AI refers to the ability of machines or software to perform tasks that typically require human intelligence. It encompasses areas like machine learning, natural language processing, and computer vision

1. Introduction to AI
in Higher Education
Mrs.Preeti Boyjonauth-Shamboo
Technologist
Higher Education Commission
Introduction to AI in Higher Education © 2024 by Preeti Boyjonauth-Shamboo is licensed under CC BY 4.0

2. AI Concepts
and History

3. Definition of Artificial Intelligence
Artificial intelligence (AI) refers to
computer systems capable of
performing complex tasks that
historically only a human could do,
such as reasoning, making
decisions, or solving problems.

4. Timeline of AI Milestones
 AI Timeline: Key Events (1950-2024)
1. 1952: Arthur Samuel creates the first computer learning
application.
2. 1955: John McCarthy coins the term “artificial intelligence.”
3. 1967: Frank Rosenblatt designs the first artificial neural
network.
4. 2019: OpenAI releases the GPT-2 language model.
5. 2020: Waymo launches fully autonomous taxi service, Waymo
One.
6. 2022: OpenAI debuts ChatGPT for conversational AI.
7. 2023: Meta’s LLaMA AI model sparks open vs. closed access
debate.
8. 2023: OpenAI’s Dev Day introduces custom GPTs.
9. 2024: DeepMind’s AlphaFold 2 revolutionizes protein structure
prediction.

5. AI's Role in
Education Today

6. Current Applications of AI in Academia
Automated
Grading and
Feedback
Intelligent
Tutoring Systems
Research
Assistance
Predictive
Analytics
Content
Generation

7. Trends Shaping the Future of AI in
Higher Education
Predictive AI for Student Retention
Personalised Learning Journeys
AI-Generated Content
Immersive AI in classroom
Data-Drive Decision Making

8. Predictions for AI in Education
 AI’s growth trajectory is astonishing, drawing parallels
from the evolution of computers and the internet.
 Technologies like ChatGPT demonstrate this exponential
growth, suggesting an almost uncatchable pace for
education and government systems without significant
changes in decision-making processes.
 This interaction could shape their perceptions and
understanding of AI, influencing classroom dynamics.
 As we embrace 2024, it’s clear that AI will continue to be
a transformative force in education. The journey ahead is
filled with both challenges and opportunities. By staying
curious, connected, and committed to learning, we can
ensure that humans remain at the heart of AI education.

9. Suggested Graphic: Infographics
showing statistics on AI adoption in
higher education.
 By 2023, the global AI in education market
is expected to reach approximately $3.68
billion.
 As of 2021, more than 50% of higher
education institutions in the United States
are using some form of AI.
 64% of educational institutions believe
that AI is instrumental in their ability to
maintain business continuity.
 These numbers highlight the growing
influence of AI in shaping the future of
education.

10. AI Tools for
Educators

11. 1. ChatGPT by OpenAI:
1. Use ChatGPT as a stand-in for specific personas (e.g., debate partner,
recruiter, boss) to explore information in a conversational setting.
2. Encourage critical thinking and nuanced understanding of material11.
2. Winston AI:
1. An AI detector that helps prevent plagiarism and provides feedback.
2. Useful for maintaining academic integrity in student work.
3. Quillbot:
1. An AI paraphrasing and research citation tool.
2. Helps rewrite and cite text, enhancing writing quality.
4. Speechify:
1. An AI text-to-speech tool.
2. Reads class notes and study materials aloud, making learning more
accessible22.
5. Generative AI for Educators (Grow with Google):
1. Learn how to use generative AI tools to save time, personalize
instruction, and enhance lessons.
2. Explore creative ways to integrate AI into the classroom

12. Ethical AI
Use in
Education

13. The ethical use of Artificial Intelligence (AI) in
education is crucial to ensure responsible and
equitable adoption.
Safeguard student data and ensure compliance with privacy regulations.
Implement robust security measures to protect sensitive information.
Data Privacy
and Security:
AI algorithms can inherit biases from training data.
Regularly audit and evaluate AI systems for fairness across diverse student populations.
Algorithmic
Bias and
Fairness:
Educators and students should understand how AI decisions are made.
Transparent AI systems build trust and accountability.
Transparency
and
Explainability:
Obtain consent from students and parents before using AI tools.
Clearly communicate how AI will impact their learning experiences.
Informed
Consent:
AI should complement human expertise, not replace it.
Encourage collaboration between educators and AI systems.
Human-AI
Collaboration:

14. The ethical use of Artificial Intelligence (AI) in
education is crucial to ensure responsible and
equitable adoption.
Ensure that AI-generated content aligns with educational goals.
Avoid promoting harmful stereotypes or misinformation.
Ethical
Curriculum
Design:
Regularly assess the impact of AI on student outcomes.
Adjust AI systems based on feedback and ethical considerations.
Continuous
Monitoring
and
Evaluation:
Provide professional development on AI ethics.
Equip educators with the knowledge to make informed decisions.
Educator
Training:
Teach students about AI, its benefits, and risks.
Foster critical thinking and ethical awareness.
Student
Empowermen
t:
Involve students, parents, policymakers, and industry experts in AI discussions.
Create policies and guidelines collaboratively
Collaborate
with
Stakeholders: