The LICQual Level 1 Award in Artificial Intelligence in Education and Learning introduces learners to the transformative power of AI in modern educational environments. This foundational qualification is specifically designed to equip participants with essential knowledge of how artificial intelligence is being integrated into teaching methodologies, learner engagement strategies, and educational system management. With the growing global emphasis on digital transformation, this course provides a timely opportunity to understand AI’s impact on education at a fundamental level.
Throughout the course, learners will explore core AI concepts such as machine learning, natural language processing, intelligent tutoring systems, and data-driven decision-making in academic contexts. The LICQual Level 1 Award in Artificial Intelligence in Education and Learning emphasizes practical understanding through real-world examples, making it accessible even to those with limited technical backgrounds. The curriculum also highlights how AI tools can be used to personalize learning experiences, automate administrative processes, and enhance curriculum development.
This qualification is ideal for educators, administrators, academic support staff, and aspiring professionals looking to align their skills with future-ready educational technologies. The course helps learners build confidence in using AI tools ethically and responsibly, fostering innovation while ensuring inclusivity and learner engagement. By focusing on AI applications within classrooms and virtual learning environments, participants will gain insight into the evolving role of technology in educational success.
Delivered over a concise learning period, the LICQual Level 1 Award in Artificial Intelligence in Education and Learning provides six units worth 6 credits and includes 12 guided learning hours (GLH). It lays the groundwork for future progression into higher-level AI and EdTech qualifications, forming a stepping stone toward specialized careers in AI-driven education. With international standards in mind, this course ensures relevance across diverse learning contexts, from primary education to vocational training.
In summary, the LICQual Level 1 Award in Artificial Intelligence in Education and Learning offers a strategic entry point for understanding and applying AI in educational settings. Learners will leave with a solid foundation in AI theory and its practical implications for pedagogy and administration. This qualification is essential for anyone aiming to stay ahead in the digital education era, and it positions participants for future success in a technology-enriched academic landscape.
Course Overview
Qualification Title
LICQual Level 1 Award in Artificial Intelligence in Education and Learning
Total Units
6
Total Credits
6
GLH
12
Qualification #
LICQ2200503
Qualification Specification
To enroll in the LICQual Level 1 Award in Artificial Intelligence in Education and Learning applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200503-1 |
Introduction to Artificial Intelligence in Education |
1 |
2 |
|
LICQ2200503-2 |
Basic Terminologies and Tools of AI |
1 |
2 |
|
LICQ2200503-3 |
AI Applications in the Classroom |
1 |
2 |
|
LICQ2200503-4 |
Ethical Use of AI in Learning Environments |
1 |
2 |
|
LICQ2200503-5 |
AI-Based Educational Games and Apps |
1 |
2 |
|
LICQ2200503-6 |
Case Studies: AI Impact on Learner Engagement |
1 |
2 |
By the end of this course,applicants will be able to:
1. Introduction to Artificial Intelligence in Education
- Define artificial intelligence and its relevance to education.
- Identify key milestones and trends in the development of AI in educational contexts.
2. Basic Terminologies and Tools of AI
- Understand commonly used AI terms such as machine learning, algorithms, and neural networks.
- Recognize basic AI tools and platforms used in educational settings.
3. AI Applications in the Classroom
- Describe practical examples of AI tools supporting classroom instruction.
- Explain how AI can personalize learning experiences and automate routine teaching tasks.
4. Ethical Use of AI in Learning Environments
- Discuss key ethical concerns related to AI use in education, including bias and data privacy.
- Demonstrate an understanding of responsible AI practices in academic environments.
5. AI-Based Educational Games and Apps
- Identify popular AI-integrated educational games and mobile applications.
- Evaluate how such tools enhance student motivation, engagement, and learning outcomes.
6. Case Studies: AI Impact on Learner Engagement
- Analyze real-world case studies that demonstrate successful AI integration in education.
- Assess the impact of AI tools on student performance, participation, and overall engagement.
This diploma is ideal for:
- Educators seeking to understand how AI can enhance teaching and learning practices
- School administrators aiming to implement AI tools in institutional settings
- Curriculum developers interested in integrating AI-driven solutions into learning modules
- Instructional designers exploring innovative ways to personalize education
- E-learning professionals wanting to leverage AI technologies for better learner outcomes
- Education technology coordinators responsible for deploying digital tools in classrooms
- Teachers looking to stay updated with emerging trends in educational innovation
- Recent graduates aspiring to enter the field of educational technology
- Training facilitators aiming to enhance engagement through AI-based platforms
- Academic researchers investigating the impact of AI on learner behavior and performance
- Policy makers developing strategic frameworks for AI integration in schools
- Education consultants advising institutions on digital transformation
- Professionals transitioning into the edtech industry with a focus on AI
- Individuals with a general interest in the intersection of technology and education
- Parents or tutors exploring AI tools for personalized, at-home learning support
- Human resource trainers involved in digital learning and employee upskilling programs
- Community education officers and NGO workers involved in digital literacy initiatives
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.