Artificial Intelligence in Education
The LICQual Level 2 Award in Artificial Intelligence in Education and Learning is designed to help learners understand the growing role of artificial intelligence in modern education systems. Today, many educational institutions face challenges in improving teaching quality, student engagement, and personalised learning due to limited use of digital and AI-based tools. This gap has created a strong demand for individuals who can support and apply AI in educational environments.
This professional qualification provides learners with a clear introduction to artificial intelligence and its practical applications in teaching and learning processes. It is a career-focused training programme that builds foundational knowledge in AI-powered educational tools, digital learning platforms, and basic data-driven learning support methods. This qualification is delivered as a flexible online , making it suitable for beginners entering the field of educational technology.
The course focuses on essential skills such as understanding AI concepts, using AI tools in education, supporting digital classrooms, and applying ethical principles in technology-based learning environments. As an industry recognized course, it prepares learners for entry-level roles in education support, digital learning assistance, and EdTech environments, while also building a strong foundation for future progression in artificial intelligence and education technology.
Course Overview
Qualification Title
LICQual Level 2 Award in Artificial Intelligence in Education and Learning
Total Units
6
Total Credits
6
GLH
12
Qualification #
LICQ2200504
Qualification Specification
To enroll in the LICQual Level 2 Award in Artificial Intelligence in Education and Learning applicants must meet the following criteria:
|
Qualification# |
Unit Title |
Credits |
GLH |
|---|---|---|---|
|
LICQ2200504-1 |
Understanding Machine Learning in Education |
1 |
2 |
|
LICQ2200504-2 |
AI Tools for Personalized Learning |
1 |
2 |
|
LICQ2200504-3 |
Virtual Tutors and AI-Powered Feedback Systems |
1 |
2 |
|
LICQ2200504-4 |
Data Collection and Student Performance Analytics |
1 |
2 |
|
LICQ2200504-5 |
Ensuring Data Privacy in AI Applications |
1 |
2 |
|
LICQ2200504-6 |
Designing AI-Enabled Microlearning Experiences |
1 |
2 |
By the end of this course,applicants will be able to:
1. Understanding Machine Learning in Education
- Explain the role of machine learning algorithms in shaping educational systems.
- Identify key types of machine learning models used to support adaptive learning.
2. AI Tools for Personalized Learning
- Evaluate AI-driven platforms that support individualized learning paths.
- Apply basic techniques for implementing personalized instruction using AI tools.
3. Virtual Tutors and AI-Powered Feedback Systems
- Describe the functions of virtual tutors and their impact on learner support.
- Analyze how AI systems provide automated and timely feedback to enhance learning outcomes.
4. Data Collection and Student Performance Analytics
- Explain how AI systems collect and analyze student data to inform teaching strategies.
- Interpret performance analytics to make data-driven educational decisions.
5. Ensuring Data Privacy in AI Applications
- Identify major data privacy concerns in AI-driven education systems.
- Apply best practices to ensure ethical use and protection of student data.
6. Designing AI-Enabled Microlearning Experiences
- Understand the principles of microlearning and how AI enhances its delivery.
- Design simple AI-supported microlearning modules tailored to learner needs.
This diploma is ideal for:
- Education Beginners: Learners who are new to artificial intelligence and want to understand its basic role in education and learning environments.
- Teachers and Educators: Teaching professionals who want to integrate AI tools into classrooms to improve student engagement and learning outcomes.
- Education Support Staff: Individuals working in schools, colleges, or training centres who want to enhance their digital and AI-based teaching support skills.
- EdTech Enthusiasts: Learners interested in educational technology and how AI is transforming modern learning systems.
- Career Changers: Individuals from non-technical or educational backgrounds who want to enter the field of AI in education and digital learning.
- Future AI Learners: Students who want to build a foundation for advanced studies in artificial intelligence, education technology, or digital learning systems.
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.