Abstract
Original language | English |
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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 | |
Publication status | Published - 12 Dec 2018 |
Publication series
Name | From Natural to Artificial Intelligence - Algorithms and Applications |
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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
U2 - 10.5772/intechopen.81623
DO - 10.5772/intechopen.81623
M3 - Chapter
SN - 978-1-78984-702-4
T3 - From Natural to Artificial Intelligence - Algorithms and Applications
SP - 69
EP - 88
BT - From Natural to Artificial Intelligence
A2 - López Ruíz, Ricardo
PB - IntechOpen
CY - London, United Kingdom
ER -