The Role of Self-Efficacy and Perceived Enjoyment in Predicting Computer Engineering Students' Continuous Use Intention of Scratch

Arpacı, İbrahim; Durdu, Pınar Onay; Mutlu, Alev

doi:10.4018/ijea.2019070101

Cited by 7 publications

(3 citation statements)

References 35 publications

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“…Items from sections 3 to 5 were answered by using a five-point Likert scale where 1 indicated strongly disagree and 5 represented strongly agree. To improve reliability and validity of the research instrument, questions from prior studies such as [59], [60] were adapted. In addition, reliability was ensured by pretesting the questionnaire to 15 academic staff members.…”

Section: Data Collection Instrumentmentioning

confidence: 99%

Antecedents of Blackboard Adoption by Lecturers at a South African Higher Education Institution – Extending GETAMEL

Matarirano

Jere

Sibanda

et al. 2021

Int. J. Emerg. Technol. Learn.

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Learning Management Systems (LMS) have become central to the teaching and learning in Higher Education Institutions (HEI). The aim of this paper was to test the constructs of the General Extended Technology Acceptance Model for e-Learning (GETAMEL) and some selected constructs from the other Technology Acceptance Models (TAM) on adoption and use of Black-board LMS by lecturers at a selected university in South Africa. A cross sec-tional electronic survey was carried out to obtain data from 101 lecturers, who were conveniently sampled to express their perceptions on BLMS. Structural equation modelling, utilising SmartPLS3, was used to analyse the collected data. The results confirmed that behavioural intention (BI) influ-enced actual use whilst BI in turn was influenced by perceived usefulness (PU) and subjective norm (SN). Attitude was influenced by PU but had no significant effect on BI. The external factors that influenced perceived ease of use (PEOU) included perceived enjoyment (ENJOY), system self-efficacy (SE), and system anxiety (ANX) whilst PU was influenced by job relevance (JR) and PEOU. University management at the HEI under study should con-sider the determinants of SE, ENJOY and ANX if they need effective utilisation of Blackboard by the lecturers. The study findings imply that a LMS that is adopted and used is one that is considered useful, otherwise users will be reluctant to use it. The findings can assist HEIs in preparing their lecturers before implementation of any e-learning systems, such as training and technical support, thus, enhancing LMS adoption and utilisation. This study contributes to the body of knowledge on antecedents of LMS adoption and use. In addition, it establishes the applicability of GETAMEL in a South African university context.

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Section: Data Collection Instrumentmentioning

confidence: 99%

Antecedents of Blackboard Adoption by Lecturers at a South African Higher Education Institution – Extending GETAMEL

Matarirano

Jere

Sibanda

et al. 2021

Int. J. Emerg. Technol. Learn.

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show abstract

“…In this regard, Tsai et al (2014) showed that system self-efficacy can affect the PU and PEOU of telehealth systems. Similarly, Arpaci et al (2019) found that self efficacy has direct effect on the PEOU. Faqih (2013) examined consumer intention in Jordan and confirmed that the influence of Internet self-efficacy on PEOU was positive and that strong Internet self-efficacy affects PU positively with 99% confidence.…”

Section: Discussionmentioning

confidence: 89%

Employing the TAM in predicting the use of online learning during and beyond the COVID-19 pandemic

Zobeidi

Homayoon²,

Yazdanpanah³

et al. 2023

Front. Psychol.

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Online learning systems have become an applied solution for delivering educational content, especially in developing countries, since the start of the COVID-19 pandemic. The present study is designed to identify the factors influencing the behavioral intention of agricultural students at universities in Iran to use online learning systems in the future. This research uses an extended model in which the constructs of Internet self-efficacy, Internet anxiety, and output quality are integrated into the technology acceptance model (TAM). Data analysis was performed using the SmartPLS technique. The analyses showed the proposed model to be strong in terms of predicting the attitude to online learning and the intention to use it. The extended TAM model fit the data well and predicted 74% of the intention variance. Our findings show attitude and perceived usefulness to have directly affected intention. Output quality and Internet self-efficacy indirectly affected attitude and intention. Research findings can help with the design of educational policies and programs to facilitate education and improve student academic performance.

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“…In other words, it is expected that raising self-efficacy by differentiating the difficulty between Beginners and Challengers will increase effort expectancy, and that hedonic motivation is related to perceived enjoyment [49]. Arpaci and Durdu (2019) and Arpaci (2021) applied the Scratch language, which was taught to computer science students, to TAM, and found that perceived enjoyment had a statistical impact on attitude, and the parameter does have an impact on continuous use intention [50,51]. In particular, perceived enjoyment has the greatest impact on attitude, which makes it deeply related to existing research [19].…”

Section: Conclusion and Discussionmentioning

confidence: 99%

A Theoretical Framework for Analyzing Student Achievement in Software Education

Mun

2022

Sustainability

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Software education and its value are strongly emphasized among basic university courses in the era of the fourth industrial revolution. Numerous university students use the internet and various software in their daily lives. However, there is a lack of awareness on the necessity and value of software education. Therefore, a systematic software education methodology for university students is required. Moreover, an educational strategy that meets the needs of students is required to provide students with more efficient software education. This study aims to analyze the intention of using software among students and build a classification scheme for educational intentions to achieve educational objectives by establishing a strategy for software education. Therefore, this study presents a strategic framework for which a 2 × 2 matrix is proposed based on hedonic motivation and effort expectancy. We examine various aspects of its practical application, and derive improvements through focus group interviews. An empirical experiment was carried out in a basic Python programming class in order to find variables in the framework. The framework was verified in terms of three aspects: utility, convenience, and elasticity. The software education strategy framework developed in this study will help achieve educational goals and resolve efficiency issues in the software education field in the future.

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The Role of Self-Efficacy and Perceived Enjoyment in Predicting Computer Engineering Students' Continuous Use Intention of Scratch

Cited by 7 publications

References 35 publications

Antecedents of Blackboard Adoption by Lecturers at a South African Higher Education Institution – Extending GETAMEL

Antecedents of Blackboard Adoption by Lecturers at a South African Higher Education Institution – Extending GETAMEL

Employing the TAM in predicting the use of online learning during and beyond the COVID-19 pandemic

A Theoretical Framework for Analyzing Student Achievement in Software Education

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