This thematic module focuses on visual accessibility in games and VR experiences. It briefly introduces basics of visual accessibility, and some of the needs of individuals with different visual needs. Next, the lecture provides two main discussion points; 1. how most games are visually inaccessible, and how some mainstream games are accidentally accessible to large extent, and, 2. how games, and especially VR, experiences can be very valuable and allow access to life experiences that visually impaired individuals can’t easily access such as diving, mountain climbing, or even being a sniper in an army.

Tampere University

Games, Gamification, Serious Games and Accessibility

Nonstop MOOC on methods and technologies for accessibility

Resilient communities

The course covers the basic principles and methods of translating visual information into text. Both human-led methods and automatic technologies are introduced, including audio/video description, automatic image/video captioning and alternative texts.

Visuals to Text

Media and information literacy

The module will introduce the requirements and considerations for accessible entertainment, including going to a theater or museum, and watching a movie. As a part of this module, students will watch an accessible movie on YouTube and share their experiences in a learning diary reflecting on the many considerations and elements required to make a movie accessible to a large audience, including subtitling, audio descriptions, lighting etc.

Entertainment and Accessibility

This thematic module introduces the student to the definition of accessibility and discussion in society, but also to the role of disability legislation. People with disabilities are often excluded from the mainstream of society. Disabilities affect people’s lives in multiple ways, both as individuals and as part of society. Disability can also be either temporary or permanent, but accessibility is not just a temporary feature.

Defining and Discussing Accessibility in Society

Inter-personal skills

This module introduces the student to different ways of making accessible lectures. The student learns ways of evaluating the accessibility of the classroom from the point of view of lighting, sound design, visual information and mobility. The student also learns to think about the possible disabilities and special needs of people on the classroom and how to accommodate for them. The student will also learn about how to work with different types of interpreters and personal assistants for disabled people in the classroom setting.

Accessible Lectures

This thematic module covers the basic principles of easy spoken interaction. It provides examples from authentic conversations involving speakers who benefit from easy spoken interaction.

Easy Spoken Interaction

## The Challenge

A fundamental Machine Learning challenge can develop learners in several ways:

Career Opportunities: Machine Learning is a rapidly growing field, and there is a high demand for professionals with expertise in this area. By acquiring knowledge in fundamental Machine Learning concepts, learners can open up new career opportunities and enhance their employability. Knowing that there is a demand for their skills can be a strong motivating factor for individuals considering learning Machine Learning.

Practical Application: Machine Learning has numerous real-world applications across various industries such as healthcare, finance, marketing, and more. Learning the fundamentals of Machine Learning can help learners understand how it can be applied to solve complex problems and make predictions. This practical aspect can be highly motivating for individuals who are interested in using technology to create impactful solutions.

Innovations and Advancements: Machine Learning is at the forefront of technological advancements and innovations. By studying the fundamentals, learners can gain insights into cutting-edge research and developments in the field. This exposure to exciting advancements and breakthroughs can inspire and motivate learners to explore Machine Learning further.

Problem-Solving and Critical Thinking: Machine Learning involves analyzing data, identifying patterns, and creating models to make predictions or decisions. The process of learning Machine Learning requires learners to develop problem-solving and critical thinking skills. Engaging in challenging problem-solving exercises and seeing the results of their efforts can be highly motivating for learners.

CV (Curriculum Vitae) is a document that summarizes your educational and professional history. It must provide a detailed overview of your academic and work experience, skills, achievements, and qualifications.

Motivation letter is a personal statement and it might include a brief introduction of yourself, explanation why are you interested in the learning opportunity you are applying to, any relevant experience or skills that you have, your goals and how this opportunity will help you achieve them, This document should not be more than 400 words.

Motivation Letter

Transcript of Records is an official document issued by your home university. It specifies the name of the institution, the academic programme you are enrolled in, the list of courses taken up until the current period, the exams or tests you passed, the grades and the credits you earned. 

Transcript of Records

Dublin City University

Machine Learning

An overview of the tools, techniques and purpose of machine learning.

Circular economy

Entrepreneurship, technology and innovation

Critical and innovative thinking

This thematic module introduces the student to aided augmentative and alternative communication (AAC) techniques such as the use of pictures or symbols. Lectures focus on strategies (such as PECS, first-then boards) and the use of different systems (such as ARASAAC, Mulberry or Sclera) in different situations. Technologies, culture and the environment are also briefly discussed

Picture Communication

Technology overall, provides a safe, controlled, predictable environment for individuals with developmental disabilities, and using gestures and haptic interaction allows input mechanisms that do not rely on traditional keyboards and mouse interfaces. In this module, several different applications of gestures-based and haptic interaction will be presented and the limitation and benefits of each will be discussed. Example applications will be a combination of those that are commercially available and those that are developed in various research projects across the world.

Haptics and Gestures (Gesture-based Interfaces)

During this module, the student will modify their own document (thesis, publication, course work…) to make it more accessible. The module teaches how to make documents accessible and what kind of methods are available. The module introduces for example how to make accessible tables, images, footnotes, and charts.

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