The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform

Harja, Yuda Dian; Ambarwati, Rita

doi:10.13106/jafeb.2020.vol7.no10.481

Cited by 36 publications

(22 citation statements)

References 42 publications

(58 reference statements)

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“…Results showed that teachers' perceived ease of use of cloud services was influenced by facilitating conditions. Ambarwati et al [18] investigated convenience of using online learning platform (OLP) technology and the role of user habits in Indonesia, and results showed that factors influencing behavioral intention of online learning platform technology were significant.…”

Section: Conditional Hypothesismentioning

confidence: 99%

The Influence of E-learning Behavior on Students’ Learning Performance of Disaster Emergency Knowledge

Zou¹,

Shen²,

Dadparvar³

2022

Int. J. Emerg. Technol. Learn.

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E-learning has advantages of huge learning resources, enthusiastic learners, friendly interaction and flexible space-time, especially, the large-scale application of many new educational technologies makes e-learning possible. Based on the theory of deconstruction program behavior and task technology fit model, four assumptions of e-learning behavior’s influence on learning performance of students’ disaster emergency knowledge were put forward from two aspects, namely the individual factors (self-efficacy), information literacy and environmental factors (technical characteristics, and promote conditions), the PLS (partial least squares) method was used to carry out regression analysis of affecting factors. Results show that the Cronbach’s ɑ values of the questionnaire are all greater than 0.8, indicating that the measurement indexes have high reliability. AVE (average variance extracted) values of all latent variables are greater than the threshold level of 0.5, showing good aggregation validity. The square root of AVE value is greater than correlation coefficient of each latent variable, and the discrimination validity is good. Information literacy, technical characteristics and facilitation conditions have a positive and significant impact on learning performance of students adopting e-learning of disaster emergency knowledge. The conclusions provide practical suggestions and opinions for enriching the analysis of learning behavior under the e-learning environment, depicting the characteristics of students’ e-learning behavior.

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Section: Conditional Hypothesismentioning

confidence: 99%

The Influence of E-learning Behavior on Students’ Learning Performance of Disaster Emergency Knowledge

Zou¹,

Shen²,

Dadparvar³

2022

Int. J. Emerg. Technol. Learn.

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“…They do not care about the appearance of a good application, easy to use, or being influenced by other parties to use the application. This is reinforced by (Ambarwati, Harja, & Thamrin, 2020) who state that the availability of internet access and mobile devices greatly influences the desire to use online learning technology.…”

Section: Cross Loadingmentioning

confidence: 99%

User Acceptance of Data Informed Decision Making Portals: Application of the Utaut Model and Leadership Styles

Marzal

Bintana

Utomo

2021

JBSMR

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In general, to make decisions in the discipline of information systems are divided into two, namely Decision Support System (DSS) and Data Informed Decision Making (DIDM). DIDM is a data-driven decision-making process taking into account previous experience, user research, and other important information. Many applications are categorized as data-informed for universities, one of which is a portal that contains data or information about various aspects of a university. There are not many known factors that influence leaders to use informed data as a tool for making decisions. This study applies the UTAUT (Unified Theory of Acceptance and Use of Technology) model by adding a leadership style variable as a moderating variable. Hypothesis testing using the bootstrapping technique in this study involved a number of samples (N) of 300, testing for the two-tailed hypothesis, using a significance level of 5%. Based on the test results revealed only facilitating conditions that affect use behavior. Meanwhile, the variables of performance expectancy, effort expectancy, and social influence have no effect on behavioral intention to use the application. In addition, it was also found that the moderator variable of leadership style did not affect the relationship between performance expectancy, effort expectancy, social influence, and facilitating conditions with the intention and actual use of leaders in data informed applications to make decisions.

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“…Its teacher training system and teacher accumulation are far inferior to other countries. e severe shortage of teachers is the main obstacle to the development of international Chinese language education [10]. Although some universities and training institutions have adopted online teaching methods, most of them have problems such as backward network technology, difficulty in updating content, and insufficient appeal of online courses.…”

Section: Introductionmentioning

confidence: 99%

A ML-Based Efficient Chinese Teaching Platform Design and Implementation

Yao

2022

Wireless Communications and Mobile Computing

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With the development of emerging information technology, the online learning platform represented by “Internet + education” makes online learning a new way of learning. However, at present, most teaching platforms still cannot realize intelligent analysis and evaluation. This article mainly focuses on Chinese language teaching and designs a set of Chinese language teaching platform on the basis of fully studying the characteristics of Chinese language teaching and deep learning strategies. We tested the teaching platform through a series of experiments. A large number of test results show that the Chinese teaching platform designed in this article has a good performance in terms of participation and sense of acquisition, and about 79% of them scored above 3 points.

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The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform

Cited by 36 publications

References 42 publications

The Influence of E-learning Behavior on Students’ Learning Performance of Disaster Emergency Knowledge

The Influence of E-learning Behavior on Students’ Learning Performance of Disaster Emergency Knowledge

User Acceptance of Data Informed Decision Making Portals: Application of the Utaut Model and Leadership Styles

A ML-Based Efficient Chinese Teaching Platform Design and Implementation

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