Bring AI-native learning management to your Blackboard environment — without replacing what works.
Blackboard Learn is a trusted LMS used by hundreds of institutions worldwide. But as AI reshapes education, teams need more than a course repository — they need intelligent, adaptive systems that act on behalf of learners and instructors.
ibl.ai's Agentic LMS layers directly onto your existing Blackboard environment. It introduces purpose-built AI agents that automate workflows, personalize learning paths, and surface actionable insights — all while your data stays on your infrastructure.
This integration requires no rip-and-replace. Your Blackboard courses, enrollments, and gradebook remain the source of truth. ibl.ai extends them with agentic capabilities that are FERPA-compliant, institution-owned, and free from vendor lock-in.
The integration uses Blackboard's REST APIs and LTI 1.3 standard to establish a bidirectional data bridge between Blackboard Learn and the ibl.ai Agentic LMS platform. AI agents are deployed on institution-owned infrastructure and communicate with Blackboard in real time and on scheduled batch cycles.
Authenticates and synchronizes course, user, and activity data between Blackboard Learn and the ibl.ai platform
Blackboard REST APIs, OAuth 2.0Embeds ibl.ai Agentic LMS tools and AI agent interfaces directly within the Blackboard Learn UI
IMS Global LTI 1.3, Deep Linking 2.0Coordinates AI agents that monitor learner progress, trigger interventions, and automate instructor workflows
ibl.ai Agentic OS, institution-hosted infrastructureWrites AI-assessed scores and completion data back to the Blackboard gradebook in real time
Blackboard Grade Journey API, ibl.ai Webhook EngineDeploy the ibl.ai Agentic LMS platform on your institution's cloud or on-premises environment. ibl.ai provides containerized deployment packages and dedicated onboarding support to complete this step.
Navigate to Blackboard Admin > LTI Tool Providers and register ibl.ai using the provided Client ID, OIDC Login URL, and Redirect URI. Enable Deep Linking and Grade Services for full functionality.
Create a Blackboard REST API application in the Developer Portal and grant ibl.ai the required scopes: course read, membership read, grade write, and activity stream read. Store credentials securely in ibl.ai's secrets manager.
Trigger the first batch sync to import existing courses, enrollments, and historical activity data from Blackboard into the ibl.ai Agentic LMS. Review sync logs and resolve any data mapping conflicts before going live.
Use the ibl.ai Agentic OS console to define and activate agents for your use cases — such as early alert, personalized pacing, or automated feedback. Assign agents to specific courses or institution-wide roles.
Run end-to-end tests with a pilot cohort: verify LTI launches, grade passback, agent triggers, and data sync accuracy. Complete UAT with instructors before full institutional rollout.
ibl.ai agents analyze each learner's Blackboard activity, performance, and pace to dynamically adjust content sequencing and recommend next-best learning actions — all within the familiar Blackboard interface.
Agents continuously monitor engagement signals from Blackboard — missed submissions, declining grades, low login frequency — and automatically notify advisors or trigger supportive nudges to at-risk learners.
The Agentic LMS automates formative assessment scoring and generates personalized written feedback. Results are passed back directly to the Blackboard gradebook, saving instructors hours per week.
Instructors and administrators gain a unified AI-powered analytics layer on top of Blackboard data — surfacing cohort trends, content effectiveness scores, and predictive completion forecasts.
Unlike SaaS AI add-ons, all ibl.ai agents run on your infrastructure. Your institution owns the code, models, and data — ensuring full compliance with FERPA, HIPAA, and institutional data governance policies.
Learners and instructors access ibl.ai Agentic LMS tools directly inside Blackboard via LTI 1.3 — no separate login, no context switching. The AI layer feels native to the Blackboard experience.
Advisors at large universities use ibl.ai agents to monitor Blackboard engagement data across thousands of students simultaneously. When risk signals are detected, agents automatically send personalized outreach and escalate to human advisors when needed.
Instructors in high-enrollment courses deploy AI grading agents that assess short-answer and discussion responses in Blackboard, return feedback within minutes, and sync scores to the gradebook — reducing manual grading by up to 70%.
Enterprise training teams use the Blackboard + Agentic LMS integration to deliver compliance courses that adapt in real time to each employee's knowledge gaps, role, and prior completions — ensuring faster certification with less content fatigue.
Enrollment and orientation teams configure AI agents to guide new students through onboarding tasks in Blackboard — course registration, resource discovery, and deadline reminders — based on each student's program and profile.
Faculty use ibl.ai agents to automate repetitive Blackboard tasks: drafting announcement drafts, summarizing discussion threads, flagging unanswered questions, and generating weekly progress reports for each student.
See how ibl.ai deploys AI agents you own and control—on your infrastructure, integrated with your systems.