AI for Teaching and Learning

AI for Teaching and Learning

Two-Week Joint Faculty Development Programme

Learn to integrate powerful AI tools like ChatGPT, Canva, Kahoot, and Quizlet into your teaching to enhance lesson planning, student engagement, and assessment. This hands-on course also explores tools for curriculum design, feedback automation, and research support, while providing essential insights into the ethical and responsible use of AI in education.

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Course Start Date

18 August 2025 –
29 August 2025

Learning Format

Online Live
Learning

Course Duration

40 Hours (Theory, Hands-on & Evaluation)

Course Price

₹500.00
(Inc. GST)

Course Objectives

Utilize AI Tools for Teaching

Develop hands-on skills in using AI-driven tools such as ChatGPT, Canva, and Quizlet for lesson planning, content creation, and assessment.

Enhance Student Engagement

Explore AI-powered platforms like Nearpod, Kahoot, and Flipgrid to design interactive and personalized learning experiences.

Address Ethical Considerations

Analyze the ethical challenges associated with AI in education and research, and formulate strategies to ensure responsible integration into teaching practices.

Course Curriculum

  • Inauguration & Keynote Speech

  • Basics of AI & ML in Education

  • Overview of AI Tools for Teaching

  • Hands-on:

    • Setting up ChatGPT, Gemini, DeepSeek, Perplexity

    • Research & data analysis using Gemini, Perplexity

  • Speaker: TBD

  • Tools: ChatGPT, Canva, Padlet

  • Hands-on:

    • Lesson planning using ChatGPT

    • Student performance analysis via DeepSeek

    • Creating presentations using Canva

    • Organizing content using Padlet

  • Speaker: TBD

  • Tools: Quizlet, Gradescope, Turnitin

  • Hands-on:

    • Create quizzes using Quizlet

    • Automate grading using Gradescope

    • Plagiarism check using Turnitin

  • Speaker: TBD

  • Tools: DeepSeek, Squirrel AI, Century Tech, Microsoft Teams, Slack, Miro

  • Hands-on:

    • Design learning paths (DeepSeek)

    • Adaptive platforms: Squirrel AI, Century Tech

    • Collaboration with Teams & Slack

    • Brainstorming with Miro

  • Speaker: TBD

  • Tools: Zapier, Trello, Grammarly, Perplexity, Google Scholar, ResearchGate

  • Hands-on:

    • Automate admin tasks with Zapier

    • Project management with Trello

    • Improve writing using Grammarly

    • Research with Perplexity, Google Scholar, ResearchGate

Assessment 1: MCQ via Google Form (2:00 – 2:30 PM)

Speaker: TBD

  • Tools: ChatGPT, Humata, Nearpod, Kahoot, Flipgrid

  • Hands-on:

    • Update curriculum using AI (ChatGPT, Humata)

    • Design interactive lessons (Nearpod)

    • Quizzes & video discussions (Kahoot, Flipgrid)

  • Speaker: Dr. Mahipal Jadeja (MNIT Jaipur)

  • Tools: Duolingo, Google Translate, Grammarly, SCISPACE, Notebook LM

  • Hands-on:

    • Use Duolingo & Translate for multilingual learning

    • Grammar check with Grammarly

    • AI for research: SCISPACE, Gemini

  • Speaker: Dr. Menka Yadav (MNIT Jaipur)

  • Tool: Copilot

  • Best practices for AI integration in teaching

  • Hands-on: Create AI-integrated lesson plan

  • Speaker: TBD

  • Challenges and ethical considerations

  • Research-based AI tool exploration

  • Speaker: TBD

  • Tools: AI grammar checkers, paraphrasers, citation generators

  • Hands-on:

    • Use AI for structuring papers

    • Summarize results and format citations

  • Speaker: Dr. Mahipal Jadeja (MNIT Jaipur)

Assessment 2: MCQ via Google Form (2:00 – 2:30 PM)

Per Day Timings: 10.00 am – 02.00 pm

Tools Covered

Canva
Canva
ChatGPT
ChatGPT
Flipgrid
Flipgrid
Grammarly
Grammarly
Kahoot
Kahoot
Nearpod
Nearpod
Quizlet
Quizlet
Copilot
Copilot
DeepSeek
DeepSeek
Perplexity
Perplexity
Gemini
Gemini
zapier
zapier
Google Translate
Google Translate

Program Outcomes

Faculty members will gain hands-on experience with a wide range of AI tools.

Develop an enhanced understanding of AI-driven teaching-learning methodologies.

Participants will be able to effectively integrate AI tools into their teaching practices.

Enable the creation of a resource repository comprising AI-based lesson plans and materials.

Who Should Enroll?

  • Faculty members from universities, colleges, and technical institutions

  • Teaching professionals aiming to integrate AI tools into their instructional practices

  • Educators interested in enhancing teaching effectiveness using AI-powered solutions

Prerequisites

  • No prior experience in AI or programming is required
  • Basic knowledge of computers and internet browsing

Assignments and Hands-On

  • 2 MCQ-based assignments via Google Forms

  • Theory sessions followed by hands-on activities

Course Coordinator & Mentors

Principal Coordinator

  • Dr. Hanumant Singh Shekhawat, IIT Guwahati

Joint Principal Coordinator

  • Dr. Lava Bhargava, MNIT Jaipur
  • Prof. Prabin K Padhy, IIITDM Jabalpur
  • Dr. B. C. Sahana, NIT Patna
  • Prof. M. P. Singh, NIT Patna
  • Mr. ARKS Srinivas, IIT Kanpur

Course Fee

TOTAL PROGRAM FEE

₹ 500 (Inc. GST)

  • Course Type: Online Live
  • Certificate: Yes
  • Start Date of Registration: 22-05-2025
  • Last Date of Registration: 04-08-2025
  • Course Start Date: 18-08-2025 to 29-08-2025
  • Duration: 40 Hrs (Including Theory, Hands-on & Evaluation)
  • Timings: 10.00 am – 02.00 pm

Data Science Course Fee

  • A bachelor's degree with an average score of at least 50%
  • Prior knowledge or experience in programming and mathematics
  • 2+ years of formal work experience (preferred)

Best Suited For

  • Software Engineers
  • Freshers
  • BI Developers

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