scholarly journals Modeling Teacher Supports Toward Self-Directed Language Learning Beyond the Classroom: Technology Acceptance and Technological Self-Efficacy as Mediators

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaoquan Pan ◽  
Wei Chen

This study explored the contributions of teacher supports toward students’ self-directed language learning beyond the classroom and investigated whether technology acceptance and technological self-efficacy could be the mediators between teacher supports and students’ self-directed language learning in a sample of Chinese undergraduate students. A total of 197 freshmen students in one university in Eastern China participated in the questionnaires concerning teacher supports, technology acceptance, technological self-efficacy and self-directed language learning. The study highlighted the results: (1) perceived usefulness mediated the relationship between teacher affective supports and students’ self-directed language learning as well as the relationship between teacher capacity supports and students’ self-directed language learning; (2) technological self-efficacy mediated the relationship between teacher affective supports and students’ self-directed language learning as well as the relationship between teacher behavior supports and students’ self-directed language learning; and (3) perceived easy of use had no noticeable mediating functions, but exerted an indirect influence on students’ self-directed language learning. These findings extended previous researches by considering both the external factors (i.e., teacher supports) and the internal factors (i.e., technology acceptance and technological self-efficacy) of influencing students’ self-directed language learning, thereby contributing to enhancing our understanding of the joint drive of the inherent and extrinsic power mechanisms. This study indicated the significance of elevating teachers’ awareness of the substantial supports in enhancing students’ self-directed language learning beyond the classroom and would inform that the future research on teachers’ compliance in relation to technology use be converted from institutional mandates into teachers’ conscientious behaviors.

2021 ◽  
pp. 003329412199778
Author(s):  
Maria Manolika ◽  
Rigas Kotsakis ◽  
Maria Matsiola ◽  
George Kalliris

Increasing consensus among information systems researchers suggests that personality accounts for the effective use of several technologies, yet less is known about the process through which personality affects user perceptions of technology acceptance. This study, therefore, examined whether personality is associated with student perceptions of audiovisual technology acceptance, and whether general self-efficacy mediates this association. In total, 244 students completed an online survey including measures of personality, general self-efficacy, and perceptions of audiovisual technology acceptance. Canonical correlation uncovered significant associations between personality and student beliefs about technology use. Results further revealed that general self-efficacy fully mediated the effects of openness to experience and neuroticism on Perceived Ease of Use, whereas the association between agreeableness and Perceived Usefulness was partially mediated by self-efficacy beliefs. The fact that personality influences students’ perceptions of technology acceptance both directly and indirectly should not remain unnoticed, especially when designing intervention programs to enhance their academic performance.


2021 ◽  
Vol 11 (1) ◽  
pp. 114
Author(s):  
Ariela Giladi ◽  
Meni Koslowsky ◽  
Nitza Davidovitch

English language skills are considered of great value in the labor market and in the field of research. As such, learning English as a Foreign Language (EFL) becomes of great importance, especially for foreign students and employees working in international settings. The goal of the present study was to explore students’ self-efficacy in language learning (LSE), in contrast with general self-efficacy (GSE) and effort (EF) as predictors of students’ reading comprehension performance in English. Moreover, we hypothesized that effort mediates the relationship between LSE and reading comprehension performance. We explored the EFL learners who enrolled in academic English courses during a period of three months, one academic semester. Using a longitudinal design, at Time 1, the sample of 265 participants completed three questionnaires: GSE, LSE and EF scales. At Time 2, reading comprehension test was given to the participants who had completed the questionnaires previously. Results indicated that LSE, in contrast with GSE, is positively correlated with reading comprehension performance. Furthermore, the data showed that LSE is positively correlated with effort, and that effort is positively correlated with reading comprehension performance. Findings revealed that effort mediates the relationship between LSE and reading comprehension performance. Thus, our study contributes to the development of more effective teaching methods and provides EFL teachers the necessary tools to predict and enhance students’ achievements in the field. Implications and limitations for future research are discussed.


2021 ◽  
Vol 12 ◽  
Author(s):  
Chen Zhao ◽  
Lei Zhao

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.


