Blended learning became the most popular educational model that universities apply for teaching and learning. This model combines online and face-to-face learning environments, in order to enhance learning with implementation of new web technologies and tools in learning process. In this paper principles of DeLone and Mclean success model for information system are applied to Kano two-dimensional model, for categorizing quality attributes related to satisfaction of students with web based learning system used in blended learning model. Survey results are obtained among the students at “Mediterranean” University in Montenegro. The (dys)functional dimensions of Kano model, including Kano basic matrix for assessment of the degree of students’ satisfaction level, have been considered in some more detail through corresponding numerical, graphical, and statistical analysis. 1. Introduction Facing many rapid changes and challenges brought by new technologies and competitive pressure, higher education institutions are trying to innovate their service and raise their public reputation. Education is undergoing a dramatic transformation. Technology plays a powerful role in the life of today’s students and institutions can no longer meet their needs through classroom-based instruction alone. Higher education institutions are increasingly focusing on determining the right model to integrate technologies in teaching and learning in order to fulfill students’ needs and provide education and skills needed for the future society. Blended learning is one way in which institutions can prepare themselves for the next era in education [1, 2]. It offers new opportunities for combining face-to-face and online teaching and learning. This includes different learning or instructional methods (lecture, discussion, guided practice, reading, games, case study, and simulation), different delivery methods (live classroom or computer mediated), different scheduling (synchronous or asynchronous), and different levels of guidance (individual, instructor or expert led, or group/social learning). There are many definitions of blended learning and yet no single accepted one. In the scope of this study we should refer blended learning to a formal education program in which a student learns at least in part through online learning, with some elements of student control over time, place, path, and/or pace [3]. Measuring student satisfaction with web based learning systems has been an important issue for the researchers and academia. At the Americas Conference on Information Systems (AMCIS) as
References
[1]
D. R. Garrison and H. Kanuka, “Blended learning: uncovering its transformative potential in higher education,” Internet and Higher Education, vol. 7, no. 2, pp. 95–105, 2004.
[2]
R. Owston, D. York, and S. Murtha, “Student perceptions and achievement in a university blended learning strategic initiative,” The International and Higher Education, vol. 18, pp. 38–46, 2013.
[3]
Clayton Christensen Institute for Disruptive Innovation (2012-2013), “Blended Learning Model Definitions,” http://www.christenseninstitute.org/blended-learning-model-definitions/.
[4]
J. J. Summers, A. Waigandt, and T. A. Whittaker, “A comparison of student achievement and satisfaction in an online versus a traditional face-to-face statistics class,” Innovative Higher Education, vol. 29, no. 3, pp. 233–250, 2005.
[5]
C.-M. Chiu, M.-H. Hsu, S.-Y. Sun, T.-C. Lin, and P.-C. Sun, “Usability, quality, value and e-learning continuance decisions,” Computers and Education, vol. 45, no. 4, pp. 399–416, 2005.
[6]
P. B. Seddon, “A respecification and extension of the DeLone and McLean model of IS success,” Information Systems Research, vol. 8, no. 3, pp. 240–253, 1997.
[7]
V. McKinney, K. Yoon, and F. Zahedi, “The measurement of Web-customer satisfaction: an expectation and disconfirmation approach,” Information Systems Research, vol. 13, no. 3, pp. 296–315, 2002.
[8]
B. Ives, M. H. Olson, and J. J. Baroudi, “The measurement of user information satisfaction,” Communications of the ACM, vol. 26, no. 10, pp. 785–793, 1983.
[9]
S. Muylle, R. Moenaert, and M. Despontin, “The conceptualization and empirical validation of web site user satisfaction,” Information and Management, vol. 41, no. 5, pp. 543–560, 2004.
[10]
J. A. Tessier, W. W. Crouch, and P. Atherton, “New measures of user satisfaction with computer-based literature searches,” Special Libraries, vol. 68, pp. 383–389, 1977.
[11]
R. Beeler, “The relationship of user fees and user satisfaction,” in Proceedings of the 3th National Online Meeting, pp. 24–26, University of Technology Science, New York, NY, USA, 1981.
[12]
G. Momenee, “Asking the right question: why not Info Track?” Research Strategies, vol. 5, pp. 186–190, 1987.
[13]
M. Khalifa and L. Vanessa, “State of research on information system satisfaction,” 2004, http://www.questia.com/library/1P3-666972001/the-state-of-research-on-information-system-satisfaction.
