Ioana Jivet joins the team

Ioana Jivet joins the team

Artificial Intelligence, Higher Education, Learning Analytics, Learning Design, Team
Ioana Jivet is Associate Researcher at EduTech group at DIPF Leibniz Institute for Research and Information in Education. Ioana obtained her Masters degree in Computer Science in 2016 from the TU Delft and then pursued a PhD at the Open University of the Netherlands which she obtained in March 2021 Cum Laude. Her research focused on designing learner-facing learning analytics dashboards that foster the development of self-regulated learning skills. Over the past years, she has contributed to Competen-SEA, a capacity building project in South-East Asia around MOOCs, and SHEILA, a research project that investigated the adoption of learning analytics in European higher education institutions and built a policy development framework for HEIs to facilitate adoption. At the moment, Ioana is serving on the Executive Committee of the Society of Learning…
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New Pub: Are We There Yet? – A Systematic Literature Review on Chatbots in Education

New Pub: Are We There Yet? – A Systematic Literature Review on Chatbots in Education

Artificial Intelligence, General education, Journal, Learning Analytics, Literature review, Open access, Publication
Are We There Yet? - A Systematic Literature Review on Chatbots in Education Chatbots are a promising technology with the potential to enhance workplaces and everyday life. In terms of scalability and accessibility, they also offer unique possibilities as communication and information tools for digital learning. In this work, we present a systematic literature review investigating the areas of education where chatbots have already been applied, explore the pedagogical roles of chatbots, the use of chatbots for mentoring purposes, and their potential to personalize education. We conducted a preliminary analysis of 2,678 publications to perform this literature review, which allowed us to identify 74 relevant publications for chatbots’ application in education. Through this, we address five research questions that, together, allow us to explore the current state-of-the-art of this educational…
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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

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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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

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

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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Dr Daniele Di Mitri elected AI Newcomer 2021

Dr Daniele Di Mitri elected AI Newcomer 2021

Artificial Intelligence, Award, General education, Multimodal Learning Analytics
Dr. Daniele Di Mitri is the AI Newcomer 2021 of the category Humanities and Social Sciences at the KI Camp 2021 organised by the German Informatics Society and the German Federal Ministry of Education. His research is oriented towards the question: how can we best interface artificial intelligence applications with humans to ultimately support human learning, support their goal achievement and boost human productivity? "The only function for which is AI is currently used in higher education is plagiarism check. There is a lot more that AI can do for education. I can imagine realistic application scenario both at primary school, with intelligent tutors via playful interfaces can engage students both individually and in group in learning concepts as geometry, geography, algebra, history, physics." - Daniele Di Mitri, PhD Here the name…
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Workshop on Multimodal Artificial Intelligence in Education (MAIEd’21) 

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

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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KI@Schule – Virtueller Expert*innen-Workshop

KI@Schule – Virtueller Expert*innen-Workshop

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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Künstliche Intelligenz füttert natürliche Gehirne

Künstliche Intelligenz füttert natürliche Gehirne

Artificial Intelligence, General education, Press
Interview originally published on leibniz-gemeinschaft.de  written by Christoph Herbort-von Loeper. **  English version below ** Künstliche Intelligenz füttert natürliche Gehirne Der Leibniz-Forscher Daniele Di Mitri bewirbt sich als KI-Newcomer 2021. Stimmen Sie für ihn ab! 17.02.2021 Wie kann Künstliche Intelligenz in der Bildung eingesetzt werden? Damit beschäftigt sich Daniele Di Mitri am DIPF | Leibniz-Institut für Bildungsforschung und Bildungsinformation. Ein Gespräch über Lernen auf Distanz, digitalen Unterricht über Videokonferenzen hinaus und warum wir Künstliche Intelligenz nicht nur dafür nutzen sollten, uns die passenden Filme oder Werbung anzeigen zu lassen. Daniele Di Mitri bewirbt sich aktuell als KI-Newcomer 2021, einer Aktion der Gesellschaft für Informatik. Hier können Sie bis zum 7. März für ihn abstimmen: http://kicamp.org/en/ai-newcomers Digitalisierung in der Bildung ist gerade in der Pandemie ein heiß diskutiertes Thema. Dabei geht…
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New Pub: Beitrag zu Buch: Digitale Bildung und Künstliche Intelligenz in Deutschland

New Pub: Beitrag zu Buch: Digitale Bildung und Künstliche Intelligenz in Deutschland

Artificial Intelligence, Multimodal Learning Analytics, Publication
Das Buch "Digitale Bildung und Künstliche Intelligenz in Deutschland" mit unserem Kapitel "Der multimodale Lern-Hub: Ein Werkzeug zur Sammlung individualisierbarer und sensorgestützter multimodaler Lernerfahrungen" wurde veröffentlicht. In diesem Kapitel wird ein Tool vorgestellt, mit dem Forscher anpassbare Prototypen erstellen können, um Lernaufgaben mithilfe multimodaler Daten zu untersuchen. References: Schneider, J., Di Mitri, D., Limbu, B., & Drachsler, H. (2020). Der multimodale Lern-Hub: Ein Werkzeug zur Erfassung individualisierbarer und sensorgestützter multimodaler Lernerfahrungen. In Digitale Bildung und Künstliche Intelligenz in Deutschland (pp. 537-557). Springer, Wiesbaden.
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