scholarly journals Exploring the Factors Affecting Mobile Learning for Sustainability in Higher Education

2021 ◽  
Vol 13 (14) ◽  
pp. 7893
Author(s):  
Ali Mugahed Al-Rahmi ◽  
Waleed Mugahed Al-Rahmi ◽  
Uthman Alturki ◽  
Ahmed Aldraiweesh ◽  
Sultan Almutairy ◽  
...  
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Learning ◽  
Behavioral Intentions ◽  
Intention To Use ◽  
Actual Use ◽  
Students Attitudes ◽  
Acceptance Model ◽  
Educational Sustainability

Mobile learning (M-learning) has become an important instructional technology component in higher education. The goal of this research is to determine how Malaysian university students use M-learning in higher education. The technology acceptance model (TAM) concept was used to construct a theoretical model of M-learning acceptability. In theory, five independent criteria were discovered as contributing to the actual usage of M-learning for educational sustainability by influencing students’ attitudes towards M-learning and their intention to use it. A questionnaire survey based on the technology acceptance model (TAM) was used as the primary data collection technique, with 200 students from UTHM University of Malaysia participating. The data were analyzed using SPSS and Structural Equation Modeling (SEM-Amos). The results of the students’ attitudes towards using M-learning and their behavioral intentions to use M-learning show a beneficial impact on the actual use of M-learning as well as the long-term sustainability of M-learning in higher education. In addition, both male and female students were satisfied with perceived usefulness, perceived ease of use, perceived enjoyment, attitude towards use, task-technology fit, behavioral intention to use, perceived resources and actual use of mobile learning for educational sustainability. This study contributes to the validation of the extended TAM for M-learning by demonstrating that the predicted model predicts students’ attitudes towards using M-learning and their behavioral intentions in Malaysian higher education.

Applying the Technology Acceptance Model to Measure the Learning Management System Acceptance by Students of Politeknik Sakti Surabaya

2015 ◽  
Vol 72 (4) ◽  
Author(s):  
Uce Indahyanti ◽  
Sukarjadi Sukarjadi
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Management System ◽  
Learning Management System ◽  
Ease Of Use ◽  
Intention To Use ◽  
Perceived Ease Of Use ◽  
Actual Use ◽  
Learning Management ◽  
Acceptance Model

The purpose of this study is to measure factors that influence students’acceptance of a Learning Management System (LMS) using the Technology Acceptance Model (TAM). LMS is an information system that facilitates e-learning that serves to process, store, disseminate learning materials and provides administrative support and communication related to the teaching and learning process. Support students as users of the LMS content are one of the success factors in the implementation of the LMS. This study uses the Technology Acceptance Model (TAM), which has five factors namely perceived usefullness, perceived ease of use, attitudes towards to use, behavioral intention to use and actual use. A set of questionnaires have been completed by 60 students in Politeknik SAKTI Surabaya. Data were processed using SmartPLS and analyzed using the Structural Equation Modeling–Partial Least Square (SEM-PLS) method. The results showed that the TAM was valid, reliable, and substantially acceptable based on the results of data evaluation, ie the indicator factor loading > 0.5, the t-statistic ≥ 1.96, the cronbach alpha ≥ 0.6, and the value of the goodness of fit  = 0.47. The factors that influence students’acceptance of a LMS in Politeknik SAKTI Surabaya are perceived usefullness, perceived ease of use, and attitudes towards to use, affecting the intention to use, and significantly affect the actual use of LMS.

scholarly journals Acceptance Measurement of Health Insurance Information System Based on Technology Acceptance Model

2018 ◽  
Vol 14 (2) ◽  
pp. 254-263
Author(s):  
Siti Nurhayati ◽  
Nurul Hidayat
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Ease Of Use ◽  
Intention To Use ◽  
Moderate Correlation ◽  
External Variables ◽  
Actual Use ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The objective of this research is to evaluate P-Care BPJS information system based on Technology Acceptance Model (TAM). The type of research is analytical, cross sectional approach. Number of respondents 206 P-Care BPJS users at primary health care. Data analysis using linear regression. Based on correlation test external variables with percieved usefulness, showed high correlation = 0.6 (p <0.001); external variables with percieved ease of use showed moderate correlation = 0.4 (p <0.001); perceived ease of use with attitude showed moderate correlation = 0.5 (p <0.001); percieved usefulness with attitude showed high correlation = 0.7 (p <0.001); perceived usefulness with actual use showed moderate correlation = 0.5 (p <0.001); behavioral intention to use with percieved usefulness showed moderate correlation = 0.5 (p <0.001); attitude with behavioral intention to use showed high correlation = 0.6 (p <0.001); behavioral intention to use with actual use showed high correlation = 0.7 (p <0.001).

