UncategorizedBy colapsadmin

[Invited talk] Dr. Rwitajit Majumdar: “Context, Data and Inferencing: When Human-AI Meet to Learn”

On Wednesday June 18th at 10:30, we are happy to host Prof. Dr. Rwitajit Majumdar for an invited talk with the title: “Context, Data and Inferencing: When Human-AI Meet to Learn”. Dr. Rwitajit Majumdar is an Associate Professor at Kumamoto University, Japan, affiliated with the Research and Educational Institute for Semiconductors and Informatics, as well as the Graduate School of Social and Cultural Sciences, Division of Instructional System Studies and […]

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Guest LectureBy Bibeg Limbu, , ,

Lecture on VR based Cognitive-Behavioral Intervention for Long-distance Running- by Fernando Cardenas

Lecturer: Fernando Cardenas   Fernando presents his study, which investigates the impact of a virtual reality (VR) based mental training on long-distance runners preparing for races. Six participants took part in two different running races: the first without any mental training and the second after completing the virtual reality-based mental training. They used a single-subject multiple baseline design across individuals. Each participant received a virtual reality (VR) headset with an […]

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Guest LectureBy Bibeg Limbu, ,

Lecture on “Introduction to Scien… <80200053>” – by Dr. Jan Schneider

Lecturer: dr. Jan Schneider  The presentation is an introductory lecture on conducting scientific research in Educational Technologies. Using the analogy of construction and building, this presentation aims to work as a site clearance or site preparation. This involves clearing the land of any existing structures, vegetation, and debris to make way for new construction. It often includes demolition, excavation, and grading to ensure the land is suitable for building foundations. […]

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Guest LectureBy Bibeg Limbu,

Lecture on Attention biases- by Ali Soleymani

Lecturer: Ali Soleymani Attention biases—systematic tendencies to attend to certain stimuli over others—play a significant role in various psychological conditions, including substance use disorders and eating disorders. In this presentation, Ali will discuss the development and application of a free-viewing multi-stimulus eye-tracking task designed to assess attention biases toward disorder-specific cues. This task has demonstrated satisfactory reliability and criterion validity in measuring attention bias for alcohol versus soda cues. Building […]

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colaps statementsBy colapsadmin, , ,

colaps: Mission and Vision Statement

Founded in 2021, the research group “Computational Methods in Modeling and Analysis of Learning Processes” (COLAPS) is one of the 13 scientific fields at the Department of Human-centered Computing and Cognitive Science (HCCS), Faculty of Computer Science, University of Duisburg-Essen. Our mission is to conduct innovative research on the integration of artificial intelligence and data analytics in education with the aim to model how people learn and to foster transformative […]

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