<The following recommendation was offered at the CyberLearning workshop addressed in the previous post on CyberLearning and Lifelong Learning and Accessibility. The post requires background in both accessibility and national funding policies and strategies.
This is NOT an official statement but rather a proposal for discussion. Please comment on the merits.
Motivation: CyberLearning must be Inclusive
To participate fully in CyberLearning, persons with disabilities must be able to apply their basic learning skills using assistive technology in the context of software, hardware, data, documentation,, and web resources. Trends toward increased use of visualizations both present difficulties and open new arenas for innovative applications of computational thinking.
Often, the software, hardware, and artifacts have not been engineered for these users, unforeseen uses, and integration with a changing world of assistive tools. Major losses result: persons with disabilities are excluded or must struggle; cyberlearning experiments do not include data from this population; and insights from the cognitive styles of diverse learners cannot contribute to the growth of understanding of cyberlearning.
Universal Design Goals
Universal design embodies a set of principles and engineering techniques for producing computational tools and real world environments for persons usually far different from the original designers. A broader design space is explored with different trade-offs using results from Science of Design (a previous CISE initiative). Computational thinking emphasizes abstraction to manage representations that lead to the core challenges for users with disabilities and different learning styles. For example, a person with vision loss may use an audio channel of information received by text to speech as opposed to a graphical interface for visual presentation of the same underlying information. The right underlying semantic representation will separate the basic information from its sensory-dependent representations, enabling a wider suite of tools and adaptations for different learners. This approach transcends universal design by tapping back into the learning styles and methods employed effectively by persons with many kinds of disabilities, which may then lead to improved representations for learners with various forms of computational and data literacy…
Beyond Universal Design as Research
beyond Universal Design” suggests that striving for universal design opens many research opportunities for understanding intermediate representations, abstraction mechanisms, and how people use these differently. This approach to CyberLearning interbreeds threads of NSF research: Science of design and computational thinking from CISE +human interaction (IRIS)+many programs of research on learning and assessment. +…
Essential Metadata Requirements
A practical first step is a system of meta-data that clearly indicates suitability of research software and associated artifacts for experimental and outreach uses. For example, a pedagogical software package designed to engage K-12 students in programming through informal learning might not be usable by people who cannot drag and drop objects on a screen. Annotations in this case may serve as warnings that could avoid exclusion of such students from group activities by offering other choices or advising advance preparation. Of course, the limitations may be superficial and easily addressed in some cases by better education of cyberlearning tool developers regarding standards and accessibility engineering.
Annotations also delimit the results of experiments using the pedagogical software, e.g. better describing the population of learners.
In the context of social fairness and practical legal remedies as laid out by the Department of Justice regarding the Amazon Kindle and other emerging technology, universities can take appropriate steps in their technology adoption planning and implementation.
Policies and Procedures to Ensure Suitable Software
For NSF, appropriate meta-data labeling then leads to planning and eventual changes in ways it manages its extensive base of software. Proposals may be asked to include meta-data for all software used in or produced by research. Operationally, this will require pro posers to become familiar with the standards and methods for engineering software for users employing adaptive tools. While in the short run, this remedial action may seem limiting, in the long run the advanced knowledge will produce better designed and more usable software. At the very least, unfortunate uses of unsuitable software may be avoided in outreach activities and experiments.
Clearly, NSF must devise a policy for managing unsuitable software, preferably within a 3 year time frame from inception of a meta-data labeling scheme.
Opportunities for Multi-Sensory Representation Research
Rather than viewing Suitable Software as a penalty system, NSF should find many new research programs and solicitation elements. For example, visual and on visual (e.g. using text-to–speech) or mouse version speech input representations can be compared for learning effectiveness. Since many persons with disabilities are high functioning in STEM, better understanding of how they operate may well lead to innovation representations.
Additionally, many representations taken for granted by scientists and engineers may not be as usable by a wider citizenry with varying degrees of technical literacy. For example, a pie chart instantly understandable by a sighted person may not hold much meaning for people who do not understand proportional representations and completely useless for a person without sight, yet be rendered informative by tactile manipulation or a chart explainer module.
Toward a Better, Inclusive Workforce
Workforce implications are multi-fold. First, a population of STEM tool developers better attuned to needs of persons with disabilities can improve cyberlearning for as much as 10% of the general population. Job creation and retention should improve for many of the estimated 70% unemployed and under-employed persons with disabilities, offering both better qualities of life and reduced lifetime costs of social security and other sustenance. There already exists an active corps of technologically adept persons with disabilities with strong domain knowledge and cultural understanding regarding communities of disabilities. The “curb cuts” principle also suggests that A.D.A. adaptations for persons with disabilities offer many unforeseen, but tacitly appreciated, benefits for a much wider population and at reasonable cost. NSF can reach out to take advantage of active developers with disabilities to educate its own as well as the STEM education and development worlds.
Summary of recommendation
- NSF adopt a meta-data scheme that labels cyberlearning research products as suitable or different abilities, with emphasis on the current state of assistive technology and adaptive methods employed by persons with disabilities.
- NSF engage its communities in learning necessary science and engineering for learning by persons with disabilities, e.g. using web standards and perhaps New cyberlearning tools developed for this purpose.
- NSF develop a policy for managing suitability of software, hardware, and associated artifacts in accordance with civil rights directives to universities and general principles of fairness.
- NSF establish programs to encourage innovation in addressing problems of unsuitable software and opportunities to create multiple representations using insights derived from limitations as of software as well as studies of high performing learners with disabilities.
- NSF work with disability representing organizations to identify explicit job opportunities and scholarships for developers specializing in cyberlearning tools and education of the cyberlearning education and development workforce.
Note: this group may possibly be
National Center on Technology Innovation