E-Learning Courseware Usability: Building a Theoretical Model

Based on a stream of research, this study identified four components of the e-learning courseware usability: fundamental, appearance, information presentation, and communication. The communication component was considered an expanded component of the e-learning courseware usability. A theoretical model was built and three hypotheses were developed to examine whether the communication component as an expanded component of the e-learning courseware usability significantly and positively contributed to the three components of the e-learning courseware usability (fundamental, appearance, and information presentation). An instrument was developed and administered to subjects taking various e-learning courses. The collected data were analyzed using a variance-based Structural Equation Modeling (SEM) package that uses Partial Least Square (PLS). Analyses of the results indicated a strong validated model supporting all stated hypotheses.

[1]  Alex Koohang,et al.  Knowledge Construction in e-Learning: An Empirical Validation of an Active Learning Model , 2013, J. Comput. Inf. Syst..

[2]  S. Rosenbaum,et al.  Usability evaluations versus usability testing: when and why? , 1989 .

[3]  Ken Sinclair,et al.  An empirical appraisal of the effectiveness of adaptive interfaces for instructional systems , 2000, J. Educ. Technol. Soc..

[4]  Alex Koohang A Study of Users' Perceptions toward E-Learning Courseware Usability. , 2004 .

[5]  R. Frank Falk,et al.  A Primer for Soft Modeling , 1992 .

[6]  Alex Koohang,et al.  Architecting Usability Properties in the E-Learning Instructional Design Process , 2004 .

[7]  Jakob Nielsen,et al.  Usability engineering , 1997, The Computer Science and Engineering Handbook.

[8]  Ergonomic requirements for office work with visual display terminals ( VDTs ) — Part 11 : Guidance on usability , 1998 .

[9]  J. Arbaugh Virtual Classroom Characteristics and Student Satisfaction with Internet-Based MBA Courses , 2000 .

[10]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[11]  Laura Czerniewicz,et al.  A study of the relationship between institutional policy, organisational culture and e-learning use in four South African universities , 2009, Comput. Educ..

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

[13]  Jakob Nielsen,et al.  Chapter 4 – The Usability Engineering Lifecycle , 1993 .

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

[15]  Matthew K. O. Lee,et al.  Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation , 2005, Inf. Manag..

[16]  Teresa Roselli,et al.  An approach to usability evaluation of e-learning applications , 2006, Universal Access in the Information Society.

[17]  Jakob Nielsen,et al.  Designing Web Usability: The Practice of Simplicity , 1999 .

[18]  Tor J. Larsen,et al.  The role of task-technology fit as users' motivation to continue information system use , 2009, Comput. Hum. Behav..

[19]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[20]  James R. Lewis,et al.  Psychometric Evaluation of the PSSUQ Using Data from Five Years of Usability Studies , 2002, Int. J. Hum. Comput. Interact..

[21]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[22]  Dan Bouhnik,et al.  Interaction in distance-learning courses , 2006, J. Assoc. Inf. Sci. Technol..

[23]  Luvai Motiwalla,et al.  Mobile learning: A framework and evaluation , 2007, Comput. Educ..

[24]  Marjan Hericko,et al.  A meta-analysis of e-learning technology acceptance: The role of user types and e-learning technology types , 2011, Comput. Hum. Behav..

[25]  Tzu-Hua Wang,et al.  Developing Web-based assessment strategies for facilitating junior high school students to perform self-regulated learning in an e-Learning environment , 2011, Comput. Educ..

[26]  Dana Chisnell,et al.  Handbook of Usability Testing , 2009 .

[27]  Maria Virvou,et al.  On the usability and likeability of virtual reality games for education: The case of VR-ENGAGE , 2008, Comput. Educ..

[28]  B. Bass,et al.  Predicting unit performance by assessing transformational and transactional leadership. , 2003, The Journal of applied psychology.

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

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

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

[32]  Turkka Keinonen Expected usability and product preference , 1997, DIS '97.

[33]  Gilly Salmon,et al.  Flying not flapping : a strategic framework for e-learning and pedagogical innovation in higher education institutions , 2005 .

[34]  Teresa Roselli,et al.  On the Usability Evaluation of E-Learning Applications , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[35]  R. A. Guillemette Usability in computer documentation design: conceptual and methodological considerations , 1989 .

[36]  Sean Larrangton-White Midm Designing Web Usability: The practice of simplicity , 2001 .

[37]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[38]  Yi-Shun Wang,et al.  Multi-criteria evaluation of the web-based e-learning system: A methodology based on learner satisfaction and its applications , 2008, Comput. Educ..

[39]  John J. Sosik,et al.  Silver Bullet or Voodoo Statistics? , 2009 .

[40]  Shu-Sheng Liaw,et al.  Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments , 2013, Comput. Educ..

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