Factors Associated with Device, Internet and Videoconferencing Use Amongst Individuals with Moderate-to-Severe Traumatic Brain Injury.

Videoconferencing (VC) has the potential to improve access to quality healthcare for individuals with traumatic brain injury (TBI) who require intensive and ongoing rehabilitation post-injury. Gaps in information and communication technology (ICT) use, access, and skills, however, may undermine equitable participation in remotely delivered healthcare and rehabilitation. This cross-sectional study sought to identify which demographic, injury-related, and psychological factors are associated with gaps in digital inclusion amongst individuals with a TBI. Between March 2020 and December 2023, 186 adults with a moderate-to-severe TBI who were aged 18-65 years and were within five years post-injury completed a range of self-report measures. The results demonstrated that most individuals with a moderate-to-severe TBI reported high levels of technology skills and access and used the internet from multiple devices daily. While injury severity was unrelated to technology use, this finding may reflect an overestimation of technology use amongst individuals with the most severe injuries, who were excluded from the study. Several demographic and psychological factors were found to predict VC readiness and are presented within a model to guide clinicians considering client suitability for VC rehabilitation. The current findings indicate that the use of VC in clinical settings following a moderate-to-severe TBI is feasible and suggest that individuals with a TBI may benefit from the greater provision of remotely delivered healthcare than is currently offered.

The effect of computer self-efficacy on the behavioral intention to use translation technologies among college students: Mediating role of learning motivation and cognitive engagement.

Amid an era of rapid globalization and technological advancement, translation technologies stand as valuable assets for college students to enhance accuracy and efficiency in the translation process. However, the adoption and acceptance of these technologies are contingent on several psychological factors, which are underexplored in the academic field. This study, populated by a cohort of 397 college students, employs a multiple-item questionnaire measuring computer self-efficacy, learning motivation, cognitive engagement, and the behavioral intention to utilize translation technologies. The collected data were analyzed through a Partial Least Squares-Structural Equation Modeling (PLS-SEM) approach. Results indicated that computer self-efficacy significantly correlated with learning motivation, cognitive engagement, and behavioral intention to use translation technologies. Learning motivation and cognitive engagement were identified as critical mediators; combined, they exhibited a chain mediating effect on the association between computer self-efficacy and the intention to adopt translation technologies. Untangling the intertwined influences of these psychological constructs provides profound implications for the stakeholders, including tertiary education institutions, educators, curriculum developers, and technologists, to design effective pedagogical strategies and technology platforms to enhance translation technology adoption. This will equip students to harness these technologies and create a conducive environment for them to thrive in a globalized and digitally interconnected world.

Medical and nursing students' satisfaction with e-learning platforms during the COVID-19 pandemic: Initial findings of an experimental project in China.

Satisfaction with learning management systems (LMSs) is an essential indicator of students' e-learning experiences and reflects the quality of e-learning. Applying the technology satisfaction model, the present study aimed to investigate medical and nursing students' satisfaction with LMSs and its predictors. We conducted our survey at a medical university located in East China and received a total of 329 effective responses. Structural equation modelling was used to analyse the data. Our findings confirmed that perceived ease of use and perceived usefulness were two direct predictors of medical and nursing students' satisfaction with LMSs. Furthermore, the influence of perceived usefulness on satisfaction was more powerful than that of perceived ease of use. This study also substantiated that computer self-efficacy and perceived ease of use can indirectly impact medical and nursing students' satisfaction with LMSs. Our research effectively links the theoretical hypotheses with empirical findings, highlighting the central role of Computer Self-Efficacy (CSE), perceived ease of use, and perceived usefulness in shaping medical and nursing students' satisfaction with LMSs. Our findings contributed to the understanding of the technology satisfaction model and medical and nursing students' e-learning during the COVID-19 pandemic.

Digital health and patient adherence: A qualitative study in older adults.

