3E in AI: Education, Elderly, and Environment

Overview

In today’s rapidly evolving world, Artificial Intelligence (AI) is reshaping how we approach social and environmental challenges. This course focuses on the three critical “E” areas—Education, Elderly care, and Environment—where AI has transformative potential. Attendees will explore AI's role in enhancing educational outcomes, improving elderly care, and supporting environmental sustainability, preparing them to apply these technologies for societal benefits.

Course Introduction

This workshop introduces participants to the power of AI in addressing societal needs across education, elderly care, and environmental conservation. Through hands-on activities and real-world case studies, participants will gain insights into how AI can be applied to promote social good and drive sustainable change.

Objectives

Upon completion of this workshop, participants will be able to:

• - Understand how AI is used to support personalized learning and enhance educational systems.
• - Explore AI tools that monitor health and well-being for the elderly, reducing isolation and improving quality of life.
• - Identify AI-driven strategies for environmental conservation, climate change modeling, and pollution management.
• - Gain practical experience with AI tools relevant to the fields of education, elderly care, and environmental sustainability.

Programme Outline

Learning Objectives 1.0: Introduction to AI and its Social Impact

• - Understanding the Basics of AI: AI terminology and concepts explained simply
• - Overview of AI’s applications in social good
• - AI’s Role in Addressing Social and Environmental Issues
• - Case studies: Successful AI implementations in education, elderly care, and environmental conservation
• - Interactive discussion: Key areas of AI impact in social sectors

Learning Objectives 2.0: AI in Education

• - Personalized Learning and Adaptive Educational Tools
• - Exploring AI-driven educational platforms (e.g., adaptive learning platforms, virtual tutoring systems)
• - Benefits of personalized learning for students of all abilities
• - Case Studies: AI in Education
• - Interactive Activity: Challenges in Current Educational Systems and AI Solutions

Learning Objectives 3.0: AI for Elderly Care

• - AI Applications in Health Monitoring and Quality of Life
• - AI technologies for health tracking, fall detection, and emergency alerts
• - Examples of AI applications in elderly care and companionship (e.g., chatbots for mental health, interactive assistants)
• - Combatting Social Isolation with AI Tools
• - Hands-On Activity: Exploring AI Tools for Elder Support

Learning Objectives 4.0: AI for Environmental Sustainability

• - AI for Climate Modeling and Prediction
• - Using AI to predict environmental changes and develop proactive conservation strategies
• - Pollution Control and Resource Conservation with AI
• - Group Exercise: Brainstorming AI-Driven Solutions for Environmental Challenges

Methodologies

• - Lectures and Presentations: Structured information delivery on AI’s applications in education, elderly care, and environmental sustainability.
• - Interactive Discussions: Participants discuss and share insights on AI’s potential in social impact.
• - Case Studies and Real-World Examples: In-depth look at successful applications of AI in each sector.
• - Hands-On Exercises: Practical exploration of AI tools for education, elderly care, and environmental sustainability.
• - Group Activities and Brainstorming: Collaborative exercises focused on applying AI solutions to real-world problems.

Duration

One-day (7 hours)

Trainer Profile

Melvyn Tan is a renowned AI strategist and business transformation expert based in Singapore, celebrated for his trailblazing approach in integrating AI across multiple sectors. With over two decades of experience advising senior executives and leaders from over 370 organizations—including prominent names like Brother International Singapore Pte Ltd, IHH Healthcare, Mabanaft Pte. Ltd., Sartorius Stedim Singapore Pte Ltd, Tenaga Nasional Berhad, CelcomDigi Berhad, AmMetLife Insurance Berhad, Yale-NUS College, Singapore Sports School, School of the Arts, and Bennett University in Greater Noida, India—Melvyn has established himself as a pivotal figure in leveraging AI to drive operational efficiency, innovation, and profitability.

As a thought leader in AI, Melvyn empowers organizations to harness AI’s transformative potential in finance, HR, marketing, and communication. His strategic frameworks and bespoke AI tools help organizations automate repetitive tasks, enhance decision-making, and elevate productivity. By guiding leaders to deploy AI that aligns with business objectives, he helps clients achieve measurable results and sustainable competitive advantage.

Melvyn holds both a Bachelor’s and Master’s degree in Business (Applied Economics) from Nanyang Technological University, with a specialization in Total Factor Productivity. He is also WSQ Advanced Certificate in Training and Assessment (ACTA) certified, underscoring his commitment to delivering cutting-edge training in AI and workflow automation.

By aligning AI capabilities with organizational goals, Melvyn helps businesses redefine their workflows in finance, HR, marketing, and communication. His visionary approach continues to position him as a trusted advisor and authoritative figure in AI-driven business transformation.