South Africa has the curriculum. In a written reply to the National Council of Provinces in September 2025, the Department of Basic Education set out plainly what stands in the way of digital-skills delivery: the cost of educator development and training, and of information technology infrastructure equipment and related maintenance.
The same reply confirmed that the Department is infusing digital literacy and AI-related content into existing subjects — naming Computer Applications Technology among them — and that it is exploring pathways for AI and Data Science concepts in the Further Education and Training phase, Grades 10 to 12.
That is where the CAT and IT Mentor sits: the subjects that already exist, the phase already under review, and the constraint the Department itself named — teacher capacity.
Built around the CAPS content areas for both subjects and the Grade 12 exam structure.
Word processing, spreadsheets, databases and HTML, alongside systems, network and internet technologies, information management and social implications — with the Paper 1 practical and Paper 2 theory weightings built in.
Programming in Delphi or Java — algorithms, arrays, strings, objects and file handling — plus database design to third normal form, SQL, systems technologies and communication technologies.
Questions in CAPS formats with mark allocations, model answers after the learner has attempted, and the exam command words used the way a marker uses them. Every quiz includes reasoning questions — predict the output, find the error, justify the choice — not only recall. Learners tap their answer or say the letter.
Phones, tablets, laptops, desktops and lab thin clients, in the browser they already have. Learners join a lesson with the class code or the QR code on the teacher’s screen, add it to their home screen, and use a data saver on their own data. Nothing to install on school machines.
Speak a question and hear the answer, replay it at your own speed, and download a transcript. Larger text, high contrast, easier-reading spacing and plain language. Works by keyboard alone and with screen readers, and every sound has a visual cue — for learners who are blind, Deaf or hard of hearing, or have a physical or learning disability.
Guest mode needs no email address. The Mentor sends the AI no learner name, email or ID number, and its pages load no third-party scripts. Marketing consent is optional and never a condition of registering. A learner can sign out and clear a shared device completely.
An AI that hands learners answers teaches them to stop thinking. Learners must still understand, explain, verify and own their work — in CAT, real problem-solving and data reasoning; in IT, algorithms, debugging, testing and reading code, even when AI writes it.
The Mentor asks what the learner has already tried before working through a full answer, and explains why — this function, this loop, this data type — so the method carries to the next question.
After it gives a formula or code, the Mentor asks the learner to explain one part in their own words, or to predict an output before running it. Understanding is something the learner shows, not something assumed.
A challenge the learner can start at any time: an AI answer with one mistake hidden in it — a wrong formula, an off-by-one loop, an invented source. Finding it, and saying how you would have caught it, is the habit being taught.
It will not produce a finished PAT or marked assignment. It coaches the method, reviews what the learner has written, and says when it is unsure rather than inventing a source.
The Mentor does not replace a teacher; it gives every teacher the same support, so that every school can reach the same outcome. Shown in the Try it now demo: open it as a teacher.
Each lesson pack has one objective, the key words, the common misconceptions, a minute-by-minute plan in which the teacher leads, and one exit ticket answered without AI — the same wherever it is taught.
Start the lesson, pause the Mentor for the whole class — “eyes on me” — and tell it how you teach: your method, your terms, Delphi or Java. The Mentor follows your note and never contradicts you.
Learners can ask for the teacher, and the Mentor calls the teacher over itself when a learner is stuck twice, goes beyond the lesson, or says something that suggests they need help. It never carries on alone.
The misconceptions the class is showing, most common first, and the exit-ticket results — so the last ten minutes of the lesson go where they are needed.
Assessment has to tell real understanding apart from AI-assisted shortcuts. Shown in the Try it now demo.
The teacher sets how much AI each PAT allows — none, explain only, or assisted and declared — and the Mentor enforces it. Learners record how they planned, checked and changed their work; every question asked about the PAT is logged; and a Process and AI-use declaration prints for moderation.
A learner sees their own growth; a teacher sees their class and where an authenticity conversation may help; an HOD sees the school; a district sees schools only — never a learner. Small groups are withheld, and “not measured” is never shown as zero.
