Watch Day 1 of RCM’s 5-Day Faculty Development Program on mastering communication and classroom presence, capturing attention, engaging students, and teaching with purpose.
Day 3 | 5-Day - FDP Program 2026
AI in Education: AI-Powered Teaching, Assessment & Faculty Productivity
How is artificial intelligence changing teaching, assessment and academic work? Watch Sashidhar Ambatipudi share practical insights on AI-powered teaching, AI assessment, prompt architecture, academic research workflows and faculty productivity.
Regional College of Management
About This Session
Watch the Full Session on AI in Education
AI is changing how students learn, how educators teach, how assessments are designed and how academic research is conducted.
This Day 3 session of RCM Bhubaneswar’s 5-Day Faculty Development Programme, AI-Powered Future Ready, features Sashidhar Ambatipudi, Director – HR Business Partner at Pegasystems and a certified Gen AI strategist.
The session explores practical applications of AI in education, including AI-powered teaching, assessment design, prompt architecture, AI research workflows, faculty productivity, responsible AI adoption and the continuing importance of human judgment.
Key Takeaways
What You'll Learn From This AI in Education Session
AI Adoption Is Changing the Classroom
The session discusses the gap between student and faculty AI adoption and the need for clearer educational guidance.
AI-Powered Assessment Needs a New Approach
Assessment can increasingly emphasize application, critical thinking and workplace-relevant problem solving.
Better Prompts Produce Better AI Outputs
The session introduces Role, Context, Task, Format, Constraints and Interrogation.
AI Can Support Academic Research
Perplexity, Elicit and NotebookLM are discussed as complementary tools for research workflows.
AI Workflows Can Improve Faculty Productivity
Repeatable workflows can reduce repetitive academic work and unnecessary iterations.
Human Judgment Still Matters
Grading, feedback and ethical decisions should remain human-led, with AI acting as a supporting tool.
AI in Education: Quick Answers
What is AI in education?
AI in education is the application of artificial intelligence to teaching, learning, assessment, research and academic productivity.
How can AI improve teaching?
AI can support personalized learning, content preparation, assessment design, research and repetitive academic tasks when used through structured workflows.
How can teachers use AI for assessment?
Teachers can use AI to support assessments focused on application, critical thinking and workplace-relevant scenarios while maintaining human oversight.
What is prompt architecture?
Prompt architecture structures AI instructions using role, context, task, format, constraints and interrogation to improve outputs.
What is the AI Assessment Scale?
The AI Assessment Scale is a framework discussed in the session for considering different levels of AI involvement in assessment.
Should AI make academic decisions?
No. The session emphasizes keeping judgment-based decisions such as grading, feedback and ethical decisions with educators.
Academic Research
AI Tools for Academic Research
The session presents a layered workflow using complementary AI tools for research discovery, academic sourcing and synthesis.
Prompt Architecture
Six Elements for Better AI Outputs
Effective AI use in education depends not only on the AI tool itself, but also on how the instruction is structured. This framework breaks a strong prompt into six essential elements
01
Role
Define the expertise or perspective AI should adopt.
02
Context
Provide the background, audience, situation, or purpose needed to understand the task.
03
Task
Clearly specify what you want the AI to create, analyze, or accomplish.
04
Format
Define how the response should be structured, such as a quiz, table, lesson plan, or assessment.
05
Constraints
Set boundaries, requirements, difficulty, exclusions, or other conditions the output must follow.
06
Interrogation
Ask AI to review, critique, validate, or improve its own output.
Admissions 2026
Limited Seats Available for 2026 Enrollment!
Don’t miss your chance to secure a spot for 2026. Enquire today!
Watch Day 2 of RCM Bhubaneswar's FDP 2026 on AI for Teaching & Resource Development, covering AI in higher education, learning design and academic resources.
Explore AI in education with Sashidhar Ambatipudi on AI-powered teaching, assessment, prompt architecture, research workflows and faculty productivity.
Learn personal branding for academics through the 5 C’s framework and a practical 30-day visibility plan in this RCM Bhubaneswar FDP session.
QUESTIONS FACULTY ASK
Frequently Asked Questions About AI in Education
Q01What is AI in education?
AI in education refers to the use of artificial intelligence to support teaching, learning, assessment, research and academic productivity.
Q02How can AI improve teaching and learning?
AI can support personalized learning, content preparation and academic workflows while helping educators reduce repetitive work.
Q03How can teachers use AI for assessment?
Teachers can use AI to support assessment design focused on application, critical thinking and real-world scenarios while maintaining human oversight.
Q04What is prompt architecture?
Prompt architecture is a structured approach to prompting AI using role, context, task, format, constraints and interrogation.
Q05What AI tools can support academic research?
The session discusses Perplexity, Elicit and NotebookLM as complementary tools for research discovery, academic sourcing and research synthesis.
Q06How can AI improve faculty productivity?
AI can improve faculty productivity when used through repeatable workflows that reduce repetitive work and unnecessary iterations.
Q07How should AI be used responsibly in education?
Responsible AI use requires attention to data privacy, academic integrity, institutional policy and human judgment.
