AI in Teaching & Learning

for Education

Deploy adaptive learning platforms and personalised content engines that transform student outcomes while upskilling educators to confidently integrate AI into their teaching practice.

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One-Size-Fits-All Learning Doesn't Work

Education institutions are under pressure to deliver personalised, adaptive learning experiences that meet every student where they are. But most learning platforms still deliver one-size-fits-all content, with limited ability to adapt to individual learning styles, pace, or needs.

At the same time, educators lack the AI literacy to effectively integrate new tools into their teaching practice. Tool fragmentation across departments, and difficulty measuring AI-driven outcomes, make it hard to build a compelling case for investment.

One-Size-Fits-All Learning

Static content delivery fails to adapt to individual student needs, pace, and learning styles.

Educator AI Literacy Gaps

Teachers and lecturers lack training and confidence to integrate AI tools into their pedagogy.

Tool Fragmentation

Multiple disconnected AI tools across departments create inconsistent experiences and wasted investment.

Measuring AI-Driven Outcomes

Difficulty quantifying the impact of AI on student retention, engagement, and learning outcomes.

Our Approach

We deliver AI-powered learning solutions that personalise education at scale while building educator capability and measuring real outcomes.

1

Adaptive Learning Platforms

AI-powered platforms that dynamically adjust content difficulty, format, and pacing based on individual student performance.

2

Personalised Content Engines

Recommendation engines that curate and deliver learning content tailored to each student's needs and progress.

3

Educator AI Upskilling

Structured training programs that build educator confidence and competence in using AI tools effectively.

4

Learning Analytics Dashboards

Real-time dashboards that give educators visibility into student engagement, performance, and early warning indicators.

5

LMS Integration

Seamless integration with Canvas, Moodle, Blackboard, and other learning management systems.

6

Outcome Measurement Framework

Data-driven frameworks to measure and demonstrate the impact of AI on student retention and learning outcomes.

Key Outcomes

35%

Improvement in student retention

100%

Personalised learning paths

100%

Educator AI readiness

Measurable

Learning outcome improvements

Our Offerings

Choose the engagement level that fits your organisation's needs and ambitions.

Essentials

A focused assessment that evaluates your AI-in-education readiness, educator capabilities, and initial opportunities.

AI-in-Education Readiness Assessment: Evaluation of your institution's current AI maturity, infrastructure, and pedagogical readiness.

Educator Capability Review: Assessment of educator AI literacy, confidence levels, and training needs across faculties.

Initial Recommendations Report: Findings summary with priority opportunities, quick wins, and recommended next steps for AI integration.

Ideal for institutions seeking a clear picture of their AI readiness and where to focus first.

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Professional

Everything in Essentials, plus an AI integration strategy, educator training programme, and best practice frameworks.

AI Integration Strategy: Comprehensive strategy document covering use case prioritisation, phased adoption, and investment planning.

Educator Training Programme: Structured professional development programme designed to build AI confidence and competence across teaching staff.

Best Practice Frameworks & LMS Integration Recommendations: Pedagogical AI guidelines paired with guidance on integrating AI tools with existing learning management systems.

Ideal for institutions ready for a thorough AI strategy with educator development and integration planning.

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Enterprise

Everything in Professional, plus institution-wide AI strategy, cross-faculty alignment, and ongoing advisory.

Institution-Wide AI Strategy: Enterprise-level strategy aligning AI initiatives across all faculties, departments, and learning programmes.

Cross-Faculty Alignment & Change Management Plan: Facilitated workshops and planning to coordinate AI adoption, manage change, and build institutional consensus.

Ongoing Strategic Advisory: Retained advisory engagement providing continuous guidance as your AI-in-education programme matures.

Ideal for institutions seeking organisation-wide AI strategic alignment and sustained expert guidance.

Launch a Team

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Let's explore how Adaca's journey can support yours.

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