Ministry of higher and secondary special education of the republic of uzbekistan course paper


Increases time efficiency to reduce training time



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Innovations kurs ishi ABDIKADIROVA DILFUZA 3.03

4. Increases time efficiency to reduce training time.


E-learning takes 40-60% less time than the traditional classroom. By adding adaptive learning technologies, your employees start to use the time for education more efficiently. The course content is being adapted to the learner, skipping the material you already know.
  • 5. Performs deep analytics to track training efficiency and learners' performance.


Training managers can get metrics that show each employee's progress. It's an excellent addition to track their success, understand strengths and weaknesses, and also provide a better learning experience. By the way, AI in talent management is another common use case![15.134]


4.9. Analytics Of Emotions
Automated methods of eye tracking and facial recognition can analyze how students learn, then respond differently to their emotional and cognitive states. Typical cognitive aspects of learning include whether students have answered a question and how they explain their knowledge. Non-cognitive aspects include whether a student is frustrated, confused, or distracted. More generally, students have mindsets (such as seeing their brain as fixed or malleable), strategies (such as reflecting on learning, seeking help and planning how to learn), and qualities of engagement (such as tenacity) which deeply affect how they learn. For classroom teaching, a promising approach is to combine computer-based systems for cognitive tutoring with the expertise of human teachers in responding to students’ emotions and dispositions, so that teaching can become more responsive to the whole child and learner.
For example: Choose your own ending gets AI makeover
Movie and entertainment giant, Disney, has trialled emotion analysis by fitting a cinema with infrared cameras that recorded facial expressions during a range of movies over 150 showings. Reactions can be matched to scenes in the movies to assess and predict audience reactions for its films. This technology may also be deployed at its theme parks and restaurants in future to understand and improve guest experience.[16.319]


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