Packages/aiinfo/alignment

apps/nutritionfacts/package.json

@@ -28,5 +28,5 @@
     "update-cache": "vite-node ./scripts/updateCache.mts"
   },
   "type": "module",
-  "version": "2.0.6"
+  "version": "2.0.7"
 }

packages/aiinfo/Changelog.md

@@ -1,4 +1,101 @@
 # Changelog
+## 2025-11-19T13:51:04.973Z
+### CSV
+#### SHA
+```diff
+f62ad53ab4a0b498c59aa7a032648e344e0aa12cacd958c9a1f3594a0625d3bc
+```
+### conversionalignment
+#### compliance.retention
+```diff
+- "Standard execution, infrastructure, and other operational logs are retained for a reasonable period\nto enable monitoring and troubleshooting of underlying services."
++ "Standard execution, infrastructure, and other operational logs are retained for a reasonable period to enable monitoring and troubleshooting of underlying services."
+```
+#### outputs.outcomes
+```diff
+- "The intended outcomes are to streamline the process of aligning assessments with learning standards, save educators time, and\nensure consistency in assessment alignment."
++ "The intended outcomes are to streamline the process of aligning assessments with learning standards, save educators time, and ensure consistency in assessment alignment."
+```
+## 2025-11-19T13:49:14.970Z
+### CSV
+#### SHA
+```diff
+02634d347b308c424937d4ed2e0621e548f9984ef3c860dedee9e79896af26c2
+```
+### quickreassess
+#### revision
+```diff
+- "2025.10.27"
++ "2025.11.19"
+```
+#### model.name
+```diff
+- "Claude Family Models"
++ "Haiku 3"
+```
+#### model.description
+```diff
+- ""
++ "Anthropic Claude models are provided via Instructure's in-house AI Platform."
+```
+
+### conversionalignment
+#### uid
+```diff
++ "conversionalignment"
+```
+#### revision
+```diff
++ "2025.11.19"
+```
+#### feature
+```diff
++ {
+  "name": "Standards Alignment for Quiz Conversion",
+  "description": "When importing Canvas Quizzes to Mastery Connect, AI can be used to suggest aligned standards."
+}
+```
+#### model
+```diff
++ {
+  "name": "Claude Family Models",
+  "description": "Anthropic Claude models are provided via Amazon Bedrock Foundation Models (FMs).",
+  "trained": "No",
+  "data": "Course",
+  "dataDescription": "The Canvas Quiz content and Mastery Tracker metadata (Subject, Objectives) is shared with the\nmodel."
+}
+```
+#### compliance
+```diff
++ {
+  "retention": "Standard execution, infrastructure, and other operational logs are retained for a reasonable period\nto enable monitoring and troubleshooting of underlying services.",
+  "logging": "Does not log data",
+  "loggingDescription": "No user data is logged at any time.",
+  "regions": "Virginia, Oregon",
+  "regionsDescription": "",
+  "pii": "Not Exposed",
+  "piiDescription": ""
+}
+```
+#### outputs
+```diff
++ {
+  "settings": "Yes",
+  "human": "Yes",
+  "humanDescription": "The aligned standards can be reviewed and adjusted by educators prior to publishing the content.",
+  "guardrails": "AI suggestions are limited to the standards present in the linked tracker’s standard set. This ensures that only the intended audience (educators) can use the tool and only relevant standards are suggested.",
+  "risks": "Expected risks include possible misalignment if AI suggestions are not carefully reviewed, reliance on the accuracy of the tracker’s standard set, and the need for educator oversight to ensure quality.",
+  "outcomes": "The intended outcomes are to streamline the process of aligning assessments with learning standards, save educators time, and\nensure consistency in assessment alignment."
+}
+```
+#### group
+```diff
++ "Mastery"
+```
+#### permissions
+```diff
++ "2"
+```
 ## 2025-11-18T20:25:05.839Z
 ### CSV
 #### SHA