Introduction: Computer confidence and computer self-efficacy can impact an individual's perceived ease of use and usefulness of technology, ultimately determining adherence to digital healthcare services. However, few studies focus on assessing the impact of non-clinical factors on the efficacy and adherence to digital healthcare platforms. Objective: We aimed to analyse the role of non-clinical factors (i.e. computer confidence and computer self-efficacy) in the interaction experience (IX) and the feasibility of a digital neuropsychological platform called NeuroVRehab.PT in a group of older adults with varying levels of computer confidence. Methods: Eight older adults (70.63 ± 6.1 years) evaluated the platform, and data was collected using the Think-Aloud method and a semi-structured interview. Sessions were audio-recorded and analysed through an inductive-deductive informed Thematic Analysis protocol. This study was conducted according to the Consolidated Criteria for Reporting Qualitative Research guidelines. Results: Three main themes were identified (Interaction Experience, Digital Literacy, and Attitudes toward NeuroVRehab.PT). Computer anxiety and fear of making errors were not uncommon, even among older adults who perceive themselves as confident in technology use, and negatively impacted IX. Moreover, some game elements (e.g. three-star system, progression bar) were not intuitive to all participants, leading to misleading interpretations. On the other hand, human support and the platform's realism seemed to impact participants' IX positively. Conclusions: This study shed light on the barriers raised by non-clinical factors in adopting and using digital healthcare services by older adults. Furthermore, a critical analysis of the platform's features that promote user adoption is done, and suggestions for overcoming limitations are presented.

Achieving a successful e-government: Determinants of behavioral intention from Thai citizens' perspective.

From the COVID-19 pandemic, e-government is a crucial tool in managing crisis and coping with change through communication and collaboration between the government, private, and civil sectors. The objective of this study was to develop an e-government development success model from the perspective of Thai citizens using integrated multiple concepts and to examine factors affecting the behavioral intention of citizens in e-government. A sample is Thai people in all regions of Thailand (n = 540) and analyzes by Structural Equation Model (SEM). The hypothesis testing found that factors directly influencing behavioral intention were information quality, system quality, service quality, citizen satisfaction, perceived usefulness, computer self-efficacy, and trust in government. Trust in government was the most direct influencing factor and was the mediating variable between perceived privacy and perceived security leading to behavioral intention. The results will benefit governments in developing e-government to drive the digital economy and society further.

Factors influencing teachers' satisfaction and performance with online teaching in universities during the COVID-19.

The COVID-19 pandemic has significantly changed the teaching model, promoting educational institutions to initiate more explorations in online teaching. This study examines the factors influencing teachers' online teaching performance and satisfaction in universities during the COVID-19. We applied a model of technology acceptance (TAM), expectation confirmation (ECM), and computer self-efficacy (CSE) to develop a questionnaire. The survey was used to collect data from 347 teachers from 6 universities in eastern China to identify factors affecting teachers' performance and satisfaction during the COVID-19. The results indicated that teachers' performance of online teaching is significantly affected by satisfaction, perceived usefulness, and perceived ease of use of online teaching. Meanwhile, confirmation of online teaching expectations and computer self-efficacy significantly impacted teachers' satisfaction with online teaching. This work is an original empirical study guided by multiple theories. It contributes to the online education literature and provides advice regarding how teachers' online teaching satisfaction and performance can be developed in a situation like the one that occurred with COVID-19. This work also broadens the application of TAM and provides an alternative theoretical framework for future research on teachers' online teaching performance.

Students' continuance intention to use MOOCs: empirical evidence from India.

In recent years, there has been an increasing interest in understanding the Massive open online courses (MOOCs) due to its gaining popularity. Even though the number of online platforms and programs has grown during the COVID-19 pandemic, there is still a high rate of dropout and non-completion. In this work, the expectation-confirmation model is combined with MOOC features such as perceived openness, perceived reputation, and other factors i.e., perceived enjoyment, and perceived computer self-efficacy to investigate the learner's continued intention to use MOOC. A survey was undertaken and the data was collected from 383 students pursuing their degrees (undergraduate and post-graduate) in Karnataka state, India. The collected data were analyzed with structural equation modelling in Smart PLS 3. The study confirms a significant influence of confirmation and perceived usefulness on satisfaction, and direct significant influence of perceived computer self-efficacy, satisfaction, and perceived usefulness on continuance intention. Also, the results demonstrated the significant influence of confirmation on perceived enjoyment and usefulness and the effect of computer self-efficacy on usefulness. The findings in this study indicate that the MOOC platforms should focus on confirming learner expectations and the usefulness of courses to ensure student satisfaction and continuance of courses.

