Formative E-Assessment of Schema Acquisition in the Human Lexicon as a Tool in Adaptive Online Instruction

Guadalupe Elizabeth Morales Martínez; Yanko Norberto Mezquita Hoyos; Claudia Jaquelina Gonzalez; Ernesto Octavio López Ramírez; Jocelyn Pamela García Durán

doi:10.5772/intechopen.81623

Formative E-Assessment of Schema Acquisition in the Human Lexicon as a Tool in Adaptive Online Instruction

Guadalupe Elizabeth Morales Martínez, Yanko Norberto Mezquita Hoyos, Claudia Jaquelina Gonzalez, Ernesto Octavio López Ramírez, Jocelyn Pamela García Durán

Departamento de Educación

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

Abstract

This chapter presents comprehensive method of implementing e-assessment in adaptive e-instruction systems. Specifically, a neural net classifier capable of discerning whether a student has integrated new schema-related concepts from course content into her/his lexicon is used by an expert system with a data based containing natural mental representations from course content obtained from students and teachers for adapting e-instruction. Mental representation modeling is used to improve student modeling. Implications for adaptive hypermedia systems and hypertext-based instructions are discussed. Furthermore, it is argued that the current research constitutes a new cognitive science empirical direction to evaluate knowledge acquisition based on meaning information

Original language	English
Title of host publication	From Natural to Artificial Intelligence
Subtitle of host publication	Algorithms and Applications
Editors	Ricardo López Ruíz
Place of Publication	London, United Kingdom
Publisher	IntechOpen
Chapter	4
Pages	69-88
Number of pages	19
Edition	1
ISBN (Electronic)	978-1-78984-703-1
ISBN (Print)	978-1-78984-702-4
DOIs	https://doi.org/10.5772/intechopen.81623
Publication status	Published - 12 Dec 2018

Publication series

Name	From Natural to Artificial Intelligence - Algorithms and Applications

Access to Document

10.5772/intechopen.81623

http://www.mendeley.com/research/formative-eassessment-schema-acquisition-human-lexicon-tool-adaptive-online-instruction

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Morales Martínez, G. E., Mezquita Hoyos, Y. N., Gonzalez, C. J., López Ramírez, E. O., & García Durán, J. P. (2018). Formative E-Assessment of Schema Acquisition in the Human Lexicon as a Tool in Adaptive Online Instruction. In R. López Ruíz (Ed.), From Natural to Artificial Intelligence: Algorithms and Applications (1 ed., pp. 69-88). (From Natural to Artificial Intelligence - Algorithms and Applications). IntechOpen. https://doi.org/10.5772/intechopen.81623

Morales Martínez, Guadalupe Elizabeth ; Mezquita Hoyos, Yanko Norberto ; Gonzalez, Claudia Jaquelina ; López Ramírez, Ernesto Octavio ; García Durán, Jocelyn Pamela. / Formative E-Assessment of Schema Acquisition in the Human Lexicon as a Tool in Adaptive Online Instruction. From Natural to Artificial Intelligence: Algorithms and Applications. editor / Ricardo López Ruíz. 1. ed. London, United Kingdom : IntechOpen, 2018. pp. 69-88 (From Natural to Artificial Intelligence - Algorithms and Applications).

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abstract = "This chapter presents comprehensive method of implementing e-assessment in adaptive e-instruction systems. Specifically, a neural net classifier capable of discerning whether a student has integrated new schema-related concepts from course content into her/his lexicon is used by an expert system with a data based containing natural mental representations from course content obtained from students and teachers for adapting e-instruction. Mental representation modeling is used to improve student modeling. Implications for adaptive hypermedia systems and hypertext-based instructions are discussed. Furthermore, it is argued that the current research constitutes a new cognitive science empirical direction to evaluate knowledge acquisition based on meaning information",

author = "{Morales Mart{\'i}nez}, {Guadalupe Elizabeth} and {Mezquita Hoyos}, {Yanko Norberto} and Gonzalez, {Claudia Jaquelina} and {L{\'o}pez Ram{\'i}rez}, {Ernesto Octavio} and {Garc{\'i}a Dur{\'a}n}, {Jocelyn Pamela}",

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language = "English",

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Morales Martínez, GE, Mezquita Hoyos, YN, Gonzalez, CJ, López Ramírez, EO & García Durán, JP 2018, Formative E-Assessment of Schema Acquisition in the Human Lexicon as a Tool in Adaptive Online Instruction. in R López Ruíz (ed.), From Natural to Artificial Intelligence: Algorithms and Applications. 1 edn, From Natural to Artificial Intelligence - Algorithms and Applications, IntechOpen, London, United Kingdom, pp. 69-88. https://doi.org/10.5772/intechopen.81623

Formative E-Assessment of Schema Acquisition in the Human Lexicon as a Tool in Adaptive Online Instruction. / Morales Martínez, Guadalupe Elizabeth; Mezquita Hoyos, Yanko Norberto; Gonzalez, Claudia Jaquelina; López Ramírez, Ernesto Octavio; García Durán, Jocelyn Pamela.

From Natural to Artificial Intelligence: Algorithms and Applications. ed. / Ricardo López Ruíz. 1. ed. London, United Kingdom : IntechOpen, 2018. p. 69-88 (From Natural to Artificial Intelligence - Algorithms and Applications).

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

TY - CHAP

T1 - Formative E-Assessment of Schema Acquisition in the Human Lexicon as a Tool in Adaptive Online Instruction

AU - Morales Martínez, Guadalupe Elizabeth

AU - Mezquita Hoyos, Yanko Norberto

AU - Gonzalez, Claudia Jaquelina

AU - López Ramírez, Ernesto Octavio

AU - García Durán, Jocelyn Pamela

PY - 2018/12/12

Y1 - 2018/12/12

N2 - This chapter presents comprehensive method of implementing e-assessment in adaptive e-instruction systems. Specifically, a neural net classifier capable of discerning whether a student has integrated new schema-related concepts from course content into her/his lexicon is used by an expert system with a data based containing natural mental representations from course content obtained from students and teachers for adapting e-instruction. Mental representation modeling is used to improve student modeling. Implications for adaptive hypermedia systems and hypertext-based instructions are discussed. Furthermore, it is argued that the current research constitutes a new cognitive science empirical direction to evaluate knowledge acquisition based on meaning information

AB - This chapter presents comprehensive method of implementing e-assessment in adaptive e-instruction systems. Specifically, a neural net classifier capable of discerning whether a student has integrated new schema-related concepts from course content into her/his lexicon is used by an expert system with a data based containing natural mental representations from course content obtained from students and teachers for adapting e-instruction. Mental representation modeling is used to improve student modeling. Implications for adaptive hypermedia systems and hypertext-based instructions are discussed. Furthermore, it is argued that the current research constitutes a new cognitive science empirical direction to evaluate knowledge acquisition based on meaning information

UR - http://www.mendeley.com/research/formative-eassessment-schema-acquisition-human-lexicon-tool-adaptive-online-instruction

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BT - From Natural to Artificial Intelligence

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Morales Martínez GE, Mezquita Hoyos YN, Gonzalez CJ, López Ramírez EO, García Durán JP. Formative E-Assessment of Schema Acquisition in the Human Lexicon as a Tool in Adaptive Online Instruction. In López Ruíz R, editor, From Natural to Artificial Intelligence: Algorithms and Applications. 1 ed. London, United Kingdom: IntechOpen. 2018. p. 69-88. (From Natural to Artificial Intelligence - Algorithms and Applications). https://doi.org/10.5772/intechopen.81623