The LICQual Level 1 Diploma in Artificial Intelligence in Education and Learning is an entry-level qualification designed to introduce learners to the foundational concepts, applications, and ethical considerations of AI in educational settings.
As artificial intelligence continues to reshape the way educators teach and students learn, this diploma offers a practical and theoretical gateway into the world of intelligent technologies in education. Whether used in classrooms, virtual learning environments, or institutional management, AI is rapidly becoming an essential tool for improving educational delivery and engagement.
This program equips learners with a strong understanding of how AI tools and platforms support personalized learning, automate educational processes, and enhance accessibility.
Through structured units, learners will gain insight into adaptive learning technologies, AI-driven assessment tools, virtual tutors, and intelligent content management systems. The LICQual Level 1 Diploma in Artificial Intelligence in Education and Learning also provides essential awareness of data privacy, algorithmic bias, and ethical practices in AI deployment.
Learners will actively explore real-world applications of AI in primary, secondary, and higher education, as well as corporate and adult learning contexts. With scenario-based exercises and interactive assignments, the diploma fosters both conceptual understanding and practical confidence in using AI within diverse educational environments.
By the end of the course, participants will be able to identify suitable AI tools for specific educational challenges, understand the core mechanisms of AI functionality, and evaluate the benefits and risks associated with its integration.
This diploma helps learners build digital literacy while preparing them to participate in or support AI-led innovation initiatives within their institutions. Learners will also develop the ability to communicate AI concepts effectively to peers and stakeholders in an educational context.
The LICQual Level 1 Diploma in Artificial Intelligence in Education and Learning is ideal for aspiring teachers, teaching assistants, instructional designers, and education professionals with limited exposure to AI.
It is also valuable for administrators and support staff involved in digital learning transformation. As educational systems evolve with emerging technologies, this diploma ensures learners are equipped with the foundational knowledge and awareness needed to engage with and contribute to AI-enhanced learning environments.
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.
