Group 5 Staff PL Day Reflections by

2025-09-12 05:43:30 UTC

Use of AI-powered imaging to guide surgical procedures, such as showing surgeons where to drill or cut. This innovation reduces human error, enhances precision, and supports safer, more effective clinical outcomes. It gives professionals real-time insights to improve decision-making. However, a potential issue is the over-reliance on technology, which may reduce opportunities for professionals to gain hands-on experience, intuition, and confidence in decision-making without technological aid.

2025-09-12 08:02:56 UTC

Increased large scale smart robots

2025-09-12 08:03:42 UTC

Expose students to how AI is applied in real world. Teach students the basics of Python programming.

2025-09-12 08:04:26 UTC

Foresight and scenario planning

Two plans were drafted, one that is long term covering 50 years, and a second more granular plan focusing on the next 10-15 years only. This is excellent for our student’s goalsetting and how they can plan for their own future.

2025-09-12 08:05:23 UTC

Excellent use of student interactions tools integrated with AI. AI very clearly shown to be the end point but rather a process and tool for the overall planning process.

2025-09-12 08:05:37 UTC

I feel that students need to increase their social and communicative skills in the face of increasing digital and remote spaces.

2025-09-12 08:05:53 UTC

Using the metaspace to experiment with conceptualisations before the actual production and assembly of the car

2025-09-12 08:05:58 UTC

Students must learn to balance leveraging AI as a supportive tool while still develop critical thinking skills, and the ability to adapt when technology is unavailable or limited. Quoting from Joel’s slide “Don’t outsource your thinking. Outsource your grunt work.”

2025-09-12 08:06:51 UTC

Holistic engagement of multiple perspectives where various stakeholders across many disciplines were consulted to create a dream future for Singapore

2025-09-12 08:07:03 UTC

Automation & smart factories: Robotics and AI working alongside humans in highly efficient production systems.

• Sustainability focus: Use of green energy, circular economy practices, carbon reduction — showing how industries embed environmental responsibility.

• Human–machine collaboration: Not about replacing jobs, but creating new roles where creativity, empathy, and complex decision-making remain human strengths.

• Interdisciplinary skills: Success requires blending engineering, data science, design thinking.

2025-09-12 08:09:33 UTC

1) Smart usage of technology increase efficiency, productivity and precision

2) Collaboration between different industries for sustainability efforts.

2025-09-12 08:11:18 UTC

Curriculum redesign: Move from siloed subjects to more interdisciplinary learning (tech + design + ethics).

• Emphasise digital fluency: Students need comfort with data, AI, coding, and digital platforms as baseline skills.

• Nurture adaptability: Learning how to learn, unlearn, and reskill will be more important than mastering one fixed skillset.

• Project- and problem-based learning: Real-world challenges, industry case studies, and innovation labs could become core learning modes.

• Collaboration skills: Working in diverse, global, cross-disciplinary teams mirrors how industries now innovate.

• Stronger industry–education partnerships: More experiential exposure — e.g., internships, joint projects, innovation showcases.