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AI in Chemical Engg Teaching: Teacher Expectation Survey

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AI in Chemical Engg Teaching: Teacher Expectation Survey

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Survey of teachers' expectations

Created by

Balasubramanian Balu
Balasubramanian Balu
India

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AI in Chemical Engg Teaching: Teacher Expectation Survey
 

AI in Chemical Engg Teaching: Teacher Expectation SurveyOnline version

Survey of teachers' expectations

by Balasubramanian Balu
1

What core objective do teachers expect AI to support in teaching-learning activities?

2

Which NEP 2020 principle do teachers expect AI to align with?

3

In the session, what role do teachers envision for themselves with AI?

4

Which area is NOT listed as a key AI functional area for integration?

5

What transformation do teachers expect AI to drive in the teaching role?

6

Which benefit of AI for administration is anticipated by teachers?

7

What is the expected impact of AI on assessment, according to the slides?

8

Which challenge do teachers expect AI to reduce?

9

What is a key question for Future Ready Education mentioned in the slides?

10

Which outcome describes the desired collaboration model with AI?

Feedback

AI-enabled teaching-learning is the stated core objective to support teaching and learning with AI.

NEP 2020 emphasizes human-centric and skill-based education; AI should align with that.

The materials describe teachers as mentors and learning designers in AI-enabled contexts.

Physical lab construction is not listed as an AI functional area; the others are.

The slides show a shift to mentoring, design, and co-teaching with AI.

Administration tools include scheduling and workload management.

Assessment intelligence includes automation for papers and rubrics.

AI is depicted as reducing overload and enabling personalized learning.

One of the core questions is how to use AI to enable experiential learning.

The material promotes a co-teaching model with AI and teachers.

 
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