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Peter Reimann

Rated 4.50/5
University of Sydney

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About Peter

Professional Summary: Professor Peter Reimann

Professor Peter Reimann is a distinguished academic at the University of Sydney, Australia, with a notable career in educational technology and learning sciences. His work focuses on advancing the understanding of technology-enhanced learning environments and their impact on education.

Academic Background and Degrees

Professor Reimann holds advanced degrees in psychology and education, with a strong foundation in cognitive science. Specific details of his degrees and institutions are based on publicly available records from academic profiles and institutional websites.

  • PhD in Psychology (specialization in Cognitive Science), University of Freiburg, Germany (exact year unavailable in public records)

Research Specializations and Academic Interests

Professor Reimann’s research centers on the intersection of technology, learning, and cognition. His key areas of interest include:

  • Technology-enhanced learning environments
  • Learning analytics and educational data mining
  • Collaborative learning and computer-supported cooperative work
  • Cognitive modeling and simulation-based learning

Career History and Appointments

Professor Reimann has held several prestigious academic positions, contributing significantly to educational research and policy. His career trajectory includes:

  • Professor of Education, University of Sydney, School of Education and Social Work (current position)
  • Co-Director, Centre for Research on Learning and Innovation (CRLI), University of Sydney
  • Previous academic roles in Germany and other international institutions (specific details limited in public sources)

Major Awards, Fellowships, and Honors

While specific awards and honors are not extensively documented in publicly accessible sources, Professor Reimann is recognized for his leadership in learning sciences and contributions to educational technology research. Notable recognitions include:

  • Invited memberships and roles in international research networks on learning analytics and educational innovation (specific titles unavailable)

Key Publications

Professor Reimann has authored and co-authored numerous influential works in the field of learning sciences and educational technology. A selection of his key publications includes:

  • Learning with Simulations: Concepts, Tools, and Environments (co-authored, 2013)
  • ‘Measuring and Visualizing Students’ Behavioral Engagement in Writing’ (co-authored, 2015, published in Journal of Learning Analytics)
  • ‘e-Research and Learning Theory: What Do Sequence and Process Mining Methods Contribute?’ (co-authored, 2014, published in British Journal of Educational Technology)
  • Multiple papers and book chapters on collaborative learning and technology integration in education (specific titles and years limited in public summaries)

Influence and Impact on Academic Field

Professor Reimann has made significant contributions to the field of learning sciences, particularly in the development and application of learning analytics to improve educational outcomes. His work on technology-enhanced learning environments has influenced both research and practice, shaping how digital tools are integrated into educational settings. He is a respected figure in interdisciplinary research communities, fostering collaborations between education, psychology, and computer science.

Public Lectures, Committee Roles, and Editorial Contributions

Professor Reimann is actively involved in the academic community through various roles and contributions, including:

  • Regular presentations and keynotes at international conferences on learning sciences and educational technology (specific events not fully listed in public records)
  • Editorial board memberships and reviewer roles for prominent journals in education and learning analytics (specific journals not detailed in public sources)
  • Leadership in research initiatives and committees at the University of Sydney, including the Centre for Research on Learning and Innovation