The document discusses the transformative role of artificial intelligence (AI) in education, highlighting its potential to personalize learning, enhance accessibility, and improve efficiency in educational processes as per India's National Education Policy 2020. It includes various real-life examples of AI applications in education, such as adaptive learning platforms and tools that facilitate student engagement and administrative task automation. The document also addresses potential challenges and misconceptions about AI, advocating for its supportive role alongside human educators.

1. Role of AI in Education:
Education
Reimagined!
Dr. Bhavin Chauhan
Department of Education,
Faculty of Education and Psychology
The Maharaja Sayajirao University of Baroda
Vadodara, Gujarat, India
chauhan.bhavin-edu@msubaroda.ac.in
Mob. No. 9979896161
http://edutainmentwithbhavinchauhan.blogspot.com/
https://wordlifewithme.blogspot.com/

2. AI- Concept
• Artificial intelligence (AI) is a
scientific field that involves
creating machines and
computers that can learn,
reason, and act in ways that
would normally require
human intelligence.

3. AI- Concept
• Artificial Intelligence, refers
to the simulation of human
intelligence in machines.
• Computer systems capable
of performing complex tasks
that historically only a
human could do, such as
reasoning, making decisions,
or solving problems.

4. National
Education
Policy (NEP)
2020
recommends
Artificial
Intelligence
(AI)
• India's National Education Policy
(NEP) 2020 acknowledges the
potential of Artificial Intelligence (AI)
to transform the educational
landscape.
• It emphasizes the use of AI to
enhance educational processes, make
learning more personalized and
inclusive, and improve the overall
effectiveness of the education system.

5. Key Recommendation by NEP 2020 on
the Use of AI in Education
• Personalized Learning
• Teacher and Student Support
• Assessment
• Content Development
• Language Translation and Support
• Educational Accessibility
• Networking and Collaboration
• Skill Development and Lifelong Learning
• Data Analytics and Decision Making
• Enhancing Online and Digital Education

6. Potential Benefits Potential Dangers
Greater accuracy for certain repeatable
tasks, such as assembling vehicles or
computers.
Job loss due to increased automation.
Decreased operational costs due to
greater efficiency of machines.
Potential for bias or discrimination as a
result of the data set on which the AI is
trained.
Increased personalization within digital
services and products.
Possible cybersecurity concerns.
Improved decision-making in certain
situations.
Lack of transparency over how decisions
are arrived at, resulting in less-than-
optimal solutions.
Ability to quickly generate new content,
such as text or images.
Potential to create misinformation, as
well as inadvertently violate laws and
regulations.

7. DEEP Down
fear of AI
• AI will replace
Teachers.

8. Reality is
Different.
• AI will support,
empower and
complement teachers.
• Mundane, repeated
task will be automated
so that teachers can
focus more deeply on
teaching effectiveness
and students’ learning
effectiveness.

9. Why AI in
Education
• Personalization of
Learning Experiences
• AI enables personalized
learning by adapting
content, pace, and learning
strategies to meet the
unique needs of each
student, improving
engagement and outcomes.

10. Real-life
Example
• Newsela adjusts the
reading level of
current event articles
to suit the individual
student's reading
ability, enhancing
comprehension and
engagement.

11. Why AI in
Education
• Increased Accessibility
• AI makes education more
accessible to students with
disabilities or those who
require additional support
through tools that tailor
learning experiences to
their needs.

12. Real-life
Example
• Google's Project Euphonia
uses AI to help people with
speech impairments
communicate more easily,
thereby making digital
educational content more
accessible to them.

13. Why AI in
Education
• Enhancing Efficiency and
Productivity
• AI automates
administrative tasks like
grading and attendance,
freeing up teachers to
spend more time on
instruction and student
support.

14. Real-life
Example
• Knewton provides an AI-
powered platform that
offers automated grading of
assignments, significantly
reducing teachers'
workload.

15. Why AI in
Education
• Facilitating Data-Driven
Decision Making
• AI offers insights into
student performance and
learning trends, enabling
educators and institutions
to make informed decisions
that improve educational
outcomes.

16. Real-life
Example
• The Georgia State University
uses an AI-enhanced
advising system to analyze
student data and identify
those at risk, improving
graduation rates.

17. Why AI in Education
• Improving Engagement and
Interactive Learning
• AI-powered tools enhance
engagement through
interactive and immersive
learning experiences like
simulations, gamified learning,
and virtual reality.

18. Real-life
Example
• Querium's StepWise virtual
tutor uses AI to provide
step-by-step coaching in
STEM subjects, making
learning more interactive
and engaging.

