In the age of digital transformation, integrating Artificial Intelligence (AI) into education is revolutionizing how learners engage, educators teach, and institutions deliver effective learning experiences. The LICQual Level 2 Diploma in Artificial Intelligence in Education and Learning is designed for educators, teaching assistants, trainers, and education professionals who wish to advance their understanding of AI and its practical applications in teaching and learning environments.
This course builds on foundational AI knowledge, equipping learners with skills to implement intelligent learning tools, adaptive learning systems, and data-driven educational strategies. Participants will explore AI technologies that enhance student engagement, improve learning outcomes, and support personalized learning pathways. Key areas include intelligent tutoring systems, AI-assisted assessment, learning analytics, and ethical considerations in AI deployment.
Through a blend of theory and hands-on practical activities, learners will gain the confidence to integrate AI tools into classrooms, e-learning platforms, and training programs effectively. The course emphasizes practical application, ensuring participants can translate AI knowledge into real-world educational improvements.
By completing the Level 2 Diploma in Artificial Intelligence in Education and Learning, learners will enhance their professional competencies, enabling them to lead AI-driven initiatives, support innovative teaching practices, and contribute to the future of digital education. This diploma serves as a stepping stone for higher-level AI education qualifications, preparing participants to become proficient and forward-thinking educators in AI-integrated learning environments.
Course Overview
Qualification Title
LICQual Level 2 Diploma in Artificial Intelligence in Education and Learning
Total Units
6
Total Credits
36
GLH
120
Qualification #
LICQ2200510
Qualification Specification
To enroll in the LICQual Level 2 Diploma in Artificial Intelligence in Education and Learning applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200510-1 |
Strategic Implementation of AI in Educational Institutions |
6 |
20 |
|
LICQ2200510-2 |
Evaluating AI’s Impact on Institutional KPIs |
6 |
20 |
|
LICQ2200510-3 |
AI for Curriculum Mapping and Design Optimization |
6 |
20 |
|
LICQ2200510-4 |
Learning Analytics and Decision Support Systems |
6 |
20 |
|
LICQ2200510-5 |
Industry Collaboration: EdTech and AI Development |
6 |
20 |
|
LICQ2200510-6 |
Capstone Project: AI Strategy Proposal for an Institution |
6 |
20 |
By the end of this course,applicants will be able to:
1. Strategic Implementation of AI in Educational Institutions
- Develop strategic plans for integrating AI across teaching, administration, and support systems.
- Identify key resources, stakeholders, and readiness factors for successful AI adoption.
2. Evaluating AI’s Impact on Institutional KPIs
- Analyze how AI tools influence institutional performance indicators such as retention, engagement, and learner achievement.
- Apply evaluation methods to assess the effectiveness of AI solutions on operational and educational KPIs.
3. AI for Curriculum Mapping and Design Optimization
- Use AI tools to streamline curriculum development and align learning outcomes with student needs.
- Evaluate curriculum structures for opportunities to implement adaptive and personalized AI-enhanced content.
4. Learning Analytics and Decision Support Systems
- Interpret learning analytics data to support evidence-based decisions in teaching and learning.
- Utilize AI-powered decision support systems to enhance educational planning and interventions.
5. Industry Collaboration: EdTech and AI Development
- Explore collaboration models between educational institutions and EdTech companies.
- Identify trends and opportunities in AI development through industry engagement and partnerships.
6. Capstone Project: AI Strategy Proposal for an Institution
- Design and present a comprehensive AI integration strategy tailored to a specific educational institution.
- Demonstrate the ability to align AI implementation with institutional goals, policy frameworks, and learner outcomes.
This diploma is ideal for:
- Education managers responsible for driving digital transformation in academic institutions
- School principals and administrators seeking to implement AI strategies across departments
- Curriculum developers aiming to optimize course design using AI-driven tools
- Instructional designers looking to align learning content with real-time data analytics
- Academic coordinators involved in strategic planning and performance evaluation
- Education consultants advising institutions on AI adoption and integration
- Quality assurance officers assessing AI’s impact on educational KPIs and institutional goals
- EdTech professionals collaborating with academic institutions on AI-based solutions
- Learning and development managers in corporate training environments
- Policy makers and education strategists shaping AI frameworks in schools and colleges
- Project managers overseeing technology implementation in educational settings
- Data analysts and academic researchers applying AI for decision-making and evaluation
- ICT specialists supporting AI infrastructure within educational organizations
- Teachers and trainers interested in transitioning into AI-focused leadership roles
- Higher education administrators preparing for large-scale AI transformation initiatives
- Professionals in NGO and international education programs exploring scalable AI adoption
- Entrepreneurs and innovators in the educational technology sector
- Government education officers managing national or regional digital education agendas
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.