LO
Education and teacher training
Trains you to take something you understand and get it into someone else's head — by working out what they already believe, where they will go wrong, and what evidence would show they have it.
A single number for a whole major would hide the thing that matters: this degree trains several separate competencies, and they are not all moving in the same direction. Automation acts on tasks, so any assessment lives on the occupation pages below — not here.
Written for undergraduate education and teacher-training programmes in mainland China and Singapore, including subject-specific teaching tracks. Early-childhood, special education and educational-technology programmes diverge and are not covered by this assessment.
What this degree actually trains#
Not the course list — the competencies underneath it, and whether each one is worth more or less than it was.
Working out what someone has actually misunderstood
Worth more than beforeLooking at a wrong answer and telling which wrong model produced it — not marking it wrong, but knowing which of four plausible confusions this particular student is carrying.
A model can generate an explanation instantly and can grade against a rubric, but it does not sit with one child and notice that the arithmetic is fine and the reading of the question is not. That diagnosis comes from watching a specific person work, and it is the part of teaching that generative tools have made more valuable rather than less, because explanations are now free and the scarce thing is knowing which explanation this person needs.
Holding a room of people who did not choose to be there
Worth more than beforeKeeping thirty people who would rather be elsewhere engaged enough to learn, and handling the moment when one of them decides to test whether you mean it.
This is the part of the job that has no software substitute and that outsiders consistently underestimate. It is also the main reason people leave the profession, which means it is the capability that decides whether the rest of the degree ever gets used.
Designing an assessment that measures the thing
Worth more than beforeBuilding a task where doing well requires the understanding you care about, and where it is visible whether the work is the student's.
Every take-home assessment written before 2023 now has a free way around it, and every school has discovered this at once. Rewriting assessment so that it still measures something is live, unglamorous work that has to be done by someone who knows the subject and the students, and it is currently one of the clearest places a new teacher can be immediately useful.
Preparing the lesson material
Worth less on its ownProducing the slides, worksheets, exercise sets and marking schemes that a lesson runs on.
Drafting these is the task generative tools do most convincingly, and it is a large share of the unpaid evening hours the job has always carried. The judgement about whether a worksheet suits this class is not automated; the typing of it substantially is, and treating the typing as the skill is the mistake to avoid.
Explaining a child's situation to an adult who is worried
HoldingTelling a parent something they do not want to hear, in a way that leaves them able to act on it and still willing to talk to you next term.
Neither newly scarce nor displaced: it was always the part of the job least visible from outside, and nothing about automation has changed who has to sit in that conversation.
Where it can lead#
Several directions, never one. Each says what your training reuses, what graduates typically lack, the real entry conditions, and one thing you can test this term.
Classroom teaching
task-level analysis →- What transfers
- All of it, and this is the only path where holding a room is the daily requirement rather than an occasional one.
- What graduates typically lack
- Graduates generally arrive fluent in how a lesson should go and short of practice in what to do when it does not — and with little experience of the administrative load, which is the part most often cited by those who leave.
- Entry reality
- A teaching licence and practicum hours are the gate in both markets covered here, and the subject you are certified in matters more than the institution. The realistic constraint is which city and which school you can get into, not whether the profession admits you.
Tutor one student for six weeks and keep every wrong answer they give you. At the end, sort them into the confusions behind them. If you cannot sort them, that is the capability to build, and it is the one the job turns on.
Learning and development inside a company
task-level analysis →- What transfers
- Assessment design and diagnosis, applied to adults: working out what a team cannot currently do, and building something that shows whether they can do it afterwards.
- What graduates typically lack
- Graduates usually have no exposure to the budget conversation — training inside a company competes with other spending and has to be argued for in the terms the finance function uses.
- Entry reality
- Usually entered through an HR generalist role first rather than directly. A teaching background is a real advantage here and is often undersold by the people who have it.
Teach one skill to three adults who need it for something — a spreadsheet function to a society treasurer, say — and design a task that shows whether they can still do it a fortnight later.
Leading a teaching team
task-level analysis →- What transfers
- The diagnosis skill, turned on colleagues rather than students, plus the habit of being answerable for outcomes produced by other people.
