26BAS-DWI02-012304
AI IN ACTION RESEARCH (ATLAS.TI, LITERATURE REVIEW, GAPS ANALYSIS)
INFORMATION SESSION WEBINAR
26BAS-DWI02-012304
AI IN ACTION RESEARCH (ATLAS.TI, LITERATURE REVIEW, GAPS ANALYSIS)
INFORMATION SESSION WEBINAR
Date of Conduct: January 23, 2026 (Friday)
Course Description:
In today's rapidly evolving digital landscape, the integration of advanced technologies plays a crucial role in shaping industries, improving efficiency, and fostering innovation. This collection of topics provides insights into emerging AI tools, trends, and best practices that are redefining the way workforce operate and deliver value.
Objectives:
● Optimize people and process management through digital systems that enhance efficiency, talent effectiveness, employee engagement, and workforce capability.
● Apply grounded AI tools effectively in education by differentiating NotebookLM from general chatbots and using source-based AI to ensure accuracy, reliability, and instructional relevance.
● Transform raw and multimedia content into high-quality learning resources by generating audio overviews, structured lesson materials, study guides, and summaries from text and video sources.
● Integrate Artificial Intelligence ethically and critically into action research by using AI-assisted tools for literature review, qualitative analysis, and gap identification while upholding methodological rigor and research integrity.
● Design and implement an AI-enabled action research workflow that supports systematic inquiry, reflective practice, and evidence-based decision-making in school- and practice-based contexts.
● Demonstrate Canva proficiency by applying design fundamentals and best practices to develop effective visual content for digital communication.