In our research group, we investigate cognitive, motivational, and social aspects of learning by employing experimental research methods in laboratory and field studies. Our interests of research lie on 1) the effectiveness of different instructional approaches for learning by focusing on the benefits and disadvantages of errors and failure, 2) challenges during collaborative learning and impacts of different means of adaptive collaboration support (computer-supported collaborative learning, CSCL) in higher education, 3) problem-solving and learning processes in hardware reverse engineering, and 4) the role of emotional and social factors for academic success and career of students and researchers. For more details on the different projects, see the links below:
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Future of Education – Advancing Quality and Innovation in School and Higher Education Contact-person: Nikol Rummel |
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How Modes of Social Regulation Emerge and Impact Learning from Collaboration (MoRe) Contact-person: Nikol Rummel |
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TAICo (Teacher-AI Complementarity) Contact-person: Nikol Rummel |