title: Foydalanilgan adabiyotlar
text: Namangan Institute of Engineering and Technology
  nammti.uz
  10.25.2023
  Pg.439
  Key words: artificial intelligence,
  adaptive learning, data analysis, virtual assistants and
  chatbots, personalized guidance, customize and optimize learning
  Adaptive learning is a system of technologies that constantly analyzes the educational results
  of
  the student, takes into account his characteristics and adapts the educational program, and
  sometimes the teaching method [1]
  .
  AI can be used to develop intelligent tutoring systems that
  provide personalized instruction to learners. These systems use techniques like machine learning
  and natural language processing to analyze a learner's abilities, track their progress, and deliver
  adaptive feedback and guidance [2, 3].
  Adaptive learning promotes the development of important skills such as self-organization,
  analytical thinking and independent decision-making [4]. Through
  active interaction with the
  material and constant analysis of their progress, the student can effectively use their strengths and
  overcome their weaknesses [5].
  AI can power adaptive learning platforms that customize instructional content based on a
  learner's individual needs and preferences. These systems analyze learner data, such as
  performance on assessments and previous interactions, to generate personalized learning paths
  and recommend appropriate resources [6]. AI-powered virtual assistants and chatbots can provide
  on-demand support to learners by answering their questions, assisting with problem-solving, and
  offering personalized guidance. They can also simulate conversations
  and interactions to create
  more engaging learning experiences [7, 8].
  Key features of adaptive learning include:
  1. Individual approach: each student is provided with a personalized education in accordance
  with his level of knowledge, skills and learning characteristics.
  2. Variety of Materials: Adaptive learning programs offer a wide range of materials and
  resources so that each student can find the learning methods that work best for them.
  3. Instant Feedback: Adaptive learning systems provide instant feedback and advice to
  students, helping them improve their skills and learn materials more effectively.
  4. Flexibility and independence: Adaptive educational programs
  allow students to study
  materials at their own pace and time, as well as choose the order in which they study materials.
  5. Progress tracking: Adaptive learning is based on continuous analysis of student progress
  data, which allows us to identify his weak areas and offer appropriate assistance.
  6. Individualized error correction: Adaptive systems can provide additional practice or
  explanation if a student makes mistakes or has difficulty with certain material.
  7. Data Monitoring and Analysis: Adaptive systems collect and analyze data on everyone's
  progress, allowing teachers and curriculum to customize and optimize learning.
  In our opinion, adaptive learning helps achieve the following educational goals:
  1.
  Reducing the cost of educational expenses.
  2.
  Formation of a personal training program.
  3.
  Make the learning process simple and flexible.
  4.
  Improving the effectiveness of education.
  5.
  High involvement in the educational process.
  6.
  Predicting learning strategies based on big data analysis.
  It is important to note that adaptive learning is not limited to traditional lessons. Modern
  technologies make it possible to create interactive online courses where the material is adapted to
  the student’s level. This approach allows you to learn new topics at
  your own pace and receive
  instant feedback.
  The introduction of a credit-module system, which significantly increased the amount of
  independent work of students - adaptation of the educational process to the needs, abilities and