AI Design Studio: Iterative Lesson Design for Adult Learning with GenAI

Training Provider: Institute for Adult Learning (IAL)
Course Reference: TGS-2026066081
S$195
Original: S$650
Save S$455

About This Course

Many educators can prompt AI to produce a lesson outline, but generic outputs often don’t reflect learner needs, sound pedagogy, inclusive design, or organisational quality expectations. This CPD is positioned for educators, trainers, and learning developers who want to use GenAI as a design collaborator while keeping professional judgement at the centre.

Participants work with realistic lesson-design examples, a fit-for-purpose pedagogical template (Merrill's First Principles), AI-generated lesson variants, and a Mayer-based multimedia review process. The focus is on educator-facing lesson planning: diagnosing the instructional context, selecting an appropriate design structure, testing alternatives, and making defensible decisions about what to keep, change, or reject.

The course is deliberately tool-agnostic. Instead of locking participants into one platform, it introduces an adaptable workflow for generating, comparing, auditing, and consolidating AI-assisted lesson designs. Participants leave with a final lesson plan, a lightweight design worksheet, and reusable prompts/templates. These outputs can be used as repeatable design assets for future course refresh, lesson redesign, or peer review of AI-assisted courseware.

ADAPT alignment: 1.1 Design & Planning, 3.2 Critical Evaluation & Information Quality, 3.4 Resource Creation, and 3.6 Accessibility & Sustainability at Intermediate level.

What You'll Learn

This one-day Intermediate Continuous Professional Development (CPD) course helps adult educators, trainers, facilitators, and learning developers use GenAI as an iterative design partner for lesson planning, not as a one-shot lesson generator. The central problem addressed is that AI-generated lesson plans can appear complete while still being weak in learner fit, sequencing, cognitive load, accessibility, or evidence of learning.

The course is framed around adult education lesson design where participants analyse an instructional context, select a fit-for-purpose pedagogical template such as Merrill's First Principles of Instruction, and use Design Thinking to generate, prototype, test, and refine AI-assisted lesson variants.

Participants will also evaluate AI-generated lesson materials using Mayer's multimedia principles, with accessibility and information-integrity checks so that outputs are inclusive, coherent, and suitable for the intended learners.

Participants complete an individual written assignment during the course and submit it through Google Classroom, producing practical evidence they can adapt for their own adult education, training, or learning development workflow.

Within the Institute for Adult Learning-Artificial Intelligence Singapore (IAL-AISG) ADAPT Certification Series, this Intermediate course builds on the GenAI fundamentals and responsible-use practice from the Tier 1 (Basic) courses (W1 and W2) and prepares participants for W4 (AI Formative Assessment Studio) and the Tier 3 (Advanced) courses, developing ADAPT proficiencies across Design & Planning (1.1), Critical Evaluation & Information Quality (3.2), Resource Creation (3.4), and Accessibility & Sustainability (3.6).

Entry Requirements

• Adult educators, trainers, and facilitators who design or refresh lessons, workshops, activities, or learner resources.
• Learning designers, instructional designers, and curriculum developers working on adult learning programmes.
• Learning and Development (L&D) practitioners and workplace trainers who need to convert expertise into structured learning experiences with appropriate AI support.
• Programme leads, senior facilitators, and quality reviewers responsible for courseware quality, accessibility, and learner fit.
• Subject matter experts involved in course development, learning-resource creation, or facilitation planning.

Course Details

Duration 7 hours
Language English
Training Commitment Part Time
Total Enrolled New course
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