The adoption of e-learning beyond MOOCs for higher education

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maggie Liu ◽  
Chunhui Liu
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Content Type ◽  
Factors Influencing ◽  
E Learning ◽  
Acceptance Model ◽  
First Time

Purpose This paper aims to explore factors influencing university students’ intent to take formal lectures completely through e-learning with cloud meetings. Design/methodology/approach This study has surveyed Chinese students who have experienced e-learning with cloud meetings as well as traditional massive open online courses (MOOC) without live dialogues. The data are analysed based on structural equation modelling to assess factors influencing students’ intent to choose e-learning with cloud meetings. Findings The findings show that as per the technology acceptance model, e-learning students who find learning to be easier with cloud meetings than MOOCs believe cloud meeting courses to be more beneficial and thus are more willing to take e-learning with cloud meetings. Originality/value This study compares e-learning with cloud meetings with MOOCs without live dialogues for the first time to highlight the value of open dialogues in real time for effective e-learning.

Acceptance of Google Classroom for Learning English Exit Test

2020 ◽  
Vol 4 (1) ◽  
pp. 67
Author(s):  
Tuan Sarifah Aini Syed Ahmad ◽  
Zarina Suriya Ramlan ◽  
Shashi Kumar Krishnan
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
The Social ◽  
Acceptance Model ◽  
The University ◽  
Learning English

Online learning has been implemented at the tertiary level by using many platforms such as the university learning management system, massive open online courses (MOOCs) and mobile applications. Online learning permits personalization and autonomous learning. However, this is not the case for the English Exit Test. An initiative was made to provide an online platform for students to practice using the language via Google Classroom. Google Classroom can be accessed as a mobile application on a smartphone or on the web by using a computer. It is essential to support the students’ learning in preparation for the test since it is the requirement of graduation for degree students at Universiti Teknologi MARA. This study aimed at determining the level of acceptance in using Google Classroom for learning English Exit Test among students. The sample was selected using purposive sampling. The data were collected using a survey designed based on the Technology Acceptance Model (TAM) and went through data cleansing using Statistical Packages for the Social Sciences (SPSS) Version 21. The data were then analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The results indicate that students positively accepted the use of Google Classroom in preparation for the English Exit Test.

Exploring customers’ attitudes to the adoption of robots in tourism and hospitality

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Abou-Shouk ◽  
Hesham Ezzat Gad ◽  
Ayman Abdelhakim
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Service Robots ◽  
Content Type ◽  
Factors Affecting ◽  
Positive Attitudes ◽  
Travel Agencies ◽  
Tourism And Hospitality ◽  
Acceptance Model

Purpose This study aims to explore the factors affecting customers’ attitudes to the adoption of robots in hotels and travel agencies. Design/methodology/approach Structural equation modelling was used to test the extended technology acceptance model based on data collected from 570 customers of hotels and travel agencies. Findings The findings revealed that hotel customers have more positive attitudes to service robots than their peers in travel agencies. Originality/value This research contributes to the literature on robots in tourism and responds to the call to investigate customers’ attitudes to the adoption of robots in developing countries.

Antecedents to consumers’ showrooming behaviour: an integrated TAM-TPB framework

2018 ◽  
Vol 35 (4) ◽  
pp. 438-450 ◽  
Author(s):  
Sourabh Arora ◽  
Sangeeta Sahney
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Content Type ◽  
Selective Sampling ◽  
Product Choices ◽  
Initial Move ◽  
Acceptance Model ◽  
The Relationship ◽  
Practical Implications

Purpose The purpose of this study is to propose an integrated framework utilizing the theory of planned behaviour (TPB) and technology acceptance model (TAM) to augment the understanding on consumers’ showrooming behaviour. Design/methodology/approach Selective sampling was used for data collection. The integrated TAM-TPB framework led to 12 propositions, which were tested using partial least squares-structural equation modelling. Findings Both perceived relative search benefits offline and relative purchase benefits online significantly determined the consumers’ showrooming behaviour along with perceived ease purchasing online and the overall usefulness of the showrooming sequence. Results of the study revealed that the showrooming sequence helped consumers avoid the regret of making suboptimal product choices and paying a higher price for the same product. Online trust was found to partially mediate the relationship between consumers’ intention to showrooming and the actual showrooming behaviour. Research limitations/implications Notwithstanding the fact that further research is required to arrive at definitive conclusions, this study is an initial move towards understanding the consumers’ showrooming behaviour, and the research provides meaningful insights. Practical implications As showrooming substantially erodes profits, devising strategies to defend showrooming customers becomes crucial. The findings of the study provide the basis for formulating strategies to counter showrooming customers. Originality/value The paper is amongst the first studies which helps enhance the understanding of consumers’ showrooming behaviour, which is an emerging area in the present multi-channel retailing environment.

