ALX 2025 Presentations


The conference presentation slides are available for download in pdf format.

*materials are available for downloading as permitted by the presenters.



Keynote 1 - From Wow to How: Unleashing Human Brilliance with AI


Dr. Klara Jelinkova

Vice President and University Chief Information Officer

Harvard University


This keynote explored how AI is reshaping content creation, learning experiences, and institutional operations, while also redefining how knowledge is generated, shared, and applied across disciplines. It delved into how human creativity can be a key ingredient in creating human centered AI-powered processes. It also examined the critical challenges and opportunities presented by AI, with a focus on strategies that enable organisations to effectively balance technological innovation with human expertise and navigate the complexities of this rapidly evolving era.


Keynote 2 - Workplace Transformation Reshaped by the AI Advantage


Ms. Sim Cher Whee

Vice President of People Strategy, Technology & Talent Acquisition

Micron Technology


As artificial intelligence (AI) reshapes industries, how can businesses and professionals stay ahead? This keynote uncovered how AI is transforming the workplace today, and shed light on the evolving skills and emerging competencies needed to stay relevant in an AI-driven world. It also discussed the strategies for reskilling employees for AI-enhanced positions and addressed the challenges in integrating AI, from managing resistance to building trust in AI technologies, offering practical insights for leaders navigating these changes.


Keynote 3 - A Human-Centric Approach to AI Adaptation: Managing Constant Changes and Sustaining Growth


Dr Simon See

Solution Architect

Engineering Senior Director

Global Head for NVIDIA AI Technology Centre

NVIDIA


As artificial intelligence continues to impact workplace and learning, how can we ensure that human remains at the heart of this transformation? This keynote explored how to keep human development at the forefront of AI adaptation, particularly in adult learning and professional growth. It examined strategies on how AI can complement rather than replace human skills, with a focus on cultivating critical thinking, creativity, and emotional intelligence alongside AI integration. 


Keynote 4 : Elevating Professional Learning Evaluation in the Era of Generative AI


Dr. Thomas Guskey

Professor Emeritus
University of Kentucky


In today’s fast-evolving education landscape, leaders must demonstrate that their investments in professional learning result in meaningful improvements in the practices of educators and, ultimately, in the performance of learners. This keynote unpacked the key factors behind impactful professional learning and introduces the five essential levels of professional learning evaluation. 


It explored actionable insights on how to apply these evaluation levels, establish meaningful success indicators, and leverage evidence to enhance all forms of professional development, especially in an era increasingly shaped by Generative AI.


Concurrent Session 1a: Synergistic Content Creation by Humans and AI for Spatial Learning Experiences


Mr. Yethoven Tukimin
Head of Solutions Architect, APAC
Meta Reality Labs


AI is revolutionising content creation, but the best results arise from a synergy between human creativity and AI efficiency. This session explored how AI tools enhance, rather than replace, human ingenuity in content production specifically for the immersive extended reality (XR) medium. It discussed real-world applications of AI in writing and media design, highlighting where AI excels and where human intervention is crucial.


The session also addressed the common pitfalls of AI-assisted content creation—such as over-reliance on automation and ethical considerations—offering actionable strategies to maintain authenticity while delivering the desired outcomes of your spatial learning and development experiences.


Concurrent Session 1b: Deep Tech Skills Beyond ChatGPT to Thrive in the New AI Era


Dr. Michal Polanowski

Head of Generative AI, AI & Data Analytics Strategic Technology Centre Group Technology Office

ST Engineering


As AI reshapes the world at lightning speed, mastering basic prompt engineering is no longer enough.  This session explored the critical technologies and mindsets needed to stay ahead. It dived into the frontier of embodied AI—where robotics brings intelligence into the physical world—and how digital twins and simulation enable safe, scalable experimentation. 


It also explored agentic AI, where systems don't just respond but plan, act, and adapt autonomously. It introduced a three-pillar system to build deep tech fluency: theoretical grounding to understand the "why," practical partnerships with researchers and developers for hands-on exploration, and on-the-job learning to apply knowledge in real-world contexts.


Concurrent Session 1c: AI-Augmented Teaching and Learning – A Holistic Approach to Support Learners and Instructors in Applied Learning


Dr. Karin Avnit
Associate Professor, Deputy Director (EdTech), SIT Teaching and Learning Academy (STLA)
Singapore Institute of Technology (SIT)


In an era marked by rapid technological transformation, the integration of Artificial Intelligence (AI) into education presents unprecedented opportunities to enhance both teaching and learning experiences. This session explored a holistic approach to AI-augmented education, focusing specifically on applied learning in higher education in which the emphasis is on realistic problem solving and authentic assessment.


It examined the different aspects of teaching and learning in which AI can potentially improve current practices, and how they may be able to complement each other to form a holistic learner-centric approach, which is also manageable and meaningful to instructors. 