Exploring structural relations among computer self-efficacy, perceived immersion, and intention to use virtual reality training systems.

The use of virtual reality (VR) training systems for education has grown in popularity in recent years. Scholars have reported that self-efficacy and interactivity are important predictors of learning outcomes in virtual learning environments, but little empirical research has been conducted to explain how computer self-efficacy (as a subcategory of self-efficacy) and perceived immersion (as a correlate of interactivity) are connected to the intention to use VR training systems. The present study aims to determine which factors significantly influence behavioral intention when students are exposed to VR training systems via an updated technology acceptance frame by incorporating the constructs of computer self-efficacy and perceived immersion simultaneously. We developed a VR training system regarding circuit connection and a reliable and validated instrument including 9 subscales. The sample data were collected from 124 junior middle school students and 210 senior high school students in two schools located in western China. The samples were further processed into a structural equation model with path analysis and cohort analysis. The results showed that the intention to use VR training systems was indirectly influenced by computer self-efficacy but directly influenced by perceived immersion (ß = 0.451). However, perceived immersion seemed to be influenced mostly by learner interaction (ß = 0.332). Among external variables, learner interaction (ß = 0.149) had the largest total effect on use intention, followed by facilitating conditions (ß = 0.138), computer self-efficacy (ß = 0.104), experimental fidelity (ß = 0.083), and subjective norms (ß = 0.077). The moderating roles of gender differences, grade level, and previous experience in structural relations were also identified. The findings of the present study highlight the ways in which factors and associations are considered in the practical development of VR training systems.

Self-Efficacy in the Prediction of GPA and Academic Computer Use in Undergraduate Translation Students at a Saudi University.

Since the beginning of the COVID-19 pandemic, academic institutions have faced the challenge of understanding the social-psychological features that produce better academic performance among translation students in an online learning environment. Although self-efficacy is widely studied in a variety of teaching and learning models, few studies have examined self-efficacy in regard to translation students. This empirical study aims to examine the roles of general self-efficacy and computer self-efficacy in terms of the academic achievement and computer use of translation students during the COVID-19 pandemic. The participants included 83 undergraduate translation students at the English Language Department of Umm Al-Qura University, Saudi Arabia. They completed the General Self-Efficacy Scale and Computer Self-Efficacy Scale questionnaires. The results found self-efficacy scores were a significant predictor of overall GPA scores, highly predictive of computer self-efficacy, and also predicted an increased typing frequency and computer usage. This study suggests that translation students with greater levels of self-efficacy will be more likely to possess social-psychological features that align with the independent, self-directed nature of online learning environments.

Examine the parenting style effect on the academic achievement orientation of secondary school students: The moderating role of digital literacy.

The purpose of the study was to determine the association between parenting styles (authoritative and permissive) and students' self-efficacy (LSE), self-regulatory learning (SRL), and academic accomplishment orientation of secondary school students in Punjab, Pakistan. The study also investigated the effect of digital learning as a moderating variable in the relationship between SRL and academic achievement oriented, as well as between learner self-efficacy (LSE) and academic achievement among secondary school students. The study was conducted with (N = 720) secondary school students of Punjab Pakistan. In the current research cross sectional design was used, and multistage sampling was used to draw a sample from the population. The results from the study, it is found that the authoritative parenting style has a weak association with LSE and a strong association with SRL. Permissive parenting styles have low associations with SRL and have a high association with LSE as compared to authoritarian parenting. Furthermore, when compared to students from permissive parenting, secondary students from authoritarian parenting have higher SRL and a higher academic achievement orientation. Results revealed that that digital literacy significantly moderate with LSE to influence the academic achievement orientation, while digital literacy significantly interacts with SRL to highly influence the academic achievement orientation of secondary school students.

Antecedents of continuance intention in online learning systems among vocational college students: The moderating effect of gender.

