Examen de los factores que afectan la preferencia de la educación abierta y e-learning con el modelo de ecuación estructural
DOI:
https://doi.org/10.22633/rpge.v26i00.17468Palabras clave:
E-learning, Sistema para el manejo del aprendimiento, Sistemas de información, PreferibilidadResumen
El objetivo de este estudio es investigar los factores que inciden en la preferencia de los sistemas de e-learning utilizados como herramienta básica o de apoyo tanto en la educación abierta como en la educación formal. El conjunto de datos utilizado en este estudio se obtuvo de un cuestionario aplicado a estudiantes universitarios seleccionados al azar que tomaron cursos con el sistema e-learning. El cuestionario se aplicó a 561 personas y se calcularon estadísticas descriptivas a partir de los datos obtenidos. Para modelar y analizar las relaciones de los factores que afectan directa e indirectamente la preferencia de los sistemas de e-learning, se estableció el Modelado de Ecuaciones Estructurales. Como resultado del análisis se determinaron las variables que directa o indirectamente inciden en la preferencia de los sistemas e-learning. Además del efecto positivo de la infraestructura del sistema de información sobre otras variables del modelo, se reveló el efecto de mediación del sistema de gestión del aprendizaje sobre la infraestructura del sistema de información y la preferencia.
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ADIGÜZEL, Z.; SÖNMEZ ÇAKIR, F.; KÜÇÜKOĞLU, I. The Effects of Organizational Communication and Participative Leadership on Organizational Commitment and Job Satisfaction in Organisations, BMIJ, v. 8, n. 4, p. 829-856, 2020. DOI: http://dx.doi.org/10.15295/bmij.v8i4.1593.
AJZEN, I. The theory of planned behavior. Organizational Behavior and Human Decision Processes, v. 50, n. 2, p. 179-211, 1991. DOI: http://dx.doi.org/10.1016/0749-5978(91) 90020-T.
APARICIO, M.; BACAO, F.; OLIVEIRA, T. Cultural impacts on e-learning systems' success. The Internet and Higher Education, v. 31, p. 58-70, 2016.
BAROUDI, J. J., OLSON, M. H.; IVES, B. An empirical study of the impact of user involvement on system usage and information satisfaction. Communications of the ACM, v. 29, p. 232-238, 1986.
BUZZARD, C. et al. The use of digital technologies in the classroom: A teaching and learning perspective. Journal of Marketing Education, v. 33, n. 2, p. 131–139, 2011.
CHENEY, P. H.; DICKSON, W. Organizational characteristics and information systems: an exploratory investigation. Academy of Management Journal, v. 25, n. 1, p. 170-184, 1982.
CIDRAL, W. A.; OLIVEIRA T.; FELICE, M.; APARICIO, M. E-learning success determinants: Brazilian empirical study. Computers and Education, v. 122, p. 273-290, 2018.
CLARK, L. A.; WATSON, D. Constructing validity: Basic issues in objective scale development. Psychological assessment, v. 7, n. 3, p. 309, 1995.
CONRATH, D. W.; MIGNEN, O. P. What is being done to measure user satisfaction with EDP/MIS. Information and Management, v. 19, n. 1, p. 7-19, 1990. DOI: http://dx.doi.org/10.1016/0378-7206(90)90010-F.
DAVIS, F. D. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly (MISQ), v. 13, 3, p. 319-339, 1989.
DELONE, W. H. Determinants of success for computer usage in small business. MIS Quarterly (MISQ), v. 12, n. 1, p. 51-61, 1988.
DELONE, W. H.; MCLEAN, E. R. Information systems success: The quest for the dependent variable. Information Systems Research, v. 3, n. 1, p. 60-95, 1992.
DELONE, W. H.; MCLEAN, E. R. The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, v. 19, n. 4, p. 9-30, 2003. DOI: http://dx.doi.org/10.1073/pnas.0914199107.
DIAMANTOPOULOS, A.; SIGUAW, J. A. Formative versus reflective indicators in organizational measure development: A comparison and empirical illustration. British Journal of Management, v. 17, n. 4, p. 263-282, 2006.
DIJKSTRA, T. K.; HENSELER, J. Consistent partial least squares path modeling. MIS Quarterly (MISQ), v. 39, n. 2, p. 297-316, 2015.
FALLAH, M. H.; HOW, W. J.; UBELL, R. Blind scores in a graduate test:Conventional compared with Web-based outcomes. ALN Magazine, v. 4, n. 2, 2000.
