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Science of Learning with Artificial Intelligence (AI) Workplace Programme Design

  • Artificial Intelligence
  • Innovation & Business Improvement
  • Basic
  • SkillsFuture
  • Short Courses
  • This module is part of Industry Graduate Diploma in AI-Enabled Workplace & Workforce Transformation

This module is conducted on-campus and online.

To use your SkillsFuture Credit, please submit your claim through our payment portal. Do not submit the claim manually via the SkillsFuture page. Please refer to our step-by-step guide here.

Next course starts on
To be advised
Fee
SGD2,616* (as low as SGD304.80 after maximum funding) Learn More
Duration

2 days
Weekdays (9am - 6pm)

Level
Basic
Venue

Singapore Management University

Who Should Attend

  • Business Leaders
  • Human Resource (HR) managers
  • Business Analysts
  • Consultants
  • Product Managers
  • Business Professionals involved in organisational improvement initiatives

PREREQUISITES

There are no formal prerequisites for enrolment in this programme. As this programme is conducted in English, participants should be proficient in reading, writing, and communicating in English.

Overview

This 16-hour course equips workplace learning practitioners such as Learning and Development (L&D) professionals, trainers, and instructional designers, with practical appreciation of how science of learning can be applied to workplace learning through the thoughtful use of technology and Artificial Intelligence (AI).

Participants will explore key principles of Science of Learning, and how these principles support adult, workplace-based learning in a professional setting, and how tech tools can be used to support engagement, retention, and transfer of learning. Through real-world examples, the course introduces a range of technology-enabled and AI-enhanced approaches, while also addressing ethical considerations and data privacy.

Participants will apply their learning through experiential, blended, and inquiry-based approaches. They will design and facilitate learning experiences that combine face-to-face and digital modalities and leverage digital tools for collaborative inquiry and research. At the end of the course, participants will be able to design a workplace learning module that integrates Science of Learning principles with technology and AI in a responsible, learner-centred way, aligned to the needs of adult learners and organisational contexts.
 

Learning Objectives

At the end of the 2-day course, participants will be able to: 

  • Apply principles from andragogy and Science of Learning to design effective, experiential, and applicable workplace learning experiences
  • Design blended learning experiences that integrate Technology-Enhanced Learning (TEL) and Artificial Intelligence (AI) to support self-directed learning, personalisation and assessment
  • Facilitate inquiry-based and experiential learning activities using digital and AI-enabled resources to promote workplace learning

Topic/Structure

 

Day 1 – Foundations of Science of Learning & TEL/ AI (Online - 8 hours)


1. Welcome, Orientation & Course Overview (0.5 hours)

  • Introductions and participant expectations
  • Overview of course goals, structure, and assessments

2. Science of Learning in Adult Education & Workplace Learning (2 hours)

Content Focus:

  • Andragogy principles (e.g., self-direction, readiness, and relevance)
  • Cognitive science foundations (e.g., attention, memory, retrieval practice, cognitive load, and spaced learning)
  • Application to workplace contexts
  • Case examples from corporate and public sector training

3. Technology-Enhanced Learning (TEL) in Workplace Learning (1.5 hours)

Content Focus:

  • TEL framework and modalities
  • How TEL supports self-directed and blended learning
  • Designing learning flow using multimodal formats

4. Overview of Artificial Intelligence (AI) in Adult Education (1.5 hours)

Content Focus:

  • What AI is (and isn’t) in learning
  • AI capabilities vs limitations

5. Examples of Educational AI Tools (2 hours)

Content Focus:

  • Adaptive learning platforms
  • Chatbots for coaching and micro-feedback
  • Automated assessment
  • Learning analytics for personalised learning pathways
Day 2 - Designing & Facilitating AI-Enhanced, Inquiry-Based Learning (On-campus - 8 hours)


1. Recap and Setting Up for Day 2 (0.5 hours)

  • Review of key insights from Day 1
  • Overview of Day 2 objectives and project expectations

2. Designing Blended Learning Experiences (2 hours)

Content Focus:

  • Integrating face-to-face and digital modalities
  • Chunking content and aligning learning outcomes with modalities
  • Selecting the right tech for learning purposes

3. Facilitating Inquiry-Based & Experiential Learning Using AI Tools (2 hours)

Content Focus:

  • Inquiry-based learning approaches
  • Problem-based and experiential design principles
  • Using AI tools to support inquiry (e.g., search, research synthesis, ideation, and knowledge-building)

4. Ethical Considerations & Data Privacy in AI-Enabled Learning (1.5 hours)

Content Focus:

  • Data privacy principles (e.g., Personal Data Protection Act (PDPA) and General Data Protection Regulation (GDPR) basics as relevant)
  • Responsible AI & transparency
  • Bias, copyright, and accuracy risks
  • Ethical use guidelines for Learning and Development (L&D) professionals

