MaxLearn is built to be...
Fast: Rapid Development, Minutes-a-session and Quick to Market
AI content assistant (Acue)
reduces the time for developing quality content by a factor of 10. The AI content assistant generates a comprehensive draft of key learning points, learning cards, and questions of different difficulty levels for any topic and subject as well as on the basis of inhouse training content.
Subject Matter Experts can verify, edit and publish the content generated by Acue.
How it works
- Tell the AI content assistant what you want.
- Discard, edit or save the results.
Built-in Content Authoring
Built-in authoring system designed with a well-defined structure of categories, subjects, topics, KLPs, learning cards, and questions that allows for rapid creation of microlearning courses.
Category: A training manager can start by creating a new category for the course they want to build. This could be a category for a specific department or skill set.
Subject: Within the category, the training manager can create a subject that pertains to a specific area of study or skill within the category.
Topic: Once the subject is created, the training manager can then create topics within that subject. These topics can cover specific areas of knowledge or skills that the learners need to learn and master.
Deck: Within each topic, the training manager can create a deck of learning materials. This could include videos, text, images, or any other multimedia resources that are relevant to the topic.
KLP: Explicitly state the attitudes, knowledge, skills, and/or behaviour the learner must exhibit. KLPs are tagged to topics, questions or other learning objects.
Learning Cards: To reinforce learning, the training manager can create flashcards for each topic. Flashcards incorporate key terms, concepts, or questions related to a topic. Learners can use flashcards to improve their knowledge retention
Questions – Training manager can create concise, focused information in a question-and-response style. In this format, learners are presented with a question, and the subsequent response provides the answer or explanation. Various question formats include – Multiple Choice Questions (MCQs), True or False, Fill in the Blanks and others
Category: A training manager organizes the content to be created into different categories as the first step of content creation.
Subject: Within a category, the training manager can create subjects that pertain to different areas of study or skill.
Topic: Once a subject is created, training manager can create topics within that subject. These topics can cover specific areas of knowledge or skills that the learners need to learn and master.
KLP: explicitly states the attitudes, knowledge, skills, and/or behaviour the learner must exhibit. KLPs are tagged to topics, learning cards and questions.
Deck: Within each topic, the training manager can create multiple decks of learning materials. This could include videos, text, images, or any other multimedia resources that are relevant to the topic.
Questions – Training manager can create concise, focused information in a question-and-response style. In this format, learners are presented with a question, and the subsequent response provides the answer or explanation. Various question formats include – Multiple Choice Questions (MCQs), True or False, Fill in the Blanks and others
Learning Cards
is the key feature of microlearning. Create learning cards on the basis of different key learning points and grouped into different decks. Learning cards incorporate key terms, concepts, or questions related to a topic.
Automated learning assignments
Quick authentication through SSO
You can use your company’s authentication method to allow user access without the burden of maintaining different passwords.
Access anywhere, anytime and with any device
MaxLearn can be accessed through laptop, tablet and mobile. The system has real-time synchronization; you can start on one, and finish on the other.
Global Learning Experience through Multilingual Support
MaxLearn is an inclusive platform catering to the global clientele who speak in different languages. It allows users to choose their preferred language from a list of available options. This way, users can have an inclusive learning experience.
Join the AI revolution in learning with MaxLearn
FUN: Enjoy learning through collaborative gameplay
Have you ever wondered why simple games like Solitare, Angry Birds ™, or Candy Crush ™ are addictive?
Humans are hard-wired to seek rewards, competition, and teamwork. MaxLearn applied this natural drive to seek reward and support their team to the learning process. Instead of flinging angry birds or crushing candy, learners earn points and badges for themselves and their team by interacting with content in short bursts of learning.
Win-Win Learning
MaxLearn offers a Win-Win Learning feature that promotes collaborative learning among team members. Points are earned for participating in the learning process, not just for the correct answers.
Training managers can constitute squads/teams from different departments and design learning challenges that inspire learners to strive for excellence by working together for a common goal.
