Effectiveness of e-learning portal from students' perspective

E-learning has become an increasingly prevalent learning approach in higher educational institutions due to the fast growth of internet technologies in India. This paper aims to mainly focus on evaluating the effectiveness of the e-learning experience from students’ perceptive.,“Survey” method has been used to collect the data with the help of a structured questionnaire from the students who have registered on COURSERA (www.coursera.org/) website for e-learning. The questionnaire consisted of two sections e-learning system and e-learning effectiveness. E-learning system included items related to system quality, information quality and service quality. E-learning effectiveness dimension included user satisfaction and net benefits. The items in this section were measured on a five-point Likert scale ranging from strongly disagrees to strongly agree. The data collected have been analyzed using the SPSS version 17.0 and AMOS version 21.0.,Results show that system quality and service quality contribute more in e-learning system compared to information quality. Students perception may be that information available on the website may not be very useful as it’s a one-way mode of communication. The researcher also found that the three dimensions (system quality, service quality and information quality) of e-learning system contributes to user satisfaction and net benefits. Students are satisfied with e-learning websites and intent to continue to use it in future as well. They also found it beneficial as it helps them in career growth and making them employable.,This paper proposed a second-order model of e-learning system and a second-order model e-learning effectiveness. E-learning system has been defined by three first-order constructs: a system quality, service quality and information quality. E-learning effectiveness has been defined by two first-order constructs: a user satisfaction and net benefits. The predictability of the proposed model is high to explain the impact of e-learning system on e-learning effectiveness.

[1]  Fred D. Davis.  A technology acceptance model for empirically testing new end-user information systems : theory and results , 1985 .

[2]  Timothy Teo,et al.  Modeling the determinants of pre‐service teachers' perceived usefulness of e‐learning , 2011 .

[3]  Thurasamy Ramayah,et al.  Internet usage, user satisfaction, task-technology fit, and performance impact among public sector employees in Yemen , 2017 .

[4]  Hsin Hsin Chang,et al.  The impact of e-service quality, customer satisfaction and loyalty on e-marketing: Moderating effect of perceived value , 2009 .

[5]  Jane E. Klobas,et al.  A task-technology fit view of learning management system impact , 2009, Comput. Educ..

[6]  John A. Schibrowsky,et al.  The Interdependence of the Factors Influencing the Perceived Quality of the Online Learning Experience: A Causal Model , 2007 .

[7]  Shu-Sheng Liaw,et al.  Investigating students' perceived satisfaction, behavioral intention, and effectiveness of e-learning: A case study of the Blackboard system , 2008, Comput. Educ..

[8]  Matti Rossi,et al.  Mobile Games: Analyzing the Needs and Values of the Consumers , 2010 .

[9]  V. Zeithaml.  Service excellence in electronic channels , 2002 .

[10]  F. Durrieu,et al.  The impact of electronic service quality's dimensions on customer satisfaction and buying impulse , 2007 .

[11]  C. R. Franz,et al.  ORGANIZATIONAL CONTEXT, USER INVOLVEMENT, AND THE USEFULNESS OF INFORMATION SYSTEMS* , 1986 .

[12]  Adem Karahoca,et al.  E-learning success model for instructors' satisfactions in perspective of interaction and usability outcomes , 2011, WCIT.

[13]  Shahriar Akter,et al.  Application of the task-technology fit model to structure and evaluate the adoption of E-books by Academics , 2013, J. Assoc. Inf. Sci. Technol..

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

[16]  Kexin Zhao,et al.  The impacts of information quality and system quality on users' continuance intention in information-exchange virtual communities: An empirical investigation , 2013, Decis. Support Syst..

[17]  Mustafa Emre Civelek,et al.  The Mediator Roles Of Attitude Toward The Web Site And User Satisfaction On The Effect Of System Quality On Net Benefit: A Structural Equation Model On Web Site Success , 2016 .

[18]  Melissa Shahrom,et al.  The Role of Cognitive Styles in Investigating E-learning Usability , 2010, 2010 International Conference on e-Education, e-Business, e-Management and e-Learning.

[19]  Barbara Wixom,et al.  Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing , 2005, J. Manag. Inf. Syst..