One Mentor session per learner per lesson, run as a short quest that ends in a calm wrap-up. Points go to explaining back and finding the AI’s mistake, not to copying answers. No classmate rankings, no random rewards, no timers — and a missed lesson never breaks a streak.
The learners are children. If a feature cannot be made safe and lawful, it is not built.
Only the information the learning needs, a clear lawful basis for each use, and AOLC acting for the school or education authority under a written agreement.
The Mentor never counsels a child. Any sign of distress or risk goes straight to the teacher, who follows the school’s own safeguarding procedure.
Learner information is never sold, never used for marketing, and never used to build unrelated products. No manipulative design.
The Mentor is a learning layer. It never replaces, or competes with, the education authority’s own records of results.
The direction for the wider platform is designed around the learner rather than a single school: learning from school, home, a library or a community centre, on whatever device is to hand, and — where the education authorities agree and the law allows — an authorised learning record that follows a learner who changes school or province, so nobody has to start again.
It also opens the way for scarce specialist teachers to support learners across many schools, with the local teacher facilitating.
This is the design direction, not a feature available today. Any record that follows a learner between schools will be built with the education authorities, under POPIA and with the approvals it requires.
The Mentor is the first working module of the AOLC Digital School Lab. The rest is in development.
Coding, Robotics and Digital Concepts activities for the Senior Phase, mapped to the published Coding and Robotics curriculum, producing evidence of learning a teacher can actually use.
Check the AI is live in the Mentor: an AI answer with one hidden mistake to find. A fuller set of scenarios — a wrong calculation, an invented source, an unsupported claim — is in development for every phase.
A structured view of where a school actually stands on connectivity, devices, infrastructure, cybersecurity, support and teacher readiness — and what to fix first.
Good digital education needs more than devices. It needs curriculum, learning design, connectivity, infrastructure, security, support, teacher enablement and measurement — working together. That is the layer AOLC builds and maintains.
Computer Applications Technology (CAT) and Information Technology (IT), Grades 10 to 12, built around the CAPS content areas for both subjects and the Grade 12 Paper 1 and Paper 2 structures.
No. It works inside the teacher’s lesson. The teacher chooses the lesson, can pause the Mentor for the whole class, and tells it how to teach their class. The Mentor calls the teacher over when a learner is stuck, goes beyond the lesson, or says something that suggests they need help. It never gives a learner a mark.
It is built not to work that way. It asks what the learner has tried, explains the reasoning, asks the learner to explain it back in their own words, and asks them to check AI output rather than accept it. It will not complete assessed work such as a PAT, and it says when it is unsure rather than inventing a mark allocation or a source.
No. The CAT and IT Mentor is an independent educational technology tool developed by AOLC. It is built around published CAPS curriculum material, but it is not a Department of Basic Education product and carries no departmental endorsement.
Any modern browser on a phone, tablet, laptop, desktop or lab thin client. Learners can join a lesson on their own device with the class code or QR code, add the Mentor to their home screen, and use a data saver on their own data. Nothing is installed on school machines.
Child safety comes first. There is no advertising and no sale of learner data. The Mentor never counsels a child: it hands any concern to the teacher. Classmates are never ranked, and small groups are never reported above the classroom. Guest mode needs no email address, and a learner can sign out and clear a shared device completely.
Accounts and school details sit on AOLC infrastructure. Questions typed into the Mentor are processed by an international AI provider, which under POPIA is a transborder flow of personal information; the Mentor itself sends the AI no learner name, email address or ID number. If a learner speaks a question, their browser’s own speech service turns it into text. AOLC offers a South African hosted AI option where processing must remain in the country.
No. Try it now opens the Mentor as a guest learner or a guest teacher, with a demonstration class, and needs no email address. A school registers for real accounts, and its teachers receive a join code for their learners.
Tell us about your school and we will come back to you.
The AOLC CAT and IT Mentor is an independent educational technology tool developed by AOLC (Pty) Ltd. Content is built around published Department of Basic Education curriculum material for Computer Applications Technology and Information Technology. It is not a Department of Basic Education product and carries no departmental endorsement.