Improving vocational guidance through an expert system: Temporary decreasing and enhancing student self-awareness.
Holland test
expert system
vocation
vocational guidance
Journal
F1000Research
ISSN: 2046-1402
Titre abrégé: F1000Res
Pays: England
ID NLM: 101594320
Informations de publication
Date de publication:
2024
2024
Historique:
accepted:
15
03
2024
medline:
21
6
2024
pubmed:
21
6
2024
entrez:
21
6
2024
Statut:
epublish
Résumé
The vocational guidance process in educational institutions faces important challenges in managing trials and errors in diagnoses. Technological tools are identified as an effective solution to address these problems. This research seeks to improve career guidance in educational institutions through the implementation of an expert system. The main objective is to reduce test processing time and achieve greater efficiency in students' self-knowledge regarding their interests, based on the personalities of the Holland Test. The development of the expert system followed a six-model approach. First, an organisational model was created to assess the scope and feasibility of the project. Next, a task and agent model was developed to investigate the impact and look for improvements. A knowledge model was then developed to analyse the relevant knowledge bases. A communication model was also developed to evaluate the communication interface of the system. Next, a design model was created to provide guidelines for the implementation of the system. Finally, the implementation of the knowledge system was carried out to ensure its correct functioning. The implementation of the expert system has shown significant improvements in the vocational guidance process. It was possible to reduce the time needed to apply the test, thus optimising the psychologist's time and allowing a greater capacity for analysis. In addition, an improvement in the effectiveness of the students' self-knowledge in relation to their vocational interests based on the personalities of the Holland Test was observed. This study contributes to career guidance in educational institutions by introducing an innovative expert system. This technological solution optimizes the career guidance process, benefiting psychologists administering tests and students seeking self-knowledge about their career interests.
Sections du résumé
Background
UNASSIGNED
The vocational guidance process in educational institutions faces important challenges in managing trials and errors in diagnoses. Technological tools are identified as an effective solution to address these problems. This research seeks to improve career guidance in educational institutions through the implementation of an expert system. The main objective is to reduce test processing time and achieve greater efficiency in students' self-knowledge regarding their interests, based on the personalities of the Holland Test.
Methods
UNASSIGNED
The development of the expert system followed a six-model approach. First, an organisational model was created to assess the scope and feasibility of the project. Next, a task and agent model was developed to investigate the impact and look for improvements. A knowledge model was then developed to analyse the relevant knowledge bases. A communication model was also developed to evaluate the communication interface of the system. Next, a design model was created to provide guidelines for the implementation of the system. Finally, the implementation of the knowledge system was carried out to ensure its correct functioning.
Results
UNASSIGNED
The implementation of the expert system has shown significant improvements in the vocational guidance process. It was possible to reduce the time needed to apply the test, thus optimising the psychologist's time and allowing a greater capacity for analysis. In addition, an improvement in the effectiveness of the students' self-knowledge in relation to their vocational interests based on the personalities of the Holland Test was observed.
Conclusions
UNASSIGNED
This study contributes to career guidance in educational institutions by introducing an innovative expert system. This technological solution optimizes the career guidance process, benefiting psychologists administering tests and students seeking self-knowledge about their career interests.
Identifiants
pubmed: 38904071
doi: 10.12688/f1000research.145109.1
pmc: PMC11187528
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
232Informations de copyright
Copyright: © 2024 Huayta-Gómez J and Pacheco A.
Déclaration de conflit d'intérêts
No competing interests were disclosed.