AWTG Limited

Case Study

AWTG Limited + University of Glasgow

Develop an AI-powered platform that transforms teaching by integrating evidence based pedagogy with real-time analytics.

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).

LEAP is a Knowledge Transfer Partnership between the University of Glasgow and AWTG Limited to contribute to the features of Aruva, an AI-powered higher education platform developed by AWTG for personalised, adaptive learning and formative assessment. Aruva is a registered UK trade mark (UK00004374701). The platform has been fully developed and integrated into AWTG's systems, three rounds of user acceptance testing are complete, and pilots have been agreed in principle with Nokia Al Saudia Training Institute in Saudi Arabia and two universities. This case study focuses on Smart Syllabus, Aruva's curriculum intelligence layer and its core proposition. Smart Syllabus transforms course planning from a static document into a governed framework that connects teaching intent, learning outcomes, assessment design, learning resources, feedback signals and institutional requirements. It keeps AI support aligned with academic judgement while giving students more personalised guidance and institutions clearer visibility over learning activity. Through Aruva's three intelligence layers, Knowledge-Augmented Generation, Retrieval-Augmented Generation and Context-Augmented Generation, Smart Syllabus links curriculum structure, approved evidence and learner context into one continuous improvement cycle. This supports better tutoring, assessment support, planning, analytics and curriculum enhancement, while keeping academic staff, students and institutions central to how AI is used in teaching and learning.

Please check it out for yourself: https://www.aruva.co.uk/

The Challenge

Universities and Training Providers 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 has to 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, so that the company can build and take to market an education-specific AI platform that reflects how universities teach, assess, support learners and make decisions about quality.

The Solution

The solution is Aruva, and at its core 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 guidance set by the academic.

This framework is strengthened by Aruva'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. Aruva has now been fully developed and integrated into AWTG's systems, with three rounds of user acceptance testing complete. 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

Through the KTP, AWTG now has improved Aruva’s capabilities: a higher-education AI platform built around pedagogy, governance and institutional trust, with Smart Syllabus as its core proposition. Aruva has been developed and integrated into AWTG's systems, has completed three rounds of user acceptance testing, and is protected as a registered UK trade mark (UK00004374701). It gives the company a reusable product foundation for course authoring, curriculum intelligence, AI tutoring, assessment support, analytics and academic quality assurance.

Commercial interest has followed. Pilots have been agreed in principle with Nokia in Saudi Arabia, for internal learning and training, and two universities, for student cohorts in computer science. Institutional buyers need confidence that AI outputs are explainable, aligned with course design, respectful of academic control and able to operate within governance and compliance requirements. Smart Syllabus answers that need by making curriculum structure the foundation for trustworthy AI. The partnership has strengthened AWTG's capability to design and commercialise education-specific AI systems that meet the expectations of universities, educators and learners. For AWTG this means a clearer product pathway, stronger differentiation in the EdTech market and a credible basis for further pilots, partnerships and commercialisation in higher education.

Impact for the academic team

For the University of Glasgow academic team, led by Dr Ahmed Zoha as academic supervisor and working alongside Professor Muhammad Ali Imran and Professor Sajjad Hussain, Aruva and Smart Syllabus provide a practical route for translating research expertise into a live educational technology product. The project connects constructive alignment, explainable AI, learning analytics, human-centred AI and adaptive pedagogy with the design of a real higher-education platform that is now built, integrated and moving towards pilots.

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 Aruva.

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

Dr Ahmed Zoha

Knowledge Base Supervisor

Erkan Berk

Company Supervisor