This chapter provides context for the issues discussed throughout the book to justify why the issue of students with disabilities using technology to support their studies in higher education continues to be both important and problematic. To do this, the chapter: (1) reviews current statistics regarding enrollment and success of students with disabilities in higher education; (2) examines the role and prevailing use of

This article presents the results of two studies on the accessibility of e-learning materials and other information and computer and communication technologies for 143 Canadian college and university students with low vision and 29 who were blind. It offers recommendations for enhancing access, creating new learning opportunities, and eliminating obstacles.

The goal of this research was to develop a model to predict which students with disabilities will drop out before graduation and to investigate the drop out pattern of students with disabilities. To accomplish this we evaluated potential predictors of persistence and drop-out among 611 college and university students with various disabilities and developed a prediction model. We tested this model in a retrospective study using an independent sample of actual graduates (n = 133) and premature leavers (n = 39). Results show that the best predictors of academic persistence and dropout are the three Theory of Planned Behavior scales. These predicted 25% of the variance in intention to graduate and correctly classified 83% of participants who were no longer in school (86% of graduates and 74% of premature leavers). Path analysis showed linkages between demographic, academic performance, personality, self-efficacy, and college experience measures and the three Theory of Planned Behavior predictors. Key reasons for dropping out were: disability, health, finances, career direction uncertainty, inadequate disability accommodations, and lack of interest/motivation. A one-page questionnaire based on the Theory of Planned Behavior (i.e., Attitude, Subjective Norms, Perceived Behavioral Control) can add to the literature on predictors of intention to graduate, graduation and drop-out among college and university students with disabilities; this is enclosed in the Appendix.

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