> ## Documentation Index > Fetch the complete documentation index at: https://docs.learningcommons.org/llms.txt > Use this file to discover all available pages before exploring further. # Learner Variability Navigator > Reference for the Learner Variability Navigator (LVN) dataset in Knowledge Graph: learner models, factors, and strategies that connect student context and learning goals to instructional practices. export const GatedCallout = ({children}) =>
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{children}
; [Schema last updated January 28, 2025.](#schema-release-history) Access to this resource is restricted and requires prior approval. In some cases, a license may also be required. Contact [support@learningcommons.org ↗](mailto:support@learningcommons.org) for information about access and eligibility. ## About The Learner Variability Navigator dataset (LVN) helps scale the impact of learning science by making connections between student context and learning goals to recommend instructional practices likely to help a given student reach a specific goal. We’ve included 3 core concepts from the [Learner Variability Tool from Digital Promise](https://lvp.digitalpromiseglobal.org/) ↗. | Concept | Definition | | :----------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | **Learner models** | Grade- and subject-specific models (e.g., math for grades 3–6 or literacy for grades 4–6)

Each learner model connects student context and learning goals with instructional strategies. They help identify what supports student success for specific subjects and grade bands. | | **Factors** | Research-backed elements that influence learning across different learner models: | | **Strategies** | Instructional practices that support learning across these factors

Each strategy is supported by research and applies to multiple factors and learner models. For example, the peer teaching strategy supports factors like math communication and long-term memory. | ## Data relationship diagram Data model diagram: Learner Variability Navigator (LVN) entities—LearnerModel, Factor, Strategy—and their connections for linking student context and learning goals to instructional practices The diagram shows the **Learner Variability Navigator (LVN)** dataset only. `relevantToStandard` links to `StandardsFrameworkItem`, which is defined in [Academic Standards](/knowledge-graph/graph-reference/academic-standards). **Example (Math 3–6):** A `LearnerModel` is a grade-and-subject profile—e.g. *Math 3-6*. It `hasFactor` (e.g. *Working memory*, *Long-term memory*, *Math communication*) and `hasStrategy` (e.g. *Peer teaching*, *Visual aids*). A `Factor` can `interactWithFactor` another (e.g. working memory ↔ attention). A `Strategy` can `targetsFactor` one or more factors (e.g. *Peer teaching* targetsFactor *Math communication* and *Long-term memory*). A `Factor` can be `relevantToStandard` a `StandardsFrameworkItem` (e.g. *Algebraic reasoning* relevant to 6.EE.A.2). So the diagram connects learner context and standards to instructional strategies. **Edge list (source → relationship → target):** See [Entities](#entities) and [Relationships](#relationships) for full property and edge definitions. ## Entities ### `LearnerModel` Learner models are pairs of grades and academic subjects (e.g., math for grades 3-6, literacy for grades 4-6). For each learner model, there’s a subset of relevant factors and strategies. As such, they help contextualize what’s important for student success tied to specific grade bands and subjects. We have the following LearnerModels in the Knowledge Graph: * Math PK-2 * Math 3-6 * Math 7-10 * Literacy PK-3 * Literacy 4-6 * Literacy 7-12 * Portrait of a Learner PK-3 * Portrait of a Learner 4-8 * Portrait of a Learner 9-12  These entities have the following metadata: | Property | Description | Type | Cardinality | | :--------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------- | :---------- | | `academicSubject` | Academic subject | [`AcademicSubjectENUM`](/knowledge-graph/graph-reference/value-and-format-standards#academicsubjectenum) | 1 | | `attributionStatement` | Textual credit that acknowledges the source or creator of a work, included when required by the content’s license (e.g., Creative Commons BY); the statement specifies how the creator should be attributed in accordance with the license terms. | `String` | 1 | | `author` | Author of this content | `String` | 1 | | `content` | Materials that make up a learner model along with additional information (if available) | `String` | 0..1 | | `description` | Description of the item | `String` | 0..1 | | `gradeLevel` | Specifies the educational grade for which the curriculum component is intended | [`Array of GradeLevelENUM`](/knowledge-graph/graph-reference/value-and-format-standards#gradelevelenum) | 0..n | | `identifier` | Identifier of the item, either as textual strings or as URL (URI) links | `String` | 1 | | `license` | License document that applies to this content, typically indicated by URL | `String` | 1 | | `name` | Name of the item | `String` | 0..1 | | `provider` | Service provider, service operator, or service performer | `String` | 1 | ### `Factor` A factor is a characteristic that influences learning or performance. Factors span two categories: Context (e.g., background, environment, access to resources, attention, working memory) and Skills (e.g., decoding, fluency, algebraic reasoning). Factors may connect to other factors and can be linked to instructional strategies.  