eLearning | Glossary
eLearning Glossary – K, as in...
Welcome to the latest instalment of our eLearning Glossary series!
Today, everything revolves around the letter K. From competence and concept to artificial intelligence (AI), we explore key terms that shape digital learning and teaching. We’ll also take a closer look at the fundamentals of courses and course management systems, which form the backbone of modern learning environments.
Psst… just a little side note: We choose our glossary terms based on the first letter of the original German words. So don’t be surprised if the English version features slightly different terms than the title might suggest.
Competence
Competence refers to the ability to apply knowledge, skills and attitudes effectively in specific situations. It becomes evident when someone not only knows what to do, but also how and why.
In the context of eLearning, competence means that learners act independently, transfer knowledge into practical examples, and reflect on their results. It’s not just about memorising information but about thinking and acting in a connected, meaningful way.
Concept
A concept is much more than a plan, it provides the strategic framework that purposefully structures learning processes.
In eLearning, it describes how learning objectives, methods, media, and content are interlinked to create a coherent learning experience.
A well-designed eLearning concept answers questions such as:
- Which competences should be developed?
- Which learning methods are most suitable (e.g. blended learning, microlearning, gamification)?
- Which digital tools best support the learning process?
- How is learning success measured and reflected upon?
Artificial Intelligence
Artificial Intelligence (AI) refers to systems that perform tasks typically requiring human intelligence, such as learning, decision-making, or problem-solving.
In eLearning, AI opens up vast potential:
- Personalised learning paths: AI analyses learning behaviour and adapts content individually.
- Automated feedback: Systems identify gaps in understanding and provide targeted feedback.
- Learning analytics: Progress, motivation, and challenges become transparent and measurable.
Course
A course forms the core of any learning offering. It combines learning content, activities, and tasks that build upon one another to achieve defined learning objectives.
In eLearning, courses are usually delivered on digital platforms and can be self-paced or instructor-led.
A well-designed course is characterised by:
- Clear learning objectives and structure,
- Interactive and practical content,
- Opportunities for reflection and feedback,
- Transparent progress tracking.
Course Management System
A Course Management System (also known as a Learning Management System, or LMS) forms the foundation for the administration, delivery, and analysis of learning processes. It helps educators provide materials, encourage learner interaction, and document progress.
An effective Course Management System enables:
- Central organisation and management of courses,
- Communication and collaboration,
- Evaluation of learning progress and participation,
- Integration of external tools (e.g. video conferencing systems or AI applications).
Conclusion
The letter K demonstrates how diverse and forward-thinking eLearning can be. Whether through well-planned concepts, targeted competence development, or the use of Artificial Intelligence, digital learning thrives on innovation and responsibility.
Other entries in this series: