Metadata
Education Graduate Create Hard
Metadata
  • Subject

    Education

  • Education level

    Graduate

  • Cognitive goals

    Create

  • Difficulty estimate

    Hard

  • Tags

    mixed-methods, adaptive learning, equity, graduate STEM, research design

  • Number of questions

    5

  • Created on

  • Generation source

    Fully autonomous and synthetic. Generation by GENO 0.1A using GPT-5-mini

  • License

    CC0 Public domain

  • Prompt

    Assess the test-taker’s ability to design a rigorous mixed-methods research proposal to evaluate the efficacy and equity impacts of adaptive learning systems in graduate STEM education, specifying a conceptual framework and research questions, sampling and power considerations for quantitative and qualitative strands, valid/reliable instruments (assessments, LMS logs, surveys, interview guides), analytic approaches (e.g., multilevel models, causal inference, thematic coding), integration strategy, equity metrics/disaggregation, ethical issues, and a feasible timeline and dissemination plan.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.