CLICK ON THE TOPIC YOU WOULD LIKE TO STUDY OR READ ABOUT
Module 1.
1. Introduction to IKS (What is knowledge System, Characteristic Features of Indian Knowledge System)
2. Why IKS? (Macaulay’s Education Policy and its impact, Need of revisiting Ancient Indian Traditions)
5. Relevant sites in the vicinity of the Institute (Water Management System at Kanheri, Temple Management of Ambarnath, etc.)
Module 2:
1. Art of Governance(Arthashastra)
2. Natyashastra
6. Banking
College
Campus Scavenger Hunt
· Team Size: 3–5
students per team
· Duration: 45
minutes
· Rules:
1.
Stay on campus.
2.
Take a group photo at each location
as proof – team members have to be in the frame
3.
Complete as many tasks as possible
within the time limit.
4.
Creativity earns bonus points!
Scavenger
Hunt Clues & Challenges
1.
20-rupee coin
2.
Long
hair and short hair together in one frame (both boys or both girls)
3.
Dog
and cat in one frame
4.
One
of the teammates sitting in a rickshaw on the drivers seat
5.
Two
sardars together
6.
A
dog peeing
7.
6
different face expressions in 1 picture
8.
Six
pack abs
9.
A
number plate with a single digit
10.
Someone
with God’s picture in their wallet
11.
Someone
with a metallic tooth (gold or silver)
12.
A
girl with three piercings in her ears
13.
A
guy wearing pink shoes
14.
A
girl with a boy-cut
15.
Someone
with a tattoo on their legs
16.
A
six feet tall girl
17.
5
different colored phones in 1 frame
18.
Someone
with green or blue eyes
19.
A
guy with 11 fingers
20.
A
picture depicting cancer awareness
21.
A
guy wearing a suit
22.
A
girl with waist long hair
College
Campus Scavenger Hunt
· Team Size: 3–5
students per team
· Duration: 40
minutes
· Rules:
1.
Stay on campus.
2.
Take a group photo at each location
as proof – team members have to be in the frame
3.
Complete as many tasks as possible
within the time limit.
4.
Creativity earns bonus points!
Scavenger Hunt Clues & Challenges
1.
Library Lore – Find the quietest
corner of the library and snap a group photo “studying” dramatically
(permission needs to be taken from the librarian and silence must be maintained)
2.
Knowledge Steps – Take a photo of
your team pretending to “climb to success” on the main academic building’s
steps.
3.
Get a creative selfie with the most
unusual food combination you can find students having.
4.
Spell out the college’s initials
with your bodies in front of a recognizable building.
5.
Professor Selfie (with permission) –
Ask a professor who is not from your Department to join your team photo doing a
silly face
6.
Chai Time – Take a photo of your
team enjoying chai together at the campus canteen/tea stall.
12. Notice Board Hunt – Find an interesting notice on a campus
notice board and take a picture with it.
13. Rickshaw Pose – inside a rickshaw click a fun picture as
passengers.
14. Cultural Corner – Locate the accountancy museum on campus and
click a team photo.
15. Find the drinking water area (with a cooler) and pose as
though you’re in a soft drink advertisement.
16. Capture a photo of your team pretending to watch a “cricket
match” together dramatically.
17. Find a parked scooter/bike and take a Bollywood-style hero
pose with it.
18. Selfie with Security – Politely ask a campus security guard
for a selfie
19. Take a group photo with the canteen staff who serve you food
every day.
20. Appreciation – Thank a helping staff member and click a
photo giving them a “thumbs up.”
21. Sports Spirit – Join students practicing in the gymkhana and
capture a mid-action shot with them.
22. Student Council Leaders / Rotaract / NSS / DLLE – Snap a
photo with a student representative (bonus if they’re mid-discussion about
campus issues).
23. Classroom Surprise – Convince a group of students from
another class to join your team in a funny group photo.
24. High-Five Marathon – High-five 5 random students on campus and capture at least THREE of the moments.
Field
Visit Etiquette: Do’s & Don’ts
✅ DO’s
· Be Punctual – Arrive on time and stick to the
schedule.
·
Dress Appropriately – Wear neat, comfortable, and
respectful clothing.
·
Pay Attention – Listen actively to speakers; maintain
eye contact.
·
Take Notes – Record key points, observations, and
examples.
·
Ask Questions Politely – Show curiosity, but wait for the
right moment.
·
Be Respectful – Greet staff, thank guides, and
respect the environment.
·
Follow Instructions – Especially in labs, factories, or
restricted areas.
·
Stay with the Group – Avoid wandering off or distracting
others.
·
Be Grateful – End with a polite “Thank you” to the
hosts.
❌ DON’Ts
· Don’t Use Your Phone Casually – No texting, scrolling, or loud
ringtones.
·
Don’t Talk Over the Speaker – Avoid side chatter during
explanations.
·
Don’t Interrupt – Wait for your turn to ask questions.
·
Don’t Be Disrespectful – No mocking, slang, or casual jokes at
the site.
·
Don’t Litter or Damage Property – Leave the place as you found it.
·
Don’t Show Disinterest – Yawning, slouching, or looking bored
creates a poor impression.
·
Don’t Crowd or Push – Give space to others, especially in
small areas.
Think
of a field visit as a mini professional
experience.
