Real-Task Project Pilot
An authorised enterprise brief, a course or an interdisciplinary student team. Proposed outputs include a decision recommendation, teaching tasks and rubrics, and individual capability evidence.
UNIVERSITY COOPERATION
Working with universities
Start with one course, one team or one specific question, and agree the task, conditions and assessment approach together.
01 · OPTIONS
Working with universities
International industry practice for engineers
With Singapore as a base, explore industrial AI applications, enterprise tasks and cross-cultural collaboration subject to partner and project conditions. Settings, participants and delivery are agreed for each project.
Joint research
Small research pilots around enterprise tasks, capability assessment and feedback. Participants agree the questions and output formats together.
02 · PATHWAY
An indicative cooperation process
Exchange ideas
Discuss academic priorities and existing conditions.
Select a question and direction
Confirm task owners, information and teaching arrangements.
Run the pilot
Keep process records, work products and assessment grounds.
Review possible continuation
Review the results before deciding on regular cooperation.
03 · TIMING
Indicative timing
A project may begin with about two weeks of task selection followed by 8–12 weeks of work. Timing adjusts to the academic calendar, task difficulty and resources; it is not a fixed delivery promise.
04 · OUTPUTS
Proposed project outputs
Proposed project outputs
Analysis or recommendations for a specific question, reviewed by the task owner.
Reusable teaching tasks
Briefs, activities and criteria reviewed by teachers and used for improvement.
Individual capability evidence
Separate team results from individual work and retain assessment, feedback and revisions.
05 · AGREEMENTS
Agree before starting
Scope, responsibilities, resource contributions and fees are agreed for each project. Tasks and cases require authorisation. Research results, IP, technology transfer and cross-border data follow university rules and applicable procedures. The use of university names and marks is agreed separately.
Agree which AI tools and data may be used. Do not upload confidential enterprise information or personal data to external models without authorisation. Learners disclose AI assistance and explain key conclusions themselves.
06 · NEXT
Resources
Cooperation options, Enterprise Capability Translation, responsibilities and contact details.