19. Why AI in
Education
• Breaking Language
Barriers
• AI facilitates multilingual
education and breaks down
language barriers, allowing
students from different
linguistic backgrounds to
access quality education.

20. Real-life
Example
• Duolingo uses AI to offer
personalized language
learning experiences,
supporting a wide range of
languages and helping to
bridge language gaps.

21. Why AI in
Education
• Supporting Continuous
Learning and Professional
Development
• AI promotes lifelong
learning by offering
personalized professional
development resources for
educators and learners,
keeping skills relevant in a
rapidly changing world.

22. Real-life
Example
• LinkedIn Learning uses AI to
recommend courses based
on users' job roles, skills,
and previous learning
patterns, supporting
continuous professional
growth.

23. Why AI in
Education
• Predictive Analytics for
Early Intervention
• AI's predictive analytics
identify students who may
need additional support,
enabling timely intervention
to address academic or well-
being concerns.

24. Real-life
Example
• Purdue University's Course
Signals system uses
predictive analytics to flag
students who might be at
risk, allowing for early
intervention and support.

25. Why AI in
Education
• Encouraging Innovative
Educational Practices
• AI inspires innovation in
teaching and learning
methods, pushing the
boundaries of traditional
education and encouraging
the exploration of new
pedagogical approaches.

26. Real-life
Example
• The AI-powered Jill Watson, a
virtual teaching assistant at
Georgia Tech, handles
routine queries, allowing
instructors to focus on more
complex student needs and
innovative teaching
methods.

27. How to
Integrate AI
with
Education
• Personalized Learning Paths
• AI algorithms analyze students' learning styles, strengths, and
weaknesses to create personalized study plans, making
education more effective.

28. Real-life
Example
• DreamBox Learning offers
math lessons that adjust in
real-time, providing students
with tasks tailored to their
skill level.

29. How to
Integrate AI
with Education
• Intelligent Tutoring
Systems
• These systems simulate one-
on-one interaction between
students and tutors, offering
personalized feedback and
instruction without replacing
human interaction.

30. Real-life Example
• Carnegie Learning's MATHia software
provides real-time feedback and
personalized learning experiences,
mimicking a human tutor's support.

31. How to
Integrate AI
with Education
• Automating Administrative
Tasks
• AI streamlines administrative
duties like grading,
attendance tracking, and
admissions processes,
allowing educators to focus
more on teaching.

32. Real-life
Example
• The AI-powered tool
Gradescope helps teachers
grade assignments more
quickly and consistently,
even adapting to different
grading styles.

33. How to
Integrate AI
with Education
• Enhancing Classroom
Interaction
• AI-driven tools can enhance
interaction during lessons
through real-time
questions, polls, and
feedback, engaging
students more effectively.

34. How to Integrate AI
with Education
• Supporting Students with
Disabilities
• AI offers customized solutions for
students with disabilities, such as
adaptive learning tools and accessible
content, enhancing their learning
experience.

35. Real-life Example
• Microsoft's Learning Tools use AI to
improve reading comprehension for
students with dyslexia, providing text
decoding solutions and immersive
reading experiences.

36. How to Integrate AI
with Education
• Language Learning
• AI facilitates language learning by
offering personalized feedback, voice
recognition, and interactive
conversational practice.

37. Real-life Example
• Duolingo's AI-driven platform
assesses user proficiency and
customizes lessons, using speech
recognition to provide feedback on
pronunciation.

38. • Predictive Analytics for Improving Outcomes
• AI analyzes data on student performance and engagement
to predict outcomes and identify students who may need
additional support.
How to Integrate AI with
Education

39. Real Life
Example
• The University of California,
Irvine, uses predictive
analytics to identify students
at risk of dropping out,
enabling timely intervention.

40. How to
Integrate AI
with Education
• Virtual and Augmented
Reality for Immersive
Learning
• AI-powered VR and AR
create immersive learning
experiences that can
simulate real-life scenarios
or historical events,
enhancing understanding
and retention.

41. Real-life
Example
• Labster's virtual labs use AI
to simulate science
experiments, allowing
students to conduct
experiments virtually that
would be impossible or
unsafe in a traditional
classroom.

42. How to Integrate
AI with
Education
• Continuous Professional
Development for
Educators
• AI-driven platforms offer
personalized learning
opportunities for
teachers, keeping them
updated on the latest
educational technologies
and teaching
methodologies.

43. Real Life
Example
• Coursera, EdX,
FutureLearn, OpenLearn
and other MOOCs use AI
to suggest courses to
educators based on their
interests, teaching areas,
and previous course
engagements.

44. Best AI Tools
for Educators
• Turnitin: Primarily known for its plagiarism detection capabilities,
Turnitin employs AI to help educators ensure academic integrity.
It also provides feedback tools that can assist students in
improving their writing skills by identifying grammatical errors
and suggesting improvements.

