Introduction
AI is being employed across education systems globally in three areas; learning
environment for students, learning management for teachers and backend
processes. Therefore, a general advantage and disadvantage of AI technology is
that as the technologies advance, so does its applicability to education. That
is why in this post we will look at how AI has shifted the learner and educator
paradigms and what both learners and educators should do for the optimality of
AI use.
1.
Personalized Learning Experiences for Students
Artificial Intelligence adapts the learning material to the particular student
and the learning process, preferred by this student:
Adaptive
Learning Platforms: As for adaptive learning systems,
DreamBox and Knewton are examples of AV systems which study students’
performance and set the level of a lesson according to the students’
learning rate.
Customized
Feedback:
AI avails feedback that is continuous, personalized within a class,
enables students to recognize what they have got wrong or what they need
to correct while at the same time reminding students on concepts that they
got right.
Learning Path
Recommendations:
With the help of AI, it is possible for the student to determine what
course or material to take, use, or even which extracurricular activity to
follow depending on the progress or goals set.
2.
AI Tutoring and Academic Assistance
Students requiring additional assistance from their instructors are able to
access assistance from AI, at any time of the day:
AI-Driven
Tutors:
As virtual tutors such as the IBM Watson Tutor show it is capable of
presenting materials, respond to queries, and give practice problems all
of which do not require human interaction.
Homework
Assistance Apps:
Socratic by Google for example, applies AI to enable teachers to answer
questions and explain concepts in subjects such as math, science and
social sciences.
Language
Learning and Practice: Most of the AI apps for learning
including Duolingo and Babbel employ game-based learning and speech
recognition to help keep the learning process interesting and fun.
3.
Enhanced Classroom Engagement
They include increased interaction and engagement during classroom learning
with help of AI:
Intelligent
Classroom Assistants: Some of the questions that may be
posed by the teachers and students to the virtual assistant such as Google
Assistant or Amazon Alexa are factual in nature, and they will require to
be answered, thus sparing the teachers from addressing questions that they
could answer themselves with protracted interruptions through the use of
an assistive learning system.
Gamified
Learning Platforms: Intelligent applications use
elements of play in the educational process and stimulate motivation.
Kahoot! and Quizizz are two examples of those as they let the teachers
create attractive quizzes and activities.
Virtual Reality
(VR) and Augmented Reality (AR): AI is incorporated with VR and AR
into learning activities such as field excursions and role play activities
to help learners grasp societal and other challenging concepts.
4.
Streamlined Administrative Tasks for Educators
AI is useful in allowing teachers to manage several non-instructional
responsibilities within a limited timeframe:
Automated
Grading Systems:
AI tools can help in grading simple assignments, which also give feedback
as soon as the assignment is done so it saves a lot of time.
Smart Scheduling
and Resource Management: Using AI, proctoring of classes
and resource allocation can be determined by student or teacher
preferences.
Data-Driven
Insights:
AI uses data collected from the classroom to assist in deriving patterns
like problem areas within the classroom, so that support maybe given when
needed.
5.
Improved Accessibility and Inclusive Education
AI has a great contribution towards making education available and to all
students:
Text-to-Speech
and Speech-to-Text: AI can used to transcribe text to
speech for the benefit of the visually impaired students and vice versa
transcribe speech into writing for the benefit of the hearing impaired
students.
Language
Translation:
These include technologies that support Google Translation and assist in
reducing barriers to learning that may be posed by multiple language classrooms.
Assistive
Technologies for Special Needs: There are problems such as speech
and vision impairment, hearing impairments and other related disorders,
and the use of AI technology including voice recognition and assistance as
well as visual help facilitate student’s engagement in classroom
activities.
6.
Challenges and Ethical Considerations
There are many perceived advantages of AI and, at the same time, there are some
important factors:
Privacy and Data
Security:
Because most AI systems gather highly personal information it causes
controversy on how student data is managed and secured.
Bias and
Fairness:
The work of algorithms is vulnerable to such biases, and this may end up
having an impact on a students’ overall assessment, and on learning recommendations
made.
Dependence on
Technology:
Their overuse may limit ways for one to develop his or her skills in
critical thinking and personal interactions that are important for learning.
Conclusion
Education has been revolutionized by AI techniques as a result of
student-centered learning that is both customizable and affordable, and as a
result of faster delivery of education. However, students and educators have to
rely on this technology wisely because such platforms have their own
disadvantages as well as sharp ethical concerns. By learning how AI functions
in an educational context, students and educators are in a position to make the
best out of this method to foster learning among the learners.
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