ChatGPT and Other AI Tools in Teacher Education

 

1. Introduction

Illustration: AI as a supportive tool in teaching and learning.

Artificial Intelligence (AI) is becoming an important part of modern education. Tools such as ChatGPT, Google Gemini, Microsoft Copilot, Canva AI and other AI-supported platforms can help teachers generate ideas, prepare learning resources, explain concepts, create questions, draft feedback and support professional learning. AI has the potential to make teaching more flexible and efficient, but it needs to be used thoughtfully and responsibly.

For teacher education, the development of AI literacy is especially important. Student-teachers need to understand not only how to operate AI tools, but also when to use them, how to write useful prompts, how to check the accuracy of AI-generated information, and how to use AI in ways that protect learners' privacy and dignity.

The purpose of this practical blog is therefore to examine the educational uses, opportunities, challenges, ethical considerations and responsible practices associated with ChatGPT and other AI tools in teacher education.

2. Meaning and Concept of Artificial Intelligence

Artificial Intelligence refers to computer systems that can perform tasks associated with human intelligence, such as processing language, recognising patterns, generating content and supporting decision-making. Generative AI is a form of AI that can create new content such as text, images, presentations, audio and computer code.

ChatGPT is a conversational generative-AI tool that responds to prompts and can assist with a wide range of educational tasks. Similar AI tools may provide specialised support for writing, designing, research, presentations and learning activities.

Concept	Meaning	Teacher-education relevance
Artificial Intelligence	Technology that performs tasks associated with human intelligence.	Builds basic AI literacy and awareness.
Generative AI	AI that produces new content in response to instructions or prompts.	Supports resource creation, brainstorming and examples.
Prompting	Giving clear instructions or questions to an AI system.	Helps student-teachers obtain more useful outputs.
AI literacy	Understanding AI's uses, limitations, risks and responsible application.	Develops informed and ethical professional practice.

3. Importance of AI in Teacher Education

• AI literacy helps future teachers understand the opportunities and limitations of emerging technologies.

• AI can assist in lesson planning, activity design, question generation and preparation of learning resources.

• It can support differentiated learning by suggesting explanations and activities at different levels.

• AI can help teachers explore new pedagogical ideas and reflect on classroom practice.

• It encourages future teachers to develop critical digital literacy, including checking and verifying information.

• Teacher education can prepare students to use AI ethically, transparently and responsibly.

4. AI and 21st Century Skills

Illustration: AI-supported development of 21st century skills.

AI tools can be connected with 21st century skills when they are used as part of purposeful learning tasks rather than as substitutes for thinking. Teacher education can use AI activities to develop critical thinking, creativity, communication, collaboration, digital literacy and adaptability.

Skill	AI-supported practice
Critical thinking	Compare AI output with reliable sources, identify errors and explain corrections.
Creativity	Use AI for brainstorming and then develop an original classroom resource.
Communication	Refine prompts, explanations, feedback and learner-facing content.
Collaboration	Work with peers to evaluate, edit and improve AI-generated material.
Digital literacy	Understand AI capabilities, limitations, privacy, bias and responsible use.
Adaptability	Explore new tools while maintaining clear learning objectives and teacher judgement.

5. Use of ChatGPT and Other AI Tools

Illustration: Practical classroom and professional uses of AI tools.

Lesson Planning: Teachers can use AI to brainstorm lesson objectives, activities, examples, discussion questions and classroom tasks. The teacher should review and adapt suggestions according to the curriculum and learners' needs.

Learning Resources: AI can help create worksheets, summaries, explanations, vocabulary activities, stories, question banks and ideas for visual resources.

Assessment Support: AI can assist in drafting questions, rubrics and feedback statements. Teachers should check whether the assessment matches the intended learning outcomes.

Differentiated Teaching: AI can suggest alternative explanations, simpler language, additional practice and extension activities for learners with varied levels of understanding.

Professional Development: Teachers can use AI to explore teaching strategies, organise professional-learning ideas and reflect on classroom practices.

Research and Academic Work: AI may support brainstorming and organisation of ideas. Original sources should be checked and cited, and final academic analysis should reflect the student's own understanding.

6. Role of Teachers and Educational Institutions

Teachers remain responsible for the educational decisions made in their classrooms. AI can provide suggestions, but teachers must decide whether those suggestions are accurate, suitable and useful for their learners.

