After a decade of Virtual Learning Environments (VLE) in higher education, many teachers still use only a minimum of its affordances. This study looked at how academic staff interacted with a new and unknown VLE in order to understand how technology acceptance and support materials influence (perceived and actual) task performance. In an experimental design, 36 participants were split into a control (online help) and experimental (instructor video) condition and completed five common teaching tasks in a new VLE. In contrast to most Technology Acceptance (TAM) research, this study found that perceived usefulness of the VLE was not related to (perceived) task performance. Perceived ease of use was related to intentions and actual behaviour in the VLE. Furthermore, no significant difference was found between the two conditions, although the experimental condition led to a (marginal) increase in time to complete the tasks.
There is growing recognition that socio-constructivist representations of feedback processes, where students build their own understanding through engaging with and discussing feedback information, are more appropriate than cognitivist transmissionoriented models. In parallel, practice has developed away from hard-copy handwritten or typed feedback comments, towards the provision of e-feedback in Learning Management Systems (LMS). Through thematic analysis of activity-oriented focus groups with 33 Undergraduate students, the present study aimed to explore 1) students' experience of engaging with feedback in the LMS; 2) barriers to students' engagement; and 3) students' perceptions of the potential for technology to ameliorate these barriers. The data reveal particular barriers to engagement created by the LMS environment; grades and feedback are commonly separated spatially, limiting attention to the latter. Additionally, the distributed location of feedback from different tasks limits synthesis of feedback.Nevertheless, students perceived that the LMS environment affords opportunities for addressing such challenges, particularly in relation to the potential for a LMS tool to synthesise feedback information across modules, and to direct students to resources to develop their skills. The findings are discussed in the context of cycles of engagement with feedback, and implications for the principled use of technology in feedback processes are discussed.
Clinically, these results have implications for the development of sustained interventions for language and communication skills in community-based rehabilitation programmes. Creating supporting contexts may serve as an effective means of improving language and communication behaviours, while also facilitating optimum community inclusion.
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