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Methods · Damian Betebenner

Codebook: two dimensions (v2, 6 Oct 2026)

Open the original · source at the pinned commit · 2 passages

  1. codebook-two-dimensions.0.6c5ab748lines 1–26

    Codebook: two dimensions (v2, 6 Oct 2026) Each program item (or session) is coded on **two independent yes/no questions**. Both can be yes. Code what the item is *about*, from its title and abstract only. Do not infer effects the text does not address. If the text is too thin to decide, code from the title and mark confidence `low`. product: Does the item concern AI inside an assessment, learning, or scoring product or service? **Yes** when its subject is an AI capability that produces scores, items, feedback, tutoring or other content that test-takers, students or teachers encounter, or evidence about such a capability. Includes automated scoring, AI item or passage generation, AI tutors and chatbots for learners, AI feedback, adaptive testing driven by AI, AI-generated learning content, synthetic respondents used to build or validate such products, and validity, fairness or reliability evidence *for* such products. **No** otherwise. profession: Does the item concern how measurement professionals do their own work with AI? **Yes** when its subject is AI changing the work of psychometricians, assessment developers, measurement researchers or testing-program staff. Includes AI in their analysis, coding, modeling, simulation, writing and documentation; AI assisting item writers or item reviewers; AI in peer review, standard setting, operational quality control, test assembly or test security review; AI coding of research data (qualitative coding, survey responses); and professional roles, competencies, careers, training, curricula and norms of practice. **No** otherwise.
  2. codebook-two-dimensions.1.99658371lines 28–38

    **No** otherwise. Notes - An AI tool that helps item writers produce items that reach students is **both** if the item addresses both the writers' work and the product; code what the text actually addresses. - AI literacy for students or teachers is not about measurement professionals: profession = no. - No AI focus at all: both no. Output, one line per item `id,product,profession,confidence,rationale`, with product and profession as 1 or 0, confidence `high` or `low`, and a rationale of at most 20 words.