The method for adaptation the future air traffic controllers’ self-directed learning to their style characteristics for automated adaptive pre-simulator training system
The subject matter of the article is the characteristics of learning styles of future air traffic controllers' practical learning at the basic training stage for the appropriate individual learning style formation. Besides, this study focuses on the adaptation processes of the future air traffi...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
National Aerospace University «Kharkiv Aviation Institute»
2022-08-01
|
| Series: | Авіаційно-космічна техніка та технологія |
| Subjects: | |
| Online Access: | http://nti.khai.edu/ojs/index.php/aktt/article/view/1750 |
| _version_ | 1797761170359189504 |
|---|---|
| author | Andrii Palonyi Viktoriia Kolivashko Anton Sitko |
| author_facet | Andrii Palonyi Viktoriia Kolivashko Anton Sitko |
| author_sort | Andrii Palonyi |
| collection | DOAJ |
| description | The subject matter of the article is the characteristics of learning styles of future air traffic controllers' practical learning at the basic training stage for the appropriate individual learning style formation. Besides, this study focuses on the adaptation processes of the future air traffic controllers' professional learning activities based on self-directed learning, conducted with the use of synthetic training devices in a pre-simulator training form, to the style preferences of students. The goal of the study is a method for adapting the future air traffic controllers' self-directed learning to the style characteristics of students during their pre-simulator training based on the proposed two-generic complex model of learning styles. The tasks: to explore some modern approaches to adaptive learning, taking into account the student’ style characteristics using computer-based learning systems and analyze the main models of learning styles; to develop a comprehensive model of learning styles for the future air traffic controllers' adaptive pre-simulator training and identify the key features characteristic of each style component in the context of future air traffic controllers' practical self-directed learning to make recommendations to avoid choosing inappropriate variants to implement individual learning strategies at the level of particular learning activities according to their inherent parameters of learning styles; to develop a general optimization model of adaptive learning to provide guarantees of the target practical skills level achievement by the future air traffic controller during a certain training cycle by adapting the content of the relevant individual learning strategies (selection of learning actions) to the students' style characteristics; to develop a conceptual model for adapting the future air traffic controllers' self-directed learning to their individual learning styles. The methods used are analysis, set and graph theory, optimization theory and mathematical modeling The following results were obtained. The presented conceptual model of adapting the future air traffic controllers' training activities to their style preferences based on self-directed learning can be applied in adaptive pre-simulator training, while providing the basis for determining the students' style characteristics to apply them at the stage of air traffic controller training in the "self-directed learning" mode". Conclusions. The scientific novelty of the results obtained is as follows: for the first time, a model of future air traffic controllers' individual learning styles was developed, unlike the existing ones it considers the specifics of air traffic controllers' pre-simulator and simulator training and covers the students' individual typological characteristics in a wide range: from cognitive to reflective style dimensions. The presented complex two-generic model of learning styles systematically combines two levels of adaptation of learning activities to the students' style preferences – the level of development of professional competencies and the level of development of self-directed learning skills. |
| first_indexed | 2024-03-12T19:10:01Z |
| format | Article |
| id | doaj.art-53d78935d74f4928a2b26576f7c90afd |
| institution | Directory Open Access Journal |
| issn | 1727-7337 2663-2217 |
| language | English |
| last_indexed | 2024-03-12T19:10:01Z |
| publishDate | 2022-08-01 |
| publisher | National Aerospace University «Kharkiv Aviation Institute» |
| record_format | Article |
| series | Авіаційно-космічна техніка та технологія |
| spelling | doaj.art-53d78935d74f4928a2b26576f7c90afd2023-08-02T06:00:11ZengNational Aerospace University «Kharkiv Aviation Institute»Авіаційно-космічна техніка та технологія1727-73372663-22172022-08-0104799810.32620/aktt.2022.4.091718The method for adaptation the future air traffic controllers’ self-directed learning to their style characteristics for automated adaptive pre-simulator training systemAndrii Palonyi0Viktoriia Kolivashko1Anton Sitko2Flight Academy of the National Aviation University, KropyvnytskyiFlight Academy of National Aviation University, KropyvnytskyiFlight Academy of National Aviation University, KropyvnytskyiThe subject matter of the article is the characteristics of learning styles of future air traffic controllers' practical learning at the basic training stage for the appropriate individual learning style formation. Besides, this study focuses on the adaptation processes of the future air traffic controllers' professional learning activities based on self-directed learning, conducted with the use of synthetic training devices in a pre-simulator training form, to the style