• Teachers should verify important facts and information before using AI-generated content.

• Teachers should protect student privacy and avoid sharing confidential personal information with public AI tools.

• Teachers should encourage students to think independently rather than depend completely on AI.

• Institutions should provide training on AI literacy, ethics, privacy, bias and responsible use.

• Teacher-education programmes should include opportunities for practical AI use as well as critical reflection.

7. Challenges and Limitations

Illustration: Key checks for responsible AI use.

The educational possibilities of AI do not remove the difficulties associated with its use in teacher education. The major challenges are practical, pedagogical, ethical, institutional and methodological. Recognising these limitations supports responsible adoption rather than rejection of technology.

Accuracy and reliability. AI can sometimes produce incorrect, incomplete or fabricated information. Important educational content must therefore be checked before use.

Academic integrity. Excessive or undisclosed AI use can make it difficult to assess a learner's independent understanding and authorship.

Privacy and data protection. Sensitive student, family or institutional information should not be entered into public AI systems.

Bias and representation. AI-generated content may contain bias, stereotypes or unsuitable examples and requires careful human review.

Over-dependence. Excessive reliance on AI may reduce independent thinking, creativity and professional judgement.

Digital divide. Access to devices, internet connectivity and paid AI tools may not be equal for all learners or student-teachers.

Copyright and attribution. Teachers and students need awareness of responsible use, authorship, citation and the status of AI-generated material.

8. Ethical / Equity Considerations

AI in teacher education is never only a technical matter. Teachers work with learners whose experiences differ by language, location, access, ability and socio-economic circumstances. If these differences are ignored, AI-supported education can widen existing inequalities.

Teachers also handle personal information, learner work and classroom records. A professional approach requires careful attention to privacy, consent, purpose and secure handling of information. AI-generated content should not be treated as automatically neutral or correct.

Generative AI raises an additional ethical question about authorship and accountability. Used carefully, it can help a teacher brainstorm examples, develop preliminary resources or explore alternative explanations. However, the teacher remains responsible for checking the content, adapting it to learners and making the final educational decision.

• Use AI for a clear educational purpose rather than for technology's sake.

• Protect confidential learner and institutional information.

• Check AI-generated content before sharing it with learners.

• Provide non-AI or low-technology alternatives where access is limited.

• Do not allow AI use to replace independent thinking, teacher feedback or human relationships.

9. Indian Context and Relevant Policies

The development of AI literacy among teachers should be considered alongside India's broader educational priorities. The National Education Policy 2020 places emphasis on conceptual understanding, critical thinking, creativity, communication, technology and responsible participation in education. In teacher education, these priorities create a strong rationale for preparing future teachers to understand emerging technologies critically and ethically.

9.1 NEP 2020 and Technology

NEP 2020 recognises the role of technology in education while also drawing attention to access and equity. For teacher education, this means that technology should support learning goals and professional development without becoming a source of exclusion.

9.2 AI Literacy for Teacher Education

AI literacy should include practical knowledge of prompting and tool use together with understanding of accuracy, bias, privacy, academic integrity and responsible use. Student-teachers should practise evaluating AI outputs rather than simply accepting them.

9.3 UNESCO AI Competency Perspective

UNESCO's AI competency resources for teachers and students provide an international reference for thinking about AI knowledge, ethics, pedagogy and professional responsibility. These ideas can inform teacher-education activities while being adapted to the Indian educational context.

AI literacy → Pedagogical use → Verification → Ethical judgement → Reflective professional practice

Figure 1. A practical pathway for developing responsible AI use in teacher education.

10. Examples / Case Studies

10.1 Case A: AI-Assisted Lesson Planning

A student-teacher can ask an AI tool to suggest objectives, activities and questions for a lesson. The student-teacher then compares the output with the curriculum, removes unsuitable suggestions, verifies factual information and adapts the plan to the learners. The learning outcome is not the AI-generated lesson itself; it is the student's ability to evaluate and improve it.

10.2 Case B: AI-Supported Differentiated Teaching

A teacher can use AI to generate alternative explanations, simpler language, additional practice and extension activities. The teacher must review the material for developmental appropriateness, accuracy and inclusivity before using it.

