News

New Pub: Digital self-control interventions for distracting media multitasking – A systematic review

New Pub: Digital self-control interventions for distracting media multitasking – A systematic review

General education, Journal, Open access, Publication
Digital distractions can interfere with goal attainment and lead to undesirable habits that are hard to get red rid of. Various digital self-control interventions promise support to alleviate the negative impact of digital distractions. These interventions use different approaches, such as the blocking of apps and websites, goal setting, or visualizations of device usage statistics. While many apps and browser extensions make use of these features, little is known about their effectiveness. This systematic review synthesizes the current research to provide insights into the effectiveness of the different kinds of interventions. The interventions showed varying degrees of effectiveness, and especially interventions that relied purely on increasing the participants' awareness were barely effective. For those interventions that sanctioned the use of distractions, the current literature indicates that the sanctions have to…
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New Pub: A short history, emerging challenges and co-operation structures for Artificial Intelligence in education

New Pub: A short history, emerging challenges and co-operation structures for Artificial Intelligence in education

Artificial Intelligence, Higher Education, Journal, Lifelong Learning, Publication, School
To accompany the special issue in Artificial Intelligence and Education, this article presents a short history of research in the field and summarises emerging challenges. We highlight key paradigm shifts that are becoming possible but also the need to pay attention to theory, implementation and pedagogy while adhering to ethical principles. We conclude by drawing attention to international co-operation structures in the field that can support the interdiscipniary perspectives and methods required to undertake research in the area. Reference: Mavrikis, M., Cukurova, M.,  Di Mitri, D., Schneider, J., & Drachsler, H. (2021). A short history, emerging challenges and co-operation structures for Artificial Intelligence in education. Bildung und Erziehung 2021 74:3, 249-263. https://doi.org/10.13109/buer.2021.74.3.249.
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EduTech team member finalist for Global Digital Female Leadership Award 2021

EduTech team member finalist for Global Digital Female Leadership Award 2021

Award, Digitalisation, Event, Press
EduTech team member Dana Kube is participating in the "Global Digital Female Leadership 2021 Award" finals. "I think female visibility cannot be supported enough in digital companies and branches throughout the world, also in Germany. I am happy to be a part of the #DFLA21 and also to get to know other women* and their innovative projects. Thanks for your vote and support! It is great to be a part of this."  Have a look at the DFLA 2021 and vote here: https://journeytodiversity.de/finalists21/dana-kube/
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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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QE Webinar series moderated by DIPF

QE Webinar series moderated by DIPF

Further Education, General education, Higher Education, Lifelong Learning, School, Webinar
The monthly QE Webinar Series showcases emerging research and exciting new developments in Quantitative Ethnography. These one-hour events begin with a 30-minute presentation by scholars from the QE community, followed by 30 minutes of moderated discussion. Attendance is free and open to anyone who is interested! The DIPF is currently moderating a series of webinars of the Quantified Ethnography (QE) community as pre-events to the QE conference taking place in October. So far we have been discussing the following topics and the recording can be watched back: Putting the E in QE: How Quantitative Ethnography can Enrich Qualitative Analyses Yotam Hod University of Haifa QE Data ChallengeField Report: Reflecting on the benefits of multidisciplinary research teams Daniel Spikol University of Copenhagen, DK Barbara Wasson University of Bergen, Norway Stefano Schiavetto…
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Gianluca Romano joins the team

Gianluca Romano joins the team

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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Fernando P. Cardenas-Hernandez joins the team

Fernando P. Cardenas-Hernandez joins the team

Multimodal Learning Analytics, Project, Team
Starting 1st July 2021, Fernando P. Cardenas-Hernandez joins the team as a doctoral researcher.  He earned his Master’s degree in Microsystems from the University of Freiburg. After his graduation, he worked as a software engineer in different companies. Some of his previous projects made use of microcontrollers, SBCs and thermal & industrial cameras. He is currently involved in the MILKI-PSY project.
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New Pub: Literature Review on Co-Located Collaboration Modeling Using Multimodal Learning Analytics—Can We Go the Whole Nine Yards?

New Pub: Literature Review on Co-Located Collaboration Modeling Using Multimodal Learning Analytics—Can We Go the Whole Nine Yards?

General education, Journal, Literature review, Multimodal Learning Analytics, Open access, Publication
Collaboration is one of the important 21st-century skills. It can take place in remote or co-located settings. Co-located collaboration (CC) is a very complex process that involves subtle human interactions that can be described with indicators like eye gaze, speaking time, pitch, and social skills from different modalities. With the advent of sensors, multimodal learning analytics has gained momentum to detect CC quality. Indicators (or low-level events) can be used to detect CC quality with the help of measurable markers (i.e., indexes composed of one or more indicators) which give the high-level collaboration process definition. However, this understanding is incomplete without considering the scenarios (such as problem solving or meetings) of CC. The scenario of CC affects the set of indicators considered: for instance, in collaborative programming, grabbing the mouse…
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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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Telekom Report AI@School – Teaching and Learning with Artificial Intelligence

Telekom Report AI@School – Teaching and Learning with Artificial Intelligence

Project, Publication, Report
Many modern educational technologies already contain aspects of artificial intelligence (AI) - in applications for school organisation as well as for teaching and testing and for learning and practising. Examples are learning platforms or learning apps that adapt the task programme to the learner's competence profile But where do AI-supported, learning-promoting applications currently stand in their development? What already exists? What are the potentials, challenges and risks in this field? How far along are other countries in their development? The Deutsche Telekom Foundation and its partners are investigating these questions. For example, the mmb Institute, in cooperation with the German Research Centre for Artificial Intelligence (DFKI) and the Leibniz Institute for Human Development and Educational Information (DIPF), has prepared a market and trend analysis. For this purpose, the study's authors…
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