Cognitive responsive e-assessment of constructive e-learning

Semantic networks from 900 high education students from different knowledge domains were obtained by using a computer system. Then computer simulated schemata behavior and/or analysis of semantic networks allowed to select relevant course schemata related words to implement semantic priming studies...

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Bibliographic Details
Main Authors: Guadalupe Elizabeth Morales-Martinez, Ernesto Octavio Lopez-Ramirez
Format: Article
Language:English
Published: Italian e-Learning Association 2016-09-01
Series:Je-LKS : Journal of e-Learning and Knowledge Society
Subjects:
Online Access:https://www.je-lks.org/ojs/index.php/Je-LKS_EN/article/view/1187
Description
Summary:Semantic networks from 900 high education students from different knowledge domains were obtained by using a computer system. Then computer simulated schemata behavior and/or analysis of semantic networks allowed to select relevant course schemata related words to implement semantic priming studies to test for students´ word recognition latencies of schemata word pairs before and after a course. A trained neural net successfully recognized students who integrated course schemata related concepts in their lexicon from those who did not by analyzing recognition times after a course. Thus, an innovative e-assessment was implemented by developing a software system that integrates cognitive reports of mental representation due to learning (constructive assessment) with cognitive reports of automatic recognition processing of course content (reactive assessment). It is argued that this combination of cognitive assessment leads to innovative advanced forms to evaluate e-learning.
ISSN:1826-6223
1971-8829