Technology Adoption in Online Tutorial

Rahardjo, Djoko; Bintarti, Arifah

doi:10.4018/978-1-5225-5201-7.ch032

Cited by 2 publications

(2 citation statements)

References 9 publications

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“…The technology acceptance model (TAM) theory is used to find the relationship between TAM variables and attitudes toward E-Learning with the help of using principal component analysis (PCA). Rahardjo (2018) identifies the relationship between E-Learning technology and readiness for adoption in terms of online classes that increase student enrollment rates. Student adoption or acceptance level used in the learning process is based on the technology through the online classes.…”

Section: Existing Iot Based E-learning System In Heismentioning

confidence: 99%

Factors Influencing the Adoption of IoT for E-Learning in Higher Educational Institutes in Developing Countries

et al. 2022

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The internet of things (IoT) is an emerging paradigm of educational applications and innovative technology in the current era. While capabilities are increasing day by day, there are still many limitations and challenges to utilizing these technologies within E-Learning in higher educational institutes (HEIs). The IoT is well-implemented in the United States of America (USA), United Kingdom (UK), Japan, and China but not in developing countries, including Saudi Arabia, Malaysia, Pakistan, Bangladesh, etc. Few studies have investigated the adoption of IoT in E-Learning within developing countries. Therefore, this research aims to examine the factors influencing IoT adoption for E-Learning to be utilized in HEIs. Further, an adoption model is proposed for IoT-based E-Learning in the contexts of developing countries and provides recommendations for enhancing the IoT adoption for E-Learning in HEIs. The IoT-based E-Learning model categorizes these influencing factors into four groups: individual, organizational, environmental, and technological. Influencing factors are compared along with a detailed description in order to determine which factors should be prioritized for efficient IoT-based E-Learning in HEIs. We identify the privacy (27%), infrastructure readiness (24%), financial constraints (24%), ease of use (20%), support of faculty (18%), interaction (15%), attitude (14%), and network and data security (14%), as the significant E-Learning influencing factors on IoT adoption in HEIs. These findings from the researcher's perspective will show that the national culture has a significant role in the individual, organizational, technological, and environmental behavior toward using new technology in developing countries.

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Section: Existing Iot Based E-learning System In Heismentioning

confidence: 99%

Factors Influencing the Adoption of IoT for E-Learning in Higher Educational Institutes in Developing Countries

et al. 2022

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“…Student views of ease to use online tutorials are relatively weak in predicting students intention utilizing the technology. The extent of students readiness in the usage of Online Tutorials illustrates that student motivations and the expectations of successes in utilizing online tools were the utmost strong indicators (Rahardjo, 2018).…”

Section: The Relationship Between E-learning Readiness and Intention To Usementioning

confidence: 99%

Exploring E-Learning Readiness as Mediating between Trust, Hedonic Motivation, Students’ Expectation, and Intention to Use Technology in Taibah University

Ayasrah¹

2020

JESP

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E-learning has become progressively eminent in higher education, and universities have increased provisions and many students are registering. This paper scrutinizes the factors which predict students' intention to use technology at the Taibah University. To understand the kind of these factors might help Saudi Arabia universities to promote the usage of information and communication technology in teaching and to learn. This research scrutinised the mediating effect of e-learning readiness on the association between factors affecting intention to use university technology namely, trust, hedonic motivation and students' expectation at Taibah University. The study provided details of the findings in every theme highlighted and described the relationships between the factors, using one single model. This study also conducted a comprehensive review of the literature and presented quantitative findings on the intention to use from Saudi Arabia. Based on the findings, there is a positive and significant relationship between trust, hedonic motivation, students' expectation and intention to use, with the mediating role of e-learning readiness. This paper offers a synthesis of the proof e-learning willingness in higher education which add to effective e-learning implementation.

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Technology Adoption in Online Tutorial

Cited by 2 publications

References 9 publications

Factors Influencing the Adoption of IoT for E-Learning in Higher Educational Institutes in Developing Countries

Factors Influencing the Adoption of IoT for E-Learning in Higher Educational Institutes in Developing Countries

Exploring E-Learning Readiness as Mediating between Trust, Hedonic Motivation, Students’ Expectation, and Intention to Use Technology in Taibah University

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