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WorksheetsMUIT FDP Test
Total questions: 20
Worksheet time: 15mins
Q1. A faculty member at MUIT uses ChatGPT to generate lecture notes but notices subtle factual inaccuracies. Which AI limitation best explains this issue?
Overfitting
AI hallucination
Reinforcement bias
Data encryption failure
While preparing an LTP (Lecture–Tutorial–Practical) plan, an engineering faculty uses AI-generated content. Which practice is MOST ethically appropriate?
Using content directly without verification
Modifying AI output and adding domain expertise
Sharing AI prompts with students as final notes
Avoiding AI tools entirely
A political science faculty uses an LLM to analyze public policy trends. Which risk is MOST relevant?
Hardware failure
Slow processing speed
Over-encryption of data
Algorithmic bias influencing interpretations
In pharmacy research, AI is used to analyze clinical trial data. Which ethical principle is CRITICAL?
Speed of computation
Graphical visualization
Data privacy and informed consent
Automation of reports
A faculty member relies entirely on AI for question paper setting. What is the primary academic risk?
Reduced printing cost
Faster evaluation
Increased student satisfaction
Loss of pedagogical alignment and Bloom’s taxonomy balance
Which prompt is MOST effective for generating a case-study-based MBA question?
“Explain marketing”
“Create MBA questions”
“Design a real-world case study on digital marketing ethics for MBA students with discussion questions”
“Give notes on marketing ethics”
As per today’s FDP session (31st Jan 2026), the expert mainly focused on best practices and methodologies.
Neuron
Humanoid
ChatGPT
Gen AI
A humanities faculty uses AI to summarize research articles. What should be done BEFORE citing the summary?
Verify with original sources
Share with students
Avoid AI Tool
Translate it into Hindi
In research ethics, using AI-generated data without disclosure is considered:
Innovation
Acceptable automation
Efficient research practice
Academic misconduct
Which scenario BEST reflects responsible AI use in our classrooms?
AI grading without faculty review
AI-generated data reviewed and contextualized by faculty
Fully automated teaching
Replacing lectures with AI chatbots
A faculty notices AI recommendations differ for similar prompts. This indicates:
Noise
Hardware error
Prompt length issue
Algorithmic bias
Which of the following AI tool mostly uses for Creating Presentation?
ChatGPT
Gemini
slides.ai
presentations.ai
What core FDP learning outcome does this image reinforce?
AI should replace evaluators
AI grading is always accurate
Human judgment remains essential and irreplaceable
Human judgment remains essential and irreplaceable
Which action BEST reduces AI hallucination in academic content creation?
Increasing prompt length randomly
Using vague instructions
Asking for sources and cross-checking outputs
Avoiding domain terms
As discussed in FDP session, “R-C-F Rule” primarily emphasizes in AI context:
Rapid Content Fabrication
Random Code Formatting
Ready Code Formula
Responsible, Contextual & Fair use of AI
Which faculty task should NOT be fully delegated to AI?
Drafting lesson outlines
Preliminary quiz generation
Final academic judgment and evaluation
Content brainstorming
Which prompt is BEST for creating ethical case studies in pharmacy education?
“Develop a real-world ethical dilemma case in clinical pharmacy for UG students with guiding questions”
“Create notes on ethics”
“Write about pharmacy”
“Explain drugs”
A faculty member notices ChatGPT gives confident but incorrect citations. This occurs primarily because:
ChatGPT accesses outdated journals
Internet access is disabled
Training data is small
ChatGPT predicts text rather than verifies facts
A faculty member asks ChatGPT to “act as a PhD examiner.” This works mainly due to:
Role-based prompt framing
Dataset specialization
Internal subject memory
Access to university policies
In Vedanta, Brahman is described as self-existent and self-luminous. Which characteristic of Generative AI most clearly distinguishes it from Brahman?
AI can generate novel responses
AI depends on external data, energy, and algorithms
AI can imitate human reasoning
AI can process information at scale
