Developing the Computer User Self-Efficacy (Cuse) Scale: Investigating the Relationship between Computer Self-Efficacy, Gender and Experience with Computers

Cassidy, Simon; Eachus, Peter

doi:10.2190/jgjr-0kvl-hrf7-gcnv

Cited by 343 publications

(370 citation statements)

References 14 publications

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“…The study is also limited in terms of limited sample information available. Individual differences such as previous experience using VLEs and computer and Internet user self-efficacy (Cassidy & Eachus, 2002;Eachus & Cassidy, 2006), approaches to learning and self-regulation (Cassidy, 2011) are likely to play a part in the efficacy of VLEs (Selim, 2007) and serve as examples of a range of potentially relevant factors that should be taken in to account in evaluation studies.…”

Section: Discussionmentioning

confidence: 99%

Virtual Learning Environments as Mediating Factors in Student Satisfaction with Teaching and Learning in Higher Education

Cassidy

2016

JCT

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Virtual learning environments (VLE) have become a standard feature of most courses in higher education, offering the potential to facilitate and improve teaching and learning. Whilst there is an implicit assumption that VLEs benefit student learning, much of the evidence originates from direct questioning of students about their satisfaction with the VLE itself. In order to establish the impact of VLEs on student satisfaction with teaching and learning in higher education, the present study gathered data from a sample of 128 undergraduate students using self-report module evaluation questionnaires (MEQs) completed before and after VLEs were introduced. MEQs were completed in relation one core (Research Methods) and one elected (Health Psychology) module. Results for the core module showed a marked increase in the percentage of students responding as extremely or very satisfied following the introduction of the VLE compared to the pre VLE period. There was also a fall in the percentage of students responding as neither satisfied nor dissatisfied. No clear or consistent change in student satisfaction was evident for the elected module. Improved communication and greater variety of teaching methods were reported by students post VLE for both the core and the elected module. Findings provide some support for the notion that VLEs mediate increased student satisfaction with teaching and learning in higher education, but that their impact may vary according to the course and the perceived utility of the VLE, pre-existing student satisfaction and the effectiveness with which VLEs are blended with traditional approaches to meet student expectations.

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Section: Discussionmentioning

confidence: 99%

Virtual Learning Environments as Mediating Factors in Student Satisfaction with Teaching and Learning in Higher Education

Cassidy

2016

JCT

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“…Messineo and DeOllos (2005) discovered differences by gender and race/ethnicity. Some studies found that males reported higher results than females (Cassidy & Eachus, 2002).…”

Section: Computer Knowledgementioning

confidence: 99%

“…Heinrichs and Lim (2010) examined users' perceived functional skills and competency in word processing and presentation tools. Cassidy and Eachus (2002) created a computer user self-efficacy scale, in part because CSE has been identified as a success factor for the completion of computing tasks. They noted that a significant positive correlation between CSE and computer experience could be established, and familiarity with computer software was a significant predictor of CSE while computer ownership and training increased efficacy.…”

Section: International Journal Of Learning and Developmentmentioning

confidence: 99%

A Study of Students Perceived Computer Knowledge

Ciampa

2013

IJLD

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Whereas several studies have examined a student's perceived computer skills or objective computer knowledge, few studies have investigated a student's perceived computer knowledge. Even though it may not always be accurate, a student's perceptions of their computer knowledge can nevertheless still be beneficial. This information may be helpful in revealing any predictors that can be identified for student success and can also be used to provide student support for achieving technological mastery. This study looks at the computer knowledge students see themselves possessing, with the purpose of determining if there are any associations between the perceived knowledge and the student's gender, age, use and knowledge of technology, employment status, and technology owned. The results of the study seem to indicate that there are a limited number of associations between gender and a student's knowledge of specific computer topics but no significant associations exist between knowledge and age, current employment status, use/knowledge of technology, and technology owned.

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“…PTD involves not only mastering technological skills and concepts, but also the ability to learn new ways of using computers in a creative and personally meaningful way (Committee on Information Technology Literacy 1999). Items were adapted from the computer-user self-efficacy scale developed by Cassidy and Eachus (2002) and the Computer Attitude Questionnaire developed by the Texas Center for Educational Technology. The PTD competence subscale used in this study includes six items for adults and three for children.…”

Section: Data Collectionmentioning

confidence: 99%

Project InterActions: A Multigenerational Robotic Learning Environment

Bers

2007

J Sci Educ Technol

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This paper presents Project InterActions, a series of 5-week workshops in which very young learners (4-to 7-year-old children) and their parents come together to build and program a personally meaningful robotic project in the context of a multigenerational robotics-based community of practice. The goal of these family workshops is to teach both parents and children about the mechanical and programming aspects involved in robotics, as well as to initiate them in a learning trajectory with and about technology. Results from this project address different ways in which parents and children learn together and provide insights into how to develop educational interventions that would educate parents, as well as children, in new domains of knowledge and skills such as robotics and new technologies.

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Developing the Computer User Self-Efficacy (Cuse) Scale: Investigating the Relationship between Computer Self-Efficacy, Gender and Experience with Computers

Cited by 343 publications

References 14 publications

Virtual Learning Environments as Mediating Factors in Student Satisfaction with Teaching and Learning in Higher Education

Virtual Learning Environments as Mediating Factors in Student Satisfaction with Teaching and Learning in Higher Education

A Study of Students Perceived Computer Knowledge

Project InterActions: A Multigenerational Robotic Learning Environment

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