scholarly journals An Empirical Study of Factors Driving the Adoption of Mobile Learning in Omani Higher Education

2016 ◽  
Vol 17 (4) ◽  
Author(s):  
Mohamed Sarrab ◽  
Ibtisam Al Shibli ◽  
Nabeela Badursha
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Learning ◽  
Learning Technologies ◽  
Ease Of Use ◽  
Driving Factors ◽  
Just In Time ◽  
Short Supply ◽  
Acceptance Model

<p class="2">Mobile learning (M-learning) provides a new learning channel in which learners can access content and just in time information as required irrespective of the time and location. Even though M-learning is fast evolving in many regions of the world, research addressing the driving factors of M-learning adoption is in short supply. This article focuses on the driving factors in adoption of M-learning and the learner’s perceptions and willingness towards M-learning adoption. Technology Acceptance Model (TAM) has been shown to be a valid and powerful model in mobile and other learning technologies research. Based on Technology Acceptance Model theory, this paper analyzes the influencing factors on M-learning adoption and measure the acceptance of M-learning in Oman. The data collected from 806 participants in 17 different Omani higher education institutions using a survey questionnaire. Some factors of perceived innovative characteristics, such as ease of use, usefulness, enjoyment, suitability, social, and economic were found to have more influence on learners’ adoption of M-learning which help to facilitate and promote future empirical research. This effort is part of funded research project that investigate the development, adoption, and dissemination of M-learning in Oman.</p>

scholarly journals INTENSI DAN PENGGUNAAN E-MONEY DI PONTIANAK DENGAN MODERASI FAKTOR SOSIAL DAN BUDAYA

2020 ◽  
Vol 19 (3) ◽  
pp. 377-394
Author(s):  
Irawan Wingdes ◽  
I Dewa Ayu Eka Yuliani
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Factors ◽  
Cultural Factors ◽  
Intention To Use ◽  
Research Model ◽  
Model Data ◽  
Actual Use ◽  
Acceptance Model ◽  
Social And Cultural Factors

Penelitian ini bertujuan untuk menyelidiki intensi dan penggunaan e-money di Pontianak karena beberapa kali implementasi mengalami kegagalan. Model penelitian mengutilisasi faktor sosial dan budaya yang diekstensikan dengan Technology Acceptance Model. Data dikumpulkan dengan survei pada sampel 280 responden selama tiga bulan dan dianalisis dengan metode SEM. Hasil menunjukkan adanya pengaruh faktor Kegunaan terhadap Niat Menggunakan dan Penggunaan Riil. Pengaruh moderasi dari sosial dan budaya dieksplorasi dan hasil dibahas lebih jauh dalam artikel. This research was aimed to explain intention and actual use of e-money in Pontianak due to several failed attempts by local government. Research model employed social and cultural factors extended to Technology Acceptance Model. As much as 280 data was collected with survei method for three months period at refueling station. Data was analized with SEM method. Results showed strong correlation of usefulness with intention to use and actual use. Moderated relationships of cultural and social factors were also explored and discussed further in article.

scholarly journals How Augmented Reality Could Improve the Student’s Attraction to Learn Mechanisms

Electronics ◽  
2021 ◽  
Vol 10 (2) ◽  
pp. 175
Author(s):  
Răzvan Gabriel Boboc ◽  
Rareș-Lucian Chiriac ◽  
Csaba Antonya
Keyword(s):  
Augmented Reality ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Basic Field ◽  
Students Attitudes ◽  
Acceptance Model ◽  
High Technologies