Author(s):  
Khondker Mohammad Zobair ◽  
Louis Sanzogni ◽  
Luke Houghton ◽  
Kuldeep Sandhu ◽  
Md Jahirul Islam

This study investigates health seekers’ acceptance and adoption determinants of telemedicine services in a rural public hospital setting in an emerging economy using an adapted, extended Technology Acceptance Model. The present study pursued synthesising a plethora of existing literature and contextualised the significance of seven broad categories of potential determinants that significantly affect patients’ acceptance and adoption intentions: perceived usefulness, perceived ease of use, self-efficacy, service quality, privacy and data security, social influence, and facilitating conditions. The partial least square structural equation modeling technique was employed to test the conceptual model and research hypotheses. A cross-sectional survey was administered among 500 telemedicine users in randomly selected rural and remote areas of Bangladesh. Excluding self-efficacy and ease of use, five determinants expressively contributed to patients’ acceptance of telemedicine adoption, explaining 65% of the variance (R2) in behavioural Intention. The empirical findings have the quality of rigour obtained from rich data sets in health informatics and can contribute to build telemedicine into an institutionalised health infrastructure in Bangladesh and similar settings. Pertinent implications, limitations and future research directions were recommended to secure the long-term sustainability of telemedicine healthcare projects.


Author(s):  
Timothy Teo ◽  
Xitao Fan ◽  
Jianxia Du

<p>This study examined possible gender differences in pre-service teachers’ perceived acceptance of technology in their professional work under the framework of the technology acceptance model (TAM). Based on a sample of pre-service teachers, a series of progressively more stringent measurement invariance tests (configural, metric, and scalar invariances, as well as latent mean difference) were conducted. Practically, the findings revealed that, while the gender groups showed no statistical difference on <em>perceived usefulness</em>, <em>attitudes toward technology</em>, <em>intention to use technology</em>, female pre-service teachers had lower scores on <em>perceived ease of use</em>, suggesting that technology use is more challenging for female pre-service teachers than for their male counterparts. Technically, the findings provided support for full configural and metric invariance, and for partial scalar invariance. Discussions about the findings and their practical implications concerning teacher training are provided. Future research directions are also suggested.</p><p> </p>


2019 ◽  
Vol 5 (2) ◽  
pp. 191
Author(s):  
Stanley Karouw ◽  
Benefit Narasiang ◽  
Jane Litouw

Penelitian ini bertujuan untuk mengetahui tingkat kepuasan pengguna dan manfaat dari penggunaan OpenSID yang ditujukan kepada perangkat kelurahan. Kerangka kerja yang digunakan dalam penelitian ini yaitu  Technology Acceptance Model sebagai alat untuk mengukur penerimaan kelayakan suatu teknologi. Technology Acceptance Model menggunakan 7 indikator yaitu self efficacy (kemanjuran diri), complexity (kerumitan), lack of time (keterbatasan waktu), perceived usefulness (manfaat yang dirasakan), perceived ease of use (kemudahan pengguna), behavioral intention of use (minat perilaku pengguna), actual technology use (penggunaan teknologi sesungguhnya). Penelitian ini melakukan analisis penerimaan OpenSID di area rural dan di area urban. Untuk area pedesaan maka dilakukan di 8 (delapan) desa yang berada di kecamatan Modoinding, yakni desa Sinisir, desa Makaaroyen, desa Palelon, desa Kakenturan, desa Pinasungkulan, desa Linelean dan desa Wulurmahatus. Untuk area urban, dilakukan di 9 kelurahan yang berada di wilayah kecamatan Amurang Barat dan Amurang; yakni kelurahan Kawangkoan-bawah, kelurahan Rumoong-bawah, kelurahan Buyungon, kelurahan Ranoiapo, kelurahan Uwuran 1, kelurahan Uwuran 2, kelurahan Lewet dan kelurahan Bitung. Hasil pengukuran menunjukkan bahwa perangkat desa dan aparat kelurahan yang pernah menggunakan OpenSID  mengakui bahwa OpenSID dapat membantu aparat untuk mendapatkan informasi yang tepat. Meskipun diakui bahwa OpenSID memberikan manfaat dalam tugas dan pekerjaan, namun membutuhkan waktu yang lama dalam mempelajari OpenSID.Kata kunci— Desa, Kelurahan, OpenSID, Model Penerimaan Teknologi


