New Pub: Analysis of the “D’oh!” moments.

New Pub: Analysis of the “D’oh!” moments.

October 12, 2021
Artificial Intelligence, Conference, Conference, Further Education, Higher Education, Lifelong Learning, Multimodal Learning Analytics, Publication
“Soul and body, I suggest reacting sympathetically upon each other. A change in the state of the soul produces a change in the shape of the body and conversely, a change in the shape of the body produces a change in the state of the soul.” To test this hypothesis proposed by Aristotle, our bachelor student Tetiana Buraha investigated the physiology of students performing task-switching exercises. The physiological data were collected using an Empatica E4 band. The performances of the students were compared against the physiological data using descriptive statistics and machine learning techniques. The analysis of Tetiana enabled the identification of interesting correlations between galvanic skin response and performance, and models to predict performance based on the physiological data. Results of her excellent thesis were published and presented at…
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New Pub: Get your Back Straight!

New Pub: Get your Back Straight!

October 12, 2021
Conference, Conference, Game, Lifelong Learning, Multimodal Learning Analytics, Publication
“Mens sana in corpore sano” is a phrase that we all have heard multiple times in our life. We know all the positive effects of Sports and Exercise. However, let’s face it! Physical activity is not always fun and when doing it incorrectly without any guidance or feedback it is difficult to see improvements or even worse, we can face the risk of injury. To address these issues Anna Meik for her bachelor thesis developed the Pilates correction App. An application designed to support the practice of the “Kneeling Arm and Leg Reach” Pilates exercise in a gamified way, where the user helps a virtual rocket to reach high scores through the stability of their lower backs. Meik, A., Schneider, J., & Schiffner, D. (2021). Get your back straight! Learn…
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New Pub: Understanding Graph Problem solving with the use of Eye-tracking and Epistemic Network Analysis

New Pub: Understanding Graph Problem solving with the use of Eye-tracking and Epistemic Network Analysis

December 4, 2020
Journal, Multimodal Learning Analytics, Open access, Publication, School
Epistemic Network Analyses of Economics Students’ Graph Understanding: An Eye-Tracking Study Learning to solve graph tasks is one of the key prerequisites of acquiring domain-specific knowledge in most study domains. Analyses of graph understanding often use eye-tracking and focus on analyzing how much time students spend gazing at particular areas of a graph—Areas of Interest (AOIs). To gain a deeper insight into students’ task-solving process, we argue that the gaze shifts between students’ fixations on different AOIs (so-termed transitions) also need to be included in holistic analyses of graph understanding that consider the importance of transitions for the task-solving process. Thus, we introduced Epistemic Network Analysis (ENA) as a novel approach to analyze eye-tracking data of 23 university students who solved eight multiple-choice graph tasks in physics and economics. ENA…
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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

November 5, 2020
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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Teacher-Student-AI Co-Orchestration in Educational Settings

Teacher-Student-AI Co-Orchestration in Educational Settings

March 17, 2020
Workshop
On the 4th and 5th of March 2020 in Bochum the international workshop on Teacher-Student-AI co-orchestration in education took place. Participants in the workshop include Vincent Aleven, Ken Holstein and Bruce McLaren from Carnegie Mellon University, Manolis Mavrikis and Mutlu Cukurova from University College London, Anouschka van Leeuwen from Universiteit Utrecht, Jenny Olsen from École Polytechnique Féderale de Lausanne (EPFL), Inge Molenaar from Radboud Universiteit, Nikol Rimmel from Ruhr-Universität Bochum, Knut Neumann from the Leibniz Institut für die Pädagogik der Naturwissenschaften und der Mathematik, and Jan Schneider from the DIPF. AI and Education Workshop Programm During the workshop, researchers presented their research with the purpose to identify common challenges and propose ideas and research directions to solve them. Most of the institutes are working on different learning scenarios and therefore trying…
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Learntec keynote

Learntec keynote

January 30, 2020
Conference, Keynote
From the 28th to the 30th of January the Learntec Europe’s #1 fair on digital learning took place. There Jan Schneider gave a presentation about Multimodal Learning Analytics. During the presentation, he gave a live demonstration of the Multimodal Learning applications developed by the EduTec team such as the Dancing Coach, Presentation Trainer, the Booth, LearningHub, and Visual Inspection Tool.
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Top cited paper Award

Top cited paper Award

January 26, 2020
Award, Publication
At the end of January 2020 the paper “From Signals to Knowledge. A Conceptual model for multimodal learning Analytics” received the recognition of being one of the top-cited articles published between January 2018 and December 2019 from the Journal of Computer Assisted Learning.
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