The Artificial Intelligence in Education Market is Expected to Grow at CAGR of 31% by 2027 owing to the Increasing Need for Efficient Academic Planning, Assessments, Worksheet Management and Tracking Amongst Colleges and Universities: says Absolute Market Insights

The infusion of artificial intelligence in education has created solutions which keeps continuous track of student’s progress of the learning imparted. It provide teachers with a real time feedback of student’s advancements with the course. This allows professionals to ensure that learning is embedded, and adapt their teaching techniques and pedagogy to improve student’s overall performance and results. There have already been significant technological advances in testing and assessment. AI can mark everything from multiple-choice questions to more complex tasks in evaluation and assessment, providing greater consistency and speed. On the same lines, Gradescope, a California based organization, streamlines the repetitive parts of grading paper-based, digital, and code assignments while providing insights about student’s performance. The organizations operating in artificial intelligence in education market provide solutions which offers this assistance for all subjects. It supports variable-length assignments (problem sets & projects) as well as fixed-template assignments (worksheets, quizzes, and exams). Further, the solution is also adaptable with paper-based, digital, and code assignments.

The assistance being provided by artificial intelligence in education market participants can be varied. In addition to assignments and quizzes, the technology helps teachers analyze student data and alter lesson plans to best benefit their classes. For instance, Century Tech, a UK based organization offers AI based tool to study student engagement and responses in order to help teachers and education administrators understand how their students learn. Similarly Thinkster, a tool designed for math tutoring, utilizes artificial intelligence to track a student’s thought process through a problem, which is then recorded, analyzed and used to recommend how the teacher can best address their concerns. Hence, such an interactive solution is enabling smooth administrative operations, thereby benefiting the overall institutional system.

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“The current inclination of institutions to integrate AI into regular classroom curriculum will see a further growth of artificial intelligence in education market in the coming six years. Tacoma Public School in Washington uses Microsoft’s Azure to improve the graduation rate. The technology enables the school to develop a predictive model, based on collected student data, to accurately predict their current probability of graduating. This approach allows teachers to develop proactive solutions to help students showing inconsistent performance. In a similar approach, artificial intelligence in education is proving its efficiency in several educational functions.”

The detailed research study provides qualitative and quantitative analysis of the global artificial intelligence in education market. The market has been analyzed from demand as well as supply side. The demand side analysis covers market revenue across regions and further, across all the major countries. The geographical analysis done emphasizes on each of the major countries across North America, Europe, Asia Pacific, Middle East, Africa, and Latin America.

Some of the major players operating in the global artificial intelligence in education market are Amazon Web Services, Inc., Blackboard Inc., Brainly, BridgeU, Carnegie Learning, Inc., Century-Tech Limited, Content Technologies, Inc., DREAMBOX LEARNING, ELEMENTAL PATH, Fishtree, IBM, Knewton, Inc., Metacog, Inc., Microsoft, Netex Knowledge Factory, Prazas Learning Inc., Quantum Adaptive Learning, LLC, Querium Corporation, Volley amongst others.

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  • By Component
  • Solutions
    • Platform
    • Tools
  • Services
    • Professional Services
    • Managed Services
  • By Deployment Mode
  • Cloud
  • On-Premises
  • By Technology
  • Machine Learning
  • Deep Learning
  • Natural Learning Process (NLP)
  • By Model
  • Pedagogical Model
  • Domain Model
  • Student Model
  • By Application
  • Intelligent Tutoring Systems
  • Learning Platform and Virtual Facilitators
  • Content Delivery Systems
  • Smart Content
  • Interactive Websites
  • By End-Use
  • Higher Education
  • K-12 Education
  • Corporate Learning
  • By Region
    • North America
      • USA.
      • Canada
      • Mexico
      • Rest of North America
  • Europe
    • France
    • The UK
    • Spain
    • Germany
    • Italy
    • Nordic Countries
      • Denmark
      • Finland
      • Iceland
      • Sweden
      • Norway
    • Benelux Union
      • Belgium
      • The Netherlands
      • Luxembourg
      • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • New Zealand
    • Australia
    • South Korea
    • Southeast Asia
      • Indonesia
      • Thailand
      • Malaysia
      • Singapore
      • Rest of Southeast Asia
      • Rest of Asia Pacific
  • Middle East & Africa
    • Saudi Arabia
    • UAE
    • Egypt
    • Kuwait
    • South Africa
    • Rest of Middle East & Africa
  • Latin America
    • Brazil
    • Argentina
    • Rest of Latin America

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