preferences of students. The goal of the study is a method for adapting the future air traffic controllers' self-directed learning to the style characteristics of students during their pre-simulator training based on the proposed two-generic complex model of learning styles. The tasks: to explore some modern approaches to adaptive learning, taking into account the student’ style characteristics using computer-based learning systems and analyze the main models of learning styles; to develop a comprehensive model of learning styles for the future air traffic controllers' adaptive pre-simulator training and identify the key features characteristic of each style component in the context of future air traffic controllers' practical self-directed learning to make recommendations to avoid choosing inappropriate variants to implement individual learning strategies at the level of particular learning activities according to their inherent parameters of learning styles; to develop a general optimization model of adaptive learning to provide guarantees of the target practical skills level achievement by the future air traffic controller during a certain training cycle by adapting the content of the relevant individual learning strategies (selection of learning actions) to the students' style characteristics; to develop a conceptual model for adapting the future air traffic controllers' self-directed learning to their individual learning styles. The methods used are analysis, set and graph theory, optimization theory and mathematical modeling The following results were obtained. The presented conceptual model of adapting the future air traffic controllers' training activities to their style preferences based on self-directed learning can be applied in adaptive pre-simulator training, while providing the basis for determining the students' style characteristics to apply them at the stage of air traffic controller training in the "self-directed learning" mode". Conclusions. The scientific novelty of the results obtained is as follows: for the first time, a model of future air traffic controllers' individual learning styles was developed, unlike the existing ones it considers the specifics of air traffic controllers' pre-simulator and simulator training and covers the students' individual typological characteristics in a wide range: from cognitive to reflective style dimensions. The presented complex two-generic model of learning styles systematically combines two levels of adaptation of learning activities to the students' style preferences – the level of development of professional competencies and the level of development of self-directed learning skills.http://nti.khai.edu/ojs/index.php/aktt/article/view/1750адаптивне навчанняавіадиспетчерпередтренажерна підготовкасамоспрямоване навчанняавтоматизована система навчанняіндивідуальні стратегії навчаннястиль навчання |
| spellingShingle | Andrii Palonyi Viktoriia Kolivashko Anton Sitko The method for adaptation the future air traffic controllers’ self-directed learning to their style characteristics for automated adaptive pre-simulator training system Авіаційно-космічна техніка та технологія адаптивне навчання авіадиспетчер передтренажерна підготовка самоспрямоване навчання автоматизована система навчання індивідуальні стратегії навчання стиль навчання |
| title | The method for adaptation the future air traffic controllers’ self-directed learning to their style characteristics for automated adaptive pre-simulator training system |
| title_full | The method for adaptation the future air traffic controllers’ self-directed learning to their style characteristics for automated adaptive pre-simulator training system |
| title_fullStr | The method for adaptation the future air traffic controllers’ self-directed learning to their style characteristics for automated adaptive pre-simulator training system |
| title_full_unstemmed | The method for adaptation the future air traffic controllers’ self-directed learning to their style characteristics for automated adaptive pre-simulator training system |
| title_short | The method for adaptation the future air traffic controllers’ self-directed learning to their style characteristics for automated adaptive pre-simulator training system |
| title_sort | method for adaptation the future air traffic controllers self directed learning to their style characteristics for automated adaptive pre simulator training system |
| topic | адаптивне навчання авіадиспетчер передтренажерна підготовка самоспрямоване навчання автоматизована система навчання індивідуальні стратегії навчання стиль навчання |
| url | http://nti.khai.edu/ojs/index.php/aktt/article/view/1750 |
| work_keys_str_mv | AT andriipalonyi themethodforadaptationthefutureairtrafficcontrollersselfdirectedlearningtotheirstylecharacteristicsforautomatedadaptivepresimulatortrainingsystem AT viktoriiakolivashko themethodforadaptationthefutureairtrafficcontrollersselfdirectedlearningtotheirstylecharacteristicsforautomatedadaptivepresimulatortrainingsystem AT antonsitko themethodforadaptationthefutureairtrafficcontrollersselfdirectedlearningtotheirstylecharacteristicsforautomatedadaptivepresimulatortrainingsystem AT andriipalonyi methodforadaptationthefutureairtrafficcontrollersselfdirectedlearningtotheirstylecharacteristicsforautomatedadaptivepresimulatortrainingsystem AT viktoriiakolivashko methodforadaptationthefutureairtrafficcontrollersselfdirectedlearningtotheirstylecharacteristicsforautomatedadaptivepresimulatortrainingsystem AT antonsitko methodforadaptationthefutureairtrafficcontrollersselfdirectedlearningtotheirstylecharacteristicsforautomatedadaptivepresimulatortrainingsystem |