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Artificial Intelligence and Education
Some potential implications of AI on education
Example: Isaac Asimov’s The Fun They Had
Makes it possible for every child to learn customised material at their own pace- children do not have to
study the same thing at the average pace decided by schools or teachers
Further, this means that it is no longer 1 teacher for more than 2 dozen students on average
Easier or specially abled children to have same access to education
Elimination of the human error and limitations of Human teachers
Massive implications on language learning, like translation and image-text recognition
Plagiarism and fraud detection
Research analysis faster, more accurate, better and with more applications
● Student performance, path prediction
● Using Neural Networks
● Agrawal, H., & Mavani, H. (2015). Student Performance Prediction using Machine
Learning. International Journal of Engineering Research and,V4(03).
doi:10.17577/ijertv4is030127
● Predicting at-risk students
● Adjustment of difficulty
● Unbiased grading system
● Language learning tools
○ Example: Duolingo voice analysis
○ Google translate text recognition from voice and images
● A better structure and course plan
● Feedback on performance
○ Examples: BrightBytes Clarity
○ Lumosity
○ Turnitin
● Using games to improve learning experience, retention and recall
● Has potential to make quality education accessible to everyone, and improve
literacy rates if the government plans for it properly
● Customized lessons for each student, optimised according to their needs and
strengths
● Suggested future path for learning
○ Examples: Genext tutors teaching application
○ DreamBox
○ Mangahigh
● Educational experiments
● Less need for all physical tools to be present- save costs- can do virtual
experiments, etc
○ Eg. chemistry lab apps to virtually recreate lab experiments
● Matching students and teachers
○ Example: New Classrooms
● Some More examples:
○ Plexuss: to facilitate students in choosing universities
○ ITS: intelligent tutoring system
○ Recognition apps like LeafSnap
○ Woogie: Educational Companion
○ Learning analytics
○ Personal Trainer
○ Viper: plagiarism checking
○ Automated essay grading
○ Better reading levels
● From http://ai.business

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Machine Learning, Artificial Intelligence and Education

  • 2. Some potential implications of AI on education Example: Isaac Asimov’s The Fun They Had Makes it possible for every child to learn customised material at their own pace- children do not have to study the same thing at the average pace decided by schools or teachers Further, this means that it is no longer 1 teacher for more than 2 dozen students on average Easier or specially abled children to have same access to education Elimination of the human error and limitations of Human teachers Massive implications on language learning, like translation and image-text recognition Plagiarism and fraud detection Research analysis faster, more accurate, better and with more applications
  • 3. ● Student performance, path prediction ● Using Neural Networks ● Agrawal, H., & Mavani, H. (2015). Student Performance Prediction using Machine Learning. International Journal of Engineering Research and,V4(03). doi:10.17577/ijertv4is030127 ● Predicting at-risk students ● Adjustment of difficulty ● Unbiased grading system ● Language learning tools ○ Example: Duolingo voice analysis ○ Google translate text recognition from voice and images
  • 4. ● A better structure and course plan ● Feedback on performance ○ Examples: BrightBytes Clarity ○ Lumosity ○ Turnitin ● Using games to improve learning experience, retention and recall ● Has potential to make quality education accessible to everyone, and improve literacy rates if the government plans for it properly ● Customized lessons for each student, optimised according to their needs and strengths
  • 5. ● Suggested future path for learning ○ Examples: Genext tutors teaching application ○ DreamBox ○ Mangahigh ● Educational experiments ● Less need for all physical tools to be present- save costs- can do virtual experiments, etc ○ Eg. chemistry lab apps to virtually recreate lab experiments ● Matching students and teachers ○ Example: New Classrooms
  • 6. ● Some More examples: ○ Plexuss: to facilitate students in choosing universities ○ ITS: intelligent tutoring system ○ Recognition apps like LeafSnap ○ Woogie: Educational Companion ○ Learning analytics ○ Personal Trainer ○ Viper: plagiarism checking ○ Automated essay grading ○ Better reading levels ● From http://ai.business