The Educational Guidance Platform via Artificial Intelligence Chatbot to Promote Vocational Aptitude for Vocational Students
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Notice bibliographique
Résumé
The educational guidance platform via artificial intelligence chatbot to promote vocational aptitude for vocational students or the educational guidance platform via AI Chatbot is a research tool that was designed with the combination of educational guidance process, artificial intelligence technology, and chat platforms like LINE and Messenger. The platform in this study is intended primarily to be used as a tool to analyze vocational aptitude and provide personalized educational advice, which will assist learners to choose suitable programs for further study in vocational education level. This study were aimed to (1) study and synthesis the conceptual framework of the educational guidance platform via AI Chatbot, (2) develop the educational guidance platform via AI Chatbot, and (3) evaluate the results of the developed the educational guidance platform via AI Chatbot. There were nine participants from different institutions included in this research, derived by means of purposive sampling, and with experience in the design and development application. The research instruments include (1) the architecture the educational guidance platform via AI Chatbot, and (2) evaluation form on the architecture the educational guidance platform via AI Chatbot. The results of this study, which were derived from the study on the prototype design of the architecture of the educational guidance platform via AI Chatbot, are designated to be used as a guideline for future studies in order to develop the educational guidance platforms via AI Chatbot that can be put in practical use in an effective manner. The results of this study show that the overall suitability of the development of the architecture of the educational guidance platform via AI Chatbot is at strongly agree level. Nevertheless, there are still some research gaps in this study that need to be further addressed in the future. For instance, the future studies should cover a wider range of application of the developed platforms by conducting the survey with more diverse population and broader educational environments. This is to confirm the suitability of the development of the architecture of the educational guidance platforms via AI Chatbot that can be used as a guideline for future development coupled with the related technologies.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle