Key factors to instructors’ satisfaction of learning management systems in blended learning

Learning Management System (LMS) enables institutions to administer their educational resources, and support their traditional classroom education and distance education. LMS survives through instructors’ continuous use, which may be to a great extent associated with their satisfaction of the LMS. Consequently, this study examined the key factors that influence the instructors’ satisfaction of LMS in blended learning, and how this satisfaction is related to their intention to continuously use LMS in blended learning and purely for distance education. These investigated factors are related to instructors’ individual characteristics (computer anxiety, technology experience and personal innovativeness), LMS characteristics (system quality, information quality and service quality), and organizational characteristics (management support, incentives policy and training). The findings indicated that computer anxiety, personal innovativeness, system quality, information quality, management support, incentives policy and training are key factors to instructors’ satisfaction of LMS in blended learning. Furthermore, instructors’ satisfaction is a significant determinant of their continuous intention to use LMS in blended learning, and their intention to purely use LMS for distance education.

[1]  Abdulkafi Albirini,et al.  Teachers' attitudes toward information and communication technologies: the case of Syrian EFL teachers , 2006, Comput. Educ..

[2]  George A. Marcoulides,et al.  Modern methods for business research , 1998 .

[3]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[4]  Yulin Fang,et al.  The Role of Information Technology in Technology- Mediated Learning: A Review of the Past for the Future , 2007, AMCIS.

[5]  Mary Sumner,et al.  Factors Influencing the Adoption of Technology in Teaching , 1999 .

[6]  Wynne W. Chin,et al.  Structural equation modeling analysis with small samples using partial least squares , 1999 .

[7]  中村 肇,et al.  Learning Management System (Learning Space)を利用した医学部におけるe-ラーニングシステムの利用と現状 , 2003 .

[8]  Rolph E. Anderson,et al.  Multivariate Data Analysis: Text and Readings , 1979 .

[9]  Somaiya Naidu,et al.  E-Learning: A Guidebook of Principles, Procedures and Practices , 2003 .

[10]  William J. Kettinger,et al.  Perceived Service Quality and User Satisfaction with the Information Services Function , 1994 .

[11]  M. Tsui,et al.  A Virtual Learning Environment for Part-Time MASW Students: An Evaluation of the WebCT , 2008 .

[12]  J. Webster,et al.  Teaching Effectiveness in Technology-Mediated Distance Learning , 1997 .

[13]  R. Hoyle.  Statistical Strategies for Small Sample Research , 1999 .

[14]  Connie Ulasewicz,et al.  Faculty Perspectives on Moving from Blackboard to the Moodle Learning Management System , 2006 .

[15]  Jane E. Klobas,et al.  The role of involvement in learning management system success , 2010, J. Comput. High. Educ..

[16]  Efraim Turban,et al.  Introduction to Information Systems: Supporting and Transforming Business Wiley Plus Stand-alone , 2007 .

[17]  Brian L. Hawkins,et al.  EDUCAUSE Core Data Service: Fiscal Year 2005 Summary Report. , 2006 .

[18]  Marilynn B. Brewer,et al.  Principles and Methods of Social Research , 1986 .

[19]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[20]  Hsiu-Ping Yueh,et al.  Designing a learning management system to support instruction , 2008, CACM.

[21]  Blake Ives,et al.  Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effectiveness in Basic It Skills Training Author(s): Piccoli Et Al./web-based Virtual Learning Environments Web-based Virtual Learning Environments: a Research Framework and a Preliminary Assessment of Effe , 2022 .

[22]  Kamla Ali Al-Busaidi,et al.  Instructors' Acceptance of Learning Management Systems: A Theoretical Framework , 2010 .

[23]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[24]  Peter B. Seddon.  A Respecification and Extension of the DeLone and McLean Model of IS Success , 1997, Inf. Syst. Res..

[25]  Deborah Compeau,et al.  Intentions to Use Information Technologies: An Integrative Model , 2006, J. Organ. End User Comput..

[26]  R. W. Burniske.  Breaking down the digital walls , 2001 .

[27]  Mariusz Kąkolewicz.  Robert A. Reiser , John V. Dempsey (ed.), Trends and Issues in Instructional Design and Technology, (Trendy i zagadnienia projektowania i technologii kształcenia), Merrill Prentice Hall Upper Sadle River, New Jersey, Columbus, Ohio, 2002, ss. 415 , 2003 .

[28]  Jason D. Baker,et al.  Hybrid structures: Faculty use and perception of web-based courseware as a supplement to face-to-face instruction , 2004, Internet High. Educ..

[29]  Timothy Teo,et al.  Modelling technology acceptance in education: A study of pre-service teachers , 2009, Comput. Educ..

[30]  Dowming Yeh,et al.  What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction , 2008, Comput. Educ..

[31]  Gwo-Dong Chen,et al.  Surveying instructor and learner attitudes toward e-learning , 2007, Comput. Educ..

[32]  Thomas M. Kelly,et al.  Managing Intellectual Capital — via E-Learning — at Cisco , 2003 .

[33]  H. Tohidi,et al.  Organizational culture and leadership , 2012 .

[34]  Shi Yong-gui,et al.  What Drives a Successful E-Learning? A Comparative Research between China Mainland and Taiwan , 2008, 2008 International Symposium on Intelligent Information Technology Application Workshops.

[35]  Martin Mulder,et al.  Determining factors of the use of e-learning environments by university teachers , 2008, Comput. Educ..

[36]  Abbas J. Ali.  Management Theory in a Transitional Society: the Arab’s Experience , 1990 .

[37]  David A. Falvo,et al.  The Use of Learning Management Systems in the United States , 2007 .

[38]  Chao-Min Chiu,et al.  Understanding e-learning continuance intention: An extension of the Technology Acceptance Model , 2006, Int. J. Hum. Comput. Stud..

[39]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[40]  Richard Walker,et al.  A longitudinal perspective regarding the use of VLEs by higher education institutions in the United Kingdom , 2006, Interact. Learn. Environ..

[41]  Charlie C. Chen,et al.  An Integrative Model to Predict the Continuance Use of Electronic Learning Systems: Hints for Teaching , 2006 .

[42]  Magid Igbaria,et al.  End-user computing effectiveness: A structural equation model , 1990 .

[43]  Ya-Ching Lee,et al.  An empirical investigation into factors influencing the adoption of an e-learning system , 2006, Online Inf. Rev..

[44]  Erik M. van Raaij,et al.  The acceptance and use of a virtual learning environment in China , 2008, Comput. Educ..

[45]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[46]  Brian L. Hawkins,et al.  EDUCAUSE Core Data Service, 2003. Summary Report. , 2004 .

[47]  Robert A. Reiser.  A history of instructional design and technology: Part II: A history of instructional design , 2001 .

[48]  Wynne W. Chin.  The partial least squares approach for structural equation modeling. , 1998 .

[49]  Keenan A. Pituch,et al.  The influence of system characteristics on e-learning use , 2006, Comput. Educ..

[50]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[51]  Terry Ryan,et al.  The Role of Social Presence and Moderating Role of Computer Self-Efficacy in Predicting the Continuance Usage of E-Learning Systems , 2004, J. Inf. Syst. Educ..

[52]  Ross Singer,et al.  Why university members use and resist technology? A structure enactment perspective , 2010, J. Comput. High. Educ..

[53]  C. AczelJ.,et al.  Designing capacity-building in e-learning expertise , 2008 .

[54]  Robert A. Reiser,et al.  Trends and issues in instructional design and technology , 2002 .

[55]  R. Moenaert,et al.  The Adoption of Information Technology in the Sales Force , 2005 .

[56]  Yair Levy,et al.  Emerging Educational Technology: Assessing the Factors that Influence Instructors' Acceptance in Information Systems and Other Classrooms , 2008, J. Inf. Syst. Educ..

[57]  J. C. Aczel,et al.  Designing capacity-building in e-learning expertise: Challenges and strategies , 2008, Comput. Educ..

[58]  E. Schein.  Organizational Culture and Leadership , 1991 .

[59]  Michael R. Simonson,et al.  Development of a Standardized Test of Computer Literacy and a Computer Anxiety Index , 1987 .

[60]  Kevin Reid,et al.  Modularizing Information Literacy Training via the Blackboard eCommunity , 2009 .