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Roy Pea: Technology & Science

Roy D. Pea is David Jacks Professor of Learning Sciences and Education at the Stanford Graduate School of Education. He has extensively published works in the field of the Learning Sciences and on learning technology design and made significant contributions since 1981 to the understanding of how people learn with technology.

Language: English [EN]
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Roy Pea topic overview

The analysis highlights Technology and Science as prominent areas in the source structure around Roy Pea. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.

Related topics
29
Source areas
2
Connected nodes
32
Extracted relationships
7
Concept neighborhoods
20
Bridge connections
32

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Education · 28 topics
Overview · 2 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Alma mater
Michigan State University University of Oxford
Born
Roy D. Pea July 5, 1952 (1952-07-05) (age 74) Highland Park, Michigan
Doctoral advisor
Jerome Bruner
Doctoral students
Shuchi Grover
Fields
Learning sciences Educational technology Collaborative learning STEM learning
Thesis
The development of negation in early child language (1978)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Education

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Roy Pea connects Entity context

The extracted context around Roy Pea shows recurring relationship patterns in the source. For example, Roy Pea → Michigan State University University of Oxford Another extracted example is Roy Pea → Roy D. Pea July 5, 1952 (1952-07-05) (age 74) Highland Park, Michigan. Use these groups to spot repeated connection types before inspecting the individual relationships.

Roy Pea

Top relations

Alma mater · 1
Roy Pea → Michigan State University University of Oxford
Born · 1
Roy Pea → Roy D. Pea July 5, 1952 (1952-07-05) (age 74) Highland Park, Michigan
Doctoral advisor · 1
Roy Pea → Jerome Bruner
Doctoral students · 1
Roy Pea → Shuchi Grover
Fields · 1
Roy Pea → Learning sciences Educational technology Collaborative learning STEM learning
Thesis · 1
Roy Pea → The development of negation in early child language (1978)
Website · 1
Roy Pea → profiles.stanford.edu/roy-pea

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

learning sciences pea research technology stanford education university development advisor technologies center educational national centers michigan doctoral career teachaids studying

Roy Pea relationships Subject–Predicate–Object triples

TTTA extracted 7 structured relationships around Roy Pea. Examples in this analysis include Roy Pea → Alma mater → Michigan State University University of Oxford and Roy Pea → Born → Roy D. Pea July 5, 1952 (1952-07-05) (age 74) Highland Park, Michigan. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Roy PeaAlma materMichigan State University University of Oxford1.00infobox
Roy PeaBornRoy D. Pea July 5, 1952 (1952-07-05) (age 74) Highland Park, Michigan1.00infobox
Roy PeaDoctoral advisorJerome Bruner1.00infobox
Roy PeaDoctoral studentsShuchi Grover1.00infobox
Roy PeaFieldsLearning sciences Educational technology Collaborative learning STEM learning1.00infobox
Roy PeaThesisThe development of negation in early child language (1978)1.00infobox
Roy PeaWebsiteprofiles.stanford.edu/roy-pea1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Roy Pea bring nearby vocabulary together. In this analysis, examples include Sciences, Stanford and Research. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Roy Pea
    • Sciences
    • Stanford
    • Research
    • Technology
    • Education
    • Development
    • University
    • Graduate
    • Teachaids
    • Advanced
    • Advisor
    • Director
  • roy pea
    • Sciences
    • Stanford
    • Research
    • Technology
    • Education
    • Development
    • University
    • Graduate
    • Teachaids
    • Advanced
    • Advisor
    • Director
  • stanford graduate school of education
    • Teachaids
    • University
    • Advisor
    • Technology
    • Advanced
    • Director
    • Educational
    • Field
    • Sciences
    • Stanford
    • Pea
    • Learning
  • learning sciences
    • Sciences
    • Research
    • Pea
    • Technology
    • Center
    • Stanford
    • National
    • University
    • Education
    • Educational
    • Development
    • Technologies
  • michigan state university
    • Oxford
    • State
    • Technology
    • Park
    • Stanford
    • Michigan
    • University
    • Advisor
    • Doctoral
    • Teachaids
    • Educational
    • National
  • university of oxford
    • State
    • Technology
    • Park
    • Stanford
    • Michigan
    • Oxford
    • University
    • Advisor
    • Doctoral
    • Teachaids
    • Educational
    • National
  • northwestern university
    • Technology
    • Stanford
    • Michigan
    • Oxford
    • State
    • Advisor
    • Doctoral
    • Educational
    • National
    • Sciences
    • Center
    • Learning
  • stanford university
    • Technology
    • Stanford
    • University
    • Michigan
    • Oxford
    • State
    • Advanced
    • Advisor
    • Director
    • Doctoral
    • Educational
    • National

Connections between topic areas Semantic bridges

For Roy Pea, one of the stronger structural bridges in this analysis connects Roy Pea with Education. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Roy Pea — Education · splits 4 ⟂ 29
Roy Pea — Overview · splits 30 ⟂ 3

Map overview Semantic statistics

Roy Pea

Nodes33
Edges32
Triples7
Avg. degree1.94
Density0.060606
Components1

Source & methodology

TTTA analyzes the structure around Roy Pea to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Roy Pea · EN edition · Analysis: TopicsToTalkAbout

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