Uwe Matzat is an Assistant Professor of Sociology working in the Human-Technology Interaction Group at Eindhoven University of Technology (TU/e). ). Uwe’s areas of exertise include survey research, experimental research, questionnaire construction and business advice specialties: statistical analysis /multivariate data analysis.
His current research interests include the design, use, and effects of social media - for individuals and for society. Recently he became interested in the use of social media for learning and Learning Analytics. Further research interests are in the field of web science, including research on online communities, social media, online and offline social networks, digital inequality, and social control on the Internet. His studies often transfer these topics to different application areas, such as learning, health, or social integration.
Uwe Matzat received his PhD from the University of Groningen within the Interuniversity Center for Social Science Theory and Methodology (ICS) in 2001. He conducted his research at the Universities of Düsseldorf, Toronto, and Eindhoven. He also graduated in Sociology at the University of Duisburg (Germany). His research has been published in journals, such as Journal of Computer Mediated Communication,Journal of the American Society for Information Science & Technology, Social Networks, Computers & Education, IEEE Transactions on Learning Technologies, and many others. He Uwe was Program Chair of several international conferences of the series General Online Research (http://www.gor.de). He is founding and serving editor of the International Journal of Internet Science.
Effects of an artificial agent as a behavioral model on motivational and learning outcomesComputers in Human Behavior (2019)
Effects of a virtual model’s pitch and speech rate on affective and cognitive learning14th International Conference on Persuasive Technology, PERSUASIVE 2019 (2019)
Using an artificial agent as a behavior model to promote assistive technology acceptance13th Conference on Persuasive Technology (2018)
Inequality in mobilizing online help after a negative life event: the role of education, digital skills, and capital-enhancing Internet useInformation, Communication & Society (2018)
Predicting student performance from LMS data: a comparison of 17 blended courses using Moodle LMSIEEE Transactions on Learning Technologies (2017)
- Behavorial and social theories of HTI (homologation course)
- Network Society
- Social media & life online. Citizens, consumers & the designed online world
- Introduction to the HTI domain
- Behavioral and social theories of human technology interaction
- Risk and trust in social computing and social media
No ancillary activities