EMERGING TECHNOLOGIES -- Accessibility and Web Design : Why Does It Matter?
Notice bibliographique
Résumé
The passage of the American with Disabilities Act (ADA) in 1990 has had a major impact on the physical infrastructure of college campuses in the US. Less well-known is the growing ADA impact on educational applications of technology, particularly in the use of the Web. Parallel to the beginnings of ADA-inspired awareness of this issue has come the approval by the Federal Office of Management and Budget on December 21, 2000, of Section 508 (of the Rehabilitation Act) accessibility standards. Government agencies will have six months from this date to make their Web sites accessible to users with disabilities. After that date, federal agencies -- and presumably non-compliant institutions receiving federal funds -- will be subject to law suits. Many regions in the US have instituted accessibility guidelines as well. This is not just a US issue; there are a number of countries, including Australia, Canada, Denmark, France, and Japan, which have recently issued policies relating to Web accessibility. But legality aside, it makes good sense to make instructional technology as accessible as possible. There are emerging standards for achieving this goal. Interestingly, new Web delivery options can benefit from following the same guidelines. Why should language teachers be concerned with accessibility? Can't the small number of users with special needs be accommodated individually? In response, one could ask, why worry about the limited number of Internet users who don't know English? Just as we should be concerned with monolingualism on the Web and the social-economic digital divide, so too should we be concerned about problematic access to learning materials on the part of even a small numbers of students. In fact, the number is probably larger than one might assume. In the US there are different estimates on the number of students with disabilities -- one recent analysis gives a count of 8%. Using the classroom retrofitting analogy, it's not a question of building new, separate classrooms, but of changing classroom configurations to accommodate all users. It turns out that the mainstreaming approach ends up benefiting all users. The Web Accessibility Initiative What makes Web pages inaccessible? That all depends on the nature of the disability. Visually impaired users might need a much larger font, or a sharp contrast between background and foreground color. Color-blind users need to have color-transmitted information translated into distinguishable shades of gray or delineated in some other way. Blind users may be accessing Web pages using a screen reader, which uses speech synthesis to read the pages and may be confused by improperly coded pages. Physically impaired users might have difficulty in typing key combinations. Other users might need to navigate with a non-traditional input device. The W3C, the standards-setting body for the World Wide Web, has addressed these issues through its Web Accessibility Initiative (WAI), which issued a set of Web Content Accessibility Guidelines (version 1.0) in May, 1999. They were followed in 2000 by WAI guidelines for user agents and authoring tools. The WAI Content Guidelines include a list of checkpoints for evaluating Web pages for their degree of accessibility to people with physical, visual, hearing and cognitive/neurological disabilities. Each checkpoint is assigned one of three priority levels. Priority One are checkpoints which must be met to prevent lack of access for some groups of users. Compliance to Priority One checkpoints is known as Single-A conformance. Priority Two (Double-A conformance) are checkpoints which should be met to prevent difficulties in access for some users, and Priority Three (Triple-A conformance) are checkpoints which authors may satisfy to ensure good access for all users. The fact that there are three ordered levels of conformance allows Web site developers to focus first on eliminating the most serious barriers to accessibility. …
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,012 | 0,022 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,003 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,018 |
| Communication savante | 0,020 | 0,032 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,007 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,010 | 0,004 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».