Adaptive Learning - PowerPoint PPT Presentation

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Adaptive Learning

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Adaptive learning is another important aspect of eLearning, and Smart Sparrow is a top adaptive learning platform. It uses artificial intelligence and machine learning algorithms to personalize the learning experience for each individual learner. – PowerPoint PPT presentation

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Title: Adaptive Learning


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Adaptive Learning
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What is Adaptive Learning?
  • Adaptive learning is an approach to education
    that uses technology to personalize the learning
    experience for individual students. It is a
    method of teaching and learning that adjusts to
    the student's individual needs, abilities, and
    learning styles. Adaptive learning uses data and
    algorithms to identify the strengths and
    weaknesses of each student, and then delivers
    personalized learning materials and activities
    that are tailored to the student's needs.
  • Adaptive learning systems typically use
    artificial intelligence (AI) algorithms to
    analyse data on student performance and
    behaviour. This data is then used to identify
    patterns, make predictions, and create
    personalized learning paths for each student. For
    example, an adaptive learning system might
    identify that a student is struggling with a
    particular concept, and then provide additional
    practice materials or alternative explanations
    until the student demonstrates mastery.

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Benefits of adaptive learning-
  • Personalized learning Adaptive learning can
    provide personalized instruction to each student,
    based on their individual needs, abilities, and
    learning style. This helps to ensure that
    students are learning at a pace that is
    appropriate for them, and are receiving the
    support and resources they need to succeed.
  • Increased engagement By providing interactive
    and personalized learning experiences, adaptive
    learning can help to increase student engagement
    and motivation. This can lead to higher levels of
    student participation, and ultimately, better
    learning outcomes.
  • Improved retention Adaptive learning can help to
    improve knowledge retention by providing students
    with targeted, timely feedback and reinforcement.
    This helps to reinforce key concepts and prevent
    knowledge decay over time.
  • Flexibility Adaptive learning can be delivered
    in a variety of formats, including online,
    blended, or classroom-based instruction. This
    flexibility allows educators to tailor the
    learning experience to the needs of their
    students and the constraints of their
    environment.
  • Cost-effective Adaptive learning can be more
    cost-effective than traditional classroom-based
    instruction, as it can reduce the need for costly
    textbooks and other materials, and can be
    delivered at scale to large numbers of students.

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How Does It Work?
  • Courses that follow the adaptive learning model
    are created on a web-based platform. All
    information required for the course would be
    found on the platform. There would be activities,
    assessments, and materials required for all
    learning tasks. After a student completes an
    evaluation, the software would select the most
    best learning experience software appropriate
    level of tasks to work on. They would continue to
    be guided towards the most relevant activity
    based on their performance. Some students may
    speed through the lessons easily while others may
    need to review prior material. As the students
    continue to engage with the platform, it becomes
    more attuned to their needs, and can therefore
    select materials that will help them achieve the
    learning goals.

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Which Courses Are A Good Fit For Adaptive
Learning?
  • Not every discipline is the ideal candidate for
    adaptive learning. Courses that contain a lot of
    subjective learning activities, such as
    literature papers, research projects or forums,
    are not recommended for the adaptive learning
    model. These tasks often centre on specific
    opinions and would not capitalize on the
    problem-solving aspect of the instructional
    software.
  • Alternatively, classes that centre on objective
    knowledge or a skill could greatly benefit from
    the adaptive learning model. The technological
    programs can quickly assess student knowledge and
    grade the content. Using the answers given, the
    software can also assess relationships and
    connections given between the content itself.
    Courses that have a large portion of automatic
    grading are ideal candidates for this learning
    model. They could then use a few subjective
    activities, such as an essay or a research
    project, to ensure that they utilize various
    types of evaluations.

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