Reward Learning
Learners earn points, badges and rewards for participating in the 4 modes of learning – Learn Quests, Certs, Team Challenges and Goal Assignments in which they are given content suited to their level of understanding.
Learners monitor their status real-time on the leaderboard.
Earn badges
for achievements, such as getting a high score in a challenge, or increasing your learning level on a topic.
Leaderboard
Track your and your squad’s progress through leaderboards.
Nudge
Learners nudge teammates to cooperate and participate in challenges.
Unlock the power of microlearning with MaxLearn
Effective: Incorporating cutting edge AI technology, data analytics, proven learning principles and empirical neuroscience.
MaxLearn utilizes proven adult learning theories to ensure that information is transformed into learning in the most efficient and timely manner possible.
We leverage:
Adaptive Learning Algorithm
Our adaptive learning algorithm adjusts the difficulty level of questions based on a learner’s performance, ensuring the instruction they receive always matches their current level of understanding.
Spaced Repetition of Key Concepts
Information is quickly forgotten if it is not reinforced. This is established by the celebrated Forgetting Curve study of Herman Ebbinghaus.
Through our Challenges and Goal Assignments functions, key concepts are reviewed at periodical intervals based on scientific principles ensuring information is passed on to long-term memory and results in effective knowledge retention.
Multiple learning methods
1. Challenges
The primary instructional strategy adopted by MaxLearn is microlearning through spaced repetition of key content adaptively to suit the learning level of each individual learner.
This type of learning is delivered through Team Challenges which consist in offering a few questions a session and a few sessions a week.
2. Goal Assignments
This feature operates like an individual challenge which enables both the trainer and the learner to identify and plug the knowledge gaps for the learner on an on-going process.
Learners are assigned topics with the desirable learning status goals and learning difficulty levels. They can also set topic status goals for themselves.
3. Learn Quests
Learning paths, comprised of questions, learning cards, existing courses, videos, and other media, that can either be assigned to learners or accessed as self-directed learning.
4. Certs
Certs are assessments designed to evaluate a learner’s knowledge, skills, and abilities in a particular subject area. In certs, trainers pick specific questions, arrange the questions in a particular order, and set a passing score.
Detailed Analytics to Measure the Success of Training
Most learning management systems provide minimal performance data, such as when a course was launched, and completion status. At best, you get a score.
MaxLearn, on the other hand, offers detailed analysis focused on competency areas, not just on one course or test.
Data elements tracked include:
- Competency Status at each learning level per topic (each topic has three learning levels – Awareness, Explanatory, Practitioner)
- Knowledge gap per topic
- Learner-wise answer history per question
- Confidence level – Learners rate their level of confidence in their answers.
- Time per question
- Active learner feedback – Learners can provide feedback on each question
Real-time tracking of learners’ knowledge growth
MaxLearn’s core learning philosophy is built on spaced repetition of microlearning content adaptively to facilitate effective learning. It measures the learner’s knowledge both before and after a Challenge or Goal assignment through reports and thus verifiable progress can be monitored and measured over time.
Tracking Learner Engagement
MaxLearn has the ability to keep track of platform usage and learning object access, giving you the opportunity to monitor platform utilization. The analytics offer a range of panels, including Engagement Overview, Learner Engagement, Assignment Engagement, Knowledge Gaps, and Learning Card Views, which give valuable insights into learners’ performance and engagement with the platform.
These analytics enable training managers to create personalized learning experiences that meet learners’ specific needs and ensure their success.
Dashboards
Both managers and learners are given access to dashboards, which track individual knowledge growth.
Active Learning Feedback
Gathering feedback from learners is critical for effective training. MaxLearn’s Active Learning Feedback feature enables learners to provide comments on questions, allowing instructional designers to swiftly identify and correct any errors or incorrect questions. By utilizing this feature, instructional designers can enhance the accuracy and effectiveness of the learning experience.
