A longitudinal examination of computer self-efficacy change trajectories during training

Kher, Hemant V.; Downey, James P.; Monk, Ellen

doi:10.1016/j.chb.2013.02.022

Cited by 21 publications

(20 citation statements)

References 35 publications

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“…Varma and Marler, 2013;Pontiggia and Virili, 2010;Kher et al, 2013;Sun and Jeyaraj, 2013). The reported longitudinal researches demonstrate changes in technology perceptions in a timeframe of a few months to less than two years, which does not directly support the assessment of influences over a long period in a population.…”

Section: Time Influence On Technology Perceptionsmentioning

confidence: 72%

“…Personal characteristics, such as functional ability, influence perceived behavioural control and ease of use, which define an individual's ability to adapt new technology to the routines of daily life (Hu et al, 2003;Kher et al, 2013;Kim and Glassman, 2013;Sintonen and Immonen, 2013;Chang et al, 2015a, b). The studies focusing on long-term use of computers have found that the evolution of technology causes similar outcomes as the rate of natural age-related physical and cognitive impairments increase, regardless of an individual's prior experiences, skills or abilities (Hanson, 2011;Harper et al, 2011).…”

Section: Time Influence On Technology Perceptionsmentioning

confidence: 99%

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Evolution of technology perceptions over time

Immonen

Sintonen

2015

Information Technology &Amp; People

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Evolution of technology perceptions over time Mika Immonen Sanna Sintonen Article information:To cite this document: Mika Users who downloaded this article also downloaded: (2015),"Information disclosure of social media users: Does control over personal information, user awareness and security notices matter?", Information Technology & People, Vol. 28 Iss 3 pp. 426-441 http://dx.(2015),"Enacting technology: Accounting for the interplay between mHealth solutions and existing paper-based data reporting practices", Information Technology & People, Vol. 28 Iss 3 pp. 442-465 http://dx.If you would like to write for this, or any other Emerald publication, then please use our Emerald for Authors service information about how to choose which publication to write for and submission guidelines are available for all. Please visit www.emeraldinsight.com/authors for more information. About Emerald www.emeraldinsight.comEmerald is a global publisher linking research and practice to the benefit of society. The company manages a portfolio of more than 290 journals and over 2,350 books and book series volumes, as well as providing an extensive range of online products and additional customer resources and services.Emerald is both COUNTER 4 and TRANSFER compliant. The organization is a partner of the Committee on Publication Ethics (COPE) and also works with Portico and the LOCKSS initiative for digital archive preservation. AbstractPurpose -As the information society further develops, electronic services are created and physical distribution networks become sparse, it is important to analyse the determinants that inhibit or facilitate the ability to use these services. By focusing on the perceived behavioural control of computers, the purpose of this paper is to analyse how perceived physical restrictions, computer anxiety and ease of use influence the perceptions of control. Design/methodology/approach -The authors examined older consumers (aged 60-79) in two cross-sectional studies conducted through mail surveys in 2004 and 2012. Randomized samples (n ¼ 1,000 in 2004 and n ¼ 3,000 in 2012) were drawn from the Finnish Population Register. The empirical research utilized structural equation modelling through multi-group analysis to explore the differences in the interrelationships between physical restrictions, computer anxiety, perceived ease of use and perceived behavioural control. Findings -The results indicate that perceived behavioural control is directly influenced by ease of use and indirectly influenced by physical restrictions and computer anxiety. The eight-year time gap moderated only the relationship between physical restrictions and ease of use. Development seems to have been favourable, and device-related restrictions do not decrease ease of use as much as previously reported. Originality/value -The present study starts a new discussion on how time moderates the relationship of technology perceptions in behavioural models that have been used to predict behavioural intent.

