American Journal of Educational Research
ISSN (Print): 2327-6126 ISSN (Online): 2327-6150 Website: http://www.sciepub.com/journal/education Editor-in-chief: Ratko Pavlović
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American Journal of Educational Research. 2015, 3(10), 1237-1242
DOI: 10.12691/education-3-10-5
Open AccessArticle

Towards a Need-task Functional Homology in the Development of Human-Machine Interface: Modeling According to APC of EIAH in Cameroon, the Case of Educational Software

René AZEGUE ONDOA1,

1Laboratoire d’ingénierie pédagogique et des Technologies éducatives, Département d’Informatique et des Technologies Educatives, Ecole Normale Supérieure - Université de Yaoundé1 – Cameroun

Pub. Date: September 28, 2015

Cite this paper:
René AZEGUE ONDOA. Towards a Need-task Functional Homology in the Development of Human-Machine Interface: Modeling According to APC of EIAH in Cameroon, the Case of Educational Software. American Journal of Educational Research. 2015; 3(10):1237-1242. doi: 10.12691/education-3-10-5

Abstract

This article entails verifying the analogy of the user’s activity in the execution of various tasks – case of an CEHL (Computing Environment for Human Learning). For this, the educational software JAVI (J’apprends AVec l’Informatique) will be used, and an elaboration will be done, in the form of an algorithmic structure, on a didactic profile by Competence Approach which will consist of specified tasks to be carried out by the user. The aim here is to create a useable tool which will be coherent in its Human-Machine interactions (HMI) between the user who is the educationist (pedagogue) and the computer scientist’s requirements – the program developer, hence matching the algorithmic sequence to the execution of related tasks. This action will enable the creation a system based on APCs, which could be used as a model for the creation of multidisciplinary educational software in Cameroon.

Keywords:
user prescribed task man-machine interface reusing human-machine interactions educational software competence approach computing environment for human learning

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