Adaptive learning is a method that personalizes the learning experience for each participant. Based on their level and learning style, this feature continually adjusts the content to meet the specific needs of each individual.
Table of contents
- Adaptive learning at the course level: micro-adaptive
- Adaptive learning at the training path level: macro-adaptive
- Frequently Asked Questions
Adaptive Learning at the course level: micro-adaptive
To enable adaptive learning within a course, follow these steps:
- Access the relevant course.
- Click on the gear icon
. - Select "Enable adaptive learning algorithms".
- Click "Confirm".
Role of knowledge questions
Knowledge questions assess participants' understanding of key content. Teach Up provides 11 types of content to which multiple knowledge questions can be attached, enabling the assessment of essential knowledge.
These questions are presented as learning activities, with up to eight types available, which can be enabled during question setup.
Principles of Micro-Adaptive functionality
The Artificial Intelligence engine embedded in the course intelligently learns about each participant as they interact with the course.
This technology becomes increasingly effective based on data gathered during participants' training experiences, and it tailors content based on these insights—this is known as "Machine Learning." The goal is to help all participants succeed, at their own pace and according to their knowledge base.
Micro-adaptive technology adjusts knowledge questions and associated learning activities in real-time according to each participant's level. This system optimizes the learning path by modulating the number of questions and selecting the most relevant type of learning activity for each participant.
🔢 Adjusting the number of questions asked
Not all knowledge questions set for a piece of content will necessarily be asked of participants.
For each content element, the micro-adaptive system analyzes the participant's answers to adjust the number of questions asked.
For example: If a participant correctly answers the first two questions on a topic with three questions, the last question may be omitted, as the topic is considered mastered.
🎲 Personalized selection of learning activities
In addition to adjusting the number of questions, the micro-adaptive system adjusts the type of learning activity based on each participant’s level to ensure a suitable progression.
The difficulty of the questions and associated activities is calibrated based on previous participants' responses. Questions are categorized according to their success rate to provide a personalized learning journey:
- Easy questions: Often successful with previous participants, prioritized for beginners to establish a solid foundation.
- Difficult questions: Frequently missed by previous participants, reserved for advanced users to raise their skill level.
📍 Timing of questions
The micro-adaptive system also selects the ideal moment to ask each question, enhancing comprehension and retention:
- Immediately after content: Questions are asked right after viewing the content to assess initial understanding.
- During a reinforcement phase: At the end of each part of the course, a reinforcement phase, powered by intelligent algorithms, selects previously missed questions for participants to strengthen knowledge on strategic points.
- Questions may not be asked at all: If the system detects good mastery, some questions may be omitted to avoid redundancy and keep the participant engaged.
✨ Recommendations for boosting micro-adaptive functionality
- Add multiple questions for key content so the system can adjust the number and difficulty according to each participant's level.
- Enable various learning activities to offer a mix of question formats and difficulty levels.
Adaptive Learning at the training path level: macro-adaptive
Macro-adaptive learning allows you to offer a tailored path for each participant through a self-assessment test at the beginning of the training path or each section. Based on their responses to the questions, participants can validate certain steps without needing to complete them.
👉 Check out this article to learn how to configure macro-adaptive settings for your training paths.
Frequently Asked Questions
What is adaptive learning?
Adaptive learning is a personalized learning method that adjusts content based on the participant’s responses and performance to optimize their learning experience.
What happens if I disable adaptive learning in a course or assessment?
If you disable adaptive learning, the course or assessment will no longer adapt to the participant’s answers. The content will remain linear and will no longer be personalized.
When does the reinforcement phase occur?
At the end of each part of the course, to allow participants to strengthen their knowledge on previously missed questions.
Can I force all questions to appear for each participant?
Yes, if a piece of content contains only one question, it will always be asked, regardless of the participant’s level. For content with multiple questions, the micro-adaptive system automatically adjusts the selection based on each participant's level.
How is question difficulty assessed?
Difficulty is adjusted based on the overall success rate. Frequently successful questions are classified as easy, while frequently missed questions are classified as more difficult.