The LICQual Level 1 Award in Artificial Intelligence in Education and Learning is a foundational course designed to introduce learners to the transformative role of AI in modern educational environments. As artificial intelligence continues to revolutionize multiple industries, the education sector is experiencing significant changes in how teaching, learning, and administrative processes are conducted.
This course equips participants with the essential knowledge and practical understanding of how AI technologies are applied in classrooms, learning management systems, and personalized learning platforms. It lays the groundwork for future exploration into advanced educational technologies.
The course delves into the fundamental concepts of AI, exploring how machine learning algorithms, intelligent tutoring systems, and natural language processing are reshaping learning outcomes and student engagement. Participants will gain a thorough appreciation for the ethical, social, and pedagogical implications of AI in education.
By understanding key tools and platforms used to deploy AI-driven learning solutions, learners will be better positioned to participate in or lead AI integration efforts within their academic or training institutions. This award serves as a stepping stone for educators, curriculum designers, and e-learning professionals seeking to stay ahead of digital transformation in education.
Structured over two intensive days of study, the LICQual Level 1 Award in Artificial Intelligence in Education and Learning offers six comprehensive units, totaling 6 credits and 12 Guided Learning Hours (GLH). The content is tailored to meet international educational standards and is ideal for individuals with a basic understanding of digital tools who wish to expand their capabilities. Participants will explore practical applications such as adaptive learning environments, AI-assisted assessment tools, and student data analytics—all critical elements in developing intelligent and inclusive learning ecosystems.
By the end of the course, learners will be able to critically assess the potential benefits and challenges of using AI in education, identify suitable AI tools for specific learning needs, and understand the importance of data privacy and algorithmic fairness. The course encourages active participation through scenario-based learning, collaborative discussions, and real-world case studies. This dynamic approach ensures that learners are not only absorbing theoretical concepts but also gaining actionable insights for immediate application in their respective fields.
Whether you are a teacher, trainer, instructional designer, education technologist, or policy maker, the LICQual Level 1 Award in Artificial Intelligence in Education and Learning provides an essential introduction to the future of education.
As AI continues to influence every facet of the learning journey, this course ensures that participants are equipped with the foundational skills to navigate and contribute to the evolving educational landscape. Investing in this qualification is a strategic move toward fostering smarter, more adaptive, and inclusive learning environments.
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.
