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Design Experiments in Educational Research

2003/01/01 by Paul Cobb, Jere Confrey, Andrea diSessa +3 · 3,492 citations
Engineering · Psychology · #Artificial intelligence #Computer science #Data mining #Data science #Design Education and Practice #Domain (mathematical analysis) #Engineering #Innovative Teaching and Learning Methods #Management science #Mathematics education #Measure (data warehouse) #Psychology #Range (aeronautics) #Research design #Sociology #Variety (cybernetics)

paper · doi:10.3102/0013189x032001009

published in Educational Researcher 32(1), 9-13 (SAGE Publishing)

openalex publication_date 2003/01/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/05

Abstract

In this article, the authors first indicate the range of purposes and the variety of settings in which design experiments have been conducted and then delineate five crosscutting features that collectively differentiate design experiments from other methodologies. Design experiments have both a pragmatic bent—“engineering” particular forms of learning—and a theoretical orientation—developing domain-specific theories by systematically studying those forms of learning and the means of supporting them. The authors clarify what is involved in preparing for and carrying out a design experiment, and in conducting a retrospective analysis of the extensive, longitudinal data sets generated during an experiment. Logistical issues, issues of measure, the importance of working through the data systematically, and the need to be explicit about the criteria for making inferences are discussed.

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