Examining the Main Mobile Learning System Drivers’ Effects: A Mix Empirical Examination of Both the Expectation-Confirmation Model (ECM) and the Technology Acceptance Model (TAM)

2019 ◽  
pp. 406-417 ◽  
Author(s):  
Muhammad Alshurideh ◽  
Barween Al Kurdi ◽  
Said A. Salloum
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Learning ◽  
Learning System ◽  
Empirical Examination ◽  
Acceptance Model ◽  
Mobile Learning System ◽  
Expectation Confirmation

scholarly journals Telepresence and Interactivity in Mobile Learning System: Its Relation with Open Innovation

2021 ◽  
Vol 7 (1) ◽  
pp. 78
Author(s):  
Na Wei ◽  
ZhongWu Li
Keyword(s):  
Technology Acceptance ◽  
Mobile Learning ◽  
Open Innovation ◽  
Online Survey ◽  
Mediating Effect ◽  
Learning System ◽  
Equation Modeling ◽  
Flow Experience ◽  
Mobile Learning System ◽  
System Characteristics

Mobile learning applications enable people to spend fragmented time to improve their knowledge and competitiveness. Enterprises aim to design innovative applications and create a new learning mode for the public, and the open innovation strategies may help companies achieve their goals. In the current study, the English learning application “LAIX” was investigated, and an online survey was used to obtain data from 289 university students in Guangzhou. This study combines the technology acceptance model (TAM) with flow theory (FT), investigating the psychological experience factors and the system characteristics that influence users’ behavior intentions. The exploration of perceptual variables will promote the establishment of an open innovation model of mobile learning applications. The aim of the study was to establish a theoretical framework to more deeply explore users’ intentions in mobile learning applications. Structural equation modeling (SEM) was used to help measure the relationship between variables and determine the model fit. This research reveals that telepresence is the most important variable that impacts user intentions to use mobile learning applications. In addition, the mediating effect of the flow experience was tested. Telepresence and interactivity indirectly influence behavioral intention through the variable “flow”. Users appear to be more concerned with the flow experience, which shows the highest correlation with intention to use the application. This study may assist companies to innovate system characteristics and improve customers’ user experience, for instance, by integrating virtual reality (VR) technology into the mobile learning system to improve their open innovation level and market popularity.

Validating the TAM model in Haryana state of India: During COVID-19

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
komal Goyal ◽  
Ashutosh Nigam ◽  
Neha Goyal ◽  
Manisha Goyal
Keyword(s):  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Learning System ◽  
Perceived Ease Of Use ◽  
Tam Model ◽  
E Learning ◽  
Continuous Usage Intention ◽  
Acceptance Model

Purpose -Response to the sudden pandemic, COVID-19 drastic shift of work practices requires the implementation of an e-learning system, but their adoption requires a thorough understanding of the user acceptance process. Our key effort is to incorporate a framework, “internet experience” to determine the existing Technology Acceptance Model (TAM) applicability in describing students’ s e-learning decisions in Haryana state. Design/methodology- The researcher has administered a questionnaire based on TAM’s constructs and collected data from UG and PG students of Haryana state of India. Findings – The results revealed that perceived usefulness (PU) has a significant positive relationship with continuous usage intention (CUI) whilst, perceived ease of use (PEOU), computer self-efficacy (CSE) and internet experience (IE) have not. Attitude towards E-learning system (ATELS) has found no relevance in this model. Originality/value Majority research has been done using the TAM model in a developed nation. Empirical study has not been done in Haryana state so far.

scholarly journals Analysis of Learning Governance Using E-Learning with Technology Acceptance Model (TAM) In the Covid-19 Pandemic ERA

2021 ◽  
pp. 80-88
Author(s):  
Nurohman1 ◽  
Nurhayati ◽  
Wiji Lestari
Keyword(s):  
Data Processing ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Organizational Support ◽  
User Satisfaction ◽  
Learning System ◽  
Research Approach ◽  
E Learning ◽  
Acceptance Model ◽  
Strongly Agree

The learning with e-learning is not only due to aspects of the development of information technology but also due to the Covid-19 pandemic. The Covid-19 pandemic has forced all levels of society to adhere to the New Normal way of life. Elearning is a solution for learning in this pandemic era. This study will examine the analysis of learning management with Eleaning at Duta Bangsa University Surakarta with the Technology Acceptance Model (TAM) approach during the Covid-19 pandemic. This study uses a descriptive research approach with research respondents consisting of 25 lecturers and 48 students. Research data collection was carried out using an online questionnaire. The questionnaire consists of 16 questions which are the elaboration of 8 items of user satisfaction parameters in the use of the Elearning System. The eight items are Content, Format, Accuracy, Timeliness, Ease of Use, User Attitudes Towards Systems, Organizational Support and Perceived Attitude of Top Management. The results of testing and data processing, both data from lecturers and students, are normally distributed, with the Kolmogorov-Smirnov test. The results of testing the data related to the 16 questionnaire questions also show that the data is valid and reliable. User satisfaction with the implementation of learning through the Elearning System during the Covid-19 pandemic is quite high, above 75% strongly agree, even from 8 items, 7 items on average are above 80% strongly agree. From the results of data processing per item, an average of 4.15 was obtained for lecturer respondents, which means that acceptance strongly agrees with the E-learning system around 83.0%. For student respondents the average is 4.11, which means that the acceptance of the E-learning system is 82.2%. Content occupies the highest satisfaction score of 89.2% for lecturers and 86.2% for students. While the lowest level of satisfaction is organizational support, the satisfaction rate for lecturers is 76.4% and students are 77.8%.

scholarly journals Assesment Online Learning System di Masa Pandemi COVID-19 Menggunakan Metode Technology Acceptance Model

Jurnal Teknik ◽  
2020 ◽  
Vol 18 (2) ◽  
pp. 112-122
Author(s):  
Yulius Hari ◽  
Darmanto ◽  
Budi Hermawan ◽  
Yonatan Widianto ◽  
Indra Budi Trisno
Keyword(s):  
Online Learning ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Student Behavior ◽  
Teaching And Learning ◽  
Sudden Change ◽  
Learning System ◽  
Learning Activities ◽  
Acceptance Model ◽  
The Moment

In the situation of a pandemic novel COVID-19 throughout the world forced all changes in the order of activities that exist in society, one of which is in teaching and learning activities. As a solution to learning activities at the moment everything must be implemented online, both students and instructors are forced to adapt to the online learning system . This sudden change often causes problems related to learner's behavior. This study tries to observe student behavior towards learning activities that are forced to be done from home with the principle approach of the Technology Acceptance Model (TAM). The research respondents numbered 93 people and the elearning system tested was the use of learning media with whatsapp, LMS Moodle, zoom meeting and its combination. The results of this study can provide recommendations in distance learning in the future.

Sign in / Sign up

Export Citation Format

Share Document