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1. The user's experience is extremely personalized and flexible, nothing is set in advance except the desired curriculum. Given the curriculum, based on the learner's knowledge and answers, each exercise is matched and its difficulty level is determained by our AI engine on-the-fly to maximize learning efficiency. MagniLearn's AI-based algorithm personalizes each student’s learning experience to the highest possible level of technology-driven personalization.
2. MagniLearn's exercises allow for more free-form exercises, eliminating the option of guessing and requiring students to be active during their learning. Not just multiple choice or a single blank—at MagniLearn, students compose their own answers.
3. MagniLearn's answer analysis algorithms gives detailed feedback, and error explanations, in the native language of the user. Moreover, we are capable of giving partial credit to students (i.e., identifying that you got some things right even if the answer is not fully correct).
4. Data Driven Insights Platform for students, teachers, supervisors, parents.
   Currently in the market companies have statistics only and they are not able to give quality learning insights, feedback and recommendations to students and parents.

MagniLearn dynamically creates completely personalized online lessons tailored to the student's knowledge and thereby boosts learning efficiency and efficacy. MagniLearn’s solution is based on the Personal Knowledge Model™ (PKM). The PKM is personal for each student, and contains a detailed specification of the required knowledge items to be learned, together with the optimal timing to review learned items, and the student’s level of knowledge of each item. In the case of English learning, the knowledge items are the blocking blocks of the language, which are words, expressions, grammar patterns, syntax rules, etc. Learning occurs during a series of tailor-made exercises, throughout which the student learns new knowledge items and constantly reviews previous ones.

1. No two minds are the same, thus full personalization is a necessity in modern education.
2. The timing of each exercise is determined such that its effect on the learner's long-term memory is maximized. In cognitive learning, this means that a quasi-logarithmic schedule of item exposure is used.
3. Active exercises with free-form answers (in contrast to multiple choice) improve learning pace and quality.
4. Careful use of the student native language accelerates and simplifies the learning process.
5. Our brains have evolved to acquire language through audio.
6. Immediate feedback and gratification improve motivation.
7. Feedback on exercises should be done by listing correct and incorrect items (in contrast to right or wrong answers) in order to reduce frustration and increase learning accuracy.
8. Every knowledge item should be taught in its context, such as a sentence or a short text.