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

Claudia Jaquelina Gonzalez, Ernesto Octavio Lopez, Guadalupe Elizabeth Morales

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (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 languageEnglish
Title of host publicationACM International Conference Proceeding Series
PublisherAssociation for Computing Machinery (ACM)
Pages32-37
Number of pages6
ISBN (Print)9781450364317
DOIs
Publication statusPublished - 26 May 2018
Event2018 International Conference on Distance Education and Learning, ICDEL 2018 - Beijing, China
Duration: 26 May 201828 May 2018

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2018 International Conference on Distance Education and Learning, ICDEL 2018
CountryChina
CityBeijing
Period26/5/1828/5/18

Fingerprint

E-learning
Semantics
Students
Computer systems
Neural networks

All Science Journal Classification (ASJC) codes

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

Cite this

Gonzalez, C. J., Lopez, E. O., & Morales, G. E. (2018). Self organized schemata behavior and meaning formation to evaluate E-learning. In ACM International Conference Proceeding Series (pp. 32-37). (ACM International Conference Proceeding Series). Association for Computing Machinery (ACM). https://doi.org/10.1145/3231848.3231877
Gonzalez, Claudia Jaquelina ; Lopez, Ernesto Octavio ; Morales, Guadalupe Elizabeth. / Self organized schemata behavior and meaning formation to evaluate E-learning. ACM International Conference Proceeding Series. Association for Computing Machinery (ACM), 2018. pp. 32-37 (ACM International Conference Proceeding Series).
@inproceedings{32daa121d4e74c00a523a33b042198c4,
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",
month = "5",
day = "26",
doi = "10.1145/3231848.3231877",
language = "English",
isbn = "9781450364317",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery (ACM)",
pages = "32--37",
booktitle = "ACM International Conference Proceeding Series",
address = "United States",

}

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 proceedingConference contribution

TY - GEN

T1 - Self organized schemata behavior and meaning formation to evaluate E-learning

AU - Gonzalez, Claudia Jaquelina

AU - Lopez, Ernesto Octavio

AU - Morales, Guadalupe Elizabeth

PY - 2018/5/26

Y1 - 2018/5/26

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=85054805236&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85054805236&partnerID=8YFLogxK

U2 - 10.1145/3231848.3231877

DO - 10.1145/3231848.3231877

M3 - Conference contribution

AN - SCOPUS:85054805236

SN - 9781450364317

T3 - ACM International Conference Proceeding Series

SP - 32

EP - 37

BT - ACM International Conference Proceeding Series

PB - Association for Computing Machinery (ACM)

ER -

Gonzalez CJ, Lopez EO, Morales GE. Self organized schemata behavior and meaning formation to evaluate E-learning. In ACM International Conference Proceeding Series. Association for Computing Machinery (ACM). 2018. p. 32-37. (ACM International Conference Proceeding Series). https://doi.org/10.1145/3231848.3231877