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Volume Two - Academic Conferences

Volume Two - Academic Conferences

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Adelua Olajide Olawole and Maruff Akinwale Oladejo<br />

Asuncion, Chwojka, Barile, Nguyen, Klomp, & Wolforth 2009) maintained that the increased use of<br />

these technologies and the recent developments in adaptive software and hardware have enabled<br />

students with disabilities to participate in, and do things that used to be difficult or impossible for them.<br />

For example, it has allowed people who are blind to read using text-to-speech technology, people<br />

who are deaf to communicate using chat programs, and people with difficulties using their hands or<br />

arms to write and communicate using dictation software (Fichten, Asuncion, Barile, Fossey, & De<br />

Simone 2000).<br />

(Burgstahler 2003) lists the benefits of implementing these technologies for students with disabilities<br />

as follows:<br />

Maximizes independence in academic and employment tasks;<br />

Increases participation in classroom discussions;<br />

Helps students gain access to peers, mentors and role models;<br />

Helps them self-advocate;<br />

Provides them with access to the full range of educational options;<br />

Helps them participate in different experiences not otherwise possible;<br />

Provides them with the opportunity to succeed in work-based learning experiences;<br />

Secures high levels of independent living;<br />

Prepares them for transitions to college and careers;<br />

Gives them the opportunity to work side-by-side with peers;<br />

Helps them enter high-tech career fields; and<br />

Encourages them to participate in community and recreational activities.<br />

1.1 Electronic learning defined<br />

In reference to (Homan & Macpherson 2005), the emergence of eLearning is well documented,<br />

however , what constitutes eLearning is less well defined. Be that as it may, (Homan & Macpherson<br />

2005) described the term “eLearning” to cover any electronic learning material from CD-ROMs on<br />

stand alone Personal Computers (PCs) to intranet/internet networked systems with downloadable and<br />

interactive material. According to (Hall & Snider 2000), eLearning is the process of learning via<br />

computers over the Internet and Intranets. In general, e- learning is defined as the use of Internet and<br />

digital technologies to create experiences that educate fellow human beings (Horton 2001). However,<br />

it was (Jackson 2001), who categorized eLearning into two namely: “technology-enhanced<br />

eLearning”, in which technology is used as a supplement to traditional on-campus learning, and<br />

“technology-delivered eLearning”, which is related with distance education.<br />

1.2 Psycho-social factors and eLearning<br />

Students with disabilities are faced with some psychological cum social hindrances , capable of<br />

preventing them from participating and gaining fully in electronic learning environment. For them to be<br />

able to fit in properly, they are expected to have positive attitudes towards eLearning and be<br />

technologically confident. For this reason, determining these types of psychological characteristics of<br />

students with disabilities is extremely important to be able to assist them in their academic work in<br />

electronic environment.<br />

(Saade & Kira 2009) argued that in the context of eLearning, a student’s ‘likelihood of use of a specific<br />

system such as the Learning Management System (LMS)) is jointly determined by several psychosocial<br />

factors among which is their attitude toward using the system. The need to investigate the<br />

attitudes of SWDs is highly consequential. This is because attitude has been seen as a mental state<br />

that exerts influence on a person's response to people, objects and situations, Shannon (in Olaoye,<br />

2005). (Ajzen and Fishbein 1980) maintained that attitudes are positive or negative evaluations of<br />

object, people, or situation that predispose one to feel and behave toward them in positive or negative<br />

ways. Measuring attitudes therefore, has a vital role in analyzing behaviour because it has been<br />

established that there is a strong correlation between attitude and behaviour (Bertea 2009). In the<br />

context of e-environment, a favourable attitude of academics shows a greater probability that they will<br />

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