<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The paper presents a method of optimizing Quantitative Learner’s Motivation Model with the use of genetic algorithm. It is focused on optimizing the formula for prediction of learning motivation by means of different weights for three values: interest, usefulness in the future and satisfaction. For the purpose of this optimization, we developed a C++ library that implements a genetic algorithm and an application in C# which uses that library with data acquired from questionnaires enquiring about those three elements. The results of the experiment showed improvement in the estimation of student’s learning motivation.</p></abstract>

The paper presents a method of optimizing Quantitative Learner’s Motivation Model with the use of genetic algorithm. It is focused on optimizing the formula for prediction of learning motivation by means of different weights for three values: interest, usefulness in the future and satisfaction. For the purpose of this optimization, we developed a C++ library that implements a genetic algorithm and an application in C# which uses that library with data acquired from questionnaires enquiring about those three elements. The results of the experiment showed improvement in the estimation of student’s learning motivation.

The Use of Genetic Algorithm to Optimize Quantitative Learner’s Motivation Model

Department of Computer Science Kitami Institute of Technology

Technical Transactions

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 Public License.

The paper presents a method of optimizing Quantitative Learner’s Motivation Model with the use of genetic algorithm. It is focused on optimizing the formula...

The Use of Genetic Algorithm to Optimize Quantitative Learner’s Motivation Model

Data publikacji: 21 maj 2020

Zakres stron: 189 - 194

Otrzymano: 09 mar 2018

DOI: https://doi.org/10.4467/2353737XCT.18.066.8378

Słowa kluczowe
optimization, genetic algorithm, Quantitative Learner’s Motivation Model

© 2020 Pawel Lempa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 Public License.

The Use of Genetic Algorithm to Optimize Quantitative Learner’s Motivation Model

Data publikacji: 21 maj 2020

Zakres stron: 189 - 194

Otrzymano: 09 mar 2018

DOI: https://doi.org/10.4467/2353737XCT.18.066.8378

Słowa kluczoweoptimization, genetic algorithm, Quantitative Learner’s Motivation Model

© 2020 Pawel Lempa et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 Public License.

Słowa kluczowe
optimization, genetic algorithm, Quantitative Learner’s Motivation Model