AI-Enabled Learner Support
Learner support,
boldly reimagined.
Move from reactive helpdesks and overloaded inboxes to a governed AI assistant that supports every learner, surfaces disengagement early, and gives your team the visibility to act before problems escalate.
💬 Always-on learner support
📊 Proactive intervention
🛡️ Governance-safe AI
🏛️ Institution-owned
🚨 At-risk flagged
Marcus Webb
94%
9 days since last login · Beacon escalated to Student Support
🔦 Beacon LIVE
847 active learners
BEACON AI
Hi Amara! Your CW2 report is due in 5 days. Shall I pull up the submission guidance and assessment criteria?
Amara Seck
Yes please — and can you remind me 24hrs before deadline?
BEACON AI
Done! Reminder set for Thursday at 09:00. CW2 should be submitted as a PDF via Moodle. Max 3,000 words, Harvard referencing. Your current module average is 67% — a solid 2:1 track. 📚
94%
Self-serve rate
2.4m
Avg response
47
At-risk flagged
The Challenge
Most learner support is reactive. That's the problem.
Institutions invest in student services, tutoring, and wellbeing — yet learners still disengage quietly before anyone notices. The issue isn't effort. It's a support model designed for a different era of education.
Reactive by design
Support is triggered when a learner asks for help — or when a tutor spots a problem manually. By that point, the intervention is damage control. Learners who disengage quietly never surface until it's too late.
Fragmented signals
Engagement data lives in the VLE. Support history is in a ticketing system. Wellbeing notes are in a different platform entirely. No one has a single, coherent view of where each learner stands.
Impossible to scale
More cohorts and partners mean more queries, more manual monitoring, and more pressure on the same teams. Without a redesigned support model, the only answer to growth is more headcount.
The Beacon Platform
A support intelligence layer, not just a chatbot.
Beacon is a bespoke, institution-owned AI assistant and support orchestration platform. It connects your VLE, student records, and services systems into a coherent picture of the learner journey — and gives your team the tools to act on it.
We design Beacon as a capability journey, not a product you switch on. Institutions start where they're ready — with governed reactive support that delivers value quickly — then progressively activate more advanced functionality as confidence and capability grow.
No two institutions build the same platform. Everything is configured to your systems, governance requirements, and learner population — and owned entirely by you.
Beacon Maturity Model
1
Reactive Support Assistant
Course Q&A, policy guidance, wellbeing escalation
2
Proactive Engagement & Nudges
Disengagement signals, retention nudges, deadline prompts
3
Staff Co-Pilot & Triage
Extension automation, response drafting, dashboards
4
Adaptive Personalisation
Persistent memory, adaptive guidance, learner intelligence
Layer 1
Course-Aware Conversational Support
Handles routine academic and services queries — deadlines, grading, extensions, policy, IT signposting — with responses anchored to your institution's own content. Academic integrity guardrails and wellbeing escalation built in by design. Available 24/7, across any channel.
Layer 2
Proactive Engagement & Retention Nudges
Monitors learner engagement signals — logins, submissions, milestones — and triggers contextual outreach when thresholds are crossed. Learners at risk of disengagement receive a check-in before they disappear. Configurable per programme, logged, and governed.
Layer 3
Staff Co-Pilot & Service Triage
Beacon drafts responses to common queries, automates extension and support request triage, and surfaces recurring course-level patterns to faculty. Tutors retain full authority; Beacon removes the groundwork that slows them down. Time spent on value-add contact, not inbox management.
Layer 4
Learner Intelligence & Operational Insight
Real-time dashboards give institutional leaders visibility of at-risk learners, support demand by cohort and programme, intervention outcomes, and query patterns. The same data drives evidence-based programme improvement — identifying where design, communication, or assessment structures generate avoidable learner difficulty.
Use Cases
Built for the moments that matter most.
Beacon works across the entire learner journey — from first query through to completion. Here are the use cases institutions prioritise first.
1
Beacon detects disengagement signal
Learner has not logged into the VLE for 4+ days. Submission activity below cohort average. Engagement threshold crossed.
2
Contextual nudge triggered automatically
Learner receives a personalised check-in message with guidance links and upcoming deadlines. Tone and content configured to institution's learner support policy.
3
Re-engagement or escalation route
If learner responds and re-engages, Beacon logs recovery and alerts tutor. If no response within 48 hours, case is escalated to a named staff member with full context.
4
Outcome logged and reported
Every intervention is recorded. Tutor dashboard shows cohort-level recovery rates, which nudges worked, and which learners still require direct contact.
Outcomes
Earlier identification of at-risk learners — before they withdraw or formally escalate
Reduced time-to-intervention: days earlier than manual tutor monitoring
Full cohort visibility without manual review of VLE logs
Auditable intervention record for retention quality assurance
1
Learner requests an extension via Beacon
Student initiates request through the assistant. Beacon identifies the module, assignment, deadline, and current submission status automatically.
2
Beacon gathers required documentation
Guides learner through evidence requirements (medical certificate, personal statement). Secure upload link provided. Policy eligibility checked against prior requests and deadlines.
3
Structured case ticket created and routed
Beacon creates a complete case record and routes to Registry or academic support — with all context pre-populated. Staff see the case ready to decide, not ready to start processing.
4
Automated learner notification
Once a decision is made by staff, Beacon notifies the learner with outcome, new deadline (if granted), and relevant guidance. Zero manual communication needed.
Outcomes
Average handling time for extension requests reduced by up to 60%
Complete, consistent documentation at point of decision — no chasing
Learner experience is consistent regardless of time of day or staff availability
Backlog visibility and SLA tracking across all service requests
1
Beacon detects potential wellbeing concern
Language pattern analysis identifies indicators of distress, overwhelm, or crisis in a learner interaction. Wellbeing trigger threshold crossed.
