Factores determinantes de adopción de blended learning en educación superiorAdaptación del modelo UTAUT*

  1. Martín García, Antonio Víctor
  2. García del Dujo, Ángel
  3. Muñoz Rodríguez, José Manuel
Revista:
Educación XX1: Revista de la Facultad de Educación

ISSN: 1139-613X,  2174-5374

Any de publicació: 2014

Volum: 17

Número: 2

Pàgines: 217-240

Tipus: Article

DOI: 10.5944/EDUCXX1.17.2.11489 DIALNET GOOGLE SCHOLAR lock_openAccés obert editor

Altres publicacions en: Educación XX1: Revista de la Facultad de Educación

Resum

The main goal of this study was to analyze the use of blended learning methodology by academics, using the UTAUT (Unified Theory of Acceptance and Use of Technology ) model as a theoretical background. Via a strati - fied sampling process, a sample of 445 university teachers was analyzed. Confirma tory factor analysis (CFA) with the program AMOS.16 was used to evaluate the critical factors of the scales used and to validate the measure - ment model, together with testing the hypothetical relationships. Thus, the analysis of the data by linear regression equations evaluated the effect of model constructs (outcome expectancy, effort expectancy, social influence and facilitating conditions) and the effect of moderating variables considered in the study (age, gender, professional category and discipline) on the intention to use the b-learning. The results reveal that UTAUT was a useful model to ex - plain the intention of teachers to use the blended learning methodology, with a high prediction rate in forecasting the set of independent variables on be - havioral intention, 35% of the variance (R2 = 0.349, p <0.000). Data indicates that the outcome expectancy ( ? = 0.413, p <0.001), facilitating conditions ( ? =.15, p <0.001) and social influence ( ? =.14, p <0.001) were determinant factors in the behavioral intention to use b-learning. Furthermore, we exam - ined the moderating effect of individual variables considered. The findings highlight the contribution of such studies to universities for a better under - standing of the implementation process of the blended learning methodology, facilitation and promotion

