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Integration

Blackboard Learn + Agentic OS Integration

Deploy purpose-built AI agents directly inside Blackboard Learn β€” on your infrastructure, under your control.

Blackboard Learn powers millions of learners across higher education and enterprise training. By integrating ibl.ai Agentic OS, institutions can layer intelligent, role-specific AI agents onto their existing Blackboard environment without replacing it.

Agentic OS connects to Blackboard via LTI 1.3 and REST APIs, enabling agents to read course data, respond to learner events, and trigger automated workflows in real time. Every agent runs on your own infrastructure β€” no shared models, no data leaving your environment.

The result is a Blackboard experience that feels AI-native: proactive nudges, automated grading support, personalized content delivery, and institutional analytics β€” all governed by your policies and fully FERPA-compliant.

Architecture

Agentic OS connects to Blackboard Learn through a secure middleware layer using LTI 1.3 for tool launches and Blackboard REST APIs for data access. Agents are deployed on customer-owned infrastructure and communicate bidirectionally with Blackboard, enabling real-time event handling and batch analytics processing.

Data Flows

Blackboard LearnAgentic OS Agent RuntimeLearner activity events, course enrollment, grade updates (real-time)
Agentic OS Agent RuntimeBlackboard LearnAgent-generated feedback, grade passback, content recommendations (real-time)
Blackboard LearnAgentic OS Analytics EngineCourse completion data, assessment results, engagement metrics (batch)
Agentic OS Agent RuntimeBlackboard Learn Announcements & MessagingPersonalized nudges, alerts, and learner communications (on-demand)
Institution Identity Provider (SSO)Agentic OSUser identity tokens, role claims, institutional attributes (real-time)

Components

LTI 1.3 Bridge

Handles secure tool launches from Blackboard into Agentic OS agent interfaces, passing user context and course data

LTI Advantage, OAuth 2.0, JWKS

Blackboard REST API Connector

Reads and writes course, user, grade, and content data between Blackboard and the Agentic OS agent runtime

Blackboard REST API v3, OAuth 2.0

Agentic OS Agent Runtime

Hosts and executes purpose-built AI agents with defined roles, memory, and tool access on customer infrastructure

Docker, Kubernetes, customer-hosted cloud or on-premise

Institutional Data Layer

Stores agent memory, interaction logs, and analytics data within the institution's own data environment

PostgreSQL, S3-compatible storage, customer-managed encryption

Setup Guide

1

Provision Agentic OS on Your Infrastructure

2–4 hours

Deploy the Agentic OS runtime on your cloud environment or on-premise servers using ibl.ai's deployment packages. Supports AWS, Azure, GCP, and private data centers.

  • Kubernetes cluster or Docker Compose environment
  • Minimum 8 vCPU, 32 GB RAM for production
  • S3-compatible object storage
  • PostgreSQL 14+ database
2

Register Agentic OS as an LTI 1.3 Tool in Blackboard

30–60 minutes

In Blackboard's Administrator Panel, register ibl.ai Agentic OS as an LTI Advantage tool. Input the OIDC login URL, launch URL, and public JWKS endpoint provided by your Agentic OS instance.

  • Blackboard Learn SaaS or self-hosted (3900.x+)
  • System Administrator access in Blackboard
  • Agentic OS OIDC and JWKS endpoint URLs
3

Configure Blackboard REST API Credentials

30 minutes

Create a Blackboard REST API application in the Developer Portal and grant it the required scopes. Enter the client ID and secret into the Agentic OS admin console to enable bidirectional data sync.

  • Blackboard Developer Portal account
  • API scopes: courses, users, grades, content
  • Agentic OS admin console access
4

Configure SSO and Identity Mapping

1–2 hours

Connect your institution's identity provider (SAML 2.0 or OIDC) to Agentic OS. Map Blackboard user roles to Agentic OS agent access tiers to ensure agents respect institutional role boundaries.

  • SAML 2.0 or OIDC-compatible IdP (e.g., Shibboleth, Azure AD, Okta)
  • Blackboard user role taxonomy
  • Agentic OS identity configuration panel
5

Deploy and Configure AI Agents

2–4 hours

Select and configure purpose-built agents from the Agentic OS catalog β€” such as a Course Advisor Agent or Retention Alert Agent. Assign each agent to specific Blackboard courses or institution-wide roles.

  • Agentic OS agent catalog access
  • Course or department scope definitions
  • Agent configuration and prompt governance settings
6

Test, Monitor, and Go Live

1–2 days

Run end-to-end tests using sandbox Blackboard courses. Validate data flows, agent responses, and grade passback. Enable production traffic and monitor agent activity via the Agentic OS observability dashboard.

  • Blackboard sandbox or test environment
  • Agentic OS observability dashboard
  • Institutional sign-off on data governance policy

Capabilities Unlocked

Purpose-Built AI Agents in Blackboard

Deploy agents with defined roles β€” advisor, tutor, retention coach β€” directly inside Blackboard courses and dashboards. No generic chatbots; every agent has a specific job.

Real-Time Learner Event Processing

Agents respond to Blackboard activity events β€” missed deadlines, low quiz scores, inactivity β€” and trigger personalized interventions automatically, without manual monitoring.

Automated Grade Passback

AI-assisted assessments and agent-evaluated submissions pass grades directly back to the Blackboard gradebook via LTI Advantage Assignments and Grades Service.

Institution-Owned Agent Infrastructure

All agents, models, and interaction data run on your infrastructure. ibl.ai never has access to your learner data. Full compliance with FERPA, HIPAA, and SOC 2 by design.

Cross-System Workflow Orchestration

Agentic OS agents can connect Blackboard with Banner, PeopleSoft, Salesforce, and other institutional systems β€” orchestrating multi-step workflows across your entire tech stack.

Institutional Analytics and Agent Observability

Track agent performance, learner engagement trends, and intervention outcomes in a unified dashboard. All logs stay on your infrastructure for full auditability.

Enabled Use Cases

Proactive Retention Intervention

Student Success / Advising

A Retention Agent monitors Blackboard engagement signals β€” login frequency, submission rates, grade trajectories β€” and automatically reaches out to at-risk students with personalized support messages and resource links before they disengage.

AI-Assisted Course Facilitation

Academic Affairs / Faculty

Faculty deploy a Course Facilitator Agent inside Blackboard that answers student questions 24/7, surfaces relevant course materials, and escalates complex queries to the instructor β€” reducing faculty workload while improving response times.

Automated Compliance Training Workflows

HR / Compliance / L&D

Enterprise training teams use Agentic OS to automate Blackboard-based compliance course assignments, completion tracking, and certificate issuance β€” triggered by HR system events like new hires or role changes.

Personalized Learning Path Recommendations

Academic Advising / Curriculum

An Advisor Agent analyzes a learner's Blackboard performance history and institutional goals, then recommends the next course, module, or resource β€” surfaced directly inside the Blackboard interface.

Intelligent Assessment Feedback

Academic Affairs / Assessment

Agentic OS agents provide detailed, rubric-aligned feedback on written assignments submitted in Blackboard, passing structured comments and preliminary scores to the gradebook for instructor review and approval.

Technical Requirements

Blackboard Learn Requirements

  • Blackboard Learn SaaS or self-hosted version 3900.x or later
  • LTI Advantage (1.3) enabled on the Blackboard instance
  • Blackboard REST API v3 access with admin-level application registration
  • System Administrator credentials for tool and API configuration
  • Blackboard Developer Portal account for REST API app registration

Agentic OS Infrastructure Requirements

  • Kubernetes 1.24+ or Docker Compose 2.x environment
  • Minimum 8 vCPU and 32 GB RAM for production deployment
  • PostgreSQL 14+ for agent state and interaction storage
  • S3-compatible object storage (AWS S3, MinIO, Azure Blob)
  • TLS-terminated ingress with a publicly resolvable domain for LTI callbacks
  • Outbound HTTPS access to Blackboard Learn REST API endpoints

Identity and Security Requirements

  • SAML 2.0 or OIDC-compatible identity provider for SSO
  • Institutional role taxonomy mapped to Agentic OS access tiers
  • Data Processing Agreement (DPA) executed with ibl.ai
  • Network firewall rules permitting LTI and API traffic between systems
  • Encryption at rest and in transit enforced on all Agentic OS storage

Frequently Asked Questions

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