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Section: Time Influence On Technology Perceptionsmentioning

confidence: 72%

Section: Time Influence On Technology Perceptionsmentioning

confidence: 99%

Evolution of technology perceptions over time

Immonen

Sintonen

2015

Information Technology &Amp; People

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“…Computer Self-Efficacy (CSE) is an individual's belief in their ability to be competent in using technology [2]. Selfefficacy derives from the Theory of Behavioral Change (TBC) [3], which is defined as a self-perception of the ability to achieve a particular activity [4]. Computer self-efficacy has to deal with judgments of an individual's ability to use a computer.…”

Section: Introductionmentioning

confidence: 99%

Impact Analysis of System Support toward Computer Self-Efficacy and Effectiveness of User Performance

Pratama¹,

Mardi²,

Mukaromah³

2018

Proceedings of the International Conference on Science and Technology (ICST 2018)

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Humans create systems that must support human achievement in the use of new application technologies to the user capabilities, and characteristics of the technology can be used optimally for the accomplishment of objectives. Availability of a support system is recognized as an essential aspect which affects the level of computer self-efficacy of someone in the use of technology. Computer self-efficacy has a role in the decision to use the technology and make it easier to process skills that are related to the effectiveness of the use of technology. This study aims to determine the impact of system support on the level of computer self-efficacy to improve the efficacy in the use of new application technologies. The result of this study provide that the system supports significant and impact positively on the level of computer self-efficacy and effectiveness in the use of new application technologies. The results of the study can be used as an additional reference for software developers to focus on developing functions of assistance and computer simulations to improve self-efficacy and effectiveness in the use of new applications. Development system support is expected to help to optimize the resources (time, money, and human).

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“…Informed by the findings of this study regarding the differences of students' cognitive and metacognitive strategies based on their CSE, researchers can create any intervention to improve cognitive and metacognitive strategies of students with low CSE. Research suggests that CSE and self-regulation skills can be trained (Coutinho, 2008;Kher, Downey, & Monk, 2013). Experimental study can be conducted to see whether modified ILMs can improve either CSE or cognitive and metacognitive strategies.…”

Section: Recommendations For Future Studiesmentioning

confidence: 99%

High and Low Computer Self-Efficacy Groups and Their Learning Behavior from Self-Regulated Learning Perspective While Engaged in Interactive Learning Modules

Santoso¹,

Lawanto²,

Becker³

et al. 2014

Journal of Pre-College Engineering Education Research (J-PEER)

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The purpose of this research was to investigate high school students' computer self-efficacy (CSE) and learning behavior in a selfregulated learning (SRL) framework while utilizing an interactive learning module. The researcher hypothesizes that CSE is reflected on cognitive actions and metacognitive strategies while the students are engaged with interactive learning modules. Two research questions guided this research: (1) how is students' CSE while engaged in interactive learning modules? and (2) how do high and low CSE groups plan and monitor their cognitive action, and regulate their monitoring strategies based on their CSE level? The research used a mixedmethods approach to answer the research questions.This study utilized a SRL framework that covered self-efficacy, cognitive actions, and metacognitive components. While self-efficacy was represented by CSE, metacognitive component was represented by planning, monitoring, and regulating strategies. Cognitive actions represent contextual activities while using interactive learning modules. One hundred students from two high schools, InTech Collegiate and Logan High Schools, completed activities in this study. Each student worked on three modules, namely Boolean Logic, Minimum Spanning Tree, and Modeling Using Graphs. Three different forms of data were gathered for analysis. These data included questionnaires, screen captured videos, and audio recordings of interviews.The findings of this study revealed that the students achieved the highest average score on beginning skills compared to advanced skills and file and software skills for their CSE. Furthermore, screen-captured video analysis showed that there were different profiles of cognitive actions and metacognitive strategies between high and low CSE groups in terms of the strategy changes and duration of their strategies. Issues gathered from interview analysis between these two groups were also elaborated.

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A longitudinal examination of computer self-efficacy change trajectories during training

Cited by 21 publications

References 35 publications

Evolution of technology perceptions over time

Evolution of technology perceptions over time

Impact Analysis of System Support toward Computer Self-Efficacy and Effectiveness of User Performance

High and Low Computer Self-Efficacy Groups and Their Learning Behavior from Self-Regulated Learning Perspective While Engaged in Interactive Learning Modules

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