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

Who Should Take This Course

This course is ideal for beginners and those new to the field. No prior experience is required.

Course Content

  • Introduction to Artificial Intelligence, machine learning, and data analytics
    7 min
  • Evolution of digital learning and education technologies
    7 min
  • Data-driven decision-making in education systems
    7 min
  • Overview of AI-powered learning platforms and tools
    5 min
  • Opportunities and limitations of AI adoption in education
    1 min

  • Personalized and adaptive learning systems
    6 min
  • Intelligent tutoring and learning support tools
    6 min
  • AI-assisted curriculum design and content development
    5 min
  • Learning pathways and competency-based education
    5 min
  • Supporting diverse learners through AI technologies
    5 min

  • AI-enabled formative and summative assessment
    7 min
  • Automated grading and feedback systems
    6 min
  • Learning analytics and student performance monitoring
    5 min
  • Early-warning systems for dropout and retention
    3 min
  • Academic integrity, plagiarism detection, and proctoring
    4 min

  • AI-powered student information and management systems
    7 min
  • Enrolment forecasting and resource planning
    5 min
  • Timetabling, scheduling, and workload optimization
    5 min
  • AI in admissions, advising, and student services
    4 min
  • Enhancing efficiency and service delivery in education institutions
    5 min

  • Student data protection and privacy considerations
    7 min
  • Bias, fairness, and inclusivity in educational AI systems
    6 min
  • Ethical use of AI in teaching and assessment
    6 min
  • Transparency, accountability, and human oversight
    4 min
  • Policy and regulatory frameworks for AI in education
    4 min

  • AI-supported professional development and coaching
    6 min
  • Teaching performance analytics and feedback
    5 min
  • Communities of practice enabled by digital platforms
    5 min
  • Supporting digital literacy and pedagogical innovation
    6 min
  • Managing change and resistance in education institutions
    5 min

  • Assessing institutional readiness for AI adoption
    6 min
  • Integrating AI into existing learning management systems
    6 min
  • Infrastructure, connectivity, and technology considerations
    5 min
  • Vendor selection and management
    4 min
  • Financing, partnerships, and sustainability models
    3 min

  • Generative AI and content creation in education
    7 min
  • AI, immersive learning, and virtual environments
    7 min
  • Lifelong learning and micro-credentials
    5 min
  • Global and regional case studies
    7 min
  • Preparing education systems for the future of work
    5 min

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