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Six-module academic integrity sequence combining values definitions, scenarios, multimodal tasks, quizzes and an integrative final test

Design · All designs
Evidence · no claims cited

Description

Each of the six AI modules follows a common instructional sequence: definitions of values with interconnection scenarios, scenarios depicting diverse student life, multimodal tasks, module quizzes, and a final integration test. The article lists "Multimodal tasks such as drag and drop, ordering of responses, videos and games" and a final test awarding badges and an e-certificate. This sequence operationalizes East's (2016) recommendations that AI modules be engaging, image-rich, game-based and practice-oriented.

Design Implications

Context

Requirements

  • Content review by a focus group before prototype piloting
  • Quizzes and a final test to certify competency

Constraints

Target Learners

  • Undergraduate students entering or attending university

Learning Goals

  • Understanding and applying academic integrity values and rules

Claims

Examples

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Key Sources

  • Alice Schmidt Hanbidge, Amanda Mackenzie, Nicole Sanderson, Kyle Scholz and Tony Tin. (2017). Academic Success Foundation: Enhancing Academic Integrity through Mobile Learning. 13th International Conference Mobile Learning 2017. https://isbnsearch.org/isbn/978-989-8533-61-6
Page metadata
Field Value
type design
id fas-six-module-instructional-sequence
title Six-module academic integrity sequence combining values definitions, scenarios, multimodal tasks, quizzes and an integrative final test
description Each of the six AI modules follows a common instructional sequence: definitions of values with interconnection scenarios, scenarios depicting diverse student life, multimodal tasks, module quizzes, and a final integra...
status review
generated by process:settle-candidates on 2026-11-03
trust unverified — no one has confirmed this page's content
sources 1 — alice-schmidt-hanbidge-2017

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