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D-Index & Metrics

Social Sciences and Humanities

D-Index
60
Citations
19243
World Ranking
1426
National Ranking
677

Overview

David Williamson Shaffer is affiliated with the University of Wisconsin-Madison in the United States. Their research spans multiple fields including computer science, social sciences, and psychology, with significant contributions in several related subfields.

The primary fields of study for Shaffer are:

  • Computer Science
  • Social Sciences
  • Psychology

Within these areas, they have focused on specific subfields such as:

  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Developmental and Educational Psychology
  • Education
  • Computer Science Applications

Their main research topics cover a range of contemporary and interdisciplinary areas, including:

  • Complex Network Analysis Techniques
  • Innovative Teaching and Learning Methods
  • Online Learning and Analytics
  • Complex Systems and Decision Making
  • Topic Modeling
  • Mental Health Research Topics
  • Data Visualization and Analytics

Shaffer has published in multiple academic venues, publishing notably in:

  • Frontiers in Psychology
  • Computers & Education
  • Journal of Learning Analytics
  • Open Research Europe
  • Computers in Human Behavior

Recent papers include:

  • "Towards strengthening links between learning analytics and assessment: Challenges and potentials of a promising new bond" (2022, Computers in Human Behavior)
  • "Stirring a Secret Sauce: A Literature Review on the Conditions and Effects of Authentic Learning" (2022, Educational Psychology Review)
  • "Dissecting learning tactics in MOOC using ordered network analysis" (2022, Journal of Computer Assisted Learning)
  • "Analytics of self-regulated learning scaffolding: effects on learning processes" (2023, Frontiers in Psychology)
  • "Evaluating how residents talk and what it means for surgical performance in the simulation lab" (2020, The American Journal of Surgery)

Frequent coauthors in Shaffer's work include:

  • Zhiqiang Cai
  • A. R. Ruis
  • Brendan Eagan
  • Yeyu Wang
  • Yuanru Tan

Best Publications

  • How Computer Games Help Children Learn

    David Williamson Shaffer;James Paul Gee

  • Video Games and the Future of Learning

    David Williamson Shaffer;Kurt R. Squire;Richard Halverson;James P. Gee

  • Psychosocial risk factors of child and adolescent completed suicide.

    Madelyn S. Gould;Prudence Fisher;Michael Parides;Michael Flory

  • Psychopathology Associated With Suicidal Ideation and Attempts Among Children and Adolescents

    Madelyn S. Gould;Robert King;Steven Greenwald;Prudence Fisher

  • A Tutorial on Epistemic Network Analysis: Analyzing the Structure of Connections in Cognitive, Social, and Interaction Data

    David Williamson Shaffer;Wesley Collier;A. R. Ruis

  • Epistemic frames for epistemic games

    David W. Shaffer

  • Psychosocial and Risk Behavior Correlates of Youth Suicide Attempts and Suicidal Ideation

    Robert A. King;Mary Schwab-Stone;Alan J. Flisher;Steven Greenwald

  • Relationship Between Antidepressant Medication Treatment and Suicide in Adolescents

    Mark Olfson;David Shaffer;Steven C. Marcus;Tsafrir Greenberg

  • “Thick” authenticity: new media and authentic learning

    David Williamson Shaffer;Mitchel Resnick

  • Epistemic Network Analysis: A Prototype for 21st-Century Assessment of Learning

    David Williamson Shaffer;David Hatfield;Gina Navoa Svarovsky;Padraig Nash

  • The Columbia Impairment Scale (CIS): Pilot findings on a measure of global impairment for children and adolescents.

    Hector R. Bird;David Shaffer;Prudence Fisher;Madelyn S. Gould

  • "Practicing" medicine without risk: students' and educators' responses to high-fidelity patient simulation.

    James A. Gordon;William M. Wilkerson;David Williamson Shaffer;Elizabeth G. Armstrong

  • The impact of suicide in television movies. Evidence of imitation

    Madelyn S. Gould;David Shaffer

  • Antidepressant drug therapy and suicide in severely depressed children and adults: A case-control study.

    Mark Olfson;Steven C. Marcus;David Shaffer

  • Pedagogical Praxis: The Professions as Models for Postindustrial Education

    David Williamson Shaffer

  • Why Theory Matters More than Ever in the Age of Big Data

    Alyssa Friend Wise;David Williamson Shaffer

  • Emergency treatment of young people following deliberate self-harm

    Mark Olfson;M. J. Gameroff;Steven C. Marcus;Tsafrir Greenberg

  • Epistemic Network Analysis: A Worked Example of Theory-Based Learning Analytics

    David Williamson Shaffer;A. R. Ruis

  • SENS: Network analytics to combine social and cognitive perspectives of collaborative learning

    Dragan Gašević;Dragan Gašević;Srećko Joksimović;Brendan R. Eagan;David Williamson Shaffer;David Williamson Shaffer

  • What Good are Statistics that Don’t Generalize?:

    David Williamson Shaffer;Ronald C. Serlin

  • Evidence-Centered Design of Epistemic Games: Measurement Principles for Complex Learning Environments.

    Andre A. Rupp;Matthew Gushta;Robert J. Mislevy;David Williamson Shaffer

  • National Trends in Hospitalization of Youth With Intentional Self-Inflicted Injuries

    Mark Olfson;Marc J. Gameroff;Steven C. Marcus;Ted Greenberg

Frequent Co-Authors

Anthony P. Monaco
Anthony P. Monaco Tufts University
Arthur C. Graesser
Arthur C. Graesser University of Memphis
James Paul Gee
James Paul Gee Arizona State University
Hector R. Bird
Hector R. Bird Columbia University
Daniel S. Pine
Daniel S. Pine National Institutes of Health
Frank Fischer
Frank Fischer Ludwig-Maximilians-Universität München
Jeremy D. Coplan
Jeremy D. Coplan SUNY Downstate Medical Center
Sherryl H. Goodman
Sherryl H. Goodman Emory University
Dragan Gasevic
Dragan Gasevic Monash University
Judith L. Rapoport
Judith L. Rapoport National Institutes of Health

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