Jan Schneider, Author at EduTec Science

Author: Jan Schneider

Dr. Jan Schneider is a postdoctoral researcher at the Educational Technologies group of the DIPF. He started his career as a researcher on 2008 working as a Human Computer Interaction researcher the Expertise Centre for Digital Media at Hasselt University in Belgium. There he worked for several research projects in the areas of Multi-Touch and mobile interactions. On December 2017 he received his PhD from the Open University of the Netherlands on the topic of “Sensor based Learning support”. During his PhD he worked on two European projects (Metalogue and Wekit) and his developed research prototypes got awarded in three different international conferences (EC-TEL 2014, EC-TEL 2015, ICMI 2015). His current research focus is in the area of Multimodal Learning Analytics (MMLA), where he is investigating the creation of generic frameworks and solutions designed to support the learning process with the use of Multimodal Data.

Jun282023 by Jan SchneiderNo Comments

JTEL Summer School Workshops on Academic Writing and Academic Presentations

Summer School

With all the sadness in my heart, I believe that academia is on life support. The introduction of Large Language models, grievance studies hoaxes, scientific programs that resemble miracle infomercial products, and the distrust generated by slogans such as “follow the science”, etc. are one by one causing multiple organ failures. Attempts to save it like the introduction of Open Science initiatives, Ethical Committees, and tighter standards, in my opinion, in most cases just make the whole academic process more bureaucratic and push it further away from its roots. I deeply love science and even though I’m not a super experienced or renowned scientist I want to do whatever I can to save it. So, I decided to share what I’ve learned in my years working as a scientific researcher…

Oct122021 by Jan SchneiderNo Comments

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

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…

Oct122021 by Jan SchneiderNo Comments

New Pub: Get your Back Straight!

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…

Dec42020 by Jan SchneiderNo Comments

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

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…

Nov52020 by Jan SchneiderNo Comments

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.

Mar172020 by Jan SchneiderNo Comments

Teacher-Student-AI Co-Orchestration in Educational Settings

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…

Jan302020 by Jan SchneiderNo Comments

Learntec keynote

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.

Jan262020 by Jan SchneiderNo Comments

Top cited paper Award

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.