Definitions, plainly written.

Adaptive learning is an educational approach where the difficulty, pace, and content of a course adjust to each student's performance. Students who master material quickly move ahead; students who struggle get additional practice and explanation. The course content is personalized to where the student actually is, not a fixed pace for the whole cohort.

AI grading uses artificial intelligence to evaluate student responses — multiple-choice, true/false, short-answer, and essay — and assign scores with written feedback. In well-designed systems, the AI provides a suggested score and rationale, and the teacher reviews and approves before results are published to students.

An AI LMS is a Learning Management System where artificial intelligence automates the operational work of teaching — generating quizzes from lesson content, grading multiple-choice and essay responses, tutoring students 24/7, and summarizing live class recordings — so educators spend their time teaching rather than administering.

An AI tutor is a software assistant that answers student questions on demand, grounded in the course's own content. Unlike asking a generic chatbot, an AI tutor pulls from the teacher's lessons, the curriculum, and approved sources — so explanations match how the student is being taught and align with what the class has covered.

Asynchronous learning is a self-paced educational model where students access course materials, watch recorded lessons, and complete assignments on their own schedule — without needing to be present at the same time as the instructor. The opposite is synchronous learning, where the class meets together in real time.

Blended learning combines in-person instruction with online learning components. Students attend physical classes for direct teacher interaction and discussion, and use a digital platform — typically an LMS — for homework, assessments, lesson recordings, and supplementary materials. The mix is usually 30–70% online, with the remainder in person.

Cohort-based learning is an educational model where a group of students moves through a structured curriculum together on a fixed schedule, with shared assignments, peer interaction, milestones, and a defined start and end date. Common in coding bootcamps, NGO training programs, MBA programs, and many tutoring center cohorts.

An Education CRM is a customer-relationship-management system designed specifically for schools, academies, and tutoring centers. It tracks every prospective student from first inquiry through trial class, paid enrollment, and renewal — using education-specific pipeline stages and connecting directly to the LMS so leads become enrolled students with no manual data hand-off.

Learning outcomes are specific, measurable statements describing what a student should know, understand, or be able to do after completing a course, module, or program. They are written from the student's perspective and define success in observable terms — not what was taught, but what was learned.

A Learning Management System (LMS) is software that delivers, organizes, and tracks educational content and learner progress. Schools, academies, tutoring centers, and training organizations use an LMS to distribute lessons, run assessments, record grades, and monitor every student's progression through a curriculum.