Using an adapted, task-level technology acceptance model to explain why instructors in higher education intend to use some learning management system tools more than others

2014 ◽  
Vol 71 ◽  
pp. 247-256 ◽  
Author(s):  
Judith Schoonenboom
2010 ◽  
Vol 1 (1) ◽  
Author(s):  
Munir Munir

Abstract: Factors Affecting the Use of the Learning Management System inUniversities (A Case Study in Indonesia University of Education). The purpose ofthis paper is to find out factors that affect the usage of the Learning ManagementSystem (LMS) in in Indonesia University of Education. Indonesia University ofEducation has been built LMS to support learning processes. The focus is on factorsaffecting the use of LMS in supporting effective and efficient learning processes. Inthis research the writer used Technology Acceptance Model (TAM) to find outthose factors. The data were collected using the survey technique and wereanalyzed by means of the multivariate statistic method. The result of this researchconcluded that the factors of Perceived Usefulness (PU), Perceived Ease of Use(PEOU), Intention to Use (ITU), Actual Usage Behavior (AUB) significantly affectedthe effective and efficient use of LMS in supporting learning processes.Keywords: Learning Management System (LMS), Technology Acceptance Model(TAM), Information and Communication technology (ICT).


2015 ◽  
Vol 72 (4) ◽  
Author(s):  
Uce Indahyanti ◽  
Sukarjadi Sukarjadi

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.


2019 ◽  
Vol 15 (30) ◽  
Author(s):  
Rubén Suárez Escalona ◽  
Armando Tijerina García ◽  
Gloria Nelly Salas Celestino ◽  
María de la Luz Escalona Galindo

Abstract: It is indisputable that technology advances exponentially, and people try to adapt to change constantly, however, the change is so fast that many times users can get uncomfortable with the new technology and generate resistance to its use. For this reason, the intention of this study is to propose a model of acceptance of educational modifying the TAM (Technology Acceptance Model) to the needs of the educational context, by adding the variable perception of playful. The study was conducted at the Faculty of Philosophy and Letters of the UANL, where 100 surveys were applied to undergraduate students, obtaining a good reliability in the designed instrument. Later, the statistical package, SPSS (Statistical Package for the Social Sciences) was used to analyze the data, using the method of successive steps of the multivariate regression. The results of the study show that there are significant relationships between the variables in he proposed model. In general, the study shows in a clear and parsimonious way the most important factors that influence the acceptance of the Nexus platform, therefore, it is concluded that it can be applied in the acceptance of educational technology.Key words: e-learning, learning management system (LMS), Task Fit Technology (TTF), Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT)JEL: M15, O32, O33.Resumen. Es indiscutible que la tecnología avanza de manera exponencial, las personas intentan adaptarse al cambio frecuente y constante, sin embargo, el cambio es tan rápido que muchas veces los usuarios pueden llegar a sentirse incómodos con la nueva tecnología y generar una resistencia a su uso. Por tal motivo, la intención de este estudio es proponer un modelo de aceptación de tecnología educativa, modificando el modelo TAM por sus siglas en inglés (Technology Acceptance Model) a las necesidades del contexto educativo, mediante la adición de la variable percepción de lúdica.  El estudio se realizó en la Facultad de Filosofía y Letras de la UANL, en donde se aplicaron 100 encuestas a estudiantes de licenciatura, obteniendo una buena confiabilidad en el instrumento diseñado, posteriormente se utilizó el paquete estadístico, SPSS por sus siglas en inglés (Statistical Package for the Social Sciences) para analizar los datos, mediante el método de pasos sucesivos de la regresión multivariada. Los resultados del estudio muestran que existen relaciones significativas entre las variables que se plantean en el modelo propuesto, y el estudio muestra de una manera clara y parsimoniosa los factores más importantes que influyen en la aceptación de la plataforma Nexus, por lo anterior, se concluye que se puede aplicar en la aceptación de tecnología educativa, en general.Palabras clave: educación a distancia, Modelo Ajuste Tarea-Tecnología (TTF), Modelo de Aceptación de Tecnología (TAM), plataformas de educación a distancia, Teoría Unificada de aceptación de Tecnología (UTAUT)


Author(s):  
Bui Thanh Khoa ◽  
Nguyen Minh Ha ◽  
Tran Viet Hoang Nguyen ◽  
Nguyen Huu Bich

Online training has been a common form of training all over the world for many years ago; however, it is only a side choice alongside offline training. Not only students but also lecturers prefer offline training to online training. However, in some cases of force majeure, specifically the nCov-19 flu pandemic, online training is considered the best way to teach. This study is based on the Technology Acceptance Model 2 (TAM2) to learn about the lecturers' adoption of using the learning management system (LMS) at universities in Vietnam. Mixed research methods are used to achieve the research objectives. Online group discussions, as well as online surveys, were conducted to collect data to analyze and test the hypotheses as well as the theoretical model. The results of the study are similar to the conclusions of TAM2. Thereby, the study proposes managerial implications to improve the lecturers' adoption.


Author(s):  
WJAJM Lasanthika ◽  
WDNSM Tennakoon

Objective - At present, higher educational institutions are heavily reliant on Learning Management Systems (LMS) to effectively manage communication with students and to enable technology-based learning. However, the success of LMS depends mostly on the adoption of LMS by students and teachers. The aim of this study is to incorporate different important factors of the Technology Acceptance Model to compare the behavioural intention of students and teachers to adopt LMS. Methodology/Technique – Structured instruments are used for a sample of academics and undergraduates as the main contributors of LMS. The attitude towards LMS adoption of academics and students was compared. Finding - The results suggest that the attitudes of teachers and students towards LMS adoption significantly differ as both contributors and users of LMS. Novelty - In addition, the research highlights different aspects of LMS that can be manipulated for the successful adoption of LMS Type of Paper: Empirical. Keywords: LMS Adoption; Technology Acceptance Model (TAM); University Community; Attitude Reference Reference to this paper should be made as follows: Lasanthika, W.J.A.J.M; Tennakoon, W.D.N.S.M. 2019. Assessing the Adoption of Learning Management Systems in Higher Education, Global J. Bus. Soc. Sci. Review 7(3): 204 – 208. https://doi.org/10.35609/gjbssr.2019.7.3(5) JEL Classification: A20, A23, A29.


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