The LICQual Level 3 Award in Artificial Intelligence in Education and Learning is an advanced qualification designed to equip professionals with in-depth knowledge and practical expertise in integrating artificial intelligence into contemporary educational environments. This course explores the strategic role of AI in shaping digital pedagogy, enhancing learning experiences, and transforming academic operations. As AI continues to influence the future of global education, this award enables participants to become thought leaders and innovators in AI-driven learning systems.
Through a comprehensive curriculum, the LICQual Level 3 Award in Artificial Intelligence in Education and Learning covers key concepts such as adaptive learning technologies, AI-powered data analytics, virtual teaching assistants, and intelligent assessment tools. Learners will examine how AI can be effectively deployed to support personalized education, automate instructional design, and predict student outcomes. The course also addresses the ethical dimensions of AI implementation, ensuring responsible and inclusive practices in the digital education space.
Designed for educators, academic leaders, instructional designers, and EdTech specialists, this qualification bridges the gap between theoretical understanding and real-world application. The course is structured into six specialized units, offering 6 credits and 18 guided learning hours (GLH). Participants will gain valuable insights into designing AI-enhanced learning strategies, implementing AI tools in blended and virtual classrooms, and leading digital transformation initiatives within their institutions.
The LICQual Level 3 Award in Artificial Intelligence in Education and Learning provides a practical and future-focused learning experience, aligned with international standards. Whether working in schools, universities, corporate training, or education consultancy, learners will acquire the competencies needed to influence and improve educational delivery through intelligent systems. This award also serves as a pathway to more advanced diplomas and certifications in AI and educational technology.
In conclusion, the LICQual Level 3 Award in Artificial Intelligence in Education and Learning offers a vital opportunity for professionals to lead innovation in digital education. By combining theoretical depth with practical application, this course prepares learners to harness the full potential of artificial intelligence for academic success and institutional growth. It is an essential qualification for those committed to driving excellence and efficiency in 21st-century education through AI.
Course Overview
Qualification Title
LICQual Level 3 Award in Artificial Intelligence in Education and Learning
Total Units
6
Total Credits
6
GLH
18
Qualification #
LICQ2200505
Qualification Specification
To enroll in the LICQual Level 3 Award in Artificial Intelligence in Education and Learning applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200505-1 |
AI-Driven Decision Making in Educational Planning |
1 |
3 |
|
LICQ2200505-2 |
Deep Learning Concepts for Education Professionals |
1 |
3 |
|
LICQ2200505-3 |
AI in Special Education and Inclusive Learning |
1 |
3 |
|
LICQ2200505-4 |
Creating AI-Enhanced Curricula |
1 |
3 |
|
LICQ2200505-5 |
Evaluating AI Tools for Pedagogical Effectiveness |
1 |
3 |
|
LICQ2200505-6 |
Future Trends: AI and the Evolution of Digital Learning |
1 |
3 |
By the end of this course,applicants will be able to:
1. AI-Driven Decision Making in Educational Planning
- Analyze how AI supports strategic decision-making in curriculum design, student tracking, and resource allocation.
- Apply data-driven insights to enhance institutional planning and learner success.
2. Deep Learning Concepts for Education Professionals
- Explain core deep learning techniques such as neural networks and their relevance to education.
- Assess how deep learning models can be applied to personalize learning and predict performance.
3. AI in Special Education and Inclusive Learning
- Evaluate how AI tools support learners with diverse needs, including disabilities and language barriers.
- Design inclusive learning strategies using AI-powered assistive technologies.
4. Creating AI-Enhanced Curricula
- Develop curriculum frameworks that incorporate AI tools for interactive and adaptive learning.
- Integrate AI into lesson planning to support differentiated instruction and continuous assessment.
5. Evaluating AI Tools for Pedagogical Effectiveness
- Critically assess the effectiveness and usability of AI applications in educational settings.
- Use evaluation metrics to select tools that align with instructional goals and learner needs.
6. Future Trends: AI and the Evolution of Digital Learning
- Explore emerging AI trends such as generative AI, immersive learning environments, and blockchain in education.
- Anticipate future challenges and opportunities presented by AI in shaping digital learning ecosystems.
This diploma is ideal for:
- Education leaders aiming to drive digital transformation through AI integration
- Senior teachers and academic coordinators seeking to implement AI-driven instruction strategies
- Curriculum developers designing AI-enhanced learning modules
- Instructional designers focusing on adaptive and personalized education solutions
- E-learning specialists responsible for digital content development and delivery
- Special education professionals looking to incorporate AI tools for inclusive learning
- Education technologists managing AI platforms and data systems in academic institutions
- Policy makers developing frameworks for ethical AI use in education
- Education consultants advising on AI implementation and impact assessment
- Training managers and facilitators in corporate learning environments
- Researchers studying the intersection of AI, pedagogy, and learner outcomes
- Edtech entrepreneurs developing AI-based educational tools and platforms
- Program directors overseeing digital transformation in schools, colleges, or training centers
- Academic advisors interested in leveraging data analytics for student performance forecasting
- Digital learning strategists exploring future trends in educational technology
- Government and NGO workers engaged in advancing inclusive and tech-enabled education
- Professionals transitioning into the education sector with a background in AI or data science
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.