This study was based on previous research that investigated the disparity or gap between those who have access to computers and the Internet and those who do not (Hoffman and Novak, 1998; NTIA, 1999b; Carey, Chisholm and Irwin, 2002; Vail, 2003 Zeliff, 2004; Glenn, 2005). The Technology Acceptance Model developed by Davis, Bagozzi, and Warshaw (1989) was used to investigate whether computer and Internet access influenced the acceptance of e-learning technology tools such as Blackboard and the Internet. Of the studies conducted concerning adoption of these technologies, a limited number have addressed the extent to which college students accept these tools. The majority of these studies failed to consider computer access as a factor regarding computer technology acceptance. The E-Learning Technology Acceptance (ETA) survey instrument was administered to business students at two universities in North Carolina. Hierarchical regression was performed to test whether or not computer and Internet access explained variance above and beyond race and socioeconomic status. Regression analysis revealed that computer and Internet access affected the degree to which students expect Blackboard and the Internet to be easy to use. As a result, creating a technology assessment to be utilized by e-learning educators and students to measure the level of computer and Internet access was recommended. The analyses also revealed that computer and Internet access significantly impacted students' attitude toward using Blackboard and the Internet. Improving the level of technology access should be addressed to promote positive attitudes regarding e-learning tools. Additional findings revealed that socioeconomic status and race did influence computer ownership. A suggestion for educators is to explore initiatives that assist low income and minority students with obtaining home computers. Finally, the findings suggested that closing the digital divide is not enough to ensure technology acceptance of students. The researcher proposed that digital inclusion should be the goal of our society. Recommendations for further research suggested by the researcher included investigating other variables that may influence technology acceptance and computer and Internet access. / Ph. D.

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Natural spoken language is full of disfluency. Around 10% of utterances produced in everyday speech contain disfluencies such as repetitions, repairs, filled pauses and other hesitation phenomena. The production of disfluency has generally been attributed to underlying problems in the planning and formulation of upcoming speech. However, it remains an open question to what extent factors known to affect the selection and retrieval of words in isolation influence disfluency production during connected speech, and whether different types of disfluency are associated with difficulties at different stages of production. Previous attempts to answer these questions have largely relied on corpora of unconstrained, spontaneous speech; to date, there has been little direct experimental research that has attempted to manipulate factors that underlie natural disfluency production. This thesis takes a different approach to the study of disfluency production by constraining the likely content and complexity of speakers utterances while maintaining a context of naturalistic, spontaneous speech. This thesis presents evidence from five experiments based on the Network Task (Oomen & Postma, 2001), in addition to two related picture-naming studies. In the Network Task, participants described to a listener the route of a marker as it traverses a visually presented network of pictures connected by one or more paths. The disfluencies of interest in their descriptions were associated with the production of the picture name. The experiments varied the ease with which pictures in the networks could be named by manipulating factors known to affect lexical or pre-lexical processing: lexical access and retrieval were impacted by manipulations of picture-name agreement and the frequency of the dominant picture names, while visual and conceptual processing difficulty was manipulated by blurring pictures and through prior picture familiarisation. The results of these studies indicate that while general production difficulty does reliably increase the likelihood of disfluency, difficulties associated with particular aspects of lexical access and retrieval have dissociable effects on the likelihood of disfluency. Most notably, while the production of function word prolongations demonstrates a close relationship to lexical difficulties relating to the selection and retrieval of picture names, filled pauses tend to occur predominantly at the beginning of utterances, and appear to be primarily associated with message-level planning processes. Picture naming latencies correlated highly with the rates of observed hesitations, establishing that the likelihood of a disfluency could be attributed to the same lexical and pre-lexical processes that result in longer naming times. Moreover, acoustic analyses of a subset of observed disfluencies established that those disfluencies associated with more serious planning difficulties also tended to have longer durations, however they do not reliably relate to longer upcoming delays. Taken together, the results of these studies demonstrate that the elicitation of disfluency is open to explicit manipulation, and that mid-utterance disfluencies are related to difficulties during specific production processes. Moreover, the type of disfluency produced is not arbitrary, but may be related to both the type and location of the problem encountered at the point that speech is suspended. Through the further exploration of these relationships, it may be possible to use disfluency as an effective tool to study online language production processes.