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Case Study

AWTG Limited + University of Glasgow

To develop LEAP, an AI-powered platform that transforms teaching and formative assessment through personalized, adaptive learning by integrating evidencebased pedagogy with real-time analytics, enhancing educator effectiveness and student engagement while providing dynamic feedback based on student performance profiling to improve student learning outcomes.

AWTG Limited

AWTG Limited is an integrated software and telecom engineering services provider specializing in digital transformation and AI-first solutions. With its strong foundation in telecommunications, AWTG has strategically expanded into generative AI and software solutions, developing several commercial applications leveraging Gen-AI (Kai Assistant, and Telecoms AI).

AWTG logo

The Challenge

Universities are under growing pressure to adopt AI in teaching and assessment, but many available tools are not built around the way higher education actually operates. Generic AI systems may provide quick answers, yet they often sit outside the curriculum, lack clear academic oversight, and struggle to show how responses relate to learning outcomes, assessment criteria, approved resources or institutional policy. This creates risks around trust, explainability, alignment, copyright, student support and academic control.

The challenge for LEAP is therefore to move beyond a chatbot-style model of AI in education. The project must create an approach where AI is grounded in the syllabus, governed by academic intent, and capable of supporting learning in a way that is transparent, adaptive and institutionally credible. The KTP also needs to transfer sustainable capability into AWTG, helping the company develop an education-specific AI platform that reflects how universities teach, assess, support learners and make decisions about quality.

The Solution

The solution is Smart Syllabus: a curriculum intelligence layer that turns the syllabus into a living framework for AI-supported learning. Rather than treating course plans as static documents, Smart Syllabus captures the academic structure of a course in a form that AI can use responsibly, including teaching aims, learning outcomes, resources, assessments, skills, feedback signals and professor-defined guidance.

This framework is strengthened by LEAP’s three intelligence layers. Knowledge-Augmented Generation helps the platform understand relationships between concepts, skills, outcomes and assessments. Retrieval-Augmented Generation grounds AI support in approved course and source material. Context-Augmented Generation uses that governed context to provide personalised, pedagogically aligned support for students and staff. Together, these layers allow Smart Syllabus to support tutoring, formative assessment, student planning, analytics and continuous course improvement. The result is a model-agnostic and human-guided approach to educational AI, where academic staff retain control and the platform becomes a trusted support system for learning rather than an unstructured answer engine. 

The Impacts and Benefits

Impact for the company

Smart Syllabus gives AWTG a distinctive higher-education AI proposition: a platform built around pedagogy, governance and institutional trust rather than a generic AI assistant. It creates a reusable product foundation that can support course authoring, curriculum intelligence, AI tutoring, assessment support, analytics and academic quality assurance across different institutional contexts.

The KTP programme strengthens AWTG’s capability to design and commercialise education-specific AI systems that meet the expectations of universities, educators and learners. Institutional buyers need confidence that AI outputs are explainable, aligned with course design, respectful of academic control and capable of operating within governance and compliance requirements. Smart Syllabus directly supports that market need by positioning curriculum structure as the foundation for trustworthy AI. It also gives AWTG a stronger narrative for demonstrating value to partners: improved educator support, more personalised student learning and better institutional oversight. For AWTG, this creates a clearer product pathway, stronger differentiation in the EdTech market and a more credible basis for future pilots, partnerships and commercialisation in higher education.

Impact for the academic team

For the University of Glasgow academic team, Smart Syllabus provides a practical route for translating research expertise into a live educational technology context. The project connects constructive alignment, explainable AI, learning analytics, human-centred AI and adaptive pedagogy with the design of a real higher-education platform.

This creates a valuable testbed for exploring how AI can support academic judgement rather than replace it. Smart Syllabus allows the academic team to investigate how learning outcomes, assessment design, feedback, teaching intent and student progress can be represented in a structured and explainable way. It also supports research and impact opportunities around curriculum validation, responsible AI, formative assessment and personalised learning. Through the KTP, academic knowledge is being transferred into AWTG’s product thinking, while the University gains applied evidence on how AI can be embedded responsibly in teaching and learning. As the project progresses, this creates potential for ethics work, pilot evidence, academic dissemination and future research outputs.

Impact for the KTP Associate

 

The KTP Associate benefits from broad multidisciplinary development across AI, higher education, product strategy and knowledge transfer. The project has strengthened the Associate’s ability to work across technical, pedagogical and commercial boundaries, translating complex educational requirements into practical product direction for an AI-enabled learning platform.

Through Smart Syllabus, the Associate has developed expertise in curriculum intelligence, explainable AI, knowledge graph thinking, AI governance, adaptive learning and formative assessment. The work has also strengthened research capability, including a PhD direction focused on explainable AI for constructive alignment in higher education curricula. Beyond technical and research development, the Associate has gained experience operating between the University of Glasgow and AWTG, coordinating stakeholder expectations, shaping project governance, maintaining risk and decision records, and communicating complex ideas to multidisciplinary audiences. The role is therefore building not only specialist AI and EdTech knowledge, but also leadership, project management and strategic communication skills within a real academic-commercial innovation environment.

Meet the Team

Pouria M. Tehran

KTP Associate


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Erkan Berk

Company Supervisor


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Prof. Ahmed Zoha

Knowledge Base Supervisor


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