Feedback E Learning Glossary mauthCC
Feedback 2

Feedback explained simply

Feedback in the world of education is what the echo is in the mountains - immediate feedback on what you have done. In education, it is the information learners receive from teachers, tutors or learning software to understand and improve their learning progress. It shows what is going well and where there is room for improvement. Good feedback is the key to learning success, whether it's a presentation or understanding a complicated mathematical concept.

Background information

Feedback in education is an essential part of the learning process. It enables learners to understand and reflect on their progress. Good feedback should be specific, relevant and constructive. It is not just about saying what is wrong, but also about how it can be improved.

The role of feedback in e-learning

In e-learning, feedback often replaces direct, personal interaction between teachers and learners. It can take many forms in digital learning environments: from automated answers in quizzes to personalized comments in learning management systems. Feedback helps learners to understand their progress, achieve learning goals and motivates them to take on further challenges. In virtual classrooms or online courses, it allows learners to evaluate and adjust their performance in real time. This is particularly important as e-learning is often self-directed and learners need to take ownership.

6 aspects to consider when giving feedback.

Type of feedbackDescribes how feedback is given.- Written (e-mail, comments on learning platforms)
- Oral (video conferences, face-to-face meetings)
Timing of the feedbackIndicates when feedback is given.- Immediate feedback (directly after a task)
- Delayed feedback (after a review phase)
Source of the feedbackWho gives the feedback?- Teachers
- Classmates (peer feedback)
- Automated systems (AI-based learning platforms)
Content of the feedbackWhat the feedback includes.- Specific tips (e.g. on mistakes)
- Praise and recognition
- Suggestions for improvement
Aim of the feedbackWhat the feedback is intended to achieve.- Increase motivation
- Improve understanding
- Guide to self-reflection
Technologies for feedbackTechnologies used for feedback in e-learning.- Adaptive learning systems
- Learning analytics
- Feedback tools in learning management systems

Technologies behind feedback systems

The technologies behind feedback systems in e-learning are diverse and advanced. Artificial intelligence (AI) and machine learning (ML) are playing an increasingly important role. They make it possible to provide personalized feedback that is tailored to individual Learning style and progress of the learner. Adaptive learning systems use algorithms to analyze learners' responses and interactions to generate personalized feedback. These systems can identify where learners are struggling and provide targeted practice and resources for improvement. Furthermore, learning analytics enable teachers to identify patterns and trends in learning behaviour and adapt their teaching materials accordingly to maximize learning success.

Further information and links