- What graduates typically lack
- Graduates have generally never had to give a peer feedback that the peer did not ask for, which is the daily substance of this role rather than an occasional difficulty.
- Entry reality
- Reached after several years in the classroom, not from the degree. Worth knowing early because it changes what you should collect evidence of from your first year onward.
Observe another student teacher's lesson and write the feedback you would actually give them. Then give it. The gap between the draft and what you said out loud is the thing to work on.
Educational content and curriculum materials
task-level analysis →- What transfers
- Knowing what a learner will get wrong, which is what separates material that works from material that reads well.
- What graduates typically lack
- Graduates entering this path should know that drafting is the task most exposed to generative tools on this whole page; the defensible version of this work is the part where you have watched real students fail at the draft.
- Entry reality
- Accessible without a teaching licence, and often paid per piece rather than salaried at the entry level. Read the copywriter page on this site before committing — its assessment applies here more than the teaching one does.
Write one worksheet, watch three people actually attempt it without your help, and rewrite it based only on where they stopped. Keep both versions.
What to add outside the classroom#
This is about what graduates commonly lack in practice — not a claim that your school failed to teach it.
Hours in front of real students, as early and as often as possible. Everything else on this list is a distant second, because this is the capability that decides whether you stay — and it is the one no coursework can simulate.
A worked view of what generative tools do to your subject specifically. Not a general opinion about AI in education — the concrete answer to what happens when a student in your subject has one, which differs enormously between mathematics and composition.
Some familiarity with what your education system actually requires of teachers on this subject, since several markets now mandate AI-related teaching content and that lands on you as work rather than as a policy document.
This term#
One or two actions, each producing something you can show someone. Not a reading list.
Take a homework task from your own school years, give it to a model, and look at the output. Then rewrite the task so that the same model's answer would no longer earn full marks. That rewrite is the single most transferable thing you can practise this term, and schools are currently short of people who can do it.
Ask a teacher who has been in a classroom for more than five years what share of their week is administrative rather than teaching. Their number is the one to plan around, and it is rarely the one prospective teachers assume.
Common questions#
Not on the strength of a score, because this site will not give one to a degree. The relevant evidence is narrower and more useful: on the teaching page here, the task that is clearly automating is drafting lesson material, while diagnosing what a student has misunderstood and holding a class are assessed as human-led. If those are the parts you want to spend a career on, the degree still leads there. If what appealed to you was preparing beautiful materials, that is the part under most pressure, and it is worth knowing now.
The records on this site point the other way, and in a specific direction rather than a reassuring one. China's education ministry issued guidance in 2025 requiring AI general education across primary and secondary schools and assigning teachers a strengthened guidance role — that is policy adding a duty to the job, not removing the job. A New York district's attempt to bring in a humanoid teaching robot was paused after objections from the state, the union and parents, and what stopped it was procurement and student-data agreements rather than the technology. Both records are on this site with their sources.
Rewriting assessment so it still measures something is currently among the most useful things a new teacher can be good at, and most schools are doing it in a hurry. The practical move is to shift what is graded toward work you can see happening — in class, out loud, or in a form where the reasoning has to be shown rather than the answer produced. That is not a policing strategy; it is a design one, and it is a skill you can start practising before you have a class of your own.
That framing does not survive contact with the evidence, and the honest answer is that the risk in this profession has never mainly been automation. People leave teaching over workload, behaviour and pay far more than over technology, and nothing on this site changes that. What the evidence does say is narrower: one part of the week — drafting material — is being taken over, and one part — the policy duty to teach AI content — is being added.
Real hours with real students, and a clear sense of which age group and which subject you can sustain — this profession's binding constraint is attrition, and the people who last usually found that out early. Beyond that: one assessment you redesigned so a model could not simply produce the answer, kept with both versions. It demonstrates subject knowledge, an understanding of how students actually work, and that you have engaged with the thing every school is currently worried about.
Method#
Assessments live on tasks, not on majors. Follow any direction above to its occupation page to see which tasks are changing, how strong the evidence is, and what it does not yet show.