FORNELL, C.; LARCKER, D. F. Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, v. 18, n. 1, p. 39–50, 1981. DOI: https://doi.org/10.2307/3151312.
FREEZE R. D.; ALSHARE K. A.; LANE P. L.; WEN H. J. IS Success Model in E-Learning Context Based on Students' Perceptions. Journal of Information Systems Education, v. 21, n. 2, 2010.
GOLD, A. H.; MALHOTRA, A.; SEGARS, A. H. Knowledge management: an organizational capabilities perspective. Journal of Management Information Systems, v. 18, n. 1, p. 185–214, 2001.
GUIMARAES, T.; ARMSTRONG, C. P.; O'NEAL, Q. Empirically testing some important factors for expert systems quality. Quality Management Journal, v. 13, n. 3, p. 28-38, 2006.
GUIMARAES, T.; STAPLES, S.; MCKEEN, J. Important human factors for systems development success: A user focus. In: SHAYO, C. (Ed.). Strategies for Managing IS Personnel. Idea Group Publishing, 2003.
HAIR, F. et al. A primer on partial least squares structural equation modeling (PLS-SEM). 2. ed. Sage Publications, 2017.
HAIR, J. F. et al. When to use and how to report the results of PLS-SEM. European Business Review, v. 31, n. 1, p. 2-24, 2019.
HARA, N.; KLING, R. Students’ distress with a Web-based distance education course: an ethnographic study of participants’ experiences. Information, Communication and Society, v. 3, n. 4, p. 557–579, 2000.
HENSELER, J.; RINGLE, C. M.; SINKOVICS, R. R. The Use of Partial Least Squares Path Modeling in International Marketing. Advances in International Marketing. Bingley: Emerald, 2009.
HEO, J.; HAN, I. Performance measure of information systems (IS) in evolving computing environments: An empirical investigation. Information and Management, v. 40, n. 4, p. 243-256, 2003. DOI: http://dx.doi.org/10.1016/S0378-7206(02)00007-1.
HILTZ, S. R.; TUROFF, M. What makes learning networks effective? Commun. ACM, 45(4), 56–59. 2002.
HOGAN, T. P.; BENJAMIN, A.; BREZINSKI, K. L. Reliability methods: A note on the frequency of use of various types. Educationaland Psychological Measurement, v. 60, p. 523-531, 2000.
HOLLENBECK, C. R.; MASON, C. H.; SONG, J. H. Enhancing student learning in marketing courses: An exploration of fundamental principles for websiteplatforms. Journal of Marketing Education, v. 33, n. 2, p. 171-182. DOI: http://dx.doi.org/10.1016/j.chb.2005.10.006.
HOLMGREN, R. HAAKE, U.; SÖDERSTRÖM, T. Firefighter learning at a distance: a longitudinal study. Journal of Computer Assisted Learning, v. 33, n. 5, p. 500–512, 2017.
IGBARIA, M.; ZINATELLI, N.; CAVAYE, A. L. M. Analysis of information technology success in small firms in New Zealand. International Journal of Information Management, v. 18, n. 2, 103e119, 1998.
IVES, B.; OLSON, M. H. User involvement and MIS success: A review of research. Management Science, v. 30, n. 5, p. 586-603, 1984.
IVES, B.; OLSON, M.; BAROUDI, J. The Measurement of User Satisfaction. Communications of the ACM, v. 26, n. 10 785-793, 1983.
KIM, K. et al. The Impact of CMS Quality on the Outcomes of E-learning Systems in Higher Education: An Empirical Study. Decision Sciences Journal of Innovative Education, v. 10, n. 4, p. 575-587, 2012.
KLINE, R. B. Principles and practice of structural equation. The Guilford Press, 2011.
LAWRENCE, M.; LOW, G. Exploring individual user satisfaction within user-led development. MIS Quarterly (MISQ), p. 195-208, 1993.
MAKI, R. H. et al. Evaluation of a Web-based introductory psychology course: learning and satisfaction in online versus lecture courses. Behavior Research Methods, Instruments, and Computers, v. 32, n. 2, p. 230–239, 2000.
MOHAMMADI, H. Investigating users' perspectives on e-learning: An integration of TAM and IS success model. Computers in Human Behavior, v. 45, p. 359-374, 2015.
MORALES, C.; CORY, C.; BOZELL, D. A comparative efficiency study between a live lecture and a Web-based live-switched multi-camera streaming video distance learning instructional unit. In: INFORMATION RESOURCES MANAGEMENT ASSOCIATION INTERNATIONAL CONFERENCE, 2001, Toronto. Proceedings […]. Toronto, Ontario, 2001. p. 63–66.
