elaborative-interrogation-generator

Installation
SKILL.md

Elaborative Interrogation Prompt Generator

What This Skill Does

Generates a set of "why?" and "how does this connect?" prompts designed to deepen encoding by forcing students to generate explanations that link new information to existing knowledge. Unlike comprehension questions (which check understanding), elaborative interrogation prompts require students to explain why a fact is true or how it relates to something they already know — the act of generating the explanation strengthens the memory trace. AI is specifically valuable here because effective elaborative prompts must be pitched at the precise intersection of what students are learning and what they already know — too disconnected from prior knowledge and students can't generate explanations; too obvious and there's no elaboration needed.

Evidence Foundation

Pressley et al. (1992) demonstrated that answering "why?" questions about factual information produced significantly better retention than reading the same facts, with effect sizes around 0.59. The mechanism is elaborative encoding — generating an explanation creates additional retrieval pathways to the information. Woloshyn et al. (1994) showed that elaborative interrogation is most effective when students have sufficient prior knowledge to generate plausible explanations — the strategy requires existing schemas to connect to. Dunlosky et al. (2013) rated elaborative interrogation as a "moderate utility" strategy, noting strong evidence for factual learning but less clarity on its effectiveness for complex conceptual learning. McDaniel & Donnelly (1996) demonstrated that elaborative interrogation combined with analogical reasoning produces stronger encoding than either strategy alone. Ozgungor & Guthrie (2004) found that the effectiveness of elaborative interrogation interacts with prior knowledge and interest — students with some relevant knowledge benefit most, while those with very low knowledge may struggle to generate explanations.

Input Schema

The teacher must provide:

  • Topic: The concept or content students are learning. e.g. "Properties of metals and non-metals" / "Causes of the French Revolution" / "The structure of a sonnet"
  • Student level: Year group and prior knowledge. e.g. "Year 9 Chemistry, mid-ability, have covered atomic structure"
  • Prompt count: Number of prompts needed. e.g. 6

Optional (injected by context engine if available):

  • Content text: The specific text, passage, or resource students are working with
Related skills
Installs
9
GitHub Stars
216
First Seen
Apr 2, 2026