As technology transforms the world of education, understanding and applying Artificial Intelligence (AI) in learning environments has become essential for educators, trainers, and learning enthusiasts. The LICQual Level 1 Diploma in Artificial Intelligence in Education and Learning offers an accessible, beginner-friendly pathway into the exciting field of AI in education. This course is specifically designed for individuals seeking to explore AI concepts and their practical applications in teaching, learning, and educational administration.
Learners will gain foundational knowledge of AI technologies, including intelligent tutoring systems, adaptive learning platforms, and data-driven educational tools. The course emphasizes practical understanding, enabling participants to identify AI solutions that enhance student engagement, improve learning outcomes, and support personalized educational experiences. Ethical considerations, responsible AI usage, and the role of AI in shaping the future of education are also key areas of focus.
By the end of this diploma, learners will confidently apply AI principles to classroom strategies, e-learning platforms, and educational projects, making informed decisions about technology integration. This Level 1 Diploma in Artificial Intelligence in Education and Learning provides a solid foundation for professional growth, empowering educators, teaching assistants, and lifelong learners to embrace AI as a transformative tool in modern education.
Course Overview
Qualification Title
LICQual Level 1 Diploma in Artificial Intelligence in Education and Learning
Total Units
6
Total Credits
24
GLH
60
Qualification #
LICQ2200509
Qualification Specification
To enroll in the LICQual Level 1 Diploma in Artificial Intelligence in Education and Learning applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200509-1 |
Evolution of AI in the Education Sector |
4 |
10 |
|
LICQ2200509-2 |
Introduction to AI Programming Concepts (Non-technical) |
4 |
10 |
|
LICQ2200509-3 |
Tools for Content Personalization and Delivery |
4 |
10 |
|
LICQ2200509-4 |
AI and Student Behavior Mapping |
4 |
10 |
|
LICQ2200509-5 |
Blended Learning Environments Powered by AI |
4 |
10 |
|
LICQ2200509-6 |
AI Implementation Planning for Primary and Secondary Schools |
4 |
10 |
By the end of this course,applicants will be able to:
1. Evolution of AI in the Education Sector
- Describe the historical development and key milestones of AI in education.
- Identify current trends and future potential of AI in diverse educational environments.
2. Introduction to AI Programming Concepts (Non-technical)
- Understand basic AI programming concepts such as algorithms, data inputs, and outputs.
- Explain how non-technical users can engage with AI tools and platforms in education.
3. Tools for Content Personalization and Delivery
- Identify AI-based tools that support personalized learning paths and adaptive content delivery.
- Evaluate the benefits of content customization for different learner needs and styles.
4. AI and Student Behavior Mapping
- Explain how AI can analyze student behavior, participation, and learning patterns.
- Use basic AI tools to interpret learner data and support early interventions.
5. Blended Learning Environments Powered by AI
- Understand the structure and function of AI-supported blended learning models.
- Demonstrate how AI enhances both in-person and online learning experiences.
6. AI Implementation Planning for Primary and Secondary Schools
- Develop a basic AI integration plan suitable for a school environment.
- Identify key factors such as infrastructure, training, and ethical considerations for successful AI implementation.
This diploma is ideal for:
- Aspiring teachers looking to build foundational knowledge of AI in education
- Teaching assistants interested in supporting AI-enhanced classroom activities
- School administrators seeking to understand AI implementation in primary and secondary schools
- Instructional designers at the early stages of their careers exploring adaptive content delivery
- Education support staff involved in digital transformation initiatives
- Curriculum coordinators aiming to integrate AI tools into lesson planning
- Recent graduates entering the field of educational technology
- Professionals transitioning into the education sector with limited AI exposure
- IT support staff in schools wishing to understand educational applications of AI
- Community education workers promoting access to digital and AI-driven learning
- NGO professionals working on technology-based education projects
- Parents or tutors looking to use AI tools for personalized home learning
- Trainers and facilitators in informal education settings
- E-learning content developers beginning to explore AI integration
- Academic advisors interested in student performance mapping and analytics
- Education consultants starting to work with AI in institutional planning
- Vocational training staff involved in blended and technology-supported learning models
Assessment and Verification
All units within this qualification are subject to internal assessment by the approved centre and external verification by LICQual. The qualification follows a criterion-referenced assessment approach, ensuring that learners meet all specified learning outcomes.
To achieve a ‘Pass’ in any unit, learners must provide valid, sufficient, and authentic evidence demonstrating their attainment of all learning outcomes and compliance with the prescribed assessment criteria. The Assessor is responsible for evaluating the evidence and determining whether the learner has successfully met the required standards.
Assessors must maintain a clear and comprehensive audit trail, documenting the basis for their assessment decisions to ensure transparency, consistency, and compliance with quality assurance requirements.