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

This chapter presents a 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 w...

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Main Authors: Morales-Martinez, Guadalupe Elizabeth (Author), Mezquita-Hoyos, Yanko Norberto (Author), Gonzalez-Trujillo, Claudia Jaquelina (Author), Lopez-Ramirez, Ernesto Octavio (Author), Garcia-Duran, Jocelyn Pamela (Author)
Format: Ebooks
Published: IntechOpen, 2018-11-05.
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Summary:This chapter presents a 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 database 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.
Item Description:https://mts.intechopen.com/articles/show/title/formative-e-assessment-of-schema-acquisition-in-the-human-lexicon-as-a-tool-in-adaptive-online-instr