In education, AI systems are used to enhance learning, support administrative functions, and assist teachers through AI-driven analytics and automation.

Use cases include:

  • Learner support: AI-driven tutoring systems provide personalised instruction, adaptive learning tools adjust to individual progress, and chatbots offer 24/7 student assistance, including in life-long learning.
  • Assessment and feedback: AI automates writing evaluation, generates real-time performance analytics, utilizes open learner models to help students track their progress and helps to detect plagiarism in student work by scanning databases for similarities to existing content. AI based proctoring assesses a test-taking individual's behaviour, environment and movement.
  • Educational administration: AI optimises admissions processes, automates timetabling, and manages learning systems to streamline institutional operations.
  • Teacher support: AI curates learning materials from online sources and create adaptive learning content and dynamic textbooks, provides real-time classroom analytics through dashboards to analyze data from students' performance, attendance, participation, and engagement, and assists with course planning and time management.
  • Learning analytics and resource allocation: AI analyses student engagement, predicts learning outcomes, and informs resource distribution to improve educational efficiency.
  • Speech recognition and language processing: AI-based speech recognition and language processing tools can assist students with disabilities, by converting speech to text or providing real-time translation and transcription.

 

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