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Dual CTML-CLT framework with Gagné's Nine Events guiding segmented-interactive video design

Design · All designs
Evidence · 2 claims (2 for) · 1 study (1 causal), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description

The study's conceptual framework integrates Cognitive Load Theory, the Cognitive Theory of Multimedia Learning, and Gagné's Nine Events of Instruction to structure the segmented-interactive video. Intrinsic load reflects task complexity and extraneous load reflects poorly designed elements; reducing both optimizes germane load for schema construction. CTML rests on "dual channels (verbal and pictorial processing), limited capacity, and active processing", while Gagné's events sequence learning activities across communication, technical skills, and competency domains, supporting self-directed learning through structured segments.

Design Implications

Context

Requirements

  • Multimedia materials structured to optimize cognitive load
  • Sequencing of learning activities guided by Gagné's nine events

Constraints

  • Applied to a single venipuncture procedure in one undergraduate medical cohort

Target Learners

  • third-semester undergraduate medical students

Learning Goals

  • procedural skill acquisition
  • communication skills
  • overall procedural competency

Claims

Examples

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Key Sources

  • Hamzah Nurul Rimadhayanti, Mohd Fadzil Abdul Hanid & Mohamad Ikram Zakaria (2026). The effect of segmented-interactive video demonstration on student performance in procedural skills among healthcare students. Advances in Health Sciences Education. https://doi.org/10.1007/s10459-025-10471-2
Page metadata
Field Value
type design
id ctml-clt-gagne-framework-segmented-video
title Dual CTML-CLT framework with Gagné's Nine Events guiding segmented-interactive video design
description The study's conceptual framework integrates Cognitive Load Theory, the Cognitive Theory of Multimedia Learning, and Gagné's Nine Events of Instruction to structure the segmented-interactive video.
status review
generated by process:settle-candidates on 2026-11-04
trust unverified — no one has confirmed this page's content
sources 1 — hamzah-nurul-rimadhayanti-2026

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