scholarly journals Análisis del efecto moderador de la edad en la aceptación de sistemas e-learning LMS / An analysis of the moderating effects of age in the acceptance of Learning Management Systems

2012 ◽  
Vol 13 (1) ◽  
pp. 317-333
Author(s):  
Óscar Lorenzo Dueñas-Rugnon ◽  
Santiago Iglesias-Pradas ◽  
Ángel Francisco Agudo-Peregrina

El presente estudio analiza las intenciones de los usuarios acerca del uso de sistemas de tele-enseñanza LMS (Learning Management Systems), basándose en un modelo que integra el Modelo de Aceptación Tecnológica (TAM, Technology Acceptance Model), la Teoría del Comportamiento Percibido (TPB, Theory of Planned Behavior) y la Teoría Unificada de la Aceptación y Uso de la Tecnología (UTAUT, Unified Theory of Acceptance and Use of Technology), tomando la edad como variable moderadora. Así, este artículo estudia la influencia de la intención conductual, la actitud hacia el uso, la facilidad de uso percibida, la utilidad percibida, la norma subjetiva y la influencia social en la intención de utilizar sistemas e-learning LMS. Como antecedentes de estos factores de influencia se plantean las características del sistema y del usuario. El resultado de la revisión teórica es un modelo unificado que ha sido validado con datos recogidos de 94 estudiantes a través de un cuestionario en línea. Estos datos han sido analizados utilizando la técnica de mínimos cuadrados parciales, y los principales resultados confirman la relevancia predictiva del modelo para usuarios de entre 26 y 35 años y de entre 36 y 45 años.   This study analyses students’ intentions to use e-learning management systems based on an inventory which integrates the Technology Adoption Model (TAM), the Theory of Planned Behavior (TPB) and the Unified Theory of Acceptance and Use of Technology (UTAUT), with the difference of age as moderating variable. In particular, the most relevant learning management systems (LMS) adoption models have been reviewed from literature. Thus, this paper studies the influence of behavioral intention, attitude toward use, perceived usefulness, perceived ease of use, subjective norms and social influence in the intention to use e-learning management systems. User and system characteristics have been proposed as antecedents of the former factors. The result of this review is a unified model which has been validated with data collected from 94 students through a web questionnaire, and the results from this data have been analysed using the partial least squares (PLS) method. The analysis has demonstrated the predictive relevance and the validation of the model for users between 26 to 35 years old and 36 to 45 years old.  

2022 ◽  
Vol 14 (1) ◽  
pp. 0-0

The development of learning management systems (LMS) has an integral role to the promotion of new alternatives in relation to improve teaching and learning for universities. This study proposes the determination of the constructs that influence learning management systems adoption and use. The conceptual framework has been developed on the basis of the expansion of Technology Acceptance Model 3 (TAM3) including the constructs Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Subjective Norm (SN), Behavioral Intention (BI), Use Behavior (UB). The paper deals with the integration of the three approaches Partial Least Square-Structural Equation Model (PLS-SEM), Analytic Hierarchic Process (AHP) and Fuzzy Analytic Hierarchy Process (FAHP). PLS-SEM have determined the reliability, the validity of the constructs, and tested the model’s hypotheses. These results have been integrated into the AHP and FAHP methods, to evaluate the importance of the constructs. These results will be especially useful to enhance the higher education policies.


2019 ◽  
Vol 17 (3) ◽  
pp. 1-24 ◽  
Author(s):  
Ahmed Alshehri ◽  
M J Rutter ◽  
Sally Smith

The rapid growth of e-learning around the globe is inspiring various academic institutions to adopt it. Uptake is motivated by convincing benefits such as flexibility, accessibility and the management of course delivery. In fact, academic institutions place great emphasis on e-learning and are investing significantly in information technology infrastructures. However, in spite of this effort and investment, it seems that instructors and students do not always fully benefit from the learning technology and more often learning management systems (LMSs) remain underutilized. Thus, this study adopts the Unified Theory of Acceptance and Use of Technology (UTAUT) to study how people accept and use the Blackboard system. The data were analysed using Structural Equation Modelling (SEM) techniques to test the hypothesized research model. The empirical results found that technical support is fundamental in determining the acceptance and use of e-learning systems. The findings of the study may help to provide insights into a better approach to promote e-learning acceptance.


Respati ◽  
2017 ◽  
Vol 11 (33) ◽  
Author(s):  
Siwi Astuti ◽  
Bambang Soedijono ◽  
Armadyah Amborowati ◽  
Rahmatul Irfan

