Leon Binder
University of Applied Sciences Deggendorf
5 Papers
1 Citations
Leon Binder is an academic researcher from University of Applied Sciences Deggendorf. The author has contributed to research in topics: Learning analytics & Computer science. The author has an hindex of 3, co-authored 4 publications.
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Papers
Education 4.0 - Artificial Intelligence Assisted Higher Education: Early recognition System with Machine Learning to support Students' Success
Monica Ciolacu,Ali Fallah Tehrani,Leon Binder,Paul Svasta +3 more
- 01 Oct 2018
TL;DR: An innovative approach to promoting AI in Education 4.0 is presented with an Early Recognition System equipped with real data captured in a blended learning course with a personalized test at the beginning of the semester, an adaptive learning environment based on Auto Tutor by N. A. Crowder theory with adaptive self-assessment feedback.
170
Education 4.0 – Jump to Innovation with IoT in Higher Education
Monica Ciolacu,Leon Binder,Paul Svasta,Ioan Tache,Dan Alexandru Stoichescu +4 more
- 01 Oct 2019
TL;DR: A User Experience Questionnaire for the measurement of acceptance of advanced electronic technology in Higher Education is developed and identified as experiment’s results the most important sensors and protocols for Education 4.0.
54
Enabling IoT in Education 4.0 with BioSensors from Wearables and Artificial Intelligence
Monica Ciolacu,Leon Binder,Heribert Popp +2 more
- 01 Oct 2019
TL;DR: This work investigates embedded biosensors (noninvasive, low-cost, and distraction-free) used in smartphones and smartwatches and proposes a framework that uses wearable devices to collect data with biofeedback methods to support students’ academic success.
36
•Proceedings Article
Education 4.0 für Akademiker 4.0 Kompetenzen - Blended Learning 4.0 Prozess mit Learning Analytics Cockpit (Education 4.0 for Tall Thin Engineer Competencies - Blended Learning 4.0 Process with Learning Analytics Cockpit).
Monica Ciolacu,Heribert Popp,Rick Beer,Leon Binder +3 more
- 01 Jan 2018
TL;DR: The Neural Network (NN) learns from the click data and the achieved points in the control questions of the courses (the first two months) as well as the pass / fail (classification) or the achieved Points in the exam (regression) during the reflection phase of the Blended Learning 4.0 Process.
Linking Thermal Images with 3D Models for FFF Printing
TL;DR: In this article , the authors propose a framework that includes steps for filtering object points that are visible from the camera perspective, projecting 3D points onto thermal images and removing pixels that represent the printhead.