CONCEPTS
The discrete entities being taught.
Your curriculum.
A clearer path for every learner.
ChatOMT brings AI conversations, collaborative learning, and targeted practice together around your institution’s curriculum—using evidence from each learner to guide what comes next.

Knowing an answer was wrong is only the beginning. Useful support connects what needs attention, where it was taught, and what the learner should do next.
A fact to recall, a relationship to clarify, or a concept to apply. Different learning needs call for different kinds of support.
The relevant concept, lecture, and explanation in the student’s own curriculum—so review has a clear starting point.
A focused review, a comparison of related concepts, or targeted practice that helps the learner apply what they know.
Each student assessment adds evidence.
Remediation targets constantly evolve as evidence changes.
It starts with what the student was actually taught. Start with the curriculum
CURRICULUM AS THE REFERENCE
The institution's own material.
Concepts and mechanisms stay connected to the curriculum and the sources from which they were derived.

Start with the slides and videos you already use.
Key ideas are identified and pulled out.
Conceptual structures are highlighted and organized.
Concepts are linked to reveal how everything fits together.
EXPLICIT CURRICULUM GRAPH
The Didactome represents concepts and the relationships among them while retaining links back to their curricular sources.
Concepts.Relationships.Provenance.

The discrete entities being taught.
The mechanisms, distinctions, dependencies, and associations that connect them.
The curricular material supporting each extracted claim.
Mapping is only the beginning.
CURRICULUM-ALIGNED ASSESSMENT
Mapping exam and practice questions to the Didactome ensures alignment with the curriculum. It helps educators identify gaps, catch potentially mis-keyed questions, and optimize learning outcomes.
ASSESSMENT MAPPING AUDIT
EXAMPLE CONTENT / RENAL TUBULAR ACIDOSISHIGH CONFIDENCE
QUESTION STEM
SINGLE SELECTIONRECOGNIZE
Identify metabolic acidosis as the abnormality the intervention must address.INTEGRATE
Match the two stated effects: correcting acidosis and increasing urinary citrate.CONCLUDE
Select alkali therapy, especially potassium citrate when appropriate.SCOPE Alignment only. Difficulty, discrimination, reliability, and other psychometric properties are evaluated separately.
ASSESSMENT RESPONSE ANALYSIS
EVIDENTIARY SUPPORT
User metrics from the exam software provide insight into the learner's thought process.
WHAT HAPPENED
The final selected answer matches a competing mechanism.
WHAT TO DISTINGUISH
Connect the relevant clinical clues to the mechanism that separates the competing concepts.
RESPONSE ANALYSIS
FORMATIVE / SINGLE SELECTIONQUESTION STEM
Impaired hydrogen ion secretion by alpha-intercalated cells
Correct answerReduced proximal bicarbonate reabsorption
Your selectionDecreased aldosterone production
Increased proximal ammonium generation
Impaired collecting-duct water permeability
Increased distal sodium delivery
WHAT HAPPENED
You selected Reduced proximal bicarbonate reabsorption. Your response history also included a change toward the correct option, which suggests meaningful partial knowledge even though the final answer was incorrect.
KEY DISCRIMINATOR
Prioritize Urine pH is 6.3 and recurrent nephrolithiasis. Together, these findings distinguish Alkaline Urine in Type 1 RTA from the subtype represented by Reduced Bicarbonate Threshold in Type 2 RTA.
WHAT TO DISTINGUISH
The best explanation is Defective distal hydrogen secretion in the Collecting duct. The selected answer instead matched the competing subtype pattern. This was a narrow subtype-discrimination error rather than evidence of a broad gap.
The goal is not simply to mark an answer wrong. It is to identify the educational distinction worth revisiting.
LONGITUDINAL LEARNER SUPPORT
Each assessment contributes evidence to an ongoing learner model. New data can refine — or contradict — earlier interpretations of the student's understanding. All assessments are longitudinally integrated to inform future learning decisions.
Assessment data is captured from ChatOMT and your school's exam software.
New evidence is integrated with the existing learner model as it arrives.
Recommend the next best action for the learner.
Retain the reason and relevant curriculum-graph references.
Evidence informs an interpretation and yields a continuous, personalized learning loop.
SCOPED EXPLORATION AND PROVENANCE
Select a concept.Inspect its support.
Explanations remain connected to the curricular material from which the relevant claims were derived.
In acidosis, Type 1 distal renal tubular acidosis has urine pH greater than 5.5.

Confidence labels are model estimates, not independently measured accuracy.
CHATOMT
Ask.Discuss.Practice.
The same curricular context that supports analysis can support conversation, explanation, and targeted practice.

INSPECTABLE REASONING
Different layers provide different kinds of assurance.
The curricular material supporting an explanation.
The concepts and relationships under discussion.
An interpretation of the response and a proposed intervention.
An execution trace for supported formal rules.
Source support, inferred explanations, and symbolic checks provide different assurances.
INSTITUTIONAL GOVERNANCE
Institutional policy sets the boundaries for educational AI.
Support remains formative.
Educators retain responsibility for consequential
decisions.
Institutions define who can see curriculum, learner evidence, and conversations.
Expose source support, interpretation, and uncertainty.
Help learners understand why an action is recommended.
Align deployment and model choices with institutional requirements.
AI should extend educational judgment.
FACULTY-LED EVALUATION
ChatOMT is designed so that its educational claims can be examined and validated.
Expert review of relationships and source support.
Educator agreement, false positives, and learner corrections.
New-item performance, delayed retention, and transfer.
Planning burden, faculty effort, and performance across groups.
WORK WITH CHATOMT
ChatOMT is a working platform for institutions that want a curriculum-aware, AI-native Learning Management System (LMS). Our core mission is to bolster medical education with innovative software.