scholarly journals Analysis of Factors that Affect the Success of E-Learning Implementation of STMIK BI Balikpapan

2021 ◽  
Vol 4 (1) ◽  
pp. 40-45
Author(s):  
Sumiarti Sumiarti ◽  
◽  
Elvin Leander Hadisaputro ◽  
Joy Nashar Utamajaya ◽  
◽  
...  
Keyword(s):  
Technology Acceptance ◽  
Digital Media ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Teaching Experience ◽  
Equation Model ◽  
The Other ◽  
Learning And Teaching ◽  
E Learning ◽  
Acceptance Model

E-learning in higher education is a technique to improve learning and teaching experience, and as a tool to educate students through digital media, with or without the guidance of their instructors. STMIK BI Balikpapan has been using it since 2015, but its implementation has not been as optimal as expected. The research aims to identify the factors that influence the success of the application of e-learning in STMIK BI Balikpapan by referring to the model adopted from TAM (Technology Acceptance Model) and TOE (technological, organizational and environment). The research respondents were 94 people. Data were collected through questionnaires and analyzed using the Structural Equation Model (SEM) through the Smart PLS program. The results showed that of the four hypotheses tested, one hypotheses had significant influence (habits) and the other three hypotheses were not significant (connections, motivation and facility).

scholarly journals ANALISIS PENERIMAAN E-LEARNING MENGGUNAKAN TECHNOLOGY ACCEPTANCE MODEL (TAM) (STUDI KASUS: UNIVERSITAS ATMA JAYA YOGYAKARTA)

2017 ◽  
Vol 1 (2) ◽  
pp. 87-98 ◽  
Author(s):  
Flourensia Sapty Rahayu ◽  
Djoko Budiyanto ◽  
David Palyama
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Behavioral Intention ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Perceived Ease Of Use ◽  
Actual Usage ◽  
E Learning ◽  
Acceptance Model

Dalam implementasi sebuah sistem informasi di suatu institusi, perlu dipertimbangkan  bagaimana penerimaan pengguna terhadap sistem informasi tersebut. Penerapan sistem informasi dapat dikatakan gagal jika pengguna ternyata tidak dapat menerima atau tidak mau menggunakan sistem informasi tersebut. Sebagai sebuah institusi pendidikan, Universitas Atma Jaya Yogyakarta (UAJY) juga mengimplementasikan sistem e-learning untuk mendukung proses belajar mengajar. Pengguna wajib dari e-learning ini adalah dosen dan mahasiwa. Sejak diterapkan belum pernah diadakan evaluasi mengenai penerimaan pengguna terhdap sistem e-learning ini. Penelitian ini dilakukan untuk melakukan pengujian terhadap penerimaan pengguna (mahasiswa) terhadap e-learning dengan menggunakan Technology Acceptance Model (TAM). Pengujian dilakukan dengan mengukur pengaruh antar variabel dalam model TAM yang meliputi variabel Perceived Ease of Use, Perceived Usefulness, Attitude Toward Using, Behavioral Intention dan Actual Usage. Metode pengujian statistik yang dilakukan yaitu uji statistik validitas, reliabilitas, normalitas, dan menguji pengaruh faktor menggunakan Structural Equation Model (SEM). Sumber data didapatkan dengan metode kuesioner yang dibagikan kepada responden mahasiswa UAJY dari seluruh fakultas. Dari enam hipotesis yang diajukan satu hipotesis dinyatakan tidak diterima, yaitu hipotesis yang menyatakan Perceived Usefulnes berpengaruh terhadap Behavioral Intention. Kelima hipotesis yang lain yaitu Perceived Ease of Use berpengaruh terhadap Perceived Usefulnes, Perceived Usefulnes berpengaruh terhadap Attitude Toward Using, Perceived Ease of Use berpengaruh terhadap Attitude Toward Using, Attitude Toward Using berpengaruh terhadap Behavioral Intention, Behavioral Intention berpengaruh terhadap Actual Usage dinyatakan dapat diterima.

