Strategies

Random Calling

Strategy · All strategies
Evidence · 2 claims (2 for) · 6 studies (4 quant-synthesis, 1 review, 1 theoretical), q2–q4 · 4 of 6 report an effect size

Description

Random calling (also called cold calling or random nomination) is a questioning strategy in which the instructor selects respondents at random — by name cards, a spinner, an app, or a shuffled roster — rather than accepting volunteers. It is typically paired with wait time and often with think-pair-share so that learners have an opportunity to prepare an answer before being called on.

Design Implications

Random calling distributes participation across the whole class and keeps every learner cognitively engaged, since anyone may be asked next Active learning improves exam performance relative to lecture alone. [+S]. Its effectiveness depends on a low-threat climate: when paired with adequate thinking time, scaffolding, and a norm that partial answers are acceptable, it raises engagement; when used punitively, it suppresses it.

Context

Requirements

Constraints

Implementation Variability

Target Learners

Target Learning Goals

Instructions

  1. Pose a question to the entire class before selecting anyone; give explicit think time.
  2. Optionally have learners discuss with a partner first (think-pair-share), so every learner rehearses an answer.
  3. Draw a name using a visible random mechanism, reinforcing that selection is fair and unpredictable.
  4. Apply wait time after the learner responds; use follow-up prompts ("What makes you say that?") rather than evaluating immediately.
  5. Normalize error: thank the attempt, probe reasoning, and redirect to peers to build on the answer.

Examples

Key Sources

Page metadata
Field Value
type strategy
id random-calling
title Random Calling
description Randomly selecting learners to respond to questions, rather than relying on volunteers, to increase participation, accountability, and thinking time across the whole class.
status review
generated by claude/unspecified on 2026-08-29
trust unverified — no one has confirmed this page's content

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