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Our Accessibility Learning Labs not only inform participants about the need for accessible software, but also how to properly create and implement accessible software. These experiential browser-based labs enable participants, instructors and practitioners to engage in our material using only their browser. In the following document, we will provide a brief overview of our labs, how they may be adopted, and some of their preliminary results. Complete project material is publicly available on our project website: http://all.rit. edu 

We present a novel multi-source uncertainty prediction approach that enables deep learning (DL) models to be actively trained with much less labeled data. By leveraging the second-order uncertainty representation provided by subjective logic (SL), we conduct evidence-based theoretical analysis and formally decompose the predicted entropy over multiple classes into two distinct sources of uncertainty: vacuity and dissonance, caused by lack of evidence and conflict of strong evidence, respectively. The evidence based entropy decomposition provides deeper insights on the nature of uncertainty, which can help effectively explore a large and high-dimensional unlabeled data space. We develop a novel loss function that augments DL based evidence prediction with uncertainty anchor sample identification. The accurately estimated multiple sources of uncertainty are systematically integrated and dynamically balanced using a data sampling function for label-efficient active deep learning (ADL). Experiments conducted over both synthetic and real data and comparison with competitive AL methods demonstrate the effectiveness of the proposed ADL model. 

Our Accessibility Learning Labs not only inform participants about how to properly create accessible software, but also demonstrate the need to create accessible software. These experiential browser-based activities enable students, instructors and practitioners to utilize the material using only their browser. This tutorial will benefit a wide-range of participants in the software engineering community, from students to experienced practitioners who want to ensure that they are properly creating inclusive, accessible software. Complete project material is publicly available on the project website: http://all.rit.edu 

This tutorial will introduce our Accessibility Learning Labs (ALL). The objectives of this collaborative project with The National Technical Institute for the Deaf (NTID) are to both inform participants about foundational topics in accessibility and to demonstrate the importance of creating accessible software. The labs enable easy classroom inclusion by providing instructors all necessary materials including lecture and activity slides and videos. Each lab addresses an accessibility issue and contains: I) Relevant background information on the examined issue II) An example web-based application containing the accessibility problem III) A process to emulate this accessibility problem IV) Details about how to repair the problem from a technical perspective V) Incidents from people who encountered this accessibility issue and how it has impacted their life. The labs may be easily integrated into a wide variety of curriculum at high schools (9-12), and in undergraduate and graduate courses. The labs will be easily adoptable due to their selfcontained nature and their inclusion of all necessary instructional material (e.g., slides, quizzes, etc.). No special software is required to use any portion of the labs since they are web-based and are able to run on any computer with a reasonably recent web browser. There are currently four available labs on the topics of: Colorblindness, Hearing, Blindness and Dexterity. Material is available on our website: http://all.rit.edu This tutorial will provide an overview of the created labs and usage instructions and information for adaptors. 

Studies indicate that much of the software created today is not accessible to all users, indicating that developers don’t see the need to devote sufficient resources to creating accessible software. Compounding this problem, there is a lack of robust, easily adoptable educational accessibility material available to instructors for inclusion in their curricula. To address these issues, we have created five Accessibility Learning Labs (ALL) using an experiential learning structure. The labs are designed to educate and create awareness of accessibility needs in computing. The labs enable easy classroom integration by providing instructors with complete educational materials including lecture slides, activities, and quizzes. The labs are hosted on our servers and require only a browser to be utilized. To demonstrate the benefit of our material and the potential benefits of our experiential lab format with empathy-creating material, we conducted a study involving 276 students in ten sections of an introductory computing course. Our findings include: (I) The demonstrated potential of the proposed experiential learning format and labs are effective in motivating and educating students about the importance of accessibility (II) The labs are effective in informing students about foundational accessibility topics (III) Empathy-creating material is demonstrated to be a beneficial component in computing accessibility education, supporting students in placing a higher value on the importance of creating accessible software. Created labs and project materials are publicly available on the project website: http://all.rit.edu 

Many developers don’t understand how to, or recognize the need to develop accessible software. To address this, we have created five educational Accessibility Learning Labs (ALL) using an experiential learning structure. Each of these labs addresses a foundational concept in computing accessibility and both inform participants about foundational concepts in creating accessible software while also demonstrating the necessity of creating accessible software. The hosted labs provide a complete educational experience, containing materials such as lecture slides, activities, and quizzes. We evaluated the labs in ten sections of a CS2 course at our university, with 276 students participating. Our primary findings include: I) The labs are an effective way to inform participants about foundational topics in creating accessible software II) The labs demonstrate the potential benefits of our proposed experiential learning format in motivating participants about the importance of creating accessible software III) The labs demonstrate that empathy material increases learning retention. Created labs and project materials are publicly available on the project website: http://all.rit.edu