World's Best Scientists 2026 revealed!

D-Index & Metrics

Social Sciences and Humanities

D-Index
57
Citations
92584
World Ranking
1694
National Ranking
811

Engineering and Technology

D-Index
50
Citations
50009
World Ranking
3983
National Ranking
1148

Research.com Recognitions

  • 2009 - Fellow of the American Academy of Arts and Sciences
  • 1957 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

John Seely Brown is affiliated with the Palo Alto Research Center in the United States. Their research spans various aspects of computer science and social sciences with notable contributions in psychology as well.

The scientist's work covers several main fields of study:

  • Computer Science
  • Social Sciences
  • Psychology

Within these fields, their subfields of interest include:

  • Artificial Intelligence
  • Computer Science Applications
  • Developmental and Educational Psychology
  • Education
  • Information Systems

The primary research topics explored are:

  • Topic Modeling
  • Online Learning and Analytics
  • Intelligent Tutoring Systems and Adaptive Learning
  • Innovative Teaching and Learning Methods
  • Teaching and Learning Programming
  • Natural Language Processing Techniques
  • Educational Games and Gamification

Frequent co-authors collaborating with John Seely Brown include:

  • Steven Moore
  • Huy A. Nguyen
  • Ruiwei Xiao
  • Norman Bier
  • Xinying Hou

Publishing predominantly in venues such as:

  • arXiv (Cornell University)
  • Proceedings.
  • Computers and Education Artificial Intelligence
  • Zenodo (CERN European Organization for Nuclear Research)
  • International Journal of Artificial Intelligence in Education

Recent papers authored or co-authored by John Seely Brown demonstrate a focus on educational technology and artificial intelligence in education:

  • Learnersourcing in the age of AI: Student, educator and machine partnerships for content creation (2023), published in Computers and Education Artificial Intelligence
  • Towards Automated Generation and Evaluation of Questions in Educational Domains (2022), published in Zenodo (CERN European Organization for Nuclear Research)
  • The Use of Large Language Models in Education (2025), published in International Journal of Artificial Intelligence in Education
  • Assessing the Quality of Multiple-Choice Questions Using GPT-4 and Rule-Based Methods (2023), published in arXiv (Cornell University)
  • Enhancing LLM-Based Feedback: Insights from Intelligent Tutoring Systems and the Learning Sciences (2024), published in arXiv (Cornell University)

Notable recognitions include:

  • Fellow of the American Academy of Arts and Sciences (2009)
  • Fellow of the American Association for the Advancement of Science (AAAS) (1957)

Best Publications

  • Situated Cognition and the Culture of Learning

    John Seely Brown;Allan Collins;Paul Duguid

  • Organizational Learning and Communities-of-Practice: Toward a Unified View of Working, Learning, and Innovation

    John Seely Brown;Paul Duguid

  • Cognitive Apprenticeship: Teaching the Craft of Reading, Writing and Mathematics

    Allan Collins;John Seely Brown;Susan E. Newman

  • Cognitive Apprenticeship: Teaching the Crafts of Reading, Writing, and Mathematics

    Allan Collins;John Seely Brown;Susan E. Newman

  • Knowledge and Organization: A Social-Practice Perspective

    John Seely Brown;Paul Duguid

  • The Social Life of Information

    Brown Seely;John Seely Brown;Paul Duguid

  • Bridging Epistemologies: the Generative Dance Between Organizational Knowledge and Organizational Knowing

    Scott D. N. Cook;John Seely Brown

  • Cognitive apprenticeship: Making thinking visible

    Allan Collins;John Seely Brown;Ann Holum

  • A qualitative physics based on confluences

    Johan De Kleer;John Seely Brown

  • The coming age of calm technolgy

    Mark Weiser;John Seely Brown

  • The Social Life of Information

    John Seely Brown;Paul Duguid

  • A New Culture of Learning: Cultivating the Imagination for a World of Constant Change

    Douglas Thomas;John Seely Brown

  • Diagnostic Models for Procedural Bugs in Basic Mathematical Skills

    Unknown

  • Minds on Fire: Open Education, the Long Tail, and Learning 2.0

    John Seely Brown;Richard P. Adler

  • Repair theory: A generative theory of bugs in procedural skills

    John Seely Brown;Kurt VanLehn

  • Organizing Knowledge

    Unknown

  • Growing Up: Digital: How the Web Changes Work, Education, and the Ways People Learn

    John Seely Brown

  • Balancing act: how to capture knowledge without killing it.

    John Seely Brown;Paul Duguid

  • The Origins of Ubiquitous Computing Research at PARC in the Late 1980s

    Unknown

  • Storytelling in organizations : why storytelling is transforming 21st century organizations and management

    J. S. Brown;Stephen Denning;Katalina Groh;Laurence Prusak

  • The computer as a tool for learning through reflection

    A. Collins;J. S. Brown

  • Why AM an EUISKO appear to work.

    Douglas B. Lenat;John Seely Brown

  • Research that reinvents the corporation

    John Seely Brown

Frequent Co-Authors

Allan Collins
Allan Collins Northwestern University
Johan de Kleer
Johan de Kleer Palo Alto Research Center
Kurt VanLehn
Kurt VanLehn Arizona State University
Ronald M. Kaplan
Ronald M. Kaplan Stanford University
Douglas B. Lenat
Douglas B. Lenat Stanford University
William Buxton
William Buxton Microsoft (United States)
Louis A. Gottschalk
Louis A. Gottschalk University of California, Irvine
Roger C. Schank
Roger C. Schank Socratic Arts
Elliot Soloway
Elliot Soloway University of Michigan–Ann Arbor

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