Self organized schemata behavior and meaning formation to evaluate E-learning

Claudia Jaquelina Gonzalez; Ernesto Octavio Lopez; Guadalupe Elizabeth Morales

doi:10.1145/3231848.3231877

Self organized schemata behavior and meaning formation to evaluate E-learning

Claudia Jaquelina Gonzalez, Ernesto Octavio Lopez, Guadalupe Elizabeth Morales

Departamento de Humanidades, Educación y Psicopedagogía

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

This paper presents a comprehensive method to implement e-assessment using computer simulated schemata behavior that is based on natural semantic networks obtained from students before and after an academic course. Specifically, a computer system capable of obtaining natural semantic nets from students (as opposed to idiosyncratic semantic nets designed by a researcher) empower implementation of a constrains satisfaction neural net capable of emulate schemata behavior that can be used to formative e-assessment of learning. Empirical support to this approach to evaluate students long term retention of knowledge is presented trough a set of semantic priming studies considering different knowledge domains. Implications to innovate the XXI digital classroom are discussed.

Original language	English
Title of host publication	ACM International Conference Proceeding Series
Publisher	Association for Computing Machinery (ACM)
Pages	32-37
Number of pages	6
ISBN (Print)	9781450364317
DOIs	https://doi.org/10.1145/3231848.3231877
Publication status	Published - 26 May 2018
Event	2018 International Conference on Distance Education and Learning, ICDEL 2018 - Beijing, China Duration: 26 May 2018 → 28 May 2018

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	2018 International Conference on Distance Education and Learning, ICDEL 2018
Country/Territory	China
City	Beijing
Period	26/5/18 → 28/5/18

All Science Journal Classification (ASJC) codes

Human-Computer Interaction
Computer Networks and Communications
Computer Vision and Pattern Recognition
Software

Access to Document

10.1145/3231848.3231877

Cite this

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title = "Self organized schemata behavior and meaning formation to evaluate E-learning",

abstract = "This paper presents a comprehensive method to implement e-assessment using computer simulated schemata behavior that is based on natural semantic networks obtained from students before and after an academic course. Specifically, a computer system capable of obtaining natural semantic nets from students (as opposed to idiosyncratic semantic nets designed by a researcher) empower implementation of a constrains satisfaction neural net capable of emulate schemata behavior that can be used to formative e-assessment of learning. Empirical support to this approach to evaluate students long term retention of knowledge is presented trough a set of semantic priming studies considering different knowledge domains. Implications to innovate the XXI digital classroom are discussed.",

author = "Gonzalez, {Claudia Jaquelina} and Lopez, {Ernesto Octavio} and Morales, {Guadalupe Elizabeth}",

year = "2018",

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language = "English",

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series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery (ACM)",

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note = "2018 International Conference on Distance Education and Learning, ICDEL 2018 ; Conference date: 26-05-2018 Through 28-05-2018",

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Gonzalez, CJ, Lopez, EO & Morales, GE 2018, Self organized schemata behavior and meaning formation to evaluate E-learning. in ACM International Conference Proceeding Series. ACM International Conference Proceeding Series, Association for Computing Machinery (ACM), pp. 32-37, 2018 International Conference on Distance Education and Learning, ICDEL 2018, Beijing, China, 26/5/18. https://doi.org/10.1145/3231848.3231877

Self organized schemata behavior and meaning formation to evaluate E-learning. / Gonzalez, Claudia Jaquelina; Lopez, Ernesto Octavio; Morales, Guadalupe Elizabeth.
ACM International Conference Proceeding Series. Association for Computing Machinery (ACM), 2018. p. 32-37 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Lopez, Ernesto Octavio

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AB - This paper presents a comprehensive method to implement e-assessment using computer simulated schemata behavior that is based on natural semantic networks obtained from students before and after an academic course. Specifically, a computer system capable of obtaining natural semantic nets from students (as opposed to idiosyncratic semantic nets designed by a researcher) empower implementation of a constrains satisfaction neural net capable of emulate schemata behavior that can be used to formative e-assessment of learning. Empirical support to this approach to evaluate students long term retention of knowledge is presented trough a set of semantic priming studies considering different knowledge domains. Implications to innovate the XXI digital classroom are discussed.

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ER -

Self organized schemata behavior and meaning formation to evaluate E-learning

Abstract

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Conference

All Science Journal Classification (ASJC) codes

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