Background: The primary objective of this study is to ascertain whether the Expectation Confirmation Model can be expanded by external variables including computer anxiety, social interaction, and self-efficacy to better understand the intention to continue using online learning systems in the post-pandemic era among vocational college students. Moreover, this research argues that the intention to continue using online learning systems among students may be gender-sensitive. Methods: The researchers surveyed 482 students from eight vocational colleges in Jiangxi Province using a structured questionnaire. Partial Least Squares Structural equation modeling is used to verify the research model. Results: The outcomes demonstrate that the proposed model adequately explains the continuous use intention for online learning systems at a 76.6% confidence level. All of the newly introduced variables in the ECM are shown to be significant and relevant to explicate continuous use intention. Our survey results show that gender differences in intention to continue using online learning systems exist objectively, but this difference is not a natural difference. Conclusion: This research fills a void in the current literature on online learning and probes into how learning may be made more long-lasting in intricate environments.

Investigating students' E-Learning attitudes in times of crisis (COVID-19 pandemic).

With the COVID-19 pandemic affecting the world, the vast majority of students in various educational institutions around the world have changed their learning styles from the physical classroom to digital learning education. Especially the fact that university students take their lessons with e-learning in times of crisis (COVID-19 pandemic) has forced them to spend more time with the computer. This situation will also affect their academic motivation. This research aimed to test whether the fear of contracting COVID-19 (CoVFC) had a moderating effect on the prediction of preservice teachers' academic motivation (AMOTV) with their computer self-efficacy perceptions (CSE). With a combined approach, a single model was employed to test the moderating role of CoVFC and the mediating role of Attitudes towards E-Learning (ATEL) in the prediction of preservice teachers' AMOTV with their CSE. 522 preservice teachers from 21 different branches participated in this research. As a result of the research, the CSE of preservice teachers were determined to predict their AMOTV significantly and positively. The increase in CoVFC was found to have a negative moderating effect on the prediction of AMOTV with the CSE of preservice teachers. Also, ATEL was found to have a partial mediating effect in the relationship between the CSE and AMOTV of preservice teachers.

Computer self-efficacy, knowledge, and use of technological pedagogical and content knowledge among faculty post-graduate students

Background@#Technology has been a vital part of the 21st-century classroom. Because of these fast-changing innovations, this study focused on the relationship between computer self-efficacy, knowledge, and use of Technological, Pedagogical, and Content Knowledge (TPACK). @*Objectives@#The study determined the perceived levels of computer self-efficacy and the perceived levels of knowledge (TPACK) among faculty members pursuing post-graduate degree programs, described the use of TPACK as reflected in their actual instructional designs, and determined the correlation between computer self-efficacy, knowledge, and use of TPACK.@*Methodology@#This study was conducted in one government graduate school in Manila, Philippines. The “Computer Self-efficacy Scale” developed by Teoh and Koh in 2010 was administered. TPACK was measured by administering the Survey of Preservice Teachers' Knowledge of Teaching and Technology by Schmidt et al. in 2009. @*Results@#Results showed that faculty members perceive that they have almost a high self-efficacy in terms of basic computer skills. In terms of TPACK, faculty members were observed to be only neutral in knowing technological knowledge. Correlations found were among the subconstructs of Computer Self-efficacy and the TPACK framework, although their relationship cannot be further explored due to limitations of data gathered. @*Conclusion@#Not all computer skills aid the learning experience. For example, results show that using skills like using word processors do not necessarily correlate with methods of teaching. It is recommended to perform a more in-depth analysis of the instructional designs and proficiency in web-based instructions to obtain correlations between constructs.

Survey data of internet skills, internet attitudes, computer self-efficacy, and digital citizenship among students in Indonesia.

Dataset provides wide measurement data on internet skills, internet attitudes, computer self-efficacy of the students related to the digital citizenship in Indonesia. Due to the pandemic of Covid-19, the survey was conducted online by considering the informant consent on assessing demographic information (7 items), internet skills (9 items), internet attitude (5 items), expertise and skills in using a computer (5 items), respect (6 items), educate (5 items), and protect (4 items), which was carried out from March to April. There were a total of 581 respondents selected through probability sampling based on random convenient sample from 12 public and private senior high schools which spread throughout 5 cities in Central Java, Indonesia. The survey data were analyzed using multivariate analysis and partial least structure with the analysis technique of Structural Equation Modelling (SEM). In the future, this data can help educators, researchers, and educational policy makers to determine the level of readiness of students' digital citizenship attributes and efforts to conduct further research on efforts to strengthen digital citizenship in curricular programs.

