AI in the Classroom

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chapter 1

by Miss Universe

Floating topic

AI in the Classroom

Solutions

framework

purpose of learning

responsible development

education platforms

classroom

tutor

education games

mentorship

personalized learning

education simulations

educator support

educator training

ethical guidelines

strong data privacy

strong data security

best practices

minimizing bias

Challenges

human interaction

lack of SEL

teachers

confidence

training

student engagement

physical/psychological harm

intellectually lazy

technical limitations

contextual understanding

data training

costs

connectivity

integration

complexity

Ethics

access to education

inclusion

fairness

transparency

privacy

bias

Benefits

classroom management

attendance

alertness

Automated Tasks

plagarism checker

support

personalized feedback

tutoring

adaptive learning

early identification of learner needs

administrative tasks

language translation

grading

analyze performance data