MTEBE J. S.; RAISAMO R. A model For Assessing Learning Management System Success in Higher Education in Sub-Saharan Countries. EJISDC, v. 61, n. 7, p. 1-17, 2014.
NITZL, C.; HIRSCH, B. The drivers of a superior’s trust formation in his subordinate: The manager–management accountant example. Journal of Accounting and Organizational Change, v. 12, n. 4, p. 472-503, 2016.
ÖZDEMIR, S.; SONMEZ CAKIR, F.; ADIGUZEL, Z. "Examination of customer relations management in banks in terms of strategic, technological and innovation capability", Journal of Contemporary Marketing Science, v. 2, p. 176-195, 2022. DOI: https://doi.org/10.1108/JCMARS-12-2021-0044.
PAYNE, N. J. et al. Placing a hand in the fire: Assessing the impact of a YouTube experiential learning project on viral marketing knowledge acquisition. Journal of Marketing Education, n. 2, p. 204-216, 2011.
PETTER, S.; DELONE, W.; MCLEAN, E. Measuring information systems success: models, dimensions, measures, and interrelationships. European Journal of Information Systems, v. 17, n. 3, p. 236-263, 2008.
PETTER, S.; DELONE, W.; MCLEAN, E. R. The past, present, and future of IS success. Journal of the Association for Information Systems, v. 13, n. 5, p. 341-362, 2012.
PICCOLI, G.; AHMAD, R.; IVES, B. Web-based virtual learning environments: A research framework and a preliminary assessment of effectiveness in basic IT skills training. MIS Quarterly, v. 25, n. 4, p. 401–426, 2001.
PITT, L. F.; WATSON, R. T.; KAVAN, C. B. Service quality: A measure of information systems effectiveness. MIS Quarterly (MISQ), 173e187. 1995.
RAI, A.; LANG, S.; WELKER, R. Assessing the validity of IS success models: An empirical test and theoretical analysis. MIS Quarterly (MISQ), v. 13, n. 1, p. 50-69, 2002.
RATZMANN, M.; GUDERGAN, S. P.; BOUNCKEN, R. Capturing heterogeneity and PLS-SEM prediction ability: Alliance governance and innovation. Journal of Business Research, v. 69, n. 10, p. 4593-4603, 2016.
RAYMOND, L. Organization context and information systems success: A contingency approach. Journal of Management Information Systems, v. 6, n. 4, p. 5-20, 1990.
RAYMOND, L. Organizational characteristics and MIS success in the context of small business. MIS Quarterly (MISQ), v. 9, n. 1, v. 37, 1985. DOI: http://dx.doi.org/10.2307/249272.
ROCKART, J. F. The changing role of the information systems executive: A critical success factors perspective. MIS Quarterly Special Issue, dec. 1982.
SAKAGUCHI, T.; FROLICK, M. A review of data warehousing literature. Journal of Data Warehousing, v. 2, n. 1, p. 34-54, 1997.
SEDDON, P. B. et al. Dimensions of information systems success. Commun. AIS, v. 2, n. 3, 1999.
SRINIVASAN, A. Alternative measure of systems effectiveness: Association and implications. MIS Quarterly (MISQ), v. 9, n. 3, p. 243-253, 1985.
SUN, P.-C. et al. What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction. Computers and Education, v. 50, n. 4, p. 1183-1202, 2008. DOI: http://dx.doi.org/10.1016/j.compedu.2006.11.007.
SWAID, S. I.; WIGAND, R.T. Measuring the Quality of E-Service: Scale Development and Initial Validation. Journal of Electronic Commerce Research, v. 10, n. 13, 2009.
URBACH, N.; SMOLNIK, S.; RIEMPP, G. An empirical investigation of employee portal success. The Journal of Strategic Information Systems, v. 19, n. 3, 184e206, 2010. http://dx.doi.org/10.1016/j.jsis.2010.06.002.
WANG, Y.-S.; WANG, H.-Y.; SHEE, D. Y. Measuring e-learning systems success in an organizational context: Scale development and validation. Computers in Human Behavior, v. 23, n. 4, p. 1792-1808, 2007.
YAP, C.; SOH, C.; RAMAN, K. Information systems success factors in small business. Omega, v. 20, n. 5-6, p. 597-609, 1992. DOI: http://dx.doi.org/10.1016/0305-0483(92) 90005-R.
ZHANG, D. et al. Can E-Learnıng Replace Classroom Learning, Communıcatıons Of The Acm, v. 47, n. 5, 2004.
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