Mechanics, along with electronics, is a basic field for the development of high technologies. However, learning mechanics is not an easy task. To meet and adapt to the requirements of students in the digital age, teachers must provide them significant ways to incorporate the latest technologies and applications for their studies. In this study, we explored the application of augmented reality (AR) to improve the learning of the science of Mechanisms. An AR application was implemented and developed for Android-based devices, followed by a qualitative experiment conducted with a sample of 116 students. The study was based on the technology acceptance model and the students’ attitudes towards learning in AR environments were assessed using the structural equation modeling. The results showed that the didactic potential of this application is promising, which is highlighted by the positive attitude about using the application, as well as by the high values obtained for intention to use.

scholarly journals Analysis of Students Factors Influencing the Integration of E-Learning in Higher Education. Case Study:University of Tetovo

2018 ◽  
Vol 2 (2) ◽  
pp. 90
Author(s):  
Gazmend Xhaferi ◽  
Rovena Bahiti ◽  
Arta Farizi
Keyword(s):  
Higher Education ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Student Attitudes ◽  
Partial Least Square ◽  
Least Square ◽  
Tam Model ◽  
E Learning ◽  
Students Attitudes ◽  
Acceptance Model

E-Learning is an Important tool for delivery, interaction, and facilitation of both teaching and learning processes in higher education. The purpose of this paper is the investigation of students attitudes about the use of ICT and integration of e-learning at the University of Tetovo. This study also examines the factors contributing to students attitudes towards E-Learning as well as identifying the important factors to its successful integration. The conceptual research framework of e-learning integration, which is used in the analysis, is based on the technology acceptance model (TAM). The research developed an extended TAM model (Technology Acceptance Model for E-learning) for predicting the intention to integrate E-Learning using the constructs of the TAM. Statistical analysis was conducted to assess student attitudes towards integrationof e-learning, and to analyses the relationships between their attitudes and their demographic characteristics, Perception about ICT,ICT experience and ICT Competence that predict the integration of e-learning. Questionnaire was used to collect data from a sample of 314 undergraduate students from different program studies. Statistical techniques are used for the analyses of data. Factor analysis was used to validate the instrument, however; the partial least square method was used to test the model for the study, moreover; stepwise regression analysis were used to test the hypotheses of the study. The findings indicate that students have an important role in prediction of the integration of E-Learning in University of Tetovo. The reported findings might be of interest to institution, academics administrators, and decision-makers involved in planning, developing and implementation of e-learning in University of Tetovo and similar universities in developing countries.

E-service quality and actual use of e-banking: Explanation through the Technology Acceptance Model

2019 ◽  
Vol 36 (4) ◽  
pp. 503-519
Author(s):  
Sheraz Ahmad ◽  
Sabeen Hussain Bhatti ◽  
Yujong Hwang
Keyword(s):  
Service Quality ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intentions ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Actual Use ◽  
Technological Developments ◽  
Acceptance Model

Due to recent technological developments in banking, the use of e-banking is becoming increasingly widespread. This study explored the effect of e-service quality on actual use of e-banking services and explained it through the Technology Acceptance Model. A survey was conducted in Pakistan and 493 questionnaires were collected from e-banking users and the data was analyzed using AMOS 20 and SPSS 20. The results of the study indicate that e-service quality positively affects perceived usefulness, perceived ease of use and intention to use e-banking and perceived usefulness positively affects attitude towards using e-banking and behavioral intentions to use e-banking. Perceived ease of use affects attitudes towards e-banking and attitudes positively affect behavioral intentions to use e-banking and behavioral intentions further positively affect actual use of e-banking. The sequential mediation of attitude and intention has been confirmed between e-service quality and actual use of e-banking. This study has significance for the managers of banking industry and will enable them to influence the attitude of customers in favor of their services and also help them devise strategies to improve their profitability.

scholarly journals The Influence of Information System Success and Technology Acceptance Model on Social Media Factors in Education

2021 ◽  
Vol 13 (14) ◽  
pp. 7770
Author(s):  
Ali Mugahed Al-Rahmi ◽  
Alina Shamsuddin ◽  
Uthman Alturki ◽  
Ahmed Aldraiweesh ◽  
Farahwahida Mohd Yusof ◽  
...  
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Intention To Use ◽  
Information System Success ◽  
System Success ◽  
Acceptance Model ◽  
Behavioral Intention To Use

