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1-You must have the passion to teach and learn.
2- You must consult, analyze, explore, learn to teach.
3- You must be a good observant and listener.
4-You must be knowledgeable, developed
and well- cultured.
5-You must be prepared and well planned
6- you must know how to use technology.
7- You must be patient, humorous, fair, tolerant and tolerant.
8- You must teach through active learning methods.
9- You must develop yourself with all methods of teaching .
10- You must be a self-confident, humble, kind, enthusiastic,
co-operative and show self respect.
11- You motivate and allow your learners to make mistakes
12-You must show not tell, guide not lecture.
13-You must engage your learners .
14- You must be like a a good artist, a good orchestra
leader, a time manager, positive critic and electronically
lesson planner
15- Have high expectations and provide environment in class
16-You must have skills of classroom management styles
17- You must believe in applicability, analysis, synthesis and
evaluation instead of memorizing, attainment, lecturing and
learning by heart.
Technology adoption in the education domain has been
a very slow and difficult process. It took many years to
modernize education delivery – and for the better part
of that period was devoted to leveraging technology on
streamlining many administrative tasks.
Education media on the other hand supplemented
classroom sessions but teachers were central to the
process of how students learned – specifically in the
prek-12/school domain. Education has always been
about two key participants – the teacher and the student.
AI’s disruptive role in the education value chain has
necessitated critical review of the fundamental teacher-
student dynamic. Leveraging AI isn’t a threat but is a
core capability that is needed for the transformative role
teachers would play in the AI era. Here are some of the
potential changes we may see:
From Knowledge Provider to
Learning Facilitator:
As AI readily provides access to information, teachers
will transition from primary knowledge sources to guides
and mentors, focusing on facilitating learning, fostering
critical thinking, and promoting independent research.
Focus on Higher-Order Skills
AI can automate repetitive tasks, freeing up teachers
to concentrate on developing essential 21st-century
skills like problem-solving, creativity, collaboration,
communication, and emotional intelligence.
Immersive and Interactive Learning
AI can create engaging and interactive learning environments
through virtual reality, augmented reality, and gamification.
This approach can make in-classroom interactions more
dynamic and immersive, enabling teachers to join students as
co-participants in the process of knowledge discovery.
Personalized Learning
AI can personalize the learning experience by tailoring
content, pace, and methodology to individual student
needs and learning styles. This could involve teachers
heavily leveraging adaptive learning platforms, intelligent
tutoring systems, and personalized recommendations.
Data-Driven Instruction
AI can analyze student performance data to identify
areas of strength and weakness, enabling teachers to
provide targeted interventions and support. This data-
driven approach can help teachers focus on students
who need attention and personalize instruction.
Augmented Teaching
AI can assist teachers in grading assignments,
providing real-time feedback, and recommending
appropriate educational materials. This enables
teachers to dedicate more time to personalized
interactions and tailor instruction for students
requiring additional support.
Accessibility and Equity
AI-powered tools can make education moreaccessible
to students with disabilities and those from diverse
backgrounds. This could involve text-to-speech translation,
language learning tools, and assistive technologies more
dynamic helping teachers in attending to students with
special needs.
Artificial intelligence is revolutionizing education with cutting-
edge tools that enhance teaching and learning. From
personalizing experiences to optimizing administrative tasks,
here are 39 examples of how AI is transforming modern
education:
1-Adaptive Learning: AI-driven platforms assess students’
skill levels in real time and tailor instructional content to
meet individual needs. These systems adapt lessons
dynamically based on student responses, providing
customized pathways to help students master concepts
at their own pace.
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