Metadata
Education Graduate Create Hard
Metadata
  • Subject

    Education

  • Education level

    Graduate

  • Cognitive goals

    Create

  • Difficulty estimate

    Hard

  • Tags

    curriculum design, competency-based, cluster-randomized trial, hierarchical Bayesian, validity evidence, cost-effectiveness

  • 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 student's ability to design a comprehensive graduate-level research plan to develop and validate a scalable, culturally responsive competency-based STEM curriculum for urban high schools. The plan should specify curriculum design principles grounded in equity and competency-based education; procedures for instrument development with a validity argument and reliability evidence; a cluster-randomized trial design addressing sampling, power, randomization strata, and implementation logistics; a hierarchical Bayesian analysis plan for multi-level impact estimation (including priors, model specification, and decision rules); procedures for fidelity monitoring and adaptive supports; and a cost-effectiveness evaluation with costing methods and sensitivity analyses. Require justification of methodological choices, measurement strategies, analytic plans, scaling pathway, and policy implications.
Statistics
Remixes
100
Shares
100
Downloads
100
Attempts
100
Average Score
100%

Mock data used for demo purposes.