Automatic generation of learning outcomes based on long short–term memory artificial neural network1.

Autor: Suárez-Cansino, Joel, López-Morales, Virgilio, Ramos-Fernández, Julio César, Pinto, David, Beltrán, Beatriz, Singh, Vivek
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Zdroj: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 42 Issue 5, p4449-4461, 13p
Abstrakt: Building a good instructional design requires a sound organization management to program and articulate several tasks based for instance on the time availability, process follow-up, social and educational context. Furthermore, learning outcomes are the basis involving every educational activity. Thus, based on a predefined ontology, including the instructional educative model and its characteristics, we propose the use of a Long Short–Term Memory Artificial Neural Network (LSTM) to organize the structure and automatize the obtention of learning outcomes for a focused instructional design. We present encouraging results in this direction through the use of a LSTM using as the training data, a small learning outcomes set predefined by the user, focused on the characteristics of an educative model previously defined. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index
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