Problem of Trust in e-Learning Environment

Petrov, Vladislav; Miloslavskaya, Nаtalia; Gorbatov, Victor Sergeevich; Durakovskiy, Anatoliy P.

doi:10.5220/0005477604240429

Cited by 3 publications

(6 citation statements)

References 7 publications

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“…Trust means a subjective expectation that someone or something is reliable and willing to accept vulnerability (Chen, 2015). Arguably, trust has been largely discussed over the prior literature as a mechanism adopted by individuals to mitigate the concerns expected in using a new system (Chen, 2015;Hong and Cha, 2013;Gao and Bai, 2014;Rauniar et al, 2014;Amaro and Duarte, 2015;Chang et al, 2015;Petrov et al, 2015;Bokhari et al, 2015;Alalwan et al, 2016). The absence of human interaction between the user and service provider leads the users to perceive more risks in using such systems (Rauniar et al, 2014).…”

Section: Trustmentioning

confidence: 99%

Factors influencing students’ adoption of e-learning: a structural equation modeling approach

Tarhini

Masa’deh

Al‐Busaidi

et al. 2017

JIEB

238

202

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Purpose This research aims to examine the factors that may hinder or enable the adoption of e-learning systems by university students. Design/methodology/approach A conceptual framework was developed through extending the unified theory of acceptance and use of technology (performance expectancy, effort expectancy, hedonic motivation, habit, social influence, price value and facilitating conditions) by incorporating two additional factors, namely, trust and self-efficacy. Data were collected from students at two universities in England using a cross-sectional questionnaire survey between January and March 2015. Findings The results showed that behavioral intention (BI) was significantly influenced by performance expectancy, social influence, habit, hedonic motivation, self-efficacy, effort expectancy and trust, in their order of influencing the strength and explained 70.6 per cent of the variance in behavioral intention. Contrary to expectations, facilitating conditions and price value did not have an influence on behavioral intention. Originality/value The aforementioned factors are considered critical in explaining technology adoption but, to the best of the authors’ knowledge, there has been no study in which all these factors were modeled together. Therefore, this study will contribute to the literature related to social networking adoption by integrating all these variables and the first to be tested in the UK universities.

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Section: Trustmentioning

confidence: 99%

Factors influencing students’ adoption of e-learning: a structural equation modeling approach

Tarhini

Masa’deh

Al‐Busaidi

et al. 2017

JIEB

238

202

View full text Add to dashboard Cite

show abstract

“…The items were adapted from [60] for validation and a Cronbach"s alpha value of 0.82 for usefulness suggests good internal consistency. Ease of use is the measurement of how easy the finished product is to be used by its intended users [38,53]. This variable was enquired through items like "The application is simple to use" and "I can use the application without written instructions".…”

Section: Data Analysis and Resultsmentioning

confidence: 99%

“…The items were adapted from [60] for validation and a Cronbach"s alpha value of 0.88 suggests good internal consistency. Satisfaction is the fulfillment of a need [38]. Here, it determines whether the application satisfies the teen users or not.…”

Section: Data Analysis and Resultsmentioning

confidence: 99%

“…The items were adapted from [60] for validation and a Cronbach"s alpha value of 0.91 suggests good internal consistency. Compatibility is the capacity of different components of a system to work together without having to be altered to do so [38]. Here, it investigates whether the application is compatible with teens or not.…”

Section: Data Analysis and Resultsmentioning

confidence: 99%

“…They also proposed an evaluation model based on user confidence and their ability to provide reliable e-learning services. In addition, a trusted cloud-based approach was proposed to assess the subjective trust of users in [38], along with a capacity matrix method to assess the objective trust of users. Further, Dwivedi et al [39] argued that elearning recommender systems (ELRSs) have risen as the most basic mechanism to convey customized learning assets to students.…”

Section: B Trust In E-learningmentioning

confidence: 99%

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A Collaborative Method for Protecting Teens Against Online Predators Over Social Networks: A Behavioral Analysis

et al. 2020

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Online social networks have gained ubiquitous popularity in the last decade but despite the advantages, they have also raised privacy concerns for users. Many people have lost their jobs, relationships, and are stalked because of online privacy breaches. This situation is even more disturbing for young teens as they are in the process of learning emotional, social, and physical behaviors. Online predators take advantage of their immaturity and raise various threats to teens including aggression, rape, abduction, physical and emotional sadistic torture, and even human trafficking. Teens, on the other hand, do not have any mechanism to protect them against such threats. Therefore, this research addresses this overlooked need and proposes a trust model for the teen community, which can evaluate the trustworthiness of a stranger based on teens" psychological and social needs. This paper first identifies various factors of teen psychology from literature, and then proposes a trust model for teens based on those factors. The model ensures the trustworthiness of a stranger through a two-dimension matrix consists of his reputation in other teens and reliability. The proposed model was simulated through colored Petri nets and implemented as a real-time trust evaluation application over Facebook. A user acceptance testing was also performed by teens, which suggests that 81.77% of teens were overall satisfied with the proposed approach.

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Exploring the Determinants Affecting the Students’ Engagement with Online Learning: A Preliminary Investigation

Hassan

Nika

2021

Studies in Systems, Decision and Control

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Problem of Trust in e-Learning Environment

Cited by 3 publications

References 7 publications

Factors influencing students’ adoption of e-learning: a structural equation modeling approach

Factors influencing students’ adoption of e-learning: a structural equation modeling approach

A Collaborative Method for Protecting Teens Against Online Predators Over Social Networks: A Behavioral Analysis

Exploring the Determinants Affecting the Students’ Engagement with Online Learning: A Preliminary Investigation

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