2012 ◽  
Vol 24 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Pamela E. Carter ◽  
Jason Bennett Thatcher ◽  
Katherine M. Chudoba ◽  
Kent Marett

Due to its extensive use for the study of information technology adoption and use, the Technology Acceptance Model (TAM) serves as an ideal base model for the study of post-acceptance IT diffusion outcomes. The research presented in this paper incrementally builds on TAM-based research to gain meaningful insights into the potential differences individuals’ exhibit in three types of diffusion outcomes in a post-acceptance context. The authors model and test the effects of perceived usefulness and perceived ease of use on intentions to use, intentions to explore, and trying to innovate – IT diffusion outcomes proposed as vital in a post-acceptance context. In addition to TAM predictive variables, the authors investigate how autonomy, a personal control factor, and subjective norms, a social factor, influence individuals’ intentions toward and behaviors associated with technology use. The findings suggest cognitive intention outcomes are more likely to be influenced by technology-related factors, while behavioral outcomes are more likely to be influenced by social and personal control factors in post-acceptance contexts. Implications of the study for practice and future research are also discussed.


2017 ◽  
Vol 57 (1) ◽  
pp. 83-105 ◽  
Author(s):  
Fang Huang ◽  
Timothy Teo ◽  
Mingming Zhou

This article explores Chinese English as a Foreign Language (EFL) teachers’ attitudes toward technology use and the factors that influence their technology acceptance. A qualitative study was conducted with data obtained from semistructured, in-depth interviews of 14 university teachers from six provinces. The interview data revealed that Chinese EFL teachers generally maintained a positive attitude toward technology use in teaching. Facilitating conditions driven by modernization, perceived usefulness, subjective norm, and technology mania are major factors influencing their technology acceptance. It is worth noticing that the degree of reliance on technology varied in terms of age and experience. Overall, the findings were consistent with previous studies, while leading to a broader and deeper understanding of technology acceptance theories by analyzing contextual and cultural phenomenon in China. Implications for future research and suggestions to improve Continuing Professional Development were provided in order to promote technology integration among Chinese teachers.


Author(s):  
Japneet Kaur ◽  
Sawraj Kaur ◽  
Amanjot Singh Syan ◽  
Rishi Raj Sharma

The purpose of this study is to investigate the factors that shape behavioural intentions of customers towards the adoption of payment banks in India. The conceptual framework of study is based upon integration of technology acceptance model with initial trust, facilitating conditions and social influence. Further, the study tests the moderating role of age, income and self-efficacy on the relationships between dependent variable and associated predicted variable. A total of 507 responses were collected from the state of Punjab (India), using convenient sampling technique and were analysed using the structural equation modelling (SEM). The results revealed that perceived ease of use had the highest impact on the behavioural intentions, followed by initial trust and social influence. Facilitating conditions and perceived usefulness showed lower impact on the behavioural intentions towards the adoption of payment banks. Also, moderation analysis revealed that self-efficacy moderates the relation of perceived ease of use and perceived usefulness with behavioural intentions. Results imply that marketers should collaborate with developers to provide the customers with easy-to-operate solutions along with robust customer support mechanism to escalate the adoption intention of those having lower self-efficacy levels.


Author(s):  
Bijita Devkota ◽  
Fernando Montalvo ◽  
Daniel S. McConnell ◽  
Janan A. Smither

eHealth applications are expected to improve the effectiveness and efficiency of healthcare systems by providing improved medical information flow between medical providers and patients. Although the technology is expected to empower patients, lower treatment costs, and provide real-time collection of health data, individuals may be apprehensive about the use and efficacy of eHealth technologies. Medical professionals are often unaware of human factors technology acceptance or usability models which impact the use of medically focused technology, such as eHealth applications. Similarly, human factors professionals are often unaware of treatment adherence models which map the relationship of illness factors and individual differences to treatment protocols. The present paper presents a theoretical approach through which technology acceptance and usability models should be combined with medical treatment adherence models to ensure that eHealth applications are used properly and effectively.


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