[20]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[21]  Ananthanarayanan Parasuraman,et al.  Assessing and improving service performancefor maximum impact: insights from a two‐decade‐long research journey , 2004 .

[22]  Manuela Aparicio,et al.  Grit in the path to e-learning success , 2017, Comput. Hum. Behav..

[23]  P. Bentler,et al.  Comparative fit indexes in structural models. , 1990, Psychological bulletin.

[24]  P. Bentler,et al.  Significance Tests and Goodness of Fit in the Analysis of Covariance Structures , 1980 .

[25]  Szu-Yuan Sun,et al.  Usability, quality, value and e-learning continuance decisions , 2005, Comput. Educ..

[26]  Donald R. Jones,et al.  User satisfaction with Web-based DSS: The role of cognitive antecedents , 2011, Int. J. Inf. Manag..

[27]  Wei Song,et al.  Web Text Clustering for Personalized E-learning Based on Maximal Frequent Itemsets , 2008, 2008 International Conference on Computer Science and Software Engineering.

[28]  Olivia R. Liu Sheng,et al.  e-SELFQUAL: A scale for measuring online self-service quality , 2011 .

[29]  Clyde W. Holsapple,et al.  Defining, Assessing, and Promoting E‐Learning Success: An Information Systems Perspective* , 2006 .

[30]  Hei-Chia Wang,et al.  Assessing e-learning 2.0 system success , 2011, Comput. Educ..

[31]  Chun-Chieh Wang,et al.  An empirical study of instructor adoption of web-based learning systems , 2009, Comput. Educ..

[32]  Stephen R. Gulliver,et al.  Factors determining e-learning service quality , 2018, Br. J. Educ. Technol..

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

[34]  Samantha Malkanthi Samarasinghe.  e-Learning systems success in an organisational context : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Management Information Systems at Massey University, Palmerston North, New Zealand , 2012 .

[35]  Guglielmo Trentin,et al.  Using a wiki to evaluate individual contribution to a collaborative learning project , 2009, J. Comput. Assist. Learn..

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

[37]  J. Ferguson,et al.  Length of online course and student satisfaction, perceived learning, and academic performance , 2010 .

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

[39]  Ching-Jen Chen,et al.  Validating the Satisfaction and Continuance Intention of E-learning Systems: Combining TAM and IS Success Models , 2012, Int. J. Distance Educ. Technol..

[40]  Eric T. G. Wang,et al.  Understanding Web-based learning continuance intention: The role of subjective task value , 2008, Inf. Manag..

[41]  Sean B. Eom,et al.  The Determinants of Students' Perceived Learning Outcomes and Satisfaction in University Online Education: An Empirical Investigation* , 2006 .

[42]  Younghwa Lee,et al.  Investigating the effect of website quality on e-business success: An analytic hierarchy process (AHP) approach , 2006, Decis. Support Syst..

[43]  Kevin Dobbs.  Who's in Charge of E-Learning?. , 2000 .

[44]  Godwin J. Udo,et al.  Factors Affecting E-Commerce Web Site Effectiveness , 2002, J. Comput. Inf. Syst..

[45]  David Fabianic.  Online instruction and site assessment , 2002 .

[46]  J. H. Steiger.  Structural Model Evaluation and Modification: An Interval Estimation Approach. , 1990, Multivariate behavioral research.

[47]  William J. Kettinger,et al.  Understanding the consequences of information systems service quality on IS service reuse , 2009, Inf. Manag..

[48]  Koen Vanhoof,et al.  The role of knowledge management and e-learning in professional development , 2008, Int. J. Knowl. Learn..

[49]  Nava Pliskin,et al.  Measuring User Satisfaction and Perceived Usefulness in the ERP Context , 2005, J. Comput. Inf. Syst..

[50]  Vincent Cho,et al.  Comparing e-Learning tools' success: The case of instructor-student interactive vs. self-paced tools , 2011, Comput. Educ..

[51]  D. Harrison McKnight,et al.  Perceived Information Quality in Data Exchanges: Effects on Risk, Trust, and Intention to Use , 2006, Inf. Syst. Res..

[52]  Haiyan Kong,et al.  The relationship between learning satisfaction and career competencies , 