AI for Education & EdTech

Educators and instructional staff learn to apply AI to teaching, content, and learning support responsibly. The course covers lesson and content design, feedback and grading aids, academic integrity, and accessibility. Learners finish able to use AI to support students without undermining integrity.

What this course covers

The course runs across 10 topics, each one a short adaptive session rather than a recorded lecture. The tutor explains the idea, works an example, checks understanding, and adjusts the next step to the answer given.

Foundations of Responsible AI in Education — Examine the ethical considerations of AI in the classroom, focusing on data privacy (FERPA/GDPR), algorithmic bias, and the boundaries of human-in-the-loop oversight.
Hands-On Lesson and Curriculum Design — Learn prompt engineering techniques to draft comprehensive lesson plans, align activities to standards, and generate creative classroom hooks directly in an AI tool.
Generating Differentiated Content — Practice using AI to adapt reading materials, scaffold vocabulary, and generate varied practice problems for students with diverse learning needs.
Configuring AI as a Guided Tutor — Design and test system prompts that configure AI as a scaffolding tutor rather than an answer-generator, ensuring active student cognitive load.
AI-Assisted Feedback and Rubric Alignment — Explore how to feed rubrics and student work into AI to generate constructive, personalized draft feedback while verifying accuracy and tone.
Designing AI-Resilient Assessments — Analyze strategies to reformulate assignments, shifting focus from rote memorization to critical thinking, process-based portfolios, and authentic assessments.
Navigating Academic Integrity and AI Detection — Understand the limitations and high false-positive rates of AI detectors, and practice navigating conversations with students suspected of unauthorized AI use.
Promoting Accessibility and Inclusion — Apply AI to generate image alt-text, translate materials for English Language Learners, and simplify complex instructional texts for varying reading levels.
Teaching Students AI Literacy and Fact-Checking — Develop mini-lessons to teach students how to identify AI hallucinations, cross-reference sources, and critically evaluate AI-generated information.
Drafting and Implementing Classroom AI Policies — Establish clear, transparent guidelines for student AI usage, aligning class norms with institutional policies and ethical boundaries.

Skills you build

Results are measured against named skills in the OneRange taxonomy of more than 10,000 skills, so a manager sees proficiency per skill rather than a completion tick. This course maps to Working with AI Tools, AI Literacy, Education Technology (EdTech) Strategy, Accessibility in Learning Design (A11y), Grading & Feedback Strategies, Academic Integrity Policy Management, AI Tool Usage.

Working with AI Tools
AI Literacy
Education Technology (EdTech) Strategy
Accessibility in Learning Design (A11y)
Grading & Feedback Strategies
Academic Integrity Policy Management
AI Tool Usage

Who it is for

Educators, instructional staff. The material is pitched at intermediate level, and takes roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

It sits in the Industry: Education track of the Vero AI Catalog, and can be assigned to one person, a team, or the whole company.

How it is delivered and assessed

Delivery is conversational and interactive, including branching scenario, guided lab exercises. There is no video to sit through and no slide deck to click past.

Understanding is checked with a lab assessment of 5 items, with a pass mark of 70%.

Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Frequently asked questions

How long does this course take?

It runs roughly 120 minutes at a typical pace. Because every session adapts, someone who already knows a topic moves through it quickly instead of sitting through an explanation they do not need.

How is it assigned to a team?

An administrator assigns it from the Vero dashboard to one person, a team, a department or the whole company, and sees progress and results per person and per skill.

Can we customise it with our own documents and terminology?

Yes. Administrators can copy this course into their own library and adapt it — edit the outline, change the duration, swap the assessment format, or ground it in internal documentation so answers cite the company's own source material.

Course code IND-EDU.