AI in Education & Learning Technologies
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) …
Short Courses
Beginner
AI in Education & Learning Technologies
60 hours
0 students
Added Apr 15, 2026
Course Overview:
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) in education and learning technologies. It focuses on how AI-driven tools can enhance teaching, learning, assessment, administration, and education system management through personalized learning, data-driven insights, and digital innovation.
Participants will develop the capacity to integrate AI responsibly into education systems while addressing ethics, data privacy, inclusion, quality assurance, and institutional readiness—particularly within African and Global South education contexts.
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Learning Objectives:
By the end of this course, participants will be able to:
Understand core AI concepts and their relevance to education and learning systems
Apply AI tools to teaching, learning design, and learner support
Use AI-driven analytics to improve assessment, retention, and learning outcomes
Enhance institutional decision-making through education data and insights
Address ethical, privacy, and inclusion challenges in AI-enabled education
Support digital transformation and innovation in education institutions
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Target Audience:
Education policymakers and ministry officials
School leaders, principals, and administrators
University lecturers, instructors, and academic staff
Instructional designers and e-learning developers
ICT and digital transformation officers in education
Teachers, trainers, and facilitators
NGOs and donor-funded education programme staff
Private education and training providers
This course provides advanced knowledge and practical skills on the application of Artificial Intelligence (AI) in education and learning technologies. It focuses on how AI-driven tools can enhance teaching, learning, assessment, administration, and education system management through personalized learning, data-driven insights, and digital innovation.
Participants will develop the capacity to integrate AI responsibly into education systems while addressing ethics, data privacy, inclusion, quality assurance, and institutional readiness—particularly within African and Global South education contexts.
________________________________________
Learning Objectives:
By the end of this course, participants will be able to:
Understand core AI concepts and their relevance to education and learning systems
Apply AI tools to teaching, learning design, and learner support
Use AI-driven analytics to improve assessment, retention, and learning outcomes
Enhance institutional decision-making through education data and insights
Address ethical, privacy, and inclusion challenges in AI-enabled education
Support digital transformation and innovation in education institutions
________________________________________
Target Audience:
Education policymakers and ministry officials
School leaders, principals, and administrators
University lecturers, instructors, and academic staff
Instructional designers and e-learning developers
ICT and digital transformation officers in education
Teachers, trainers, and facilitators
NGOs and donor-funded education programme staff
Private education and training providers
Who Should Take This Course
This course is ideal for beginners and those new to the field. No prior experience is required.
Course Content
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Introduction to Artificial Intelligence, machine learning, and data analytics7 min
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Evolution of digital learning and education technologies7 min
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Data-driven decision-making in education systems7 min
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Overview of AI-powered learning platforms and tools5 min
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Opportunities and limitations of AI adoption in education1 min
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Personalized and adaptive learning systems6 min
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Intelligent tutoring and learning support tools6 min
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AI-assisted curriculum design and content development5 min
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Learning pathways and competency-based education5 min
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Supporting diverse learners through AI technologies5 min
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AI-enabled formative and summative assessment7 min
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Automated grading and feedback systems6 min
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Learning analytics and student performance monitoring5 min
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Early-warning systems for dropout and retention3 min
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Academic integrity, plagiarism detection, and proctoring4 min
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AI-powered student information and management systems7 min
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Enrolment forecasting and resource planning5 min
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Timetabling, scheduling, and workload optimization5 min
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AI in admissions, advising, and student services4 min
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Enhancing efficiency and service delivery in education institutions5 min
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Student data protection and privacy considerations7 min
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Bias, fairness, and inclusivity in educational AI systems6 min
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Ethical use of AI in teaching and assessment6 min
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Transparency, accountability, and human oversight4 min
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Policy and regulatory frameworks for AI in education4 min
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AI-supported professional development and coaching6 min
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Teaching performance analytics and feedback5 min
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Communities of practice enabled by digital platforms5 min
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Supporting digital literacy and pedagogical innovation6 min
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Managing change and resistance in education institutions5 min
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Assessing institutional readiness for AI adoption6 min
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Integrating AI into existing learning management systems6 min
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Infrastructure, connectivity, and technology considerations5 min
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Vendor selection and management4 min
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Financing, partnerships, and sustainability models3 min
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Generative AI and content creation in education7 min
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AI, immersive learning, and virtual environments7 min
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Lifelong learning and micro-credentials5 min
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Global and regional case studies7 min
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Preparing education systems for the future of work5 min
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