教員におすすめのAIツール：学びを深める5選

Key takeaways

• Choose a specific teaching task first. Audio creation, language practice, and assessment support require different tools.
• Keep teachers in control. Review generated content, check accessibility, and make final grading decisions yourself.
• Check privacy and availability before committing. Confirm school approval, student eligibility, and the features included in your plan.

The best AI tools for teachers are not necessarily the ones with the most features. They are the ones that solve a recurring problem without adding more checking, administration, or risk.

This shortlist covers five different education workflows, from creating lesson narration to exploring learning data. Some options are suitable for individual teachers; others belong in university departments or institution-led projects. Start with one low-risk task and judge the result against your usual approach.

Our picks

[Murf.ai](/tools/murf-ai)

Best for: Creating narration for lessons and presentations.

Murf.ai is an AI voiceover tool that can turn written scripts into spoken audio. For a teacher preparing recorded explanations or e-learning materials, it offers an alternative to recording every passage manually.

A practical starting point is a short explanation of a difficult concept. Write and fact-check the script yourself, generate the narration, then pair it with slides and a written transcript.

One strength: You can revise the script and generate updated narration without arranging another recording session. That can be useful when teaching materials change regularly.

One thing to watch: Natural-sounding audio is not necessarily accurate audio. Listen for incorrect pronunciation of names, technical terms, and abbreviations. Also check usage rights and export limits before building a large resource library.

Use it to add another way to access a lesson, not to replace readable text or captions.

[Duolingo Max](/tools/duolingo-max)

Best for: Supplementary language conversation practice.

Duolingo Max adds AI-powered conversational experiences to language learning, including roleplay. It is most relevant when students need additional practice using a language outside teacher-led discussion.

For example, you could connect independent practice to a classroom topic such as ordering food or asking for directions. Ask students to reflect on useful phrases and misunderstandings afterward, rather than treating app completion as proof of mastery.

One strength: Simulated conversations give learners another opportunity to practise responding, especially when classroom speaking time is limited.

One thing to watch: Check which features are available for the relevant language, device, account, and location. Do not assume every student will have equal access or that the practice matches your curriculum.

Treat it as a supplement to instruction. Provide an equivalent activity for students who cannot or should not use it.

[Nuance Dragon](/tools/nuance-dragon)

Best for: Drafting teaching materials through dictation.

Nuance Dragon is associated with speech-recognition and dictation software. For teachers who prefer speaking to typing, it can support drafting lesson notes, instructions, or feedback.

Try it first with a non-sensitive task: dictate a lesson outline, then edit the text into a clear handout. This helps you judge whether speech input fits your working style before changing a larger workflow.

One strength: Dictation provides an alternative input method. It may be particularly useful for staff who find extended typing difficult or tiring.

One thing to watch: Dragon products differ in platform support, intended audience, and capabilities. Verify the specific product rather than assuming all versions work the same way. Proofread carefully, particularly where recognition errors could change meaning.

If accessibility is the main reason for considering it, involve your institution’s accessibility or IT team in the choice.

[Gradium](/tools/gradium)

Best for: Investigating grading and feedback assistance in higher education.

Our directory lists Gradium as an automated grading and feedback assistant for university professors. On that basis, it is a candidate to investigate when assessment feedback is a recurring workload challenge.

Before adopting it, confirm that the current product supports the grading workflow described, your assignment formats, and your institution’s requirements. Then evaluate it using synthetic or institution-approved sample work rather than uploading identifiable student submissions immediately.

One strength: Its stated focus is assessment and feedback, making it more directly relevant to that task than a general-purpose AI platform.

One thing to watch: AI-generated assessments can miss valid reasoning, misunderstand a rubric, or produce inconsistent judgments. A teacher should review proposed feedback and retain responsibility for grades.

Compare any output with your own marking. If correcting it takes as long as writing feedback yourself, it is not delivering a useful saving.

[Abacus AI](/tools/abacus-ai)

Best for: Institution-led predictive modelling projects.

Abacus AI is an end-to-end platform for applied deep learning and predictive models. It is not the simplest choice for everyday lesson preparation, but it may suit technically supported education projects.

For example, an institutional team could investigate patterns in approved learning data. That requires a clearly defined question, appropriate data permissions, and people who can evaluate model performance.

One strength: Its platform approach supports more ambitious modelling work than a single-purpose classroom tool.

One thing to watch: Predictions are not explanations, and historical education data can contain bias. Avoid treating model outputs as definitive judgments about a student’s ability, motivation, or future achievement.

For most individual teachers, this is a specialist option rather than a first purchase. Involve data, IT, and governance teams before proceeding.

How to choose

Start with the bottleneck. Identify one task that repeatedly takes time: recording narration, drafting materials, providing practice, or reviewing work. Choose the tool that addresses that task directly.

Check the total workload. Include setup, editing, verification, and student support—not just generation time. A polished output is not a saving if it needs extensive correction.

Review privacy before uploading anything. Check your school’s policy, data retention, deletion options, and whether submitted content may be used for model training. Do not enter identifiable student information without appropriate authorization.

Test access and inclusion. Confirm age requirements, device compatibility, accessibility, and costs. Students should not be disadvantaged because they cannot access a paid feature.

Run a small pilot. Use one lesson or a set of approved examples. Decide in advance what success means, then expand only if the tool genuinely helps.

FAQ

What is the best AI tool for a teacher starting out?

Choose a narrow, low-risk task. Murf.ai may suit lesson narration, while Nuance Dragon may suit dictation. Neither is automatically the best choice for everyone: begin with the workflow you most want to improve.

Can AI tools grade student work fairly?

Do not assume they can. Test outputs against your rubric and teacher-reviewed examples, including unusual but valid answers. Check consistency and possible bias. Follow institutional policy and keep a human responsible for consequential assessment decisions.

Do students need their own AI accounts?

Not always. Teacher-facing tasks, such as preparing narration or drafting instructions, can happen without student accounts. For direct student use, check age restrictions, consent requirements, school approval, and access costs. Always provide a workable alternative.