URL Article: https://www.ijee.ie/contents/c390323.html
Publicaciones Científicas de Método Supertics
An Adaptive Methodology for the Improvement of Knowledge Acquisition by a Multimedia Web Tool.
Pedro Victor Gabriel Cerna, Antoni Pérez-Poch, Francisco Alpiste Penalba, and Jordi Torner Ribé,
International Journal of Engineering Education, vol. 39, no. 3, pp. 643–652, Jun. 2023.
International Journal of Engineering Education, vol. 39, no. 3, pp. 643–652, Jun. 2023.
Abstract
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.
Adaptive learning web application applied to engineering graphics teaching.
Pedro Victor Gabriel Cerna, Antoni Pérez-Poch, Francisco Alpiste Penalba, Miguel Brigos, Jordi Torner Ribé.
Education and representation techniques.
Congreso Internacional INGEGRAF 2023 | Cádiz | España | 21-23 JUNIO
Abstract
Adaptive learning is a method that individualizes teaching-learning strategies according to learners’ needs and preferences.
This paper describes the design, implementation, and testing of a web application developed using adaptive learning that aims to improve students’ knowledge acquisition in the subject of Graphic Expression in Engineering.
The tool uses a predictive algorithm, is adaptable in a personalized way to the student, and presents content adjusted to their cognitive needs.
The application determines the student’s progress within the content of the subject, which is classified by the branches of knowledge.
The tool was tested at the Barcelona East School of Engineering (EEBE), Universitat Politècnica de Catalunya (UPC).
The system is active when the student performs daily activities corresponding to the content to be reviewed, which varies in complexity in real time depending on the student’s interaction with the system.
Once the activity is completed, it is assessed with an algorithm that can use the results of other students to predict the activities they will perform as a result of their work.
The results not only improved the grades of the evaluations, but also improved heuristic decision-making on the content to be taught by incorporating them into their assessment processes.
This paper describes the design, implementation, and testing of a web application developed using adaptive learning that aims to improve students’ knowledge acquisition in the subject of Graphic Expression in Engineering.
The tool uses a predictive algorithm, is adaptable in a personalized way to the student, and presents content adjusted to their cognitive needs.
The application determines the student’s progress within the content of the subject, which is classified by the branches of knowledge.
The tool was tested at the Barcelona East School of Engineering (EEBE), Universitat Politècnica de Catalunya (UPC).
The system is active when the student performs daily activities corresponding to the content to be reviewed, which varies in complexity in real time depending on the student’s interaction with the system.
Once the activity is completed, it is assessed with an algorithm that can use the results of other students to predict the activities they will perform as a result of their work.
The results not only improved the grades of the evaluations, but also improved heuristic decision-making on the content to be taught by incorporating them into their assessment processes.
URL Congress: https://www.congresoingegraf.es/programa/