2
Beacon responds with empathy — not autonomy
Beacon acknowledges the learner, provides immediate signposting to relevant support services, and initiates a human escalation — it does not attempt to manage the situation independently.
3
Human-in-the-loop escalation activated
Student wellbeing team notified immediately with conversation context (subject to consent and GDPR compliance). A named member of staff follows up within the agreed SLA.
4
Academic pathway support coordinated
Where appropriate, academic adjustments, LAS plans, or deadline deferrals are coordinated and logged through Beacon — keeping all threads connected.
Outcomes
Earlier identification of learners in distress — before formal escalation
Governance-compliant design: Beacon never manages wellbeing autonomously
Academic and wellbeing support pathways connected in a single record
Auditable wellbeing interaction log for safeguarding compliance
Why LearningMate / Straive
Not a chatbot vendor. A strategic education partner.
There is no shortage of AI chatbot products aimed at higher education. What is rare is a partner who understands the institutional, governance, and operational context — and builds accordingly.
We understand UK higher education
Academic integrity, student wellbeing duties, UK GDPR, Office for Students obligations, REF and TEF considerations — these are not abstract constraints. They are the governing framework we build within. Beacon is designed for the reality of UK HE, not adapted from a generic enterprise AI product.
You own the platform entirely
No SaaS licensing, no ongoing vendor dependency, no revenue share. Every platform we build is developed in partnership with the institution, configured to their systems and learner population, and handed over as institutional IP. Your data, your platform, your roadmap.
Governed by design, not as an afterthought
Academic integrity guardrails, wellbeing escalation protocols, human-in-the-loop decision authority, and GDPR-compliant data handling are architectural requirements — not features we add later. We build governance into the platform from day one because our clients need to be able to deploy with confidence.
A maturity journey, not a product switch
Institutions start with reactive Q&A — which delivers measurable value within weeks — and progressively activate proactive nudges, staff co-pilot tools, and adaptive personalisation as confidence grows. We design for where you're ready to start, not where we'd like you to be.
Capability
🔦 Beacon (LearningMate)
Generic chatbot / VLE add-on
Institutional ownership
✓ Fully institution-owned IP
✗ Vendor-owned SaaS
Proactive engagement
✓ Disengagement detection & nudges
✗ Reactive Q&A only
Governance & wellbeing
✓ Built in from architecture level
✗ Bolt-on or absent
Staff co-pilot & triage
✓ Extension automation, dashboards
✗ Not available
Systems integration
✓ VLE, SRS, CRM, ticketing
✗ Limited to own platform
Maturity pathway
✓ Reactive → proactive → adaptive
✗ Single capability tier
In Practice
AI learner support at scale: 165,000 students, 8 campuses.
A leading US institution — ranked among the most innovative colleges in the country — partnered with LearningMate to build a bespoke AI Persistent Assistant that transforms how students are supported across their entire academic journey.
165K+
Students supported across the institution
8
Campuses running on a single scalable platform
9+
Specialised AI agents deployed across the student lifecycle
100%
Bespoke build — institution-owned, not an off-the-shelf product
The Challenge
Despite strong retention and graduation outcomes, existing AI market solutions failed to meet the institution's requirements. Rather than compromising with a generic product, they partnered with LearningMate to build a solution directly aligned to their institutional effectiveness goals.
🎓 Client Story · Higher Education
From reactive helpdesk to proactive AI partner — across the entire student lifecycle.
LearningMate built an AI Persistent Assistant integrating directly into the institution's LMS, providing a comprehensive agentic framework covering every critical touchpoint: recruitment, instruction, study support, financial aid, health and wellness, and career readiness.
The solution is built on a scalable platform architecture, enabling the institution to continuously add new AI capabilities as their strategy evolves — without vendor dependency or capability ceiling.
Proactive guidance at scale. The assistant monitors academic activity and delivers personalised reminders, study recommendations, and targeted feedback to every student — automatically.
Faculty intervention dashboards. Instructors can shift from reactive responses to proactive, data-informed engagement — flagging at-risk students before they disengage.
Built to grow. Scalable architecture means new services and support functions can be added over time — the platform evolves with the institution's strategy, not against it.
Setting a benchmark. The deployment demonstrates how institutions can use bespoke AI to remove barriers to learning, personalise the student experience, and prepare students for career success — at any scale.
"
LearningMate is a trusted partner who gives us flexibility and scalability in our digital learning infrastructure. Their ability to understand our institutional context and deliver at pace is genuinely differentiated.
John Hemingway · Chief Information Officer, Durham University
Ready to transform learner support?
See Beacon in action at Hartwell University — our working prototype demonstrates the full platform across all four capability layers.
Request a Demo →Request a Demo
See Beacon in action.
We'll walk you through our Hartwell University prototype — a working demonstration of the full Beacon project concept — and have a conversation about what the operational challenges look like for your institution.
▶ Explore the live demo — Hartwell University Beacon project concept
→
Opens in a new tab. Generic prototype — no institution data required.
Learner chat interface with integrity guardrailsSee how Beacon handles real learner queries, escalates wellbeing concerns, and maintains academic integrity automatically.
Tutor risk dashboard & analyticsLive disengagement scoring, intervention tracking, and cohort-level reporting — everything your team needs to act early.
Staff co-pilot and extension triageWatch Beacon automate the extension request workflow end-to-end and draft staff responses in seconds.
No product pitch — a real conversationWe want to understand your context. The most useful outcomes come from hearing "our version of this problem looks like this."
Request a Demo
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