> ## 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. # Release notes > Release notes for Student-Facing Text, Feedback, Academic Standards, and Durable Skills evaluators, plus TypeScript and Python SDK version updates. ## Introducing Durable Skills evaluators Released [Durable Skills evaluators](/evaluators/durable-skills-evaluators/introduction) to rate student work against a construct's indicators, with evidence and reasoning for every judgment: | | | | :--------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------- | | [Critical Thinking](/evaluators/durable-skills-evaluators/critical-thinking) | Rates a student's source-based argumentative essay for critical thinking across 5 rubric indicators | ## Added Student-Facing Text evaluator | | | | :---------------------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------- | | [Organizational Structure](/evaluators/student-facing-text-evaluators/organizational-structure) | Assesses how demanding a text's organizational structure is for students at a given grade level | ## Added Feedback evaluators | | | | :--------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------- | | [Tone Appropriateness](/evaluators/feedback-evaluators/tone-appropriateness) | Assesses whether teacher feedback strikes a tone that is appropriate and constructive for the student | | [Withholding Answers](/evaluators/feedback-evaluators/withholding-answers) | Assesses whether teacher feedback guides the student toward a revision without doing the cognitive work for them | ## Introducing Academic Standards evaluators Released [Academic Standards evaluators](/evaluators/academic-standards-evaluators/introduction) to measure how aligned educational content is to [U.S. academic standards](/knowledge-graph/datasets/standards/us-academic-standards): | | | | :--------------------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------------------------------------- | | [Math Standards Alignment](/evaluators/academic-standards-evaluators/math-standards-alignment) | Checks a math question against an academic standard’s corresponding [learning components](/knowledge-graph/datasets/learning-components/math-learning-components) | ## Introducing Feedback evaluators Released [Feedback evaluators](/evaluators/feedback-evaluators/introduction) to assess the quality of AI-generated or teacher feedback: | | | | :------------------------------------------------------------------------------------------- | :-------------------------------------------------------------------------------------------------------------------------------- | | [Strength Acknowledgement](/evaluators/feedback-evaluators/strength-acknowledgement) | Assesses whether feedback names something specific and authentic the student did well, distinct from generic or unanchored praise | | [Revision Actionability](/evaluators/feedback-evaluators/revision-actionability) | Assesses whether feedback gives a clear, usable next step the student can act on without additional clarification | | [Student Response Specificity](/evaluators/feedback-evaluators/student-response-specificity) | Assesses whether feedback is clearly based on the student's specific response | | [Revision Accuracy](/evaluators/feedback-evaluators/revision-accuracy) | Assesses whether feedback correctly identifies whether the student needed to revise | | [Revision Manageability](/evaluators/feedback-evaluators/revision-manageability) | Assesses whether the amount of feedback is manageable for the student | ## Added Student-Facing Text evaluator | | | | :---------------------------------------------------------------------------------------------------- | :------------------------------------------------------------------------------------------- | | [Reference Knowledge Demands](/evaluators/student-facing-text-evaluators/reference-knowledge-demands) | Assesses what a text assumes you've already encountered and then builds on to create meaning | ## Introducing the Python SDK Released a [Python SDK](https://github.com/learning-commons-org/evaluators/tree/main/sdks/python) ↗ with support for the following [Student-Facing Text evaluators](/evaluators/student-facing-text-evaluators/introduction): * [Vocabulary Complexity](/evaluators/student-facing-text-evaluators/vocabulary-complexity) * [Meaning Directness](/evaluators/student-facing-text-evaluators/meaning-directness) ## Expanded TypeScript SDK support Added [`--bypass-row-limit`](/evaluators/sdk-api-reference/typescript/batch-evaluator#options) option for the [batch evaluator](/evaluators/sdk-api-reference/typescript/batch-evaluator). ## Added Student-Facing Text evaluator | | | | :---------------------------------------------------------------------------- | :----------------------------------------------------------- | | [Purpose Clarity](/evaluators/student-facing-text-evaluators/purpose-clarity) | Analyzes how clearly a text communicates its central purpose | ## Expanded TypeScript SDK support * [Purpose Clarity](/evaluators/student-facing-text-evaluators/purpose-clarity) ## Added Student-Facing Text evaluator | | | | :---------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------- | | [Meaning Directness](/evaluators/student-facing-text-evaluators/meaning-directness) | Analyzes whether language is literal and explicit or relies on figurative, abstract, or implied meaning that requires interpretation | ## Expanded TypeScript SDK support * [Background Knowledge Demands](/evaluators/student-facing-text-evaluators/background-knowledge-demands) * [Meaning Directness](/evaluators/student-facing-text-evaluators/meaning-directness) ## Introducing the TypeScript SDK Released a [TypeScript SDK](https://github.com/learning-commons-org/evaluators/tree/main/sdks/typescript) ↗ with support for the following [Student-Facing Text evaluators](/evaluators/student-facing-text-evaluators/introduction): * [Grade Level Appropriateness](/evaluators/student-facing-text-evaluators/grade-level-appropriateness) * [Vocabulary Complexity](/evaluators/student-facing-text-evaluators/vocabulary-complexity) * [Sentence Structure](/evaluators/student-facing-text-evaluators/sentence-structure) ## Introducing the Evaluators playground Released the [Evaluators playground](https://platform.learningcommons.org/apps/evaluators/playground) ↗, an interactive environment for testing evaluators without setup or integration ## Added Student-Facing Text evaluator | | | | :------------------------------------------------------------------------------------------------------ | :------------------------------------------------------------------------------------------ | | [Background Knowledge Demands](/evaluators/student-facing-text-evaluators/background-knowledge-demands) | Identifies key concepts in a text and evaluates background knowledge demands by grade level | ## Expanded Vocabulary Complexity support Expanded support for [Vocabulary Complexity](/evaluators/student-facing-text-evaluators/vocabulary-complexity) to include grades 5–12 ## Expanded Sentence Structure support Expanded support for [Sentence Structure](/evaluators/student-facing-text-evaluators/sentence-structure) to include grades 5–12 ## Introducing Student-Facing Text evaluators Released [Student-Facing Text evaluators](/evaluators/student-facing-text-evaluators/introduction): | | | | :---------------------------------------------------------------------------------------------------- | :---------------------------------------------------------------------------------------------------------------------------------- | | [Grade Level Appropriateness](/evaluators/student-facing-text-evaluators/grade-level-appropriateness) | Determines whether AI-generated text is suitable for a grade band and suggests scaffolding that can support instruction of the text | | [Vocabulary Complexity](/evaluators/student-facing-text-evaluators/vocabulary-complexity) | Measures how challenging vocabulary in informational texts may be for students in grades 3–4 | | [Sentence Structure](/evaluators/student-facing-text-evaluators/sentence-structure) | Assesses the complexity of sentence structure in informational texts for grades 3–4 | ## Related topics Report issues or ask questions about a recent release.