[14]
R. Applegate, “Models of user satisfaction: understanding false positives,” RQ, vol. 32, no. 4, pp. 525–539, 1993.
[15]
M. Paechter, B. Maier, and D. Macher, “Students' expectations of, and experiences in e-learning: their relation to learning achievements and course satisfaction,” Computers and Education, vol. 54, no. 1, pp. 222–229, 2010.
[16]
W. J. Doll and G. Torkzadeh, “The measurement of end-user computing satisfaction,” MIS Quarterly, vol. 12, no. 2, pp. 259–273, 1988.
[17]
W. J. Doll, X. Deng, T. S. Raghunathan, G. Torkzadeh, and W. Xia, “The meaning and measurement of user satisfaction: a multigroup invariance analysis of the end-user computing satisfaction instrument,” Journal of Management Information Systems, vol. 21, no. 1, pp. 227–262, 2004.
[18]
W. H. DeLone and E. R. McLean, “The DeLone and McLean model of information systems success: a ten-year update,” Journal of Management Information Systems, vol. 19, no. 4, pp. 9–30, 2003.
[19]
S. Ozkan and R. Koseler, “Multi-dimensional students' evaluation of e-learning systems in the higher education context: an empirical investigation,” Computers and Education, vol. 53, no. 4, pp. 1285–1296, 2009.
[20]
B.-C. Lee, J.-O. Yoon, and I. Lee, “Learners' acceptance of e-learning in South Korea: theories and results,” Computers and Education, vol. 53, no. 4, pp. 1320–1329, 2009.
[21]
N. Matsatsinis, E. Grigoroudis, and P. Delias, “Customer satisfaction and e-learning systems: towards a multi-criteria evaluation methodology,” Operational Research, vol. 3, no. 3, pp. 249–259, 2003.
[22]
A. Lee-Post, “E-learning success model: an information systems perspective,” Electronic Journal of E-Learning, vol. 7, no. 1, pp. 61–70, 2009.
[23]
Y.-S. Wang, “Assessment of learner satisfaction with asynchronous electronic learning systems,” Information and Management, vol. 41, no. 1, pp. 75–86, 2003.
[24]
D. Y. Shee and Y.-S. Wang, “Multi-criteria evaluation of the web-based e-learning system: a methodology based on learner satisfaction and its applications,” Computers and Education, vol. 50, no. 3, pp. 894–905, 2008.
[25]
L. H. Chen and H. C. Lin, “Integrating Kano's model into E-learning satisfaction,” in Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM '07), pp. 297–301, Singapore IEEE Engineering Management Society Singapore Center & IEEE Singapore Section, Singapore, December 2007.
[26]
G. Dominici and F. Palumbo, “How to build an e-learning product: factors for student/customer satisfaction,” Business Horizons—Kelley School of Business, Indiana University, vol. 56, pp. 87–96, 2013.
[27]
K. Matzler and H. H. Hinterhuber, “How to make product development projects more successful by integrating Kano's model of customer satisfaction into quality function deployment,” Technovation, vol. 18, no. 1, pp. 25–38, 1998.
[28]
S. J. Schvaneveldt, T. Enkawa, and M. Miyakawa, “Consumer evaluation perspectives of service quality: evaluation factors and two-way model of quality,” Total Qualaity Management, vol. 2, no. 2, pp. 149–161, 1991.
[29]
N. Kano, “Attractive quality and must be quality,” Hinshitsu (Quality), vol. 14, no. 2, pp. 147–156, 1984.
[30]
B. L. Bayus, S. Jain, and A. G. Rao, “Too little, too early: introduction timing and new product performance in the personal digital assistant industry,” Journal of Marketing Research, vol. 34, pp. 50–63, 1997.
[31]
D. Walden, “A special issue on: Kano’s methods for understanding customer defined quality,” Center For Quality of Management Journal, vol. 2, no. 4, pp. 1–37, 1993.
[32]
D. Bertsekas and J. Tsitsiklis, Introduction To Probability, Athena Scientific, Nashua, NH, USA, 2nd edition, 2008.
[33]
K. Weltner, W. J. Weber, J. Grosjean, and P. Schuster, Mathematics for Physicists and Engineers (Fundamentals and Interactive Study Guide), Springer, Berlin, Germany, 2009.
[34]
R. Taylor, “Interpretation of the correlation coefficient: a basic review,” Journal of Diagnostic Medical Sonography, vol. 6, no. 1, pp. 35–39, 1990.
