Artificial Intelligence and Education: AI in Learning

Oxford Home Study Centre offers this free Artificial Intelligence and Education course for people exploring how AI may support teaching, learning and educational administration. It focuses on five defined applications: personalised learning, content creation and curation, assessment and feedback, and classroom management and support.

The Level 3 programme has a recorded duration of 200 hours and is delivered online. Enrolment is ongoing and no formal entry requirements are listed, making it accessible to educators, teaching assistants, trainers, administrators and general learners interested in education technology.

Browse all online courses at OHSC, compare the wider artificial intelligence course range, or explore other options in the dedicated free AI category.

Who Is This Course Suitable For?

The programme may suit teachers, teaching assistants, education managers, workplace trainers, instructional designers, administrators and learners considering education-related technology. Those who are completely new to the subject can first take the AI Basics course.

Human Oversight in Education

AI can support preparation and administration, but teaching depends on professional knowledge, relationships, context and responsibility. Automated outputs should be checked carefully, particularly where they affect assessment, accessibility, safeguarding, personal data or decisions about an individual learner. Educational organisations must apply their own policies and legal obligations.

For wider background, read the OHSC guide to how AI is transforming education. The article explores sector trends, while this course page remains focused on enrolment and its five-module syllabus.

Frequently Asked Questions

Is this course only for qualified teachers?

No. It is open to all and may also suit support staff, trainers, administrators and general learners.

Does the course qualify me to teach?

No. It develops knowledge of AI applications in education and does not award qualified teacher status or another regulated teaching credential.

Does the course promote replacing teachers with AI?

No. It examines supporting applications and reinforces the importance of human judgement, safeguarding and accountability.

Is an optional certificate included free?

No. Learning access is free; CPD and QLS certificate options are separately priced.

Explore AI in Education Responsibly

Build a practical understanding of AI-supported learning, content, assessment and administration while recognising the decisions that must remain under informed human control.

By the end of this course the learner will be able to:

Understand the foundational concepts of artificial intelligence and its role in education.
Explore historical and current trends in AI applications within the educational sector.
Learn how AI technologies enable personalized learning pathways for students.
Investigate case studies on adaptive learning platforms and student success.
Explore the use of AI in automating educational content creation.
Understand how AI assists in curating resources that meet diverse learning needs.
Discover AI tools that provide real-time feedback and assessments for students.
Learn how AI can help in tracking student progress and personalizing feedback.
Understand how AI technologies can improve classroom management.
Explore AI solutions that offer support for educators, from planning lessons to managing administrative tasks.

Course access, online materials and assessment are free. Following successful completion, learners may purchase either a CPD-accredited certificate issued through the CPD Standards Office or a QLS-endorsed certificate issued by the Quality Licence Scheme.

The certificate routes have separate fees. Review the latest certificate types and prices before ordering. Certification is optional; this course is not an Ofqual-regulated teaching qualification, teaching licence or professional registration route.

COURSE CONTENT

Topics Covered in the Course

Module 1: Introduction to AI in Education

Explore the roles AI can play in learning environments and distinguish practical tools from exaggerated claims. The module considers potential benefits alongside accuracy, privacy, accessibility and implementation concerns.

Module 2: AI-Enhanced Personalised Learning

Examine how systems may adapt content, pace or recommendations using learner data. You will also consider why personalisation requires appropriate data, inclusive design and continued oversight by educators.

Module 3: AI in Educational Content Creation and Curation

Consider how AI can assist with drafting, organising and recommending learning resources. The module emphasises curriculum alignment, source checking, accessibility and review for age, context and learner need.

Module 4: AI for Student Assessment and Feedback

Explore automated marking, performance analysis and feedback support. Learners consider where automation may save time and where validity, fairness, transparency or a student's circumstances require human judgement.

Module 5: AI in Classroom Management and Support

Study applications involving scheduling, attendance, communication and administrative support. The module examines how these tools can assist staff without transferring safeguarding or consequential decisions to an unaccountable system.

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