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On the page
Bahtijar
Vogel
Head of department/Senior lecturer/Associate Professor
bahtijar.vogel@mau.se
+46 40 665 70 12
orcid.org/0000-0001-6708-5983
Presentation
Bahtijar Vogel is an Associate Professor (docent), Head of the Department of Computer Science and Media Technology at the Faculty of Technology and Society, Malmö University. He holds a PhD in Computer Science from Linnaeus University. His research focuses on software engineering, architecture, and the Internet of Things (IoT), where he develops the concept of an open architecture for deploying flexible, evolvable, and usable systems in various application domains and contexts, particularly in dynamic operating conditions and environments. With open architectures, his research promotes openness in terms of open source components, open data standards, and open innovation.
Vogel is an active member of the Internet of Things and People Research Centre (IoTaP) at Malmö University.
Dr. Vogel teaches within the Applied Data Science master's program. Currently, he is the course responsible for "Data and Society" and "Research Methods of Computer Science and Fundamental Computational Theory" courses. Additionally, he is responsible for the PhD-level course in the Internet of Things and People Seminar Series. His teaching engagements also cover areas such as web and mobile development, cross-platform development using JavaScript, testing web and mobile applications, agile development practices, architectures, and software design, among others. Furthermore, Dr. Vogel has worked in the industry as an IT architect consultant, software engineer, and software developer for a couple of years.
Publications
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2024 | Conference paper
Conceptual Design of Multimodal Learning Analytics for Spoken Language Acquisition
Hamza Ouhaichi, Daniel Spikol, Zaibei Li, Bahtijar Vogel
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2024 | Conference paper
A SYSTEMATIC REVIEW OF MULTIMODAL LEARNING ANALYTICS DESIGN MODELS AND FRAMEWORKS
Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel
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2024 | Conference paper
Analytics in Glocal Classrooms: Integrating Multimodal Learning Analytics in a Smart Learning Environment
Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel, Zaibei Li
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2024 | Conference paper
Learning Swedish with AI: Exploring Multimodal Learning Analytics in Spoken Language Acquisition
Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel
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2024 | Conference paper
Guiding the Integration of Multimodal Learning Analytics in the Glocal Classroom: A Case Study Applying MAMDA
Hamza Ouhaichi, Daniel Spikol, Bahtijar Vogel
Research Projects
You can find previous research projects in the Diva database.