45. Best AI Tools
for Educators
• Knewton: Knewton provides an adaptive learning platform that
personalizes educational content to match the learning pace and
style of individual students. By analyzing data on how students
interact with the material, Knewton can tailor educational
pathways to optimize learning outcomes.

46. Best AI Tools
for Educators
• Carnegie Learning: This AI-driven platform focuses on providing
personalized math education. It leverages cognitive science and
AI technologies to offer tailored instructions, practice, and
feedback to students, aiming to improve their understanding and
performance in math.

47. Best AI Tools
for Educators
• Chat GPT by OpenAI: Although not solely
focused on education, GPT has been widely
used in educational research for natural
language processing tasks. It can generate
human-like text, answer questions, and
even create content, making it a valuable
tool for developing educational materials
and interactive learning experiences.

48. Best AI Tools
for Educators
• ALEKS (Assessment and Learning in
Knowledge Spaces): ALEKS is an online
tutoring and assessment program that uses AI
to provide personalized learning experiences in
subjects like mathematics, chemistry, and
statistics. It assesses a student's knowledge to
identify what they know and what they're ready
to learn next, facilitating a tailored learning
path.

49. Best AI Tools
for Educators
• Squirrel AI: This is one of the leading
adaptive learning platforms, providing
students with personalized and dynamic
learning pathways. It uses sophisticated
algorithms to diagnose a student's
knowledge gaps and tailor the curriculum
accordingly, making it a powerful tool in
educational outcomes research.

50. Best AI Tools
for Educators
• EduBrite: EduBrite is a Learning
Management System (LMS) that utilizes AI
to provide personalized learning
experiences and analytics for both
corporate training and educational
institutions. Its capabilities include micro-
learning, assessments, and certifications
that cater to varied learning needs.

51. Best AI Tools for
Educators
• Watson Education by IBM: This
AI-powered platform provides
educators with insights into
learning habits and
performances, enabling
personalized learning
experiences. Watson can analyze
a wide range of data to provide
feedback and recommendations
that improve teaching strategies
and student outcomes.

52. Best AI Tools
for Educators
• Content Technologies, Inc.
(CTI): CTI uses AI to create
customized textbooks and
educational content. By
analyzing curricula and
evaluating existing textbooks,
it can produce tailor-made
textbooks that cater to the
specific requirements of a
course or institution.

53. Success Formula
Artificial Intelligence
+ Human Intelligence
Positive Future for Educators

54. Early to…
•Adopt
•Adept

55. Free and
Beginner Friendly
Programmes
•
Google's Introduction to Gen
erative AI
• https://www.coursera.org/le
arn/ai-for-everyone

56. Let’s Check Your Understanding!
AI can automate mundane tasks, allowing teachers to focus
on:
A) Only administrative work
B) Only grading and attendance
C) Teaching effectiveness and student learning
D) Taking more breaks
Answer is C.

57. Let’s Check Your Understanding!
How does AI contribute to personalizing learning
experiences?
A) By grading assignments only
B) By providing the same content to every student
C) By adapting content, pace, and learning strategies to each student's
needs
D) By offering only standardized tests
Answer is C.

58. Let’s Check Your Understanding!
Which project by Google aims to help people with speech
impairments communicate more easily?
A) Google Lens
B) Project Euphonia
C) Google Assistant
D) Google Translate
Answer is B.

59. Let’s Check Your Understanding!
AI-powered advising systems in universities aim to:
A) Decrease graduation rates
B) Make the admission process more competitive
C) Replace academic advisors
D) Identify at-risk students for timely intervention
Answer is D.

60. Let’s Check Your Understanding!
What does AI's predictive analytics in education aim to
improve?
A) Only the scheduling of classes
B) Outcomes by predicting students who may need additional support
C) The complexity of exams
D) The number of textbooks required
Answer is B.

61. Let’s Check Your Understanding!
What does the AI platform "Knewton" specialize in?
A) Adaptive physical education
B) Personalizing educational content
C) Only history lessons
D) Science experiments
Answer is B.

62. Unwanted Advice!
Learn!

63. Thank YOU!
Dr. Bhavin Chauhan
Communication Consultant and Founder of Communication Consultancy
Assistant Professor, Faculty of Education and Psychology, The Maharaja Sayajirao University of Baroda
Blogger @ https://nonverbalwithme.blogspot.com/
http://edutainmentwithbhavinchauhan.blogspot.com/
https://bhavinspirational.blogspot.com/
bhavincchauhan@gmail.com
WhatsApp- 9979896161