Available courses

MODULE 1: Digital Inclusion, digital equity - main issues, state-of-the-art

This module looks into the crucial concepts of digital inclusion and digital equity, focusing on their importance in higher education. It explores the systemic barriers, policy frameworks, and current trends technologies that influence equitable access and participation in digital learning environments..

MODULE 2: Using e-learning Platforms for inclusive teaching

This module investigates inclusive teaching strategies for e-learning platforms, offering essential knowledge and tools to foster an inclusive and accessible learning environment. Beginning with foundational principles, participants will learn about UDL, WCAG standards, and culturally responsive teaching. The module covers practical methods for implementing inclusive practices, addressing various learner needs through differentiated instruction, flexible assessments, and accessibility tools. Participants will also gain skills in evaluating and enhancing the accessibility of digital learning materials, ensuring full engagement for all students, including those with disabilities. Hands-on activities and case studies allow participants to assess e-learning resources for accessibility using WCAG 2.2 standards and other relevant guidelines. 

MODULE 3: Design and develop digital educational content and activities for digital inclusion

This module equips participants with the skills and knowledge to design, develop, and evaluate digital educational content that promotes inclusivity and accessibility in higher education. It introduces the importance of accessibility, highlighting the challenges faced by diverse learners and the role of inclusive practices in overcoming them. Participants explore the principles of the Universal Design for Learning (UDL) framework—Engagement, Representation, and Action & Expression—and learn to apply them effectively in digital course design.

Through a mix of theoretical insights and practical applications, participants engage in interdisciplinary group activities to design sample courses or modules. They utilize tools like Microsoft Accessibility Checker and WAVE to assess and refine their content for accessibility. Peer-review processes ensure collaborative learning and foster an iterative approach to course improvement.

By the end of the module, participants will be able to create accessible and inclusive digital learning environments that meet the needs of all students, promoting equity and engagement across diverse educational settings.

MODULE 4: AI usage in education and learning process

This course explores the transformative role of Artificial Intelligence (AI) in modern education, focusing on its potential to create inclusive, efficient, and innovative learning environments. Designed for higher education (HE) teachers, staff, and researchers, the course delves into theoretical concepts, ethical considerations, and practical applications of AI in the learning process.

AI is reshaping education by personalizing learning experiences, automating routine administrative tasks, and enhancing accessibility for diverse learners. Participants will gain a deep understanding of how AI tools—such as adaptive learning systems, auto-grading platforms, and language translation services—can support teaching and learning. The course emphasizes the integration of AI in digitally inclusive education, ensuring that technology addresses the needs of learners from various backgrounds and abilities. In addition to its benefits, AI's ethical dimensions are critically examined, including issues of data privacy, algorithmic bias, and the risk of over-reliance on technology. The course provides participants with frameworks to ethically manage and evaluate AI tools in their educational practices.

The program is divided into three parts. The first part provides a theoretical foundation, introducing AI’s role in education, its capabilities, and its ethical implications. The second part combines theory with practice. In the third part, participants engage in asynchronous activities to reflect on their learning. This includes completing practical tasks such as applying an AI tool to a real-world teaching scenario, evaluating its outcomes, or answering targeted questionnaires. This final component fosters critical thinking and ensures participants can confidently trial and implement AI tools in their professional context.

By the end of the course, participants will be able to:

  • Identify AI’s role in education.
  • Address ethical challenges related to AI use.
  • Use AI tools effectively to enhance teaching and learning processes.

This course equips educators with the knowledge and skills to adopt AI responsibly, fostering an inclusive and innovative educational experience.

MODULE 5: eLearning assessment methods

This module will follow the Universal Design Assessment (UDA) Principles, which are part of the broader framework of Universal Design for Learning (UDL). UDL is a framework for designing and delivering teaching that is accessible and inclusive for all students. UDL allows all students with diverse backgrounds to access course materials, removing the need for some of them to seek support and disclose any sensitive information about them actively. 


The module consists of three parts. The first part will introduce the theoretical background of issues related to equity and inclusion in assessment. In the second part of the module, the participants will make a self-assessment survey on assessment practices, which will help them to connect the theoretical framework to their own context. The self-assessment survey is followed up by a group discussion. In the final part, the participants will apply the knowledge they have gained in the course in a group assignment, in which they will discuss case studies that each exemplify a specific issue in assessment practices.