AI in Education.
Tools for Schools and Universities.
Curriculum development, differentiated materials, student support, and institutional reporting - with student data processed entirely on your institution's hardware.
The reality
Educational institutions handle large volumes of student data - grades, behavioural records, support needs, and contact information. Most jurisdictions have specific laws governing how this data can be processed and by whom. Using commercial cloud AI tools often falls into a grey area that legal and data protection teams are still working through.
Teachers and faculty also face mounting documentation demands: curriculum frameworks, assessment rubrics, accreditation reports, and student progress documentation. The administrative load squeezes the time available for the actual work of teaching and research.
How Skales helps educational institutions
From curriculum design to student support - local AI that keeps data on-premises.
Curriculum development
Build unit plans, learning outcomes, and assessment rubrics faster. Describe the course level, subject, and objectives - Skales drafts the framework. Faculty review and refine. Student-facing materials done in hours, not days.
Differentiated learning materials
Adapt content for different learning needs within the same cohort. Rewrite explanations at three reading levels, generate extension tasks for advanced learners, and create simplified versions for students who need support.
Academic report generation
Draft department reports, accreditation documentation, and program review narratives from structured data and notes. Consistent format, professional tone, and a first draft ready for committee review.
Student support communication
Draft at-risk student outreach emails, academic support referrals, and pastoral care communications. Templates ensure consistency; Skales personalises each message from brief notes about the student situation.
Research and academic writing support
For faculty and postgraduate researchers: literature synthesis, grant proposal drafting, and manuscript editing. All processed locally - keeping unpublished research, proprietary data, and participant information off external servers.
FERPA and GDPR compliant by design
Student educational records are subject to FERPA in the US and GDPR in Europe. Because Skales processes data locally, there is no third-party data processor to disclose to students or negotiate agreements with.
Example: Course redesign sprint
You ask: "Design a 12-week undergraduate module on digital ethics. Include weekly learning outcomes, reading list structure, one formative and one summative assessment."
Skales: A complete module framework: week-by-week outcomes, assessment descriptions with weighting, and a suggested reading structure.
You ask: "I need to write a 500-word pastoral outreach email to a student who missed 4 consecutive sessions. Concerned but non-threatening tone."
Skales: A warm, professionally worded message that expresses concern, offers support pathways, and invites a conversation without pressure.
You ask: "Summarise this 80-page department self-evaluation report into a 2-page executive summary for the accreditation panel."
Skales: A focused executive summary with key findings, strengths, areas for development, and recommended actions.
“Our data protection officer approved it on the first read. That alone made it worth it.”
Free for personal use. Windows and macOS. No account required.
Also see: AI for Teachers · AI for Researchers · Download