Digital Nativity, Computer Self-Efficacy, and Technology Adoption: A Study Among University Faculties in China.

Technology acceptance and usage become obligatory for people when their work modes change as a result of an unexpected but irresistible force. This is especially true for teachers who are reluctant technology adopters compared with their students. During the COVID-19 pandemic, the Chinese government issued national policies to enforce online teaching and learning. As the success of online teaching largely depends on university faculties' readiness and intentions, how they perceive and practice technology adoption becomes an issue that warrants in-depth research. Unlike their students who grow up with technology and can be seen as digital natives, university faculties may lack competence in using technology, whether to teach or do other tasks. Previous studies on faculties' technology adoption were all conducted in situations where they made volitional decisions to use technology, but their mandatory technology use received scant attention. In addition, although studies suggested that teachers demonstrated features of digital natives, it remains unknown whether or to what extent their digital nativity correlates with technology intentions. To address these research gaps, the current study examined Chinese university faculties' intentions to use technology for online teaching by incorporating digital nativity and computer self-efficacy as key determinants into technology acceptance variables. Results suggested that digital nativity was a key factor that affected university faculties' online teaching, as evidenced by the fact that 67% of the variance could be explained by perceived usefulness, attitudes and digital nativity. In addition, it was also found that computer efficacy significantly influenced perceived ease of use.

Factors Influencing the Behavioural Intention to Use Cryptocurrency in Emerging Economies During the COVID-19 Pandemic: Based on Technology Acceptance Model 3, Perceived Risk, and Financial Literacy.

Cryptocurrency could redefine the interplay of Internet-connected world markets by eliminating constraints set by traditional local currencies and exchange rates. It has the potential to revolutionise digital markets through the use of duty-free trading. This study investigates the factors which influence the behavioural intention to use cryptocurrency based on the Technology Acceptance Model 3 (TAM 3) during the COVID-19 (SARS-COV-2) pandemic. Data were collected through a cross-sectional questionnaire from 357 Pakistani business-educated adults, including investors who had a rudimentary understanding of the technology and financial instruments. Partial least square (PLS)-based structural equation modeling (SEM) was used to test the developed theoretical framework based on the Technology acceptance model 3. The PLS model has explained 72.1% of what constitutes the behavioural intention to use cryptocurrency. Surprisingly, risk was not a major consideration. This might be due to the fact that the majority of respondents thought working with cryptocurrency was hazardous. Willingness to handle cryptocurrency risk, on the other hand, might be a stumbling block to acceptance. The most essential aspect of a cryptocurrency's success was the perceived usefulness. Moreover, the moderating role of experience was not substantiated in this study. However, perceived usefulness was identified as a partial mediator of subjective norm and the perceived ease to use. This study contributed to the literature through the application of TAM 3 (an extension of the technology acceptance models) to investigate the fundamental qualities a cryptocurrency should have in order to influence investor's behavioural intention to use it. These findings provide revolutionary insights for the present and future market players for investment planning and for improved cryptocurrencies development.

Patient willingness to undergo a two-week free trial of a telemedicine service for coronary artery disease after coronary intervention: A mixed-methods study.

AIM: To understand the factors affecting willingness to use telemedicine in patients with coronary artery disease after coronary intervention. BACKGROUND: Telemedicine is a relatively new service provided to discharged patients in Taiwan, therefore, public acceptance is low. METHOD: This mixed-methods study conducted between January and June 2014 used convenience sampling. In total, 140 patients were offered a two-week free trial of telemedicine services before hospital discharge. Participants completed structured questionnaires and answered semi-structured qualitative questions related to willingness to use telemedicine services. RESULTS: Patients' willingness to use telemedicine was not significantly correlated with experience using technology, perceived ease of use or computer self-efficacy; instead, it was based on trust in the hospital staff, opinions of the staff and ongoing support from the case manager. Reasons for their lack of willingness to use the service were mainly related to diseases, technology/equipment and environmental factors. CONCLUSION: Staff support through telephonic tracking and real-time feedback can increase willingness to use telemedicine. IMPLICATIONS FOR NURSING MANAGEMENT: Case managers can collect necessary personal information and offer the patients 24-hr services as a monitor, an instructor and a companion, thereby accommodating more patients, building value and strengthening telemedicine services.

