AI-Supported Teaching and Learning Course

Name: AI-Supported Teaching and Learning Practice Course
Availability: InStock

Design lessons, resources, learner support, assessment, and feedback with responsible AI use and clear educator oversight.

AI-Supported Teaching and Learning Course

At a glance

Duration: 5 days
Format: Classroom
Cities: Sharm El-Sheikh, Baku, Tokyo, Abu Dhabi, Marbella, London and more
Next session: 5 – 9 October 2026, Sharm El-Sheikh
Average fee: 5,800 €

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AI-Supported Teaching and Learning Practice Course

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Overview

AI-Supported Teaching and Learning Practice Course is a five-day course for teachers, academic coordinators, instructional designers, learning technology teams, and education quality personnel, who leave with an AI-Supported Teaching Implementation Plan. Participants design lessons and activities, review resources, support learners, plan formative assessment and feedback, address academic integrity and accessibility, and maintain educator oversight. Agile Leaders Training Center provides training in AI-supported teaching and learning practice.

Who Should Attend

Teaching personnel responsible for lessons, activities, learner guidance, and classroom decisions
Academic coordination personnel responsible for curriculum alignment, assessment, and teaching quality
Instructional design personnel responsible for learning activities, resources, and course structure
Learning technology personnel responsible for digital tools, access, and educator support
Education quality personnel responsible for evidence, review, integrity, and improvement

The course assumes participants contribute to teaching or learning design, and it leaves out education policy, school administration, general digital transformation, and technical AI development.

Departments and Industries

The course supports responsible AI-assisted practice across education and workplace learning.

Schools and classroom teaching functions
Universities and academic departments
Vocational and professional learning providers
Curriculum and instructional design teams
Corporate learning and development functions
Education quality and learning technology teams

Learning Objectives

By the end of this course, participants will be able to:

Apply a suitability screen to teaching and learning cases
Build lesson and activity designs with educator oversight
Evaluate AI-assisted learning resources and learner support
Use formative assessment and feedback tools
Analyze integrity, accessibility, privacy, and bias risks
Build an AI-Supported Teaching Implementation Plan

Course Agenda

Day 1: Teaching Use Cases and Oversight

AI Teaching Use-Case and Suitability Map
Learning Purpose and Educator Decision Canvas
Human Oversight and Intervention Matrix
Learner Impact and Participation Screen
Responsible Use Boundary Checklist

Day 2: Lessons, Activities, and Resources

AI-Assisted Lesson Design Canvas
Learning Activity Alignment Grid
Learning Resource Accuracy Review Checklist
Source, Context, and Bias Review Sheet
Educator Approval and Revision Record

Day 3: Learner Support and Accessibility

Learner Need and Support Planning Map
Personalization Boundary Decision Guide
Learning Accessibility and Inclusion Screen
Student Question and Guidance Workflow
Support Escalation and Human Handoff Log

Day 4: Assessment, Feedback, and Integrity

Formative Assessment Design Sheet
Feedback Quality and Actionability Rubric
Assessment Evidence Verification Checklist
Academic Integrity Response Guide
Learning Progress and Adjustment Record

Day 5: AI-Supported Teaching Practice

Suggested Exercise: Screen a Teaching Use Case
Suggested Exercise: Design and Review a Lesson Activity
Suggested Exercise: Build Learner Support and Accessibility Steps
Suggested Exercise: Review Assessment, Feedback, and Integrity Evidence
Capstone Exercise: AI-Supported Teaching Implementation Plan

Practical Exercises

The course uses suggested activities that convert teaching cases into responsible AI-supported practice.

Suggested activity: map a teaching case, learning purpose, educator decisions, learner impact, and responsible-use boundaries
Suggested activity: design a lesson activity, review resource accuracy and bias, and record educator revisions
Suggested activity: plan learner support, check accessibility, route questions, and document human handoffs
Suggested activity: design formative assessment, review feedback, verify evidence, and address an integrity concern

FAQs

Who suits AI-supported teaching and learning practice, and what does it assume?

AI-supported teaching and learning practice suits personnel responsible for lessons, curriculum, resources, learner support, assessment, feedback, quality, or learning technology. It assumes familiarity with teaching or learning responsibilities.

How does AI-supported teaching differ from instructional design training?

AI-supported teaching focuses on educator use of AI across lessons, resources, learner support, assessment, feedback, integrity, accessibility, and oversight, while instructional design training centers on the broader design of learning experiences.

How can educators review AI-assisted learning resources?

Educators should check accuracy, source quality, context, bias, accessibility, curriculum alignment, learner suitability, privacy boundaries, and required revisions before using an AI-assisted resource.

How should AI support formative assessment and feedback?

AI should assist with question design, evidence organization, feedback drafting, and learning-pattern review while educators verify evidence, interpret learner needs, and retain responsibility for judgments.

What belongs in an AI-Supported Teaching Implementation Plan?

The plan should contain selected use cases, learning purposes, lesson tools, resource checks, learner-support steps, assessment and feedback controls, integrity responses, accessibility checks, oversight roles, and review measures.

Conclusion

Participants take back an AI-Supported Teaching Implementation Plan linking learning purposes, lesson activities, resources, learner support, assessment, feedback, integrity, accessibility, and oversight. It changes how educators select, review, and control AI-supported teaching practices. The plan supports traceable classroom decisions and continued human responsibility.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

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Showing 61-76 of 76 events

Location	Dates	Duration	Mode	Price
Madrid	Week 29, 2027 19 – 23 July 2027	5 Days	Onsite	€5,700
Cairo	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€4,100
Amsterdam	Week 30, 2027 26 – 30 July 2027	5 Days	Onsite	€5,700
Milan	Week 31, 2027 2 – 6 August 2027	5 Days	Onsite	€5,700
Munich	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€5,700
Nairobi	Week 32, 2027 15 – 19 August 2027	5 Days	Onsite	€4,500
Rome	Week 33, 2027 16 – 20 August 2027	5 Days	Onsite	€5,700
Al Jubail	Week 33, 2027 22 – 26 August 2027	5 Days	Onsite	€5,700
Chicago	Week 34, 2027 29 August – 2 September 2027	5 Days	Onsite	€12,000
Frankfurt	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Langkawi	Week 36, 2027 12 – 16 September 2027	5 Days	Onsite	€6,000
Amsterdam	Week 38, 2027 20 – 24 September 2027	5 Days	Onsite	€5,700
Kuwait	Week 38, 2027 26 – 30 September 2027	5 Days	Onsite	€5,500
Paris	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€5,700
Doha	Week 39, 2027 3 – 7 October 2027	5 Days	Onsite	€5,500
Barcelona	Week 40, 2027 4 – 8 October 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewAI-Supported Teaching and Learning Practice Course is a five-day course for teachers, academic coordinators, instructional designers, learning technology teams, and education quality personnel, who leave with an AI-Supported Teaching Implementation Plan. Participants design lessons and activities, review resources, support learners, plan formative…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

AI-Supported Teaching and Learning Course