Referències bibliogràfiques

  • Azjen, I., From intentions to actions: A theory of planned behavior (1985) Action-control: From cognition of behavior, pp. 11-39. , En J. Kuhl y J. Beckman (Eds.), Heidelberg: Springer
  • Azjen, I., The theory of planned behavior (1991) Organizational Behavior and Human Decision Process, 50 (2), pp. 179-211
  • Ajzen, I., Perceived Behavioral Control, Self-Efficacy, Locus of Control, and the Theory of Planned Behavior (2002) Journal of Applied Social Psychology, 32, pp. 665-683
  • Ajzen, I., Fishbein, M., (1980) Understanding attitudes and predicting social behaviour., , Englewood Cliffs, NJ: Prentice-Hall
  • Aldás Manzano, J., Curras Pérez, R., Ruiz Mafé, C., Sanz Blas, S., Factores determinantes de la lealtad en el comercio electrónico B2C. Aplicación a la compra de billetes de avión (2010) Revista Española de Investigación de Marketing ESIC, 14 (2), pp. 113-142
  • Assi Moreno, V., Bassalo da Silva, J.M., (2009) Aplicação do Modelo UTAUT a Processos de Adoção de Sistemas ERP: Um Estudo Longitudinal, , http://www.aedb.br/seget/artigos09/443_UTAUT%20-%20revisado.pdf, Faculdades Ibmec-RJ Faculdades Ibmec-RJ. Recuperado de
  • Baggozzi, R., Yi, Y., On the evaluation of structural equation models (1998) Academy of Marketing Science, 16 (1), pp. 79-94
  • Bhattacherjee, A., Premkumar, G., Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test (2004) MIS Quarterly, 28 (2), pp. 351-370
  • Birch, A., Irvine, V., Preservice teachers' acceptance of ICT integration in the classroom: Applying the UTAUT model (2009) Educational Media International, 46 (4), pp. 295-315
  • Bollen, K.A., (1989) Structural Equations with Latent Variables, , New York: Wiley
  • Bollen, K.A., Long, J.S., (1993) Testins structural equation models, , Newbury Park, CA: Sage
  • Castañeda, J.A., Frías, D., Muñoz, F., Rodríguez, M.A., Extrinsic and instrinsic motivation in the use of the internet as a tourist information source (2007) International Journal of Internet Marketing and Advertising, 4 (1), pp. 37-52
  • Chin, W.W., (1998) The partial least squares approach to structural equation modeling, pp. 195-336. , En: G. A. Marcoulides (Ed.) Modern methods for business research,. Mahwah, NJ: Erlbaum
  • Compeau, D., Higgins, C., Huff, S., Social Cognitive Theory and Individual Reactions to computing Technology: A longitudinal Study (1999) MIS Quarterly, 23 (2), pp. 145-158
  • Davis, F.D., Perceived usefulness, perceived ease of use, and user acceptance of information technology (1989) MIS Quarterly, 1 (3), pp. 319-340
  • Davis, F.D., Baggozzi, R.P., Warshaw, P.R., Extrinsic and intrinsic motivation to use computers in the workplace (1992) Journal of Applied Social Psychology, 22, pp. 1111-1132
  • Davis, F.D., Bagozzi, R.P., Warshaw, P.R., User acceptance of computer technology: A comparison of two theoretical models (1989) Management Science, 35. , 982-100
  • Davis, S., Wiedenbeck, S., The mediating effects of intrinsic motivation, ease of use and usefulness percepetions on performance in first-time and subsequent computer users (2001) Interacting with Computers, 13, pp. 549-580
  • Featherman, M., Pavlou, P., Predicting e-services adoption: A perceived risk facets perspective (2003) International Journal of Human-Computer Studies. Zhang and Dillon Special Issue on HCI and MIS, 59 (4), pp. 451-474
  • Fishbein, M., Ajzen, I., (1975) Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research, , Reading MA: Addison-Wesley
  • Gefen, D., Karahanna, E., Straub, D., Inexperience and Experience with online stores: The Importance of TAM and Trust (2003) IEEE Transactions on Engineering Management, 50 (3), pp. 307-321
  • Hair, J., Anderson, R., Tatham, R., Black, W., (1999) Análisis multivariante, , 5.a ed. Madrid: Prentice Hall
  • Kline, R.B., (2005) Principles and practice of structural equation modeling, , 2nd ed. New York: Guilford Press
  • Lévy Mangin, J., Varela Mallou, J., (2006) Modelización con estructuras de covarianzas en ciencias sociales, , (ed.), Madrid: Netbiblo
  • Marchewka, T.J., Kurt Kostiwa, K., An Application of the UTAUT Model for Understanding Student Perceptions Using Course Management Software (2007) Communications of the IIMA, 7 (2), pp. 93-104
  • Moon, J.W., Kim, Y.G., Extending de TAM for a world-wide-web context (2001) Information y Management, 38 (4), pp. 217-230
  • Nunnally, J.C., (1978) Psychometric theory, , New York: McGraw-Hill
  • Nurosis, M., (1993) SPSS. Statistical Data Analysis, , Chicago, IL: SPSS Inc
  • Olivier, R.L., A cognitive model of the antecedents and consequences of satisfaction decisions (1980) Journal of Marketing Research, 17, pp. 460-469
  • Rogers, E., (1995) Diffusion of innovations, , (4th ed). New York: Free Press
  • Sánchez, M.J., Roldán, J.L., Web acceptance and usage model: A comparison between goal-directed and experiencial web users (2005) Internet Research, 15, pp. 21-48
  • Taylor, S., Todd, P., Understanding information technology usage: A test of competing models (1995) Information Systems Research, 6 (2), pp. 144-176
  • Teo, T., Examining the intention to use technology among pre-service teachers: An integration of the Technology Acceptance Model and Theory of Planned Behavior (2012) Interactive Learning Environments, 20 (1), pp. 3-18
  • Terzis, V., Economide, A.A., The acceptance and use of computer based assesment (2011) Computer y Education, 56 (4), pp. 1032-1044
  • Thompson, R.L., Higgins, C.A., Howell, J.M., Personal Computing: Toward a Conceptual Model of Utilization (1991) MIS Quarterly, 15, pp. 124-143
  • Venkatesh, V., Davis, F.D., A theoretical extension of the technology acceptance model: Four longitudinal field studies (2000) Management Science, 46 (2), pp. 186-204
  • Venkatesh, V., Morris, M.G., Davis, G.B., Davis, F.D., User acceptance of information technology: Toward a unified view (2003) MIS Quarterly, 27 (3), pp. 425-478
  • Venkatesh, V., Bala, H., Technology Acceptance Model 3 and a Research Agenda on Interventions (2008) Decision Sciences, 39 (2), pp. 273-315
  • Venkatesh, V., Thong, J.Y., Xu, X., Consumer acceptance and use of information technology. Extending the Unified Theory of Acceptance and Use of Technology (2012) MIS Quarterly, 36 (1), pp. 157-178
  • West, G.S., Finch, F.J., Curan, J.P., (1995) Structural equation models with nonnormal variables: Problems and remedies, pp. 56-75. , En R. H. Hoyle (Ed) Structural equation modeling: Concepts, issues, and applications,. CA: Sage, Thousand Oaks, Vol. 9
  • Wong, K.T., Timothy, T., Russo, S., Interactive Whiteboard Acceptance: Applicability of the UTAUT Model to Student Teachers (2012) The Asia-Pacific Education Researcher, 22 (1), pp. 1-10
  • Zhou, T., Lu, Y., Wang, B., Integrating TTF and UTAUT to explain mobile banking user adoption (2010) Computers in Human Behavior, 26 (4), pp. 760-767
Fuente de los datos: Dialnet