The role of self-efficacy, flexibility, and gender in pharmacy students' health information technology readiness.

INTRODUCTION: Pharmacy students' characteristics and attitudes towards health information technology (HIT) may influence their willingness to learn, adopt, and utilize technology in healthcare settings. Future pharmacists will play a key role in the successful implementation of HIT, yet their technology readiness is not well understood. The goal of this study was to understand pharmacy students' attitudes regarding HIT and identify personal characteristics and psychosocial factors that predict their readiness to use HIT in future clinical practice. METHODS: Using an anonymous online survey, data were collected from 148 pharmacy students. Linear regression modeling was used to determine if gender, flexible thinking, and openness to using technology, and technology self-efficacy were associated with students' readiness to utilize HIT tools in future clinical practice. RESULTS: Regression modeling successfully explained 15% of the variance in predicting students' readiness to utilize HIT tools: F(3, 144) = 8.31, p < 0.001 with an R2 of 0.148 (adj R2 = 0.13). Greater information technology self-efficacy, more openness to change (in academic/work settings), and being male were associated with readiness to utilize HIT. CONCLUSIONS: With the increased adoption of HIT in pharmacy practice, innovative approaches to HIT education are needed. Curricula that help students overcome obstacles to embracing technology may now be warranted. With enhanced training and engagement involving more than just didactic lessons, pharmacy students may not only feel confident in their ability to embrace HIT in future practice but feel professional satisfaction, increasing the likelihood for improved patient care and health system sustainability.

Factors affecting engagement of primary health care professionals and their patients in facilitated access to online alcohol screening and brief intervention.

OBJECTIVE: Understanding the impact of Level of Information and Communication Technology Use, computer self-efficacy and perceived product usability of healthcare professionals regarding an alcohol consumption reduction website on facilitated access defined as referring patients to the webpage. METHODS: 52 nurses and 41 general practitioners were assessed before patient recruitment started, using a questionnaire designed to assess socio-demographic characteristics, professional engagement to the website, Level of Information and Communication Technology Use, Computer self-efficacy ("the judgment of one's capability to use a computer") and Perceived product usability ("the extent to which a product can be used by specified users to achieve specified goals with effectiveness, efficiency, and satisfaction in a specified context of use"). Dependent variable was the self-report of number of brochures distributed to patients. RESULTS: Professionals' engagement with facilitated access measured by brochures handed out was not predicted by Perceived product usability, Level of Information and Communication Technology Use or Computer self-efficacy. Professionals who had actively engaged with the website (customization) provided significantly more brochures compared with those who had not (Coefficient B 15.7 CI95% 3.5-27.8). Professional's socio-demographic characteristics did not predict engagement in facilitated access. CONCLUSION: Professionals' Perceived product usability, Level of Information and Communication Technology Use and Computer self-efficacy were not associated to facilitated access. Active early engagement of health professionals with the website (customization) is a key predictor of subsequent engagement with facilitated access. PRACTICE IMPLICATIONS: Computer Self-Efficacy, Level of Information and Communication Technology Use and Perceived Product Usability are irrelevant for facilitated access and efforts should be focused on taking time to collaborate with providers and convincing them about the usefulness of the intervention (including customization). Website customization by health care professionals is a promising predictor of engagement.

