AI-Based Assessment

 AI-Based Assessment

Introduction: The Changing Mirror of Assessment

As an educator with over two decades of experience, the word assessment has long conjured a familiar set of images: the red pen, stacks of answer sheets, questions rooted in rote memorization, and the inevitable bell curve that sorted students into rigid brackets. Confined by the prevailing curriculum and prescribed textbooks, our primary function was to verify knowledge and understanding.

But did we truly and objectively measure a student’s ability to apply that knowledge—or to create something new from it? The honest answer is no. We had limited tools.

Then came the National Education Policy 2020 (NEP 2020), along with the new National and State Curriculum Frameworks (NCF/SCF). Together, they shattered this traditional mirror of assessment. They demanded a seismic shift: from rote memorization to competency-based learning, and from summative examinations to Continuous and Holistic Evaluation (CHE). The focus moved decisively from what to learn to learning how to learn.

This shift presented a profound professional dilemma.

Consider my experience while teaching the Class 6 English lesson “The Mouse Merchant.” My traditional approach was simple and predictable. Students would read the text, memorize vocabulary, and answer questions such as:

“What did the merchant give Somdatta?” or “What did Somdatta do with the dead mouse?”

I would grade their recall, record the marks, and consider my job done.

NEP 2020, however, compelled me to confront far more demanding questions:

“You tested their memory—but did you assess their entrepreneurship?

Did you evaluate their problem-solving skills?

Did you observe their resilience and resourcefulness?”

Frankly, I had no practical way to do this. In a class of forty to fifty students, how could one objectively and continuously assess such 21st-century competencies?

Under my old assessment model, a student who perfectly recalled Somdatta’s actions was labeled “intelligent.” Yet another student—let us call him Ravi—who was genuinely creative, resourceful, and a natural problem-solver, often performed poorly simply because his recall skills were weak. My assessment was measuring content, not competency.

It was at this precise moment of pedagogical transition—this crisis of practice—that Artificial Intelligence (AI) entered my classroom. Not as a replacement for the teacher, but as a Teacher’s Assistant.

This essay is a reflective account of that journey—how one simple lesson, The Mouse Merchant, became the foundation for transforming my assessment practices from a traditional model to an AI-enabled, competency-based approach.

NEP 2020–Aligned Techniques and Tools

NEP 2020 clearly emphasizes that assessment must be Assessment for Learning, not merely Assessment of Learning. My goal shifted from identifying student errors to empowering students to identify and correct their own.

Viewed through this lens, The Mouse Merchant is not just a story—it is a project report for a start-up. It is a blueprint for building an enterprise from nothing. To assess such learning meaningfully, I implemented the following AI-based techniques.

Technique 1: AI-Based Simulation — “The Modern-Day Mouse Merchant”

Objective (Competency):

Critical Thinking, Decision-Making, Financial Literacy

NEP 2020 Alignment:

Experiential Learning and Problem-Solving

My Experience and Process:

Earlier, when I asked, “What would you do in Somdatta’s place?”, students merely repeated textbook-approved answers.

Using a simple, free AI platform, I created a “Choose Your Own Adventure” simulation.

Game Title: The Modern Merchant

Scenario (Opening Screen):

“You are Somdatta. You have ₹10 (today’s equivalent of the ‘dead mouse’). What will you do?”

Choices:

(a) Buy chocolates

(b) Buy two pens for ₹10 and try to sell them for ₹15

(c) Save the money

AI’s Role:

The AI dynamically generated the next scenario based on the student’s choice.

If a student selected option (b), the AI responded:

“Congratulations! You sold one pen but lost the other. You now have ₹7.50. What is your next move?”

Assessment Transformation:

This was not a test—it was a game. Yet the backend analytics were revelatory. I discovered that nearly 60% of students spent their first profit on chocolates.

The central concept of reinvestment—the very essence of The Mouse Merchant—had not been internalized. This critical learning gap would never have surfaced in a traditional written test.

For me, this tool proved immensely practical and powerful.

Technique 2: AI-Based Reading Fluency and Pronunciation Tutor

Objective (Competency):

Reading Fluency, Listening Skills, Pronunciation

NEP 2020 Alignment:

Personalized Feedback and Self-Assessment

My Experience and Process:

Earlier, I would ask one student to read aloud while the remaining thirty-nine disengaged. Shy students, fearing correction, rarely volunteered.

I introduced an AI-powered reading tool. Using headphones, students read a passage from The Mouse Merchant. The AI provided instant feedback on pronunciation, reading speed (Words Per Minute), and specific stumbling points.

Assessment Transformation:

The change was remarkable. A shy student—let us call him Rohan—practiced the same passage five times. Why? Because he was being evaluated by the AI, not by “Madam.”

The feedback was private, immediate, and non-judgmental. As a teacher, I now had a comprehensive speaking report for every student. My role shifted from listening repeatedly to analyzing patterns and addressing specific pronunciation issues.

Technique 3: AI-Assisted Creative Writing and Peer Assessment

Objective (Competency):

Creativity, Collaboration, Constructive Feedback

NEP 2020 Alignment:

Peer Assessment and 360-Degree Evaluation

My Experience and Process:

I gave students a writing prompt:

“What if Somdatta had failed?”

AI as a Thinking Partner:

Students used AI tools such as ChatGPT or Gemini to generate story ideas or outlines—using AI to think, not to copy.

AI for Grammar Feedback:

First drafts were refined using AI-based grammar tools.

AI-Facilitated Peer Review:

I anonymized the stories and uploaded them to a shared platform. Using AI, I generated a fair rubric (e.g., Originality, Character Development, Conclusion—5 points each). Students then reviewed and graded one another’s work.

Assessment Transformation:

Earlier, I would be exhausted correcting grammar across forty essays, leaving little energy to comment on creativity. Now, AI handled the mechanical corrections. Self- and peer-assessment addressed much of the evaluation.

My role evolved from corrector to moderator—and finally to data analyst. The AI aggregated peer-review data and revealed that 70% of the class struggled with writing effective conclusions. Instantly, I had my next teaching focus.

Assessment had truly become Assessment for Learning.

Conclusion: A Mirror of Professional Transformation

Teaching The Mouse Merchant has become a mirror of my own professional journey.

I was not replaced by AI—I was liberated. Liberated from the mechanical burden of grading and free to engage in the deeply human work of mentoring and teaching.

Earlier: I corrected answer sheets.

Now: I analyze learning gaps.

In the story, the merchant gives Somdatta a dead mouse—a simple tool. More importantly, he gives him vision.

For me, NEP 2020 is that vision. AI is the tool.

Like the merchant, the teacher’s role has evolved. We are no longer merchants of information; we are mentors capable of identifying the Somdatta in every child. NEP 2020 provides the why and the what. AI offers the how—objective, personalized, and effective.

Together, they empower every learner to become a Modern Merchant, capable of building an empire from nothing.

- Ashwini Deepak Adkar

New English School, Vadgaon Maval, Pune

(मूल्यांकनाच्या नव्या दिशा राज्यस्तरीय निबंध स्पर्धा 2025 मधील इंग्रजी माध्यमातून द्वितीय क्रमांक प्राप्त निबंध)