Applying the Delphi method with early-career researchers to explore a genderissues agenda in STEM education

Paul Hernandez-Martinez, Angeles Dominguez, Genaro Zavala, Maria Kambouri, Judith Zubieta, Robin Clark

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)


The Delphi method (DM) was initially conceived as a forecasting technique whose results are based on the consensus of a panel of experts. It has been used in many fields, assisting researchers, policymakers, and others in setting directions and future agendas. This study presents an application of the DM, with a broader interpretation of the notion of “expert” as a qualitative tool to explore gender issues in science, technology, engineering, and mathematics (STEM) education. Its aim is to analyze the use of the DM as a technique to achieve agreement among a group of early-career researchers from the UK and Mexico, who are not considered “experts” in the traditional sense. The other aim was to explore the advantages and disadvantages of using the DM in this context. We used three stages to collect information and reach a consensus. The first two were online activities, and the last consisted of a five-day face-to-face workshop. In the first stage, participants sent research questions, and organizers categorized them into themes. Participants responded to a survey ranking all research questions in the second stage. In the last, organizers analyzed the highest scored questions and arranged them into research topics in which participants worked on research proposals. The DM worked successfully with this group of participants by combining their interest in the field and engagement with the activities. The research strands and proposals of using this method are usable.

Original languageEnglish
Article numberem2177
JournalEurasia Journal of Mathematics, Science and Technology Education
Issue number11
Publication statusPublished - 2022


  • Delphi method
  • Educational innovation
  • Gender research agenda
  • Graduate research training
  • Higher education
  • Stem education

ASJC Scopus subject areas

  • Education
  • Applied Mathematics


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