Autoeficácia no uso do computador em situações de aprendizagem: uma análise da literatura internacional / Self-efficacy in computer use in learning situations: a review of the international literature / La autoeficacia en el uso del computador en situaciones de aprendizaje: un análisis de la literatura internacional

Este trabalho apresenta uma revisão da literatura sobre a autoeficácia no uso do computador (AEC) e tem como objetivos analisar e comparar definições e escalas adotadas pelos autores e examinar os principais resultados dessas pesquisas. Autoeficácia no uso do computador refere-se à crença que um indivíduo tem sobre a sua própria capacidade de usar com sucesso o computador e seus recursos. Esse conceito é importante em estudos sobre educação e treinamento, pois tem se mostrado correlacionado positivamente com aprendizagem, transferência de treinamento, atitudes e nível de participação de estudantes e trabalhadores em cursos presenciais e a distância mediados por computador. A revisão da literatura abrangeu textos científicos publicados entre 1998 e 2011 em revistas com corpo editorial e revisão por pares, encontradas no PsycINFO, Web of Science, BVS Psicologia ULAPSI Brasil e Scielo. Foram analisados 30 artigos que aplicaram escalas de avaliação de AEC. Os estudos mostraram que: as escalas avaliam apenas força, uma das três dimensões de autoeficácia propostas por Bandura (1986); não há distinção clara entre autoeficácia específica e geral; AEC está correlacionada positivamente com importantes resultados como aprendizagem e atitudes de participantes de cursos que adotam computadores no ensino. Ao final do artigo é proposta uma agenda de pesquisa para aprimorar medidas de AEC e investigar a relação dessa variável com aprendizagem, ansiedade ou estresse vivenciado por aprendizes, atitudes de aceitação ou rejeição de tecnologias no uso de computadores e novas tecnologias de informação e comunicação (NTICs).

This study presents a review of the literature on "Computer Self-Efficacy" (CSE) and has the objective to: analyze and compare definitions and scales that have been adopted by the authors and analyze the main results of these studies. Computer Self-Efficacy refers to the belief that an individual has about his/her own ability to use a computer and its resources successfully. CSE is important in studies on education and training since it has proven to be positively correlated with learning, transfer of training, attitudes, and levels of participation of students and workers in face-to-face as well as distance courses taught through the use of computers. The review of the literature included articles published between 1998 and 2011 in peer reviewed journals found in PsycINFO, Web of Science, BVS Psicologia ULAPSI Brasil, and Scielo. Thirty articles that use CSE scales were analyzed. The studies indicate that: the scales only evaluate strength, one of the three dimensions of self-efficacy proposed by Bandura (1986); there is no clear distinction between specific and general self-efficacy; CSE is positively correlated with important results such as learning and participants' attitudes in courses that use computers for teaching. At the end of the article, an agenda for future research is proposed to improve measures of CSE and better investigate the relationship of this variable with learning, anxiety, and stress experienced by learners, and to investigate attitudes of acceptance or rejection of technologies with the use of computers and NICTs (New Information and Communication Technologies).

El presente trabajo presenta una revisión de la literatura sobre la "autoeficacia en el uso del computador" (AEC). Tiene como objetivos: analizar y comparar las definiciones y las escalas adoptadas por los autores y analizar los principales resultados de estas investigaciones. La auto-eficacia en el uso del computador se refiere a la creencia que una persona tiene acerca de su propia capacidad en utilizar correctamente el computador y sus recursos. AEC es importante en los estudios sobre educación y formación, dado que se ha demostrado una correlación positiva con el aprendizaje, la transferencia del entrenamiento, las actitudes y el nivel de participación de los estudiantes y de los trabajadores en cursos presenciales y a distancia, mediada por ordenador. La revisión de la literatura incluyó textos científicos publicados entre 1998 y 2011 en revistas con comisión de editores y de revisión por pares, encontradas en las bases PsycINFO, Web of Science, Psicología BVS ULAPSI Brasil, Scielo. Se analizaron 30 artículos que aplicaron escalas de evaluación de AEC. Los estudios han demostrado que: las escalas evalúan apenas la fuerza, una de las tres dimensiones de la auto-eficácia propuestas por Bandura (1986); no hay una distinción clara entre la autoeficacia especifica y general; la AEC se correlaciona positivamente con resultados importantes como el aprendizaje y las actitudes de los participantes de cursos que adoptan computadores en la enseñanza. Al final del artículo se propone una agenda de investigación para mejorar las medidas de AEC e investigar más profundamente la relación de esta variable con el aprendizaje, la ansiedad o el estrés experimentado por los alumnos, las actitudes de aceptación o rechazo de las tecnologías en el uso de las computadoras y las NTIC.