5. Capstone: Designing an AI-Enabled Workplace Learning Module (2 hours)

Content Focus:

  • Integrating Science of Learning, TEL, and AI into a cohesive learning module
  • Embedding inquiry, experiential elements, and appropriate AI use

6. Course Closure (0.5 hours)

  • Key takeaways
  • Post-course reflection form
  • Next steps toward course launch (e.g., content development and Skills and Workforce Development Agency (SWDA) submission timeline)

Assessment

As part of the requirement for Skills and Workforce Development Agency (SWDA), there will be an assessment conducted at the end of the course. Participants are required to attain a minimum of 75% attendance and pass the associated assessment in order to receive a digital Certificate of Completion.

Calculate Programme Fee

Click here for more information about SkillsFuture Credits (Not applicable for Company-sponsored participants)
For PSEA - Available only for Singapore Citizen below 31 (Not applicable for Company-sponsored participants)

Total Program Fee: SGD0.00

Fee Table

EMPLOYER-SPONSORED

PARTICIPANT PROFILE

SELF-SPONSORED

SME

NON-SME

Singapore Citizen < 40 years old

Permanent Resident

LTVP+

$784.80

(After SWDA Funding 70%)

$304.80

(After SWDA Funding 70%
+ ETSS Funding 20%)

$784.80

(After SWDA Funding 70%)

Singapore Citizen ≥ 40 years old

$304.80

(After SWDA Funding 70%
+ MCES Funding 20%)

$304.80

(After SWDA Funding 70%
+ ETSS Funding 20%)

$304.80

(After SWDA Funding 70%
+ MCES Funding 20%)

International Participant

$2,616

(No Funding)

$2,616

(No Funding)

$2,616

(No Funding)

All prices include 9% GST

Please note that the programme fees are subject to change without prior notice.

SkillsFuture Level-Up Programme for Mid-Career Individuals
A SkillsFuture Credit (Mid-Career) top-up of $4,000 will be provided to Singaporeans aged 40 years and above to further offset out-of-pocket course fees for this programme.

Post Secondary Education Account (PSEA)
PSEA can be utilised for subsidised programmes eligible for SkillsFuture Credit support. Click here to find out more.

Self Sponsored

SkillsFuture Credit

Singapore Citizens aged 25 and above may use their SkillsFuture Credits to pay for the course fees. The credits may be used on top of existing course fee funding.

This is only applicable to self-sponsored participants. Application to utilise SkillsFuture Credits can be submitted when making payment for the course via the SMU Academy TMS Portal, and can only be made within 60 days of course start date.

Please click here for more information on the SkillsFuture Credit. For help in submitting an SFC claim, you may wish to refer to our step-by-step guide on claiming SkillsFuture Credits (Individual).

Workfare Skills Support Scheme

From 1 July 2023, the Workfare Skills Support (WSS) scheme has been enhanced. Please click here for more details.

Employer Sponsored

Enhanced Training Support for SMEs (ETSS)

  • Organisation must be registered or incorporated in Singapore
  • Employment size of not more than 200 or with annual sales turnover of not more than $100 million
  • Trainees must be hired in accordance with the Employment Act and fully sponsored by their employers for the course
  • Trainees must be Singapore Citizens or Singapore Permanent Residents
  • Trainees must not be a full-time national serviceman
  • Trainees are eligible for ETSS funding only if their company's SME status is approved prior to the course commencement date. To verify your SME's status, please click here. 

Please click here for more information on ETSS.

Absentee Payroll

Employers who sponsor their employees for the course may apply for Absentee Payroll here. For more information, please refer to:

AP Guide (Non-SME Companies)
Declaration Guide (SME Companies)

Intake Information

Next Intake: To be advised

*Registration will close 5 calendar days before the course start date, or once the class is full, whichever comes first.

Trainers

Dr. Yeo Wee Loon
Senior Assistant Director (Faculty Development)
Centre for Teaching Excellence, SMU
Dr. Yeo Wee Loon
Senior Assistant Director (Faculty Development)
Centre for Teaching Excellence, SMU

Wee Loon currently oversees Faculty Development initiatives including training programmes for new SMU instructors and PhD candidates. He also actively engages with faculty members to support their teaching through workshops, consultations, and peer support. An educator at heart, Wee Loon has worked in the education sector for more than 15 years, where he had the privilege of engaging with diverse groups of learners including International Baccalaureate students, Polytechnic students, Undergraduates and Postgraduates.  He was also part of the team that designed and conducted courses for adult learners as part of Republic Polytechnic’s inaugural Special Diploma Programme. Wee Loon graduated with a PhD in Anthropology and Sociology from the University of Western Australia.

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