Stage: All · Language: English · Format: Workshop pre-read
This is the pre-read for Ishkol × Master Ji’s AI teaching tools workshop. Read it before the workshop so you arrive ready to try things, ask questions and share ideas.
1. What is AI in education?
Artificial intelligence refers to computer systems that do tasks which usually need human intelligence — understanding language, recognising images, solving problems. In education, AI can help personalise learning, automate routine tasks, generate content and give quick feedback.
2. From chalkboards to AI
Teaching has moved from oral traditions to printed books, blackboards, radio, computers and online courses. Today, large language models and other AI tools have entered classrooms, opening new ways to learn, assess and organise teaching.
3. Why it matters
- Personalisation: learning can be adjusted to each student’s level and interests in ways that were hard to do at scale.
- Efficiency: routine paperwork takes less time, leaving more time for teaching.
- New competencies: critical thinking, ethical reasoning, collaboration and digital literacy become even more important.
- Equity: used wisely, AI can reduce gaps; used carelessly, it can widen them if access and training are unequal.
4. Principles for integrating AI
- Human-centred: AI supports the teacher’s judgement; it does not replace it.
- Evidence-based: prefer tools that fit good teaching practice and show real learning benefits; pilot before scaling up.
- Transparent and ethical: watch for bias, protect student data and teach students to use AI honestly.
- Keep learning: tools change quickly — keep experimenting and reflecting on what helps your students.
5. Practical tools
- Lesson planning: AI assistants to draft lesson outlines, activities and quizzes.
- Assessment and feedback: tools that mark quizzes or suggest differentiated questions.
- Content creation: tools for presentations, visuals, videos and reading passages.
- Personalisation: adaptive platforms that recommend practice at each student’s pace.
6. The teacher’s new role
- Designing prompts and reviewing AI-generated material.
- Guiding how students use AI and noticing misuse or over-reliance.
- Being the critical guide who encourages creativity and judgement.
7. Challenges to address
- Equity: make sure every student can access what you use.
- Transparency: understand how a tool grades or recommends.
- Bias and privacy: review outputs for fairness and protect personal data.
- Feedback loops: collect student and teacher feedback and adjust.
8. Skills students will need
- Communicating clearly with AI (prompting)
- Knowing when to trust an AI answer and when to challenge it
- Using AI as a team-mate, not a replacement
- Empathy, ethics and original thought — which remain human strengths
AI in education is not just about new technology — it is about increasing your impact as a teacher. We look forward to your active participation!