Rate My Professor Peter Reimann

Reimann's research specializations include technology-supported peer tutoring, learning facilitation, interdisciplinary education, learning analytics from a realism perspective, process analysis in computer-supported collaborative learning (CSCL), self-regulated learning, immersive technologies for preservice teacher education, and data literacy in initial teacher education. He has produced extensive scholarly output, with over 190 publications documented on ResearchGate and more than 12,697 citations on Google Scholar, achieving an h-index of 42. Key books edited or co-edited by Reimann include Measuring and Visualizing Learning in the Information-Rich Classroom (2015, with Susan Bull, Michael Kickmeier-Rust, Ravi Vatrapu, and Barbara Wasson) and Designs for Learning Environments of the Future: International Perspectives from the Learning Sciences (2010, with Michael J. Jacobson). Prominent articles encompass Socio-Technical Configurations for Productive Talk (2021), An Extended Conceptualisation and Formal Ontology for Conjecture Mapping (2021), Connecting Learning Analytics with Learning Research: The Role of Design-Based Research (2016), and Time is Precious: Variable- and Event-Centered Approaches to Process Analysis in CSCL Research (2021). His contributions extend to funded research projects listed on the University of Sydney profile and leadership in professional service, including editorial roles. Reimann received the Heinz-Maier-Leibnitz Prize for his PhD thesis, recognizing early career excellence. His scholarship impacts the learning sciences by advancing methodological approaches like process mining and conjecture mapping, influencing pedagogical design and educational technology practices globally.