Your behavior reflects not just on you, but on your entire class and college.
Behavior
Tips for Field Visits
1. Be Respectful
2. Show Genuine Interest
3. Communicate Professionally
4. Be Responsible
5. Practice Self-Discipline
6. Show Gratitude
7. Reflect Your Best Self
A good field visit is not just about
what you learn, but also how you conduct yourself. People often
remember the students who were attentive, respectful, and genuinely curious.
Click on the topic you want to learn or read about
1. Understanding communication and its significance
2. Introduction to basic theories of communication
3. Role of communication in formation of societies and sustainability
4. Communication during the pre historic era - Cave paintings, petroglyphs, symbolic interactions
5. Stage of Oral communication
6. Development of writing systems
7. Evolution of Language & its role
II ROLE OF CULTURE IN COMMUNICATION DYNAMICS
2. Role of culture on communication
3. Impact of culture on communication patterns
4. Evolution of language over time and introduction of dialects
5. Globalization and its impact on communication
6. Impact of cultural convergence and divergence
IMPACT OF SOCIAL DYNAMICS AND DIGITAL TRANSFORMATION IN COMMUNICATION
1. Group communication and its dynamics
2. Social systems and their impact on communication designs
3. Acquisition of language skills and its role in presentation and personal development
4. Cognitive perspectives of communication advancement
5. Development of communication technologies and its impact
6. Impact of the internet and digital communication
III TECHNOLOGICAL ADVANCEMENTS (USE OF AI) AND COMMUNICATION ETHICS
1. Data protection and privacy (What is AI? Use of AI in Communication)
7. Environmental impact of technology
Ethics of Using Generative AI
Generative AI refers to advanced artificial intelligence
systems that can create original content such as text, images, audio, video, or
code. Popular examples include ChatGPT, DALL·E, MidJourney, and Stable
Diffusion.
While generative AI has enormous potential for creativity,
education, business, and research, it also raises serious ethical concerns.
These concerns revolve around issues of authorship, misinformation, privacy,
bias, transparency, accountability, and societal impact.
Ethics ensures that the use of generative AI is responsible,
fair, and aligned with human values.
Key Ethical Issues in Generative AI
(a) Authorship and Intellectual Property
Generative AI systems produce content based on training
data collected from existing works.
Ethical dilemma: Who owns the content? Is it the AI system,
the programmer, or the end user?
Artists, writers, and musicians worry about their work
being used without credit or compensation.
Example: Lawsuits against AI art generators for using
copyrighted images without permission.
(b) Misinformation and Deepfakes
Generative AI can create realistic fake news, videos, or
audio (deepfakes).
These can mislead the public, manipulate elections, or
spread propaganda.
Ethical concern: How to ensure truth, authenticity, and
accountability in AI-generated content?
(c) Bias and Discrimination
AI models learn from large datasets that often contain cultural,
gender, racial, or political biases.
As a result, generated outputs may reinforce stereotypes or
exclude minority voices.
Example: Biased language in AI-generated recruitment
materials or facial recognition systems misidentifying people of color.
(d) Transparency and Explainability
Many generative AI systems function as “black boxes” –
users cannot clearly see how decisions or content are generated.
Lack of transparency makes it hard to detect errors, bias,
or manipulation.
Ethical responsibility: Developers must provide explainable
AI models and disclose when content is AI-generated.
(e) Privacy Concerns
Generative AI systems are trained on massive datasets that
may include personal or sensitive information.
There is a risk of unintentionally generating private data
or misusing personal information.
Example: Chatbots leaking user data or AI tools generating
confidential corporate documents.
(f) Accountability and Responsibility
If AI creates harmful content, who is accountable – the
developer, the company, or the user?
Ethical frameworks must define responsibility in cases of
defamation, fake news, or harmful outputs.
Current laws are still evolving and often lag behind
technological growth.
(g) Impact on Employment and Human Creativity
Generative AI threatens to replace human roles in writing,
journalism, graphic design, music, and customer support.
Ethical question: Should AI be a tool to augment human
creativity or a substitute that eliminates jobs?
Example: Media houses using AI to generate news reports
without human journalists.
(h) Environmental Impact
Training large AI models consumes huge amounts of energy
and computing power, contributing to carbon emissions.
Ethical responsibility: Promote sustainable AI development
and greener computing solutions.
Ethical Guidelines for Responsible Use
To ensure fairness, transparency, and accountability, organizations
and individuals using generative AI should follow certain principles:
Transparency: Clearly label AI-generated content.
Fair Use: Respect copyrights and intellectual property
laws.
Bias Reduction: Continuously test and correct biased
outputs.
Privacy Protection: Avoid training on sensitive personal
data.
Human Oversight: Keep humans in the loop for
decision-making.
Accountability: Define legal and moral responsibility for
misuse.
Sustainability: Promote energy-efficient AI practices.
The rise of generative AI is both exciting and challenging.
While it enables creativity, productivity, and innovation, it also brings risks
of misinformation, bias, privacy violations, and ethical misuse.
Therefore, the ethics of generative AI demand a balanced
approach—using AI as a supportive tool, not a replacement for human judgment,
creativity, or responsibility. By setting clear ethical standards and legal
frameworks, society can ensure that generative AI contributes positively
without harming individuals, culture, or democracy.