A Study of the Application of Technology Acceptance Model (TAM) to E learning among undergraduate students in India- A Structural Equation Modelling Approach

2021 ◽  
pp. 243-252
Author(s):  
Mridul Gupta ◽  
Sai Keerthana Thammi
Keyword(s):  
Data Collection ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Undergraduate Students ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Primary Data ◽  
E Learning ◽  
Acceptance Model

Technological developments in the field of education have paved the way for e-learning. Massive Open Online Courses (MOOC) and online certification courses have become widely popular among students especially those in higher education. Today, E-learning platforms have provided the end users the opportunity to pursue online certifications, gain knowledge and skills, and learn from experts in different fields from the comfort of their homes. Students are an important stakeholder in this knowledge transfer process. Therefore, it is important to understand their attitude towards e learning and their expectation from such platforms. This paper attempts to study the concept of Technology Acceptance Model (TAM) in e-learning among undergraduate students in India to understand their perception and behaviour towards e-learning. The main research methods used were: the questionnaire for primary data collection, journals and research articles for secondary data collection. Excel and Statistical Product and Service Solutions (SPSS) were used to process the collected data, test the hypotheses, statistical analysis, analyse the results and achieve research objectives. Microsoft Word was used for textual representation of final results and interpretations. Hypothetical model based on TAM was framed and six research variables were identified for the study: Perceived Usefulness, Capability, Perceived ease-of-use, Intention to Use, Trustworthiness, Actual Use. The research helped to understand the components of TAM, analyse and identify the relation between TAM and E learning, and revealed that undergraduate students in India have positive perception of E-learning.

scholarly journals Path Analisis Technology Acceptance Model pada Penerapan Blended Learning

2020 ◽  
Vol 6 (2) ◽  
pp. 130-138
Author(s):  
Wawan Laksito Yuly Saptomo ◽  
Elistya Rimawati
Keyword(s):  
Structural Equation Modeling ◽  
Blended Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Structural Equation ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
E Learning ◽  
Acceptance Model

Model pembelajaran Blended Learning  adalah sistem yang mengkolaborasikan pembelajaran tatap muka kelas dengan pembelajaran online memanfaatkan E-Learning. Penelitian ini bertujuan untuk mengukur tingkat penerimaan dan perilaku peserta didik terhadap teknologi  dari model pembelajaran Blended Learning. Variabel yang dikembangkan merujuk pada Technology Acceptance Model (TAM), yaitu  model penerimaan pengguna terhadap sistem informasi. Model TAM dikembangkan dari teori psikologis yang menjelaskan bahwa perilaku pengguna sistem berlandaskan pada kepercayaan, sikap, keinginan, dan hubungan perilaku pengguna. Data yang diperoleh dianalisis hubungan struktur variabel dengan Structural Equation Modeling (SEM) menggunakan metode Partial Least Square (PLS). Berdasarkan hasil Analisa PLS dan Boostraping diperoleh nilai Pengaruh Langsung, Pengaruh Tidak Langsung, dan Pengaruh tidak langsung sesuai jalur spesifikasi melalui variabel intervening (Spesific Indirect Efect).

E-learning satisfaction and retention: a concurrent perspective of cognitive absorption, perceived social presence and technology acceptance model

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Maruf Gbadebo Salimon ◽  
Sany Mohd Mokhtar Sanuri ◽  
Olayemi Abdullateef Aliyu ◽  
Selvan Perumal ◽  
Maha Mohammed Yusr
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Social Presence ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Content Type ◽  
Cognitive Absorption ◽  
E Learning ◽  
Perceived Social Presence ◽  
Acceptance Model

Purpose The purpose of this study is to concurrently test the effect of cognitive absorption and perceived social presence on technology acceptance model core variables, e-satisfaction and e-retention among undergraduate students of Northern Malaysian public universities. Design/methodology/approach To empirically test the model, the authors developed quantitative research by collecting data from 730 undergraduate students of public universities in the Northern states of Malaysia. Partial least squares–structural equation modeling was used to analyze the data. Findings The results of the study reveal that cognitive absorption has a direct significant and positive effect on perceived usefulness and perceived ease of use of e-learning platforms and an indirect effect on e-satisfaction and e-retention. Equally, perceived social presence has a direct positive and significant effect on perceived ease of use and an indirect effect on e-satisfaction and e-retention, while e-satisfaction positively and significantly influences electronic retention. However, perceived social presence has an insignificant effect on perceived usefulness. Practical implications The findings of this study provide insights to practitioners, academia and university management, policymakers, designers and marketers on how to use the selected variables to improve the e-learning systems generally, and LearningZone Moodle in particular. Originality/value Several studies have been conducted in the domain of electronic learning; none of them, however, concurrently linked cognitive absorption and perceived social presence with technology acceptance model core factors to predict e-satisfaction and e-retention using LearningZone Moodle. This study helps the research community to fill this gap as the literature lacks a concerted discussion concerning these variables to significantly predict e-satisfaction and e-retention in an online learning context.

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