Leveraging AI Social Listening to Enhance Instructor-Learner Engagement in Aviation Private Pilot License Training

Nathan Ehambara, Anna Matushkina, Mariia Tolokonnikova

Research output: Contribution to specialist publicationAIB Review - scholarly output

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Abstract

“Monitoring sees trees; listening sees the forest” – Dan Neely
This phrase emphasises the need for a broader perspective in understanding complex systems. In Aviation Private Pilot (PPL) training, conventional approaches to participation and evaluation sometimes provide surface-level insights, ignoring learning difficulties and creating gaps. Artificial Intelligence (AI) social listening (SL) offers a great chance to close these gaps. AI can find real-time patterns, sentiment changes, and unfulfilled student demands by examining digital conversations and behavioural signals across forums, social media, and training platforms. Therefore, institutions, instructors, and learners can utilise these insights to conform to the overarching aviation industry and International Civil Aviation Organisation strategic objectives, such as to enhance training methodologies, optimise resource allocation, and develop operational lessons that promote enduring resilience and sustainability. Hence, this article discusses the integration of AI SL aids in creating
adaptable, future-oriented, sustainable, operationally resilient training systems.
Original languageEnglish
No.14
Specialist publicationAIB Review
Publication statusPublished - 23 Jun 2025

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