprojekts MILKI-PSY eine Lernumgebung mit künstlicher Intelligenz (KI), die den Trainingsprozess unterstützen soll. Künstlerische, sportliche und handwerkliche Tätigkeiten erfordern psychomotorische Fähigkeiten, bei denen körperliche Bewegungen mit…
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