Concurrent Session 2a: AI in Workforce Transformation: Lessons from the Security Sector


Dr. Jaclyn Lee, PhD and IHRP-MP

Chief Human Resources Officer
Chief Executive, Certis Corporate University
Certis Group


As AI continues to transform industries, organisations must equip their workforce with the right skills to stay competitive. This session explored how Certis prepares its employees for the AI-driven future, integrating AI into daily operations to enhance efficiency, decision-making, and innovation. It delved into the key strategies for building AI capabilities, including structured learning programmes, hands-on applications, and leadership-driven initiatives. This session also discussed insights into fostering a culture of continuous learning and adaptation, ensuring employees can effectively leverage AI tools.


Concurrent Session 2b: AI-Driven Learning and Business Innovation in Adult Education


Mr. Frederick Neo

Senior Manager (Data Analyst), Centre for Workplace and Learning Innovation

IAL


Ms. Delphine Foo

Chief Legal Officer and Senior Director, Learning and Professional Development Division

Singapore Academy of Law (SAL)


This session discussed the state of innovation within the training and adult education sector in Singapore, and the conditions that need to be met for training organisations to become innovative. It explored whether AI can support these enabling conditions—highlighting SAL’s success story in leveraging AI to reduce resource demands, optimise skills utilisation, and extend high-quality training to a broader learner base.


Concurrent Session 2c: Gen AI-powered Teaching & Learning Assistants in Flipped Learning


Mr. Paul Ng

Senior Education Fellow, Centre for Learning and Teaching Excellence

Mr. Steven Lim

Senior Lecturer, School of Business & Accountancy

Mr. Paul Chang

Senior Lecturer, School of Business & Accountancy

Ngee Ann Polytechnic (NP)

 

This session examined how NP leverages Gen AI-powered Teaching & Learning Assistants to enhance flipped learning, supporting both online async learning and in-person tutorials as virtual co-facilitators.
 
The case study highlighted Gen AI as a Learning Assistant in the Law & Governance (CET) and Business Law (PET) modules from the School of Business & Accountancy. It explored how a Gen AI tutor provides 24/7 personalised support, guiding students through case-based learning with real-time feedback to deepen their understanding and application of legal concepts.

 


Concurrent Session 3a: Workplace Transformation: Augmenting Human Decision-Making

 

Dr. Sng Hock Lin

Chief of Silver Generation Office

Agency for Integrated Care (AIC)

 

Organisations are adopting digital transformation with AI and technology for enhanced productivity. The key concern is embracing high tech leads to low (human) touch. It needs not be binary - we could adopt an "AND" instead of "OR" mindset in embracing learning and digital transformation. 


This session delved into Silver Generation Office's holistic approach to embrace Digital Transformation in value-adding their staff, volunteers and supporting our older adults. 


Concurrent Session 3b: Unlocking Insights: Equipping Training Providers with Analytical Dashboards for Strategic Decision-Making

 

Dr. Albert Liau

Head Analyst, Office for Skills-First Practices

IAL

 

Ms. Cassandra Wong

Jobs-Skills Analyst, Jobs-Skills Insights Division

SkillsFuture Singapore

 

Labour market intel are useful in helping training providers (TPs) make informed decisions on curriculum and capacity planning, design and review. This session introduced the Jobs-Skills (JS) Portal, SkillsFuture Singapore's one-stop platform for jobs-skills resources, showcasing how a training provider may utilise jobs-skills resources in their daily operations, providing insights into practical applications for fellow training providers.
 
It also provided a sneak preview into future jobs-skills dashboards and a teaser to a capability development programme to equip TPs with the know-how to use these dashboards.


Concurrent Session 3c: Achieving Competency-based Learning with LLMs

 

Dr. Ben Leong

Associate Professor, School of Computing, National University of Singapore

Chief Data Officer, AI Singapore, 

Director, AI Centre for Educational Technologies

 

Modern workplaces are becoming increasingly complex and there is an urgent need for higher education to align classroom instruction with the practical demands of professional workplaces. Recent advances in generative AI (GenAI) offer an opportunity to implement role play in higher education, since Large Language Models (LLMs) today can mimic human behaviours very well. 


This session explored NUS's use of LLMs to simulate realistic workplace interactions and generate context-rich scenarios that allow learners to learn domain-specific skills.  This includes role-playing scenarios with LLMs for diverse domains such as law and nursing to bridge the gap between academic instruction and workplace readiness.


Fireside Chat

 

Dr. Klara Jelinkova

Vice President and University Chief Information Officer

Harvard University

 

This fireside chat explored a multifaceted institutional approach to Artificial Intelligence amidst its rapid advancement. The discussion covered AI strategy, ethical governance and organisational change management within an academic setting, addressing issues like bias, environmental impact and fostering institutional agility. Offering valuable perspectives on AI's complexities, intellectual property protection and the future of academic work, the session aimed to illuminate strategies for navigating AI's transformative potential while keeping human brilliance central.


Masterclass

 

Dr. Thomas Guskey

Professor Emeritus
University of Kentucky

 

Educators today struggle in their efforts to implement meaningful and efficient grading and reporting practices. This Masterclass delved into the history of grading and reporting, the use of online grading programs, and research on effective grading and reporting policies and practices. It examined the importance of fairness, honesty and equity in grading and described ways to ensure meaningful communication between educators and adult learners. It further highlighted procedures to implement competency-based grading model and the policies and practices to avoid due to their negative consequences for key stakeholders.