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?

July 21, 2021
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

July 15, 2021
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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New Pub: Towards Automatic Collaboration Analytics for Group Speech Data Using Multimodal Learning Analytics

New Pub: Towards Automatic Collaboration Analytics for Group Speech Data Using Multimodal Learning Analytics

May 3, 2021
General education, Journal, Multimodal Learning Analytics, Open access, Publication
Collaboration is an important 21st Century skill. Co-located (or face-to-face) collaboration (CC) analytics gained momentum with the advent of sensor technology. Most of these works have used the audio modality to detect the quality of CC. The CC quality can be detected from simple indicators of collaboration such as total speaking time or complex indicators like synchrony in the rise and fall of the average pitch. Most studies in the past focused on “how group members talk” (i.e., spectral, temporal features of audio like pitch) and not “what they talk”. The “what” of the conversations is more overt contrary to the “how” of the conversations. Very few studies studied “what” group members talk about, and these studies were lab based showing a representative overview of specific words as topic clusters…
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Dr Daniele Di Mitri elected AI Newcomer 2021

Dr Daniele Di Mitri elected AI Newcomer 2021

April 27, 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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Künstliche Intelligenz füttert natürliche Gehirne

Künstliche Intelligenz füttert natürliche Gehirne

February 17, 2021
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: Learning Analytics Cookbook – How to Support Learning Processes Through Data Analytics and Visualization

New Pub: Learning Analytics Cookbook – How to Support Learning Processes Through Data Analytics and Visualization

August 1, 2020
General education, Learning Analytics, Publication
This book offers an introduction and hands-on examples that demonstrate how Learning Analytics (LA) can be used to enhance digital learning, teaching and training at various levels. While the majority of existing literature on the subject focuses on its application at large corporations, this book develops and showcases approaches that bring LA closer to smaller organizations, and to educational institutions that lack sufficient resources to implement a full-fledged LA infrastructure. In closing, the book introduces a set of software tools for data analytics and visualization, and explains how they can be employed in several LA scenarios. Reference: Jaakonmäki, R., vom Brocke, J., Dietze, S., Drachsler, H., Fortenbacher, A., Helbig, R., Kickmeier-Rust, M., Marenzi, I., Fernández, Á.S., Yun, H. (2020). Learning Analytics Cookbook - How to Support Learning Processes Through Data Analytics and Visualization. SpringerBriefs in Business Process Management, XI, 93, DOI: 10.1007/978-3-030-43377-2,…
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