These entities have the following metadata: | Property | Description | Type | Cardinality | | :--------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------- | :---------- | | `academicSubject` | Academic subject | [`AcademicSubjectENUM`](/knowledge-graph/graph-reference/value-and-format-standards#academicsubjectenum) | 1 | | `attributionStatement` | Textual credit that acknowledges the source or creator of a work, included when required by the content’s license (e.g., Creative Commons BY); the statement specifies how the creator should be attributed in accordance with the license terms. | `String` | 1 | | `author` | Author of this content | `String` | 1 | | `category` | Grouping for factors within a LearnerModel | `String` | 0..1 | | `citations` | References to research that supports the factor | `Array` | 0..n | | `content` | Materials that make up a factor along with additional information (if available) | `String` | 0..1 | | `description` | Description of the item | `String` | 0..1 | | `gradeLevel` | Specifies the educational grade for which the curriculum component is intended | [`Array of GradeLevelENUM`](/knowledge-graph/graph-reference/value-and-format-standards#gradelevelenum) | 0..n | | `identifier` | Identifier of the item, either as textual strings or as URL (URI) links | `String` | 1 | | `license` | License document that applies to this content, typically indicated by URL | `String` | 1 | | `name` | Name of the item | `String` | 0..1 | | `provider` | Service provider, service operator, or service performer | `String` | 1 | ### `Strategy` The specific instructional best practices that support learning across the whole child framework. Each of the research-backed approaches supports a variety of factors and learner models (e.g., the ‘peer teaching’ strategy supports factors like math communication and long-term memory).  These entities have the following metadata: | Property | Description | Type | Cardinality | | :--------------------- | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------------------- | :---------- | | `academicSubject` | Academic subject | [`AcademicSubjectENUM`](/knowledge-graph/graph-reference/value-and-format-standards#academicsubjectenum) | 1 | | `attributionStatement` | Textual credit that acknowledges the source or creator of a work, included when required by the content’s license (e.g., Creative Commons BY); the statement specifies how the creator should be attributed in accordance with the license terms. | `String` | 1 | | `author` | Author of this content | `String` | 1 | | `category` | Grouping for strategies within a LearnerModel | `String` | 0..1 | | `citations` | References to research that supports the strategy | `Array` | 0..n | | `content` | Materials that make up a strategy along with additional information (if available) | `String` | 0..1 | | `description` | Description of the item | `String` | 0..1 | | `gradeLevel` | Specifies the educational grade for which the curriculum component is intended | [`Array of GradeLevelENUM`](/knowledge-graph/graph-reference/value-and-format-standards#gradelevelenum) | 0..n | | `identifier` | Identifier of the item, either as textual strings or as URL (URI) links | `String` | 1 | | `license` | License document that applies to this content, typically indicated by URL | `String` | 1 | | `name` | Name of the item | `String` | 0..1 | | `provider` | Service provider, service operator, or service performer | `String` | 1 | ## Relationships ### `hasFactor` A `hasFactor` relationship connects a LearnerModel to one or more Factors included in that model’s profile; one-to-many `(:LearnerModel)-[:hasFactor]->(:Factor)` ### `hasStrategy` A `hasStrategy` relationship connects a LearnerModel to one or more Strategies recommended or available within that model; one-to-many `(:LearnerModel)-[:hasStrategy]->(:Strategy)` ### `interactsWithFactor` An `interactsWithFactor` relationship is a bidirectional association between two Factors representing mutual interplay. `(:Factor)-[:interactsWithFactor]->(:Factor)` ### `targetsFactor` A `targetsFactor` relationship indicates that a strategy is intended to build or directly influence a Factor; many-to-many `(:Strategy)-[:targetsFactor]-(:Factor)` ### `relevantToStandard` A `relevantToStandard` relationship links a Factor to a StandardFrameworkItem to indicate relevance to the expectations expressed in that StandardFrameworkItem; many-to-many. `(:Factor)-[:relevantToStandard]->(:StandardFrameworkItem)` ## Schema release history | Date | Changed | | ---------------- | ---------------------------------------- | | January 28, 2026 | Added `relevantToStandard` relationship. | | December 8, 2025 | First release. |