The current study explores the students’ behavioral intention to use social media and actual social media use in higher education, specifically the perception of their academic performance and satisfaction. The study is theoretically based on the technology acceptance model (TAM) with evaluation information system success models (ISSM). Theoretically, five independent constructs were identified as contributory to behavioral intention to use social media, and actual social media use towards the students’ satisfaction and performance impact was analyzed. A questionnaire survey based on the technology acceptance model (TAM) and information system success model (ISSM) was utilized as the key method for collecting data and disseminated to 1200 students from four public universities of Malaysia chosen through a random sampling technique. For data analysis, the SPSS and structural equation modeling (SEM-Amos) were used. Outcomes obtained from the students’ behavioral intention to use and actual social media usage indicates a positive and constructive influence on satisfaction and academic performance in higher education. In addition, both male and female students were satisfied with perceived usefulness (β = 0.095, t-value = 3.325, p < 0.001 and β = −0.045, t-value = −2.079, p < 0.001, respectively), perceived ease of use (β = 0.108, t-value = 3.29, p < 0.001 and β = 0.307, t-value = 12.365, p < 0.001, respectively), perceived technology fit (β = 0.14, t-value = 4.769, p < 0.001 and β = 0.277, t-value = 12.358, p < 0.001, respectively), information quality (β = 0.108, t-value = 3.825, p < 0.001 and β = 0.109, t-value = 5.087, p < 0.001, respectively), and system quality (β = 0.232, t-value = 7.573, p < 0.001 and β = 0.176, t-value = 7.429, p < 0.001, respectively). Therefore, we encourage students to use social media for educational purposes and encourage more interactions with peers at higher education institutions. The study’s empirical findings present strong support for the integrative association between the TAM and the ISSM in using online learning platforms to improve students’ academic achievements and satisfaction. This could help decision makers in universities, higher education institutions, and colleges to plan, evaluate, and implement online learning platforms in their institutions.

Analyzing Factors Influencing Behavior Intention to Use Snapchat and Instagram Stories

2017 ◽  
Vol 4 (2) ◽  
pp. 75-81 ◽  
Author(s):  
Vincent Valiant Coa ◽  
Johan Setiawan
Keyword(s):  
Structural Equation Modeling ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Structural Equation ◽  
Equation Modeling ◽  
Intention To Use ◽  
Generation Z ◽  
Acceptance Model ◽  
Behavioral Intention To Use

Snapchat, and Instagram are two social networks which recently gain their users after adopting such a feature called "Story" which allows a certain post to be disappeared after a certain time. This research takes up this technology trends analyzing the factors that probably affect the behavioral intention to use Snapchat and Instagram stories among generation Z. Factors are analyzed using Structural Equation Modeling, with basis model and variables from Technology Acceptance Model. Data collection was targeted to finished within 1 week using online questionnaire with respondent from Jakarta and Tangerang for 100 respondent that are using both Snapchat stories and Instagram Stories. There are two tools researcher usually use to analyze Structural Equation Modeling: SPSS AMOS and LISREL. In this research, researchers choose AMOS. From six hypothesis proposed for Snapchat analysis, four hypothesis is accepted, while the other two are rejected. Meanwhile, on Instagram Stories analysis, five hypothesis is accepted and one hypothesis is rejected. This study finds out the Social Presence is an exogenous variable which has a major role in affecting other variables. While Perceived Enjoyment influenced the behavioral intention to use Snapchat and Instagram Stories the most. Index Terms—Structural Equation Modeling, Technology Acceptance Model, influence, generation Z, Snapchat, Instagram REFERENCES [1] L. Chin and Z. Ahmad, "Perceived Enjoyment and Malaysian Consumers’ Intention to Use a Single Platform EPayment", SHS Web of Conferences, vol. 18, 2015. [2] M. Ariff, T. Shan, N. Zakuan, N. Ishak and M. Wahi, "Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems", IOP Conference Series: Materials Science and Engineering, vol. 58, 2014. [3] K. Hassanein and M. Head, "Manipulating perceived social presence through the web interface and its impact on attitude towards online shopping", International Journal of HumanComputer Studies, vol. 65, no. 8, pp. 689-708, 2007. [4] P. Surendran, "Technology Acceptance Model: A Survey of Literature", 2012. [5] F. Davis, "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology", MIS Quarterly, vol. 13, no. 3, p. 319, 1989

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