ABSTRAKTechnology Acceptance Model (TAM) dan Theory of Planned Behavior (TPB) merupakan teori penerimaan teknologi yang digunakan dalam penelitian ini. Terdapat enam konstruk yang digunakan dan merupakan gabungan dari konstruk-konstruk asli yang terdapat dalam TAM dan TPB. Keenam konstruk tersebut adalah kemudahan pengguna persepsian (perceived ease of use/PEOU), kegunaan persepsian (perceived usefulness/PU), sikap terhadap penggunaan teknologi (attitude towards using technology/ATU), norma subyektif (subjectivenorm/SN), kontrol perilaku persepsian (perceived behavior control/PBC), dan minat perilaku menggunakan teknologi (behavioral intention to use/BIUS). Model gabungan ini selanjutnya digunakan untuk meneliti Program ICT EQEP yang merupakan teknologi e-learning yang digunakan di SMP penerima Program ICT EQEP. Penelitian ini selanjutnya akan menjelaskan tentang hubungan antar faktor-faktor yang mempengaruhi penerimaan dan penggunaan Program ICT EQEP di SMP penerima Program ICT EQEP.Jenis penelitian yang digunakan dalam penelitian ini adalah penelitian eksplanatori dengan teknik analisis data menggunakan pendekatan SEM. Data diperoleh dari responden yang merupakan guru SMP atau user penerima Program ICT EQEPdi Kulon Progo dengan menyebarkan kuesioner tertutup. Terdapat 126 sampel penelitian yang dianalisis menggunakan metode SEM dengan software AMOS.Berdasarkan hasil analisis data diperoleh hasil sebagai berikut: (1) Konstruk PEOU mempengaruhi konstruk PU; (2) Konstruk PU mempengaruhi konstruk ATU; (3) Konstruk PEOU tidak memiliki pengaruh terhadap konstruk ATU; (4) Konstruk PU tidak memiliki pengaruh terhadap konstruk BIUS; (5) Konstruk ATU mempengaruhi konstruk BIUS; (6) Konstruk SN memiliki pengaruh terhadap konstruk BIUS; dan (7) Konstruk PBC mempengaruhi konstruk BIUS. Selain itu koefisien variabel laten PU terhadap ATU memiliki nilai paling besar diantara nilai koefisien variabel laten pada model hubungan antar konstruk lainnya. Kemudahan penggunaan persepsian (PEOU) di Kulon Progo masih tergolong cukup dan cenderung rendah dengan perentase 70,63%, Sikap terhadap penggunaan teknologi (ATU) sebagian besar guru sebagai user program ICT EQEP di Kulon Progo cenderung cukup tinggi sebesar 75,40%, Tingkat Kepercayaan (PU) sebagian besar guru sebagai user program ICT EQEP di Kulon Progo bahwa penggunaan teknologi akan meningkatkan kinerja pekerjaanya cenderung cukup tinggi sebesar 69,84%. Persepsi dan konstruk-konstruk internal dan eksternal dari perilaku (PBC) sebagian besar guru sebagai user program ICT EQEP di Kulon Progo cenderung tinggi sebesar 89,69%. Persepsi atau pandangan (SN) sebagian besar guru sebagai user program ICT EQEP di Kulon Progo terhadap kepercayaan-kepercayaan orang lain sebagai pertimbangan dalam melakukan sesuatu cenderung rendah sebesar 49,21%Kata kunci: Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), Program ICT EQEP, dan AMOS


2015 ◽  
Vol 67 (1) ◽  
pp. 99-104 ◽  
Author(s):  
Gabroveanu Mihai

Abstract Traditional Learning Management Systems are installed on a single server where learning materials and user data are kept. To increase its performance, the Learning Management System can be installed on multiple servers; learning materials and user data could be distributed across these servers obtaining a Distributed Learning Management System. In this paper is proposed the prototype of a recommendation system based on association rules for Distributed Learning Management System. Information from LMS databases is analyzed using distributed data mining algorithms in order to extract the association rules. Then the extracted rules are used as inference rules to provide personalized recommendations. The quality of provided recommendations is improved because the rules used to make the inferences are more accurate, since these rules aggregate knowledge from all e-Learning systems included in Distributed Learning Management System.


2012 ◽  
Vol 47 (1) ◽  
pp. 59-71
Author(s):  
Josefina Guerrero-García ◽  
Juan Manuel González-Calleros ◽  
Jaime Muñoz-Arteaga ◽  
Miguel Ángel León-Chávez ◽  
Carlos Reyes-García

Author(s):  
Jose Bidarra ◽  
Ana Dias

<P> The widespread diffusion of e-Learning in organizations has encouraged the discovery of more effective ways for conveying digital information to learners, for instance, via the commonly called Learning Management Systems (LMS). A problem that we have identified is that cognitive variables and pedagogical processes are rarely taken into consideration and sometimes are confused with the mere use by learners of “diversified” hypermedia resources. Within the context of widespread dissemination of multimedia content that has followed the emergence of massive information resources, we discuss the need for more powerful and effective learner-centered tools capable of handling all kinds of design configurations and learning objects. </p> <P class=abstract><B>Key Terms: </B>cognitive profiles, learning styles, mind mapping, multimedia and hypermedia content, hyperscapes, e-Learning, learning objects, Learning Management Systems (LMS).</P>


Author(s):  
Abdulrahman S. Basahal

ABSTRACT The past decade has been characterized by a strong global trend towards the adoption of Learning Management Systems (LMS) in the educational environment. Saudi Arabia has recently invested in the digitization of education. Taking the Technology Acceptance Model (TAM) as a starting point, this study sought to understand the knowledge and early experiences of Saudi high school teachers with a particular LMS, called Future Gate. Qualitative in-depth interviews with 20 Saudi high school teachers were thematically analyzed. Findings suggest that high school teachers are well-informed about Future Gate and its purpose and have mostly positive perceptions of this LMS. Yet, some limitations exist, including unfamiliarity, lack of infrastructure, technical issues, and quality-related concerns. The findings are valuable because they can inform both educational leaders and software developers on how to improve and facilitate the use of LMS.


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