AI Tutors and Self-Study: Why Human Teachers Matter

Self-paced learning asks a lot of a child's self-discipline: choose what to study, start without prompting, keep going when it becomes difficult and recognise when help is needed. AI tutors can offer explanations and practice, but access alone does not ensure that learning happens. A human teacher adds accountability, encouragement and attention to gaps the student may not know to ask about. Working with the parent and student, the teacher can help turn available learning tools into a routine the child can sustain.

Self-study needs discipline, and gaps can go unnoticed

A child may know that algebra feels difficult without knowing which earlier idea is missing. If they choose only familiar questions, avoid an uncomfortable topic or follow a worked solution without understanding it, an important gap can remain out of sight. They cannot ask for an explanation of a misunderstanding they have not recognised.

A teacher who reviews the working and asks the student to explain a step has another way to find that gap. Regular lessons also create a point to return to unfinished work. The student has someone who will ask how it went, listen to what happened and help with the next attempt.

What AI tutors and self-paced study can offer

A recorded lesson lets a student pause and replay an explanation. An adaptive practice tool can select questions at a suitable level. An AI tutor can respond to questions and offer another way to approach a method. These are useful options for a student who wants extra practice or more time with an unfamiliar idea.

There is evidence that carefully designed AI teaching can help. A 2025 randomised study by Kestin and colleagues compared a structured AI tutor with active classroom teaching across two physics lessons; the analysis included 194 Harvard undergraduates. Students using the AI tutor achieved better immediate test results while spending less time learning.

That study tested a particular teaching design with university students. It does not establish that any chatbot can replace a school teacher, or tell us how a child will learn over a school year. It does give parents a reason to take well-designed self-paced learning seriously.

Why the relationship with a teacher matters

In an interview with Arsh Goyal at Google's AI for Learning Forum, Google DeepMind research director Irina Jurenka describes a practical difference. Human tutoring involves trust and a social commitment to engage with the teacher's questions. With AI, a frustrated learner can simply “close the tab and walk away”.

Jurenka's point concerns motivation: access to an explanation and willingness to work through it are separate needs.

A teacher can learn that a student becomes quiet when fractions appear, ask what feels difficult and return to an earlier idea. Over successive lessons, the teacher can recognise a better attempt and explain what improved. Encouragement becomes specific: the student has a reason to believe they can make progress because someone has helped them see it.

For a child who has started saying “I'm bad at maths”, having someone who believes they can improve can help them return to difficult work. A continuing relationship with a teacher brings shared experience, expectations and a person to talk to when the work feels discouraging.

Accountability should mean supportive follow-through. It gives the student a chance to explain a difficulty, agree on what to try next and return to it together. It should leave room for questions and mistakes.

The social and emotional side of learning

Learning also involves recognising frustration, asking for help, listening to another person's reasoning and responding to a mistake. These sit within the wider idea of social and emotional learning. CASEL's framework includes managing emotions, building supportive relationships and making responsible decisions.

A live teacher can make space to practise these skills during academic work: invite a hesitant student to explain an idea, model a calm response to an error, or help classmates discuss different methods respectfully. A child gets to experience someone taking their thinking seriously, including when their answer is wrong.

Human attention, supported by technology

Think of contacting customer service. An automated reply can settle a routine question. When the problem keeps coming back and the replies keep circling, being heard by a person who understands the context and follows through becomes valuable. Teaching has a similar human need: someone who pays attention to this student's difficulty and takes responsibility for helping them work through it.

As AI makes explanations more readily available, DeepThink's view is that informed human attention becomes the premium part of the offer. That means a teacher who knows the student, with technology helping them understand the work. Adaptive practice and rapid feedback can give that attention more information to work with.

Check what your child can do without help

A completed practice page can conceal how much help was needed. This applies to worked solutions, adult help and AI alike.

In a 2025 high-school maths study by Bastani and colleagues, nearly 1,000 students in Turkey used either a standard GPT-4 chat tool, a version with teacher-designed hints and safeguards, or no AI. The standard tool improved assisted practice performance, but students later scored 17% lower than the control group on an unaided test. The safeguarded version largely avoided that harm, but showed no clear improvement on unaided tests over the control group. These were short-term results from one school.

The finding makes tool design and independent work worth checking. After your child uses a lesson or tool, choose a similar question and let them try it without the explanation open. Invite them to explain the first step. Return to the idea another day to see what they remember. One difficult attempt is a reason to discuss what help is needed.

Our guide to a weekly maths revision routine explains how to make practice and revisiting earlier work manageable.

When to add teaching alongside self-study

Look at a pattern across several pieces of work, and discuss it with your child. Use their attempts and explanations to decide what support to try.

The aim is to help the child become more independent. The amount of teaching they need can change as their understanding and confidence grow.

How DeepThink connects teaching and independent practice

DeepThink combines live online maths tuition led by our tutors, in classes capped at 4, with our own practice platform between lessons. The same teacher gets to know the students over time and reviews their practice before class. Lessons take place on Zoom, where the teacher explains ideas, works through questions and responds to students.

Between classes, students get teacher-set homework and adaptive practice, instant marking, worked solutions, spaced review and a topic map showing strengths and gaps. Students can practise at their own pace, and our teachers use their work to understand where more teaching would help. The technology supports independent study and equips the teacher to respond to each student's needs.

We work with the parent, student and teacher together. The student attempts the work and brings questions; our tutors review it, teach and follow through; parents can follow progress through the student's account and share concerns with our team. Seeing the work gives those conversations a clearer starting point. The aim is to help the child build understanding, confidence and increasing independence with support around them.

See how our live online maths classes work, or talk to us about the support your child needs.