Построение компьютерной системы профориентации выпускников средних образовательных заведений на базе генетического алгоритмастатья из журнала
База данных: Каталог библиотеки СФУ (С 323)
Библиографическое описание: Сергушичева, Анна Павловна. Построение компьютерной системы профориентации выпускников средних образовательных заведений на базе генетического алгоритма = Building a Computer Vocational Guidance System for Graduates of Secondary Educational Institutions Based on a Genetic Algorithm / А. П. Сергушичева, Е. Н. Давыдова. - (Новые технологии). - Текст : непосредственный // Открытое образование. - 2020. - № 3. - С. 33-43. - Библиогр.: с. 41-43 (24 назв.). - ISSN 1818-4243.
Аннотация: Разработан генетический алгоритм, в котором в качестве исходной информации для создания новой популяции приняты оценки аттестата индивидуума. На основе этих оценок формируется начальная популяция профессий. В результате скрещивания пары особей из родительской популяции получается потомок, хромосома которого состоит из генов обоих родителей. Отбор выживших экземпляров осуществляется на основе процента успеха в освоении каждой из профессий в списке и функции приспособленности. Разработанный алгоритм был реализован в программной системе. Как показали эксперименты, генетический алгоритм успешно справляется с задачей поиска оптимального списка профессий по заданному критерию. Заключение: Результаты исследования показывают, что применение генетических алгоритмов предоставляет удобные механизмы внедрения методов искусственного интеллекта в сферу профориентации, что позволяет повысить качество рекомендаций по выбору профессии.
The purpose of the article is to present the results of a study on the development of a genetic algorithm to solve the problems of career guidance for graduates of secondary educational institutions and to verify the possibility of its implementation in a computer system. The issue of career guidance for graduates is still relevant, problematic and not fully resolved. According to the authors, the introduction of artificial intelligence technologies in career guidance systems is a promising area that should be paid attention to. Genetic algorithms are widely used to solve search and optimization problems in various subject areas. The authors propose to automate the process of identifying the tendency of secondary school graduates to a particular type of activity by building a vocational guidance system based on a genetic algorithm. Materials and methods. To identify an individual’s predisposition to a specific type of activity, it is necessary to have a list of requirements and contraindications to the profession. Among the ways of describing the norms and requirements for the applicant-specialist are professiograms, lists of necessary competencies and others. To determine the characteristics of the individual that affect the choice of profession, it is possible to use special tests, activating questionnaires, grades in school subjects. The authors carry out the comparison of personality characteristics and requirements through a genetic algorithm. Genetic algorithms belong to the group of evolutionary methods and are based on the evolutionary theory. Among their advantages are conceptual simplicity and wide applicability, resistance to dynamic environmental changes and the ability to self-organize. Results. The genetic algorithm has been developed, in which as a source of information for creating a new population individual certificate evaluations are accepted. Based on these estimates, an initial population of professions is formed. As a result of crossing a pair of individuals from the parent population, a descendant is obtained whose chromosome consists of the genes of both parents. The selection of surviving specimens is based on the percentage of success in the development of each of the professions in the list and the fitness function. The developed algorithm was implemented in a software system. As experiments showed, the genetic algorithm successfully copes with the task of finding the optimal list of professions according to a given criterion. Conclusion. The results of the study show that the use of genetic algorithms provides convenient mechanisms for introducing artificial intelligence methods into the field of career guidance, which improves the quality of recommendations for choosing a profession.
The purpose of the article is to present the results of a study on the development of a genetic algorithm to solve the problems of career guidance for graduates of secondary educational institutions and to verify the possibility of its implementation in a computer system. The issue of career guidance for graduates is still relevant, problematic and not fully resolved. According to the authors, the introduction of artificial intelligence technologies in career guidance systems is a promising area that should be paid attention to. Genetic algorithms are widely used to solve search and optimization problems in various subject areas. The authors propose to automate the process of identifying the tendency of secondary school graduates to a particular type of activity by building a vocational guidance system based on a genetic algorithm. Materials and methods. To identify an individual’s predisposition to a specific type of activity, it is necessary to have a list of requirements and contraindications to the profession. Among the ways of describing the norms and requirements for the applicant-specialist are professiograms, lists of necessary competencies and others. To determine the characteristics of the individual that affect the choice of profession, it is possible to use special tests, activating questionnaires, grades in school subjects. The authors carry out the comparison of personality characteristics and requirements through a genetic algorithm. Genetic algorithms belong to the group of evolutionary methods and are based on the evolutionary theory. Among their advantages are conceptual simplicity and wide applicability, resistance to dynamic environmental changes and the ability to self-organize. Results. The genetic algorithm has been developed, in which as a source of information for creating a new population individual certificate evaluations are accepted. Based on these estimates, an initial population of professions is formed. As a result of crossing a pair of individuals from the parent population, a descendant is obtained whose chromosome consists of the genes of both parents. The selection of surviving specimens is based on the percentage of success in the development of each of the professions in the list and the fitness function. The developed algorithm was implemented in a software system. As experiments showed, the genetic algorithm successfully copes with the task of finding the optimal list of professions according to a given criterion. Conclusion. The results of the study show that the use of genetic algorithms provides convenient mechanisms for introducing artificial intelligence methods into the field of career guidance, which improves the quality of recommendations for choosing a profession.
Год издания: 2020
Источник: Открытое образование
Выпуск: № 3
Номера страниц: 33-43
Количество экземпляров:
- Книгохранилище научной литературы (пр. Свободный, 79, 3 этаж): свободно 1 из 1 экземпляров
Ключевые слова: генетические алгоритмы, искусственные интеллекты, методы профориентации, программные системы, профессиограммы, профориентации, эволюционные методы
Рубрики: Образование. Педагогика,
Профессиональное образование,
Применение вычислительной техники в педагогике
Профессиональное образование,
Применение вычислительной техники в педагогике
ISSN: 1818-4243
Идентификаторы: полочный индекс С 323, шифр otob/2020/3-349973182