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Proposed
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[Proposal] Course Optimizer
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[Proposal] Improved Un-enrollment Experience for Enhanced User Satisfaction
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Configurable grading strategy for peer assessments
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Short Response xblock
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Teams V2 experience
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Configurable grading strategy for problems
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Resetting ORA submissions
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[Proposal] Autogenerate username behind a flag
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[Proposal] Add DataDog support to extend platform observability options
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[Proposal] Graded Discussions (v1)
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[Proposal] Add Extensibility Mechanisms to IDV to Enable Integration of New IDV Vendor Persona
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Certificate Templates Library in Studio
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[Proposal] Enhanced Course Card Design in Open edX Dashboard
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[Proposal] Visually Configure Course Components
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[Proposal] Improved Course Enrollment Views / Discovery
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[Proposal] Updated Course Goal Feature
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Learner Activity Service / APIs
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[Proposal] Graded Discussions (MVP)
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[Proposal] Content Search Powered by Meilisearch
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[Proposal] Customizable Header for LMS
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Administrator console for Open edX
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[Proposal] Centralized Multi-Channel Notification Settings + Persistent Mobile Notifications
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[Proposal] Setting "Active" as the Default Filter in Course-Authoring MFE
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[Proposal] Customizable Footer for LMS & CMS
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Proposal: (re) Enable Markdown editing of CAPA problems to meet various use cases
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Proposal: Help course authors understand the context of the text and problems they are editing
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[Proposal]AI-Driven Chatbot Integration for Enhanced User Support
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[Proposal] File Upload Button Behavior Improvement in edx-ora2
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[Proposal] Block registration from particular countries
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Lightweight catalog implementation via extensions
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Core Product Strategy
Assessment, Problem Creation, Grading Tools
Content and Course Authoring
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Revamping Tutor Indigo
Learner Experience (Course Lifecycle)
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LTI Consumer
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LTI Provider
Micro Frontends (MFEs)
Open edX Mobile
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"On Campus" feature bundle
Other Product Documents
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Ecommerce Integration
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Open edX Product Management
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Proposed
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Configurable grading strategy for problems
Configurable grading strategy for problems
Jenna Makowski
Owned by
Jenna Makowski
Nov 13, 2023
1 min read
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Configurable grading method for problems with multiple attempts
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