packages/aiinfo/cache/cache.csv

@@ -13,6 +13,8 @@ itemAuthoringAssistance,2025.11.18,Question Authoring,"Question Authoring Assist
 assessmentAuthoringAssistance,2025.11.18,Item Authoring,"Item Authoring for Assessments streamlines assessment creation by generating questions based on your course materials. 
 ",Haiku 3,Anthropic Claude models are provided via Instructure's in-house AI Platform.,No,Course,"Source material provided by the user (e.g., Custom standards, course content, text input, file input) for question/item generation.",Data is not stored or reused by the model.,Logs data,Usage data is logged to improve the product.,Global,,Not Exposed,"PII in source material may be sent to the model if included by the user, but no PII is intentionally sent to the model.",Yes,Yes,"Instructors can review, edit, regenerate, or provide additional instructions to refine generated items.",,"Generated items may not perfectly capture all desired information, require refinement, or occasionally contain inaccuracies.
 ",Improved instructor efficiency and productivity,Mastery,2
-quickReassess,2025.10.27,Suggestions for Quick Reassess,"Allows the use of AI to generate a question derived from the original. These questions can be re-generated, edited, and rejected or approved before they are published to students.",Claude Family Models,,No,Other,The original question stem used to generate derivatives,"Standard execution, infrastructure, and other operational logs are retained for a reasonable period to enable monitoring and troubleshooting of underlying services.",Does not log data,,Virginia,,Not Exposed,,Yes,Yes,"Educators have access to tools that allow them to preview, regenerate, edit, or replace AI generated questions before they are published in an assessment.",Only educators can generate items and all AI generated items are in draft status until reviewed and approved.,"AI generated questions may require additional review and editing to ensure accuracy, relevance, and alignment with intended learning objectives.","Educators can generate new standards-aligned questions based on existing items in order to quickly create diverse, tailored assessments that expand beyond the current Mastery Item Bank content, enhancing instructional flexibility and efficiency.",Mastery,2
+quickReassess,2025.11.19,Suggestions for Quick Reassess,"Allows the use of AI to generate a question derived from the original. These questions can be re-generated, edited, and rejected or approved before they are published to students.",Haiku 3,Anthropic Claude models are provided via Instructure's in-house AI Platform.,No,Other,The original question stem used to generate derivatives,"Standard execution, infrastructure, and other operational logs are retained for a reasonable period to enable monitoring and troubleshooting of underlying services.",Does not log data,,Virginia,,Not Exposed,,Yes,Yes,"Educators have access to tools that allow them to preview, regenerate, edit, or replace AI generated questions before they are published in an assessment.",Only educators can generate items and all AI generated items are in draft status until reviewed and approved.,"AI generated questions may require additional review and editing to ensure accuracy, relevance, and alignment with intended learning objectives.","Educators can generate new standards-aligned questions based on existing items in order to quickly create diverse, tailored assessments that expand beyond the current Mastery Item Bank content, enhancing instructional flexibility and efficiency.",Mastery,2
+conversionAlignment,2025.11.19,Standards Alignment for Quiz Conversion,"When importing Canvas Quizzes to Mastery Connect, AI can be used to suggest aligned standards.",Claude Family Models,Anthropic Claude models are provided via Amazon Bedrock Foundation Models (FMs).,No,Course,"The Canvas Quiz content and Mastery Tracker metadata (Subject, Objectives) is shared with the
+model.","Standard execution, infrastructure, and other operational logs are retained for a reasonable period to enable monitoring and troubleshooting of underlying services.",Does not log data,No user data is logged at any time.,"Virginia, Oregon",,Not Exposed,,Yes,Yes,The aligned standards can be reviewed and adjusted by educators prior to publishing the content.,AI suggestions are limited to the standards present in the linked tracker’s standard set. This ensures that only the intended audience (educators) can use the tool and only relevant standards are suggested.,"Expected risks include possible misalignment if AI suggestions are not carefully reviewed, reliance on the accuracy of the tracker’s standard set, and the need for educator oversight to ensure quality.","The intended outcomes are to streamline the process of aligning assessments with learning standards, save educators time, and ensure consistency in assessment alignment.",Mastery,2
 BCEAltText,2025.10.01,Block Content Editor Alt Text Generator,,Haiku 3,Anthropic Claude models are provided via Amazon Bedrock Foundation Models (FMs).,No,Course,Content Editor Images.,Model responses are stored for debugging purposes.,Logs data,"Request, response, and feedback data is logged to assist in troubleshooting.",Global,,Not Exposed,,No,Yes,"User initiated, User must confirm output.",,Alt text might not always be accurate. ,An accessible Alt Text description of the image is generated.,Canvas,2
 portfolios,2025.10.27,Portfolios,"AI Assistant for teachers to improve portfolio level and evidence level instructions improvement, skill extraction and reflection question generation.",Haiku 3,Anthropic Claude models are provided via Instructure's in-house AI Platform.,No,Other,Custom instructions that teachers provide in their Evaluation portfolios for students.,Data is not stored or re-used by the model.,Logs data,Model evaluations and reply labels are logged for debugging and troubleshooting purposes.,Global,,Not Exposed,,Yes,Yes,Teachers provide the input of the model (content) and the response by the model is not auto accepted. Teachers have the chance to modify the result every occasion.,"Teacher access to the model is limited, it's only through the instructions of the portfolio/evidence. There is suspicious prompt detection built in for extra security.","LLM might suggest not the right questions or skills, or not an improved instruction to the user's liking.","A user-friendly tool for a safe writing assistant, and features to speed up administrative work, and provide more reliable portfolios for students to work with.",Canvas,2

packages/aiinfo/cache/checksum.json

@@ -1,17 +1,18 @@
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 }