Digital Innovation in Teaching and Learning

The University of Insubria regards digital innovation in teaching and learning as a key enabler of the quality of the learning experience, supporting the development of teaching methodologies, flexibility in modes of delivery and student inclusion.

The University's approach does not focus on increasing the number of tools available, but rather on building an integrated digital ecosystem, managed through a unified governance framework and aligned with the teaching models adopted. This ecosystem promotes the integration of face-to-face, synchronous and asynchronous learning activities. Within this framework, digital technologies are used to support and enhance educational processes, while preserving the central importance of the educational relationship and the lecturer's role.

Institutional platforms for digital and collaborative learning are adopted as official, University-wide shared environments, integrated with the University's digital identity system and its main information systems, ensuring consistency, security and continuity of access to services for students and academic staff. These platforms support course management, communication between lecturers and students, the sharing of teaching materials, and the production of and access to multimedia content, in line with a teaching model based primarily on face-to-face and blended learning.

Particular attention is paid to the careful design of asynchronous learning activities and the quality of multimedia content. The University promotes the use of digital content not merely as a digital reproduction of traditional face-to-face lectures, but as an integral part of redesigned learning pathways that combine structured materials, opportunities for synchronous interaction, and assessment and self-assessment activities, thereby improving the overall effectiveness of learning.

The digital ecosystem supporting teaching and learning also includes technological equipment for classrooms and laboratories, developed through targeted initiatives and dedicated projects designed to support face-to-face, hybrid and digital teaching. In particular, the most advanced equipment is concentrated in classrooms that have undergone structured modernisation programmes, while a significant proportion of the University's classrooms have basic or inconsistent levels of technological provision.

Technological decisions are planned and reviewed over time to ensure operational sustainability, service continuity and alignment with the University's educational provision. This also involves the progressive standardisation of basic classroom equipment and the piloting of classrooms with a high level of technological integration.

The digital ecosystem supporting teaching and learning also includes the use of the University's computer laboratories, both in traditional settings and through virtualisation solutions, which provide controlled access to specialist software and dedicated application environments.

These solutions are used to support subject-specific teaching activities, practical exercises, examinations and computer-based assessments, as well as specialised training programmes, ensuring continuity of access, reproducibility of environments and alignment with the teaching requirements of individual modules.

In particular, computer laboratories and dedicated digital environments are used to support assessment and evaluation of learning outcomes, including computer-based examinations and competency assessments, as well as language learning, through tools and platforms aligned with the learning objectives and delivery methods of the relevant degree programmes.

The use of these solutions enables the standardisation of assessment environments, improves the reliability of assessment processes and supports different approaches to teaching and learning, while respecting the University's organisational and regulatory requirements.

Another key feature of the University's approach is the institutional recording of attendance and the functional tracking of learning activities carried out on official platforms. The solutions introduced make it possible to certify attendance at compulsory teaching activities and collect relevant information on the use of learning materials and participation in educational activities. This is not intended for individual monitoring, but rather to support the continuous improvement of curriculum design and quality assurance processes.

Overall, the technologies, platforms and services described constitute an integrated system supporting teaching and learning, focused on quality, inclusion and sustainability, operating within a governance framework that clearly distinguishes strategic direction, technical management and teaching responsibilities. The detailed information provided in the accompanying documents offers further insight into the various aspects of the digital teaching and learning ecosystem, providing specific evidence to support the University's decisions.

Evidence of the implementation of digital innovation to support teaching and learning

To support digital innovation in teaching and learning, the University has implemented a comprehensive plan to equip classrooms and laboratories with advanced technology, providing reliable and sustainable support for in-person, hybrid and digital teaching.
Technology choices focus on the quality of the teaching and learning experience, ease of use for teaching staff and service continuity, in line with the delivery models for the University’s educational provision.

The equipment enables:

the use and production of multimedia content to support in-person and blended teaching;
the management of synchronous and asynchronous teaching activities, including in hybrid settings;
integration between physical spaces and the University’s official digital platforms;
assurance of audiovisual quality, reliability and consistency across the solutions adopted.

The supporting information documents:

the teaching technologies adopted in classrooms and laboratories, designed and assessed over time to ensure operational sustainability, service continuity and alignment with the teaching needs of degree programmes.

Reference documents

Introductory Seminar on Technologies to Support Teaching and Learning – 19 May 2026, in Collaboration with the University’s Teaching and Learning Centre (login required)

Distance Learning Platforms(italian)

Evidence of Advanced Technology Provision for Teaching and Learning

ccTo support digital innovation in teaching and learning, the University has implemented a comprehensive plan to equip classrooms and laboratories with advanced technologies, providing reliable and sustainable support for in-person, hybrid and digital teaching.
Technology choices prioritise the quality of the teaching and learning experience, ease of use for teaching staff and operational continuity of services, in line with the University’s modes of programme delivery.

The equipment provided enables:

the use and production of multimedia content to support in-person and blended teaching;
the management of synchronous and asynchronous learning activities, including in hybrid settings;
integration between physical learning environments and the University’s official digital platforms;
audio-visual quality, reliability and consistency across the solutions adopted.

The supporting documentation provides details of:

the teaching and learning technologies used in classrooms and laboratories, designed and reviewed over time to ensure operational sustainability, service continuity and alignment with the teaching requirements of degree programmes.

Reference Documents

Technologies for Teaching and Learning(italian)

Evidence of the implementation of teaching activity traceability and support for quality assurance processes

To support quality assurance in teaching and learning, the University has implemented institutional solutions for attendance recording and the tracking of teaching and learning activities carried out on its official platforms, in line with the teaching models adopted and the requirements of degree programmes.

These solutions enable the University to:

certify attendance at teaching activities for modules with compulsory attendance;
collect structured information on the use of learning materials and participation in learning activities;
support the continuous improvement of teaching and learning design and quality assurance processes.

Activity tracking is not intended to monitor individuals, but to provide useful information for assessing the effectiveness of the teaching methods adopted and supporting monitoring and self-assessment activities.

The supporting information documents:

the methods used to certify attendance at teaching activities;
the solutions used to track learning activities carried out on institutional platforms.

Reference documents

Verified Attendance and Activity Tracking(italian)

Evidence of AI trials in teaching and learning

Digital teaching and learning platforms and support services based on artificial intelligence are used to complement synchronous and asynchronous learning activities, in line with the University’s pedagogical and organisational choices. They enable the University to:

manage modules and student cohorts in a structured way, ensuring consistency in the organisation of educational provision;
support communication between teaching staff and students and the sharing of learning materials;
facilitate the production, enhancement and use of multimedia and digital content, including through intelligent tools that support teaching and learning design;
improve the accessibility, personalisation and usability of materials, particularly in asynchronous and blended learning settings;
combine asynchronous activities with opportunities for synchronous interaction, in line with the teaching models adopted by the University.

Particular attention is paid to the informed and controlled use of artificial intelligence technologies as tools to support teaching and learning processes, rather than to replace the teaching role of academic staff. AI trials are introduced gradually, in accordance with the principles of ethics, transparency, security and personal data protection established by the University.

The platforms and trials operate within a unified governance framework that clearly distinguishes responsibilities for strategic direction, technical management and teaching, in line with the University’s overall approach.

The use of digital platforms and services, including those based on artificial intelligence, is systematically monitored using usage indicators, support requests and evidence from quality assurance processes, to guide continuous service improvement and inform organisational and teaching decisions.

Further information
📄 Innovation and Artificial Intelligence in Teaching and Learning – A detailed document outlining the University’s choices, governance, trials and principles for the informed use of AI to support teaching and learning.

Innovation and AI in Teaching and Learning(italian)