A Novel Parabolic Model of Instructional Efficiency Grounded on Ideal Mental Workload and Performance

Luca Longo, Murali Rajendran

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Instructional efficiency within education is a measurable concept and models have been proposed to assess it. The main assumption behind these models is that efficiency is the capacity to achieve established goals at the minimal expense of resources. This article challenges this assumption by contributing to the body of Knowledge with a novel model that is grounded on ideal mental workload and performance, namely the parabolic model of instructional efficiency. A comparative empirical investigation has been constructed to demonstrate the potential of this model for instructional design evaluation. Evidence demonstrated that this model achieved a good concurrent validity with the well-known likelihood model of instructional efficiency, treated as baseline, but a better discriminant validity for the evaluation of the training and learning phases. Additionally, the inferences produced by this novel model have led to a superior information gain when compared to the baseline.

Original languageEnglish
Title of host publication Human Mental Workload: Models and Applications
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages26
ISBN (Print)9783030914073
DOIs
Publication statusPublished - 2021
Event5th International Symposium on Human Mental Workload, Models and Applications, H-WORKLOAD 2021 - Virtual, Online
Duration: 24 Nov 202126 Nov 2021

Publication series

NameCommunications in Computer and Information Science
Volume1493 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference5th International Symposium on Human Mental Workload, Models and Applications, H-WORKLOAD 2021
CityVirtual, Online
Period24/11/2126/11/21

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