An Adaptive Methodology for the Improvement of Knowledge Acquisition by a Multimedia Web Tool

Gabriel Cerna Pedro Victor,Antoni Perez-Poch, Francisco Alpiste Penalba,Jordi Torner

INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION(2023)

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摘要
Adaptive learning is a method that personalizes the teaching-learning strategies in accordance with the needs and preferences of each student. This article describes the design, the implementation and the tests of a web application developed with adaptive learning in order to improve student knowledge acquisition and to simplify the teacher's work. The tool uses EventSource technologies combined with heuristic functions to produce a predictive algorithm, which is capable of being adapted to the students in a customized way by presenting the content adjusted according to their cognitive needs. The design is based on the hypothesis that the acquisition of knowledge can be improved by using a computing application which presents a syllabus to be learned in various forms. In this way, the application determines students' progress within the content of the material, which is classified by branches of knowledge. The tool was applied to one group of students and the data that we obtained was compared with the results of the rest, subject to the usual knowledge transmission system. The results obtained not only improve the academic results, but also enhance the heuristic decision-making about the content to be taught.
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关键词
adaptive teaching, predictive algorithm, evaluation, improved learning
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