Learning
Mastery (learning progress)
An overview per course: how ready you are for the exam, how confident per knowledge area and which misconceptions are still open.
目的#
Learning needs a goal and honest feedback. Mastery shows where you stand — from the same data the avatar uses when answering.
使い方#
クリック手順DashboardLearning progress
- 1In the dashboard open the tab “Learning progress”.
- 2At the top three key figures: exam readiness, strong areas, to deepen (図 1).
図 1 The three key figures: exam readiness in percent, strong areas and areas to deepen. - 3Below that, per module, the knowledge areas as bars with confidence and number of answers (図 2).
図 2 A module with its knowledge areas as bars, confidence and number of answers. - 4“Open misunderstandings” and “Explain it back to me — history” show what you should still work on (図 3).
図 3 “Open misunderstandings”: what was noticed while answering and should still be clarified. - 5If you are close, the page offers “To the exam”.
設定とスイッチ#
- テナントごとに切替可能既定：オンモジュール：Lernwerkzeuge
The key figures#
The bars adjust continuously: slides, quiz answers, questions and identified misconceptions all feed in — the more you ask and answer, the more precise.
- Exam readiness — “Ready for the exam”, “More practice recommended” or “Still significant gaps”.
- Strong areas — knowledge areas with at least 70 percent.
- To deepen — areas below 40 percent.
Mastery and competence profile#
Mastery measures how confident you are with the material. If the competence diagnosis is switched on, the competence profile appears next to it — separately: what you have shown in tasks from practice. A slide that has been read never counts as a competence there.
自分で試す#
QR コードを読み取るか、ボタンを押してください
あなた専用のお試し学生が自動で作成されます — 登録不要。
自分で試すhttps://kurs.balzac-publishers.com/api/g-uds/rundgang?next=%2Fdashboard%2Fmastery
関連する機能#
- Competence diagnosis (competence check)What can the learner already do, what is this assessment based on, what is still missing — and how does the course help in a targeted way? With tasks from practice, evidence per criterion and reassessment.
- Pocket quizA short multiple-choice quiz in the player to check whether the material has sunk in.
背景知識
- Measuring learning progress: using learning analytics wellWhich e-learning metrics really mean something, how to measure knowledge rather than clicks, and where learning analytics meets its limits and data protection.
- Adaptive learning paths: learning that adjustsHow adaptive learning paths work: assess the starting point, spot gaps, choose next steps, check again — and where AI helps.
- Learning support: helping people learn independentlyWhat learning support is, how it helps self-directed learning at school, university and work, and which methods, roles and tools have proven themselves.