Advancing NATO’s quality assurance education by implementing the ‘learn-watch-ask’ training model
The paper introduces a detailed analysis and a method of implementing the “Learn-Watch-Ask” (LWA) training model, as a potential solution, to enhance quality assurance training within NATO. By addressing the fast-evolving demands of specialized domains, the LWA model integrates digital tools with t...
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| Format: | Article |
| Language: | English |
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Carol I National Defence University Publishing House
2024-01-01
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| Series: | Bulletin of "Carol I" National Defense University |
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| Online Access: | https://revista.unap.ro/index.php/bulletin/article/view/1808 |
| _version_ | 1797337817153536000 |
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| author | Radu Emilian BĂLĂNESCU |
| author_facet | Radu Emilian BĂLĂNESCU |
| author_sort | Radu Emilian BĂLĂNESCU |
| collection | DOAJ |
| description |
The paper introduces a detailed analysis and a method of implementing the “Learn-Watch-Ask” (LWA) training model, as a potential solution, to enhance quality assurance training within NATO. By addressing the fast-evolving demands of specialized domains, the LWA model integrates digital tools with traditional teaching methods to create a learning experience that is responsive to the student`s needs. The model is comprised of three interdependent components: the Learn module, represented by a structured online course; the Watch module, supported by a specialized YouTube channel for enhanced visual understanding; and the Ask module, created with an AI-driven chatbot for interactive learning. This innovative approach supports diverse learning styles, offering 24/7 accessibility and effectiveness. The paper further digs deeper into the identified shortcomings of traditional training models, emphasizing the need for practical, visual, and interactive elements in modern education. It explores the integration of the IBM WatsonX Assistant as a conversational AI chatbot in the LWA model, highlighting its advantages in providing consistent, accurate, and user-friendly interactions over Generative Pre-trained Transformer (GPT) AI models. Additionally, a 7-step process for adapting the LWA model to various domains is outlined, as well as the description of a comprehensive continuous improvement loop for the IBM WatsonX Assistant, ensuring its relevance and efficiency in the rapidly evolving educational landscape. The LWA model, with its unique approach to modern educational techniques, not only enhances the learning experience for NATO’s Quality Assurance Course (S7-137) but also has the potential to be adapted across various specialized domains, promising a more effective and efficient workforce.
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| first_indexed | 2024-03-08T09:19:03Z |
| format | Article |
| id | doaj.art-6bea66b809e344beb59e9e23c73ff14a |
| institution | Directory Open Access Journal |
| issn | 2284-936X 2284-9378 |
| language | English |
| last_indexed | 2024-03-08T09:19:03Z |
| publishDate | 2024-01-01 |
| publisher | Carol I National Defence University Publishing House |
| record_format | Article |
| series | Bulletin of "Carol I" National Defense University |
| spelling | doaj.art-6bea66b809e344beb59e9e23c73ff14a2024-01-31T13:13:34ZengCarol I National Defence University Publishing HouseBulletin of "Carol I" National Defense University2284-936X2284-93782024-01-0112410.53477/2284-9378-23-52Advancing NATO’s quality assurance education by implementing the ‘learn-watch-ask’ training modelRadu Emilian BĂLĂNESCU0Direcția de Dezvoltare a Forțelor Întrunite, Comandamentul Aliat pentru Transformare, Norfolk, Statele Unite ale Americii The paper introduces a detailed analysis and a method of implementing the “Learn-Watch-Ask” (LWA) training model, as a potential solution, to enhance quality assurance training within NATO. By addressing the fast-evolving demands of specialized domains, the LWA model integrates digital tools with traditional teaching methods to create a learning experience that is responsive to the student`s needs. The model is comprised of three interdependent components: the Learn module, represented by a structured online course; the Watch module, supported by a specialized YouTube channel for enhanced visual understanding; and the Ask module, created with an AI-driven chatbot for interactive learning. This innovative approach supports diverse learning styles, offering 24/7 accessibility and effectiveness. The paper further digs deeper into the identified shortcomings of traditional training models, emphasizing the need for practical, visual, and interactive elements in modern education. It explores the integration of the IBM WatsonX Assistant as a conversational AI chatbot in the LWA model, highlighting its advantages in providing consistent, accurate, and user-friendly interactions over Generative Pre-trained Transformer (GPT) AI models. Additionally, a 7-step process for adapting the LWA model to various domains is outlined, as well as the description of a comprehensive continuous improvement loop for the IBM WatsonX Assistant, ensuring its relevance and efficiency in the rapidly evolving educational landscape. The LWA model, with its unique approach to modern educational techniques, not only enhances the learning experience for NATO’s Quality Assurance Course (S7-137) but also has the potential to be adapted across various specialized domains, promising a more effective and efficient workforce. https://revista.unap.ro/index.php/bulletin/article/view/1808digital transformation in educationadaptive learning technologiesmultimodal learningartificial intelligencee-learning modelsconversational AI chatbot in education and training. |
| spellingShingle | Radu Emilian BĂLĂNESCU Advancing NATO’s quality assurance education by implementing the ‘learn-watch-ask’ training model Bulletin of "Carol I" National Defense University digital transformation in education adaptive learning technologies multimodal learning artificial intelligence e-learning models conversational AI chatbot in education and training. |
| title | Advancing NATO’s quality assurance education by implementing the ‘learn-watch-ask’ training model |
| title_full | Advancing NATO’s quality assurance education by implementing the ‘learn-watch-ask’ training model |
| title_fullStr | Advancing NATO’s quality assurance education by implementing the ‘learn-watch-ask’ training model |
| title_full_unstemmed | Advancing NATO’s quality assurance education by implementing the ‘learn-watch-ask’ training model |
| title_short | Advancing NATO’s quality assurance education by implementing the ‘learn-watch-ask’ training model |
| title_sort | advancing nato s quality assurance education by implementing the learn watch ask training model |
| topic | digital transformation in education adaptive learning technologies multimodal learning artificial intelligence e-learning models conversational AI chatbot in education and training. |
| url | https://revista.unap.ro/index.php/bulletin/article/view/1808 |
| work_keys_str_mv | AT raduemilianbalanescu advancingnatosqualityassuranceeducationbyimplementingthelearnwatchasktrainingmodel |