10.3 Case C: Comparing AI-Generated and Teacher-Designed Work

Student-teachers can create one lesson plan independently and another with AI assistance. They can compare the two versions, identify strengths and weaknesses, verify information and explain which changes were retained and why. This turns AI use into an exercise in critical thinking and professional judgement.

10.4 Case D: Multilingual Learning Resources

AI can provide preliminary explanations or learning materials in Indian languages. Such content should be reviewed carefully for accuracy, meaning, language quality and cultural appropriateness before classroom use.

10.5 Facts Snapshot

Source / programme	Relevance to this practical
UNESCO (2023)	Guidance on generative AI in education and research, with emphasis on responsible use.
UNESCO (2024)	AI Competency Framework for Teachers and AI Competency Framework for Students.
NEP 2020	Technology, critical thinking, creativity, communication and responsible educational practice.
Teacher-education practice	AI-supported planning, resources, differentiation, assessment, reflection and research with verification.

11. Creative Framework and Recommendations

Illustration: AI-SMART framework presented in the blog.

11.1 Creative Framework: AI-SMART

As an original practical framework for this M.Ed. blog, AI-SMART translates responsible AI use into six simple practices for student-teachers and teachers.

Letter	Practice required of the teacher
A – Assess the purpose	Use AI only when it supports a clear learning or professional goal.
I – Inspect the output	Check facts, examples, language, bias and suitability.
S – Safeguard data	Never share confidential learner or institutional information unnecessarily.
M – Make it your own	Adapt AI suggestions using professional knowledge, curriculum and learner needs.
A – Acknowledge assistance	Be transparent about substantial AI assistance when appropriate.
R–T – Reflect and Transfer	Reflect on what was learned and how responsible AI use can improve real classroom practice.

11.2 Recommendations

1. Teacher-education institutions should include AI literacy across pedagogy and subject-method courses rather than treating it only as a technical topic.

2. Student-teachers should be assessed through authentic products such as lesson plans, resources, demonstrations, portfolios and reflective writing.

3. Institutions should teach a clear 'verify before use' approach for AI-generated information.

4. Privacy, academic integrity, bias, copyright and responsible attribution should be part of practical AI training.

5. Assessment should include presentations, demonstrations, portfolios, classroom activities and viva voce where appropriate, so that independent understanding remains visible.

6. Teachers should be encouraged to compare AI suggestions with curriculum requirements and their own professional judgement.

7. Schools and teacher-education institutions should provide equitable alternatives for learners who have limited access to devices, connectivity or paid AI tools.

11.3 Mini Workshop Design

Student-teachers select one learning outcome, write a prompt for an AI tool, generate a preliminary resource, verify the output against a reliable source, modify it for their learners, teach a short micro-lesson and write a reflection explaining what the AI contributed and what required teacher judgement. This makes AI use a practical exercise in critical and ethical professional learning.

12. Conclusion

This practical examined the role of ChatGPT and other AI tools in teacher education. AI can support lesson planning, resource creation, assessment, differentiated teaching, research and professional development. However, meaningful AI use requires more than knowing how to operate a tool. It requires AI literacy, critical thinking, verification, ethical awareness and professional judgement.

The role of the teacher remains central. AI can provide suggestions and generate preliminary content, but teachers are responsible for deciding what is accurate, appropriate, inclusive and educationally useful. Teacher education should therefore prepare future teachers not simply to use AI, but to question it, adapt it and use it responsibly.

The goal should not be to replace teachers with technology. Instead, AI can function as a supportive assistant while human relationships, empathy, creativity, independent thinking and responsible decision-making remain at the heart of education.

13. References

UNESCO. (2023). Guidance for Generative AI in Education and Research. Paris: UNESCO.

UNESCO. (2024). AI Competency Framework for Teachers. Paris: UNESCO.

UNESCO. (2024). AI Competency Framework for Students. Paris: UNESCO.

Ministry of Education, Government of India. (2020). National Education Policy 2020.

Mishra, P., & Koehler, M. J. (2006). Technological Pedagogical Content Knowledge: A framework for teacher knowledge. Teachers College Record, 108(6), 1017–1054.

Anuprati96 Blog. (2026). Role of Technology in Developing 21st Century Skills. Structure and presentation consulted through the screenshots provided for this practical.