One place for the learning journey
Learning can leave a trail across conversations, assignments, files and reports. CarolAnn is being designed to bring those pieces together: a place to see what a student is working on, the evidence they have submitted, the feedback they have received and what comes next.
The goal is a simple workspace for students, with contextual review tools for the adults guiding their education. Course planning, assessment, progress reporting, graduation planning and transfer review are part of the planned experience.
A subject workspace that stays together
Each student is intended to have one persistent timeline per subject or course. Conversation, assignments, submissions and published feedback would appear together, while the underlying academic records remain distinct and traceable.
- Submit work and evidence: text, files, photos and links connected to the relevant course or assignment.
- See feedback and next steps: published assessments, revision requests and follow-up actions in the same learning timeline.
- Keep course files connected: documents linked to their source, owner, version and review status.
- Ask for course-related help: AI assistance limited to the student’s authorized course context.
Students and adults share the context
Parents, instructors and assigned teachers would review the same course timeline, with appropriate tools for assignments, rubrics, feedback, grades, curriculum review and reports. Private staff notes would remain separate from information published to the student.
Assigned counselors would have a progress view and review queues for graduation gaps, proposed courses, outside learning and transfer decisions. What each person can see or approve is intended to depend on their active student relationships, assignments and permissions.
AI helps prepare. People decide.
Planned AI assistance includes review summaries, report drafts, rubrics, course designs and proposed connections between learning evidence and course requirements. Drafts would remain linked to their supporting records and would require review before becoming approved records.
AI would not choose or change a student’s grade, award credit, approve a course or determine diploma eligibility. Consequential academic decisions would stay with the person authorized for the student’s learning pathway.
Planning that respects the learning pathway
The specification distinguishes independent home-based learning from public or program-supervised learning. Approval authority and record status would follow the applicable pathway and explicit assignments.
Weekly-contact and monthly-report tools are planned as optional capabilities for eligible, enabled programs. Independent home-learning families would not inherit those program obligations simply by using CarolAnn. Graduation planning could also be offered as an unofficial family planning view.
Washington is the first jurisdiction targeted by the specification. The planned graduation view would distinguish completed, in-progress, planned and still-needed requirements, with clear labels for planning estimates and institution-confirmed records.
Keep the history when learning moves
Planned transfer tools would preserve original source records and keep proposed equivalencies separate from accepted decisions. Export packages are intended to remain independently readable, helping a student carry their academic history to another setting without losing its provenance or approval context.
Privacy built into the plan
The design calls for access scoped to the relevant student and record. An ordinary parent, teacher, counselor or administrator role would not automatically reveal every student. AI would receive only the minimum context authorized for its task, rather than unrestricted access to records or files.
These are design requirements, not claims about a deployed service. Application security, identity, storage and production environments still need to be implemented and validated.
Where the project stands
CarolAnn is currently a documentation and foundation project governed by the version 0.5 master specification. The planned sequence begins with identity and core records, then a course workspace that works without AI, followed by controlled AI assistance, graduation planning, transfer tools and operational hardening.
There is no working application or download available yet. CarolAnn is intended to support recordkeeping and decision-making; it would not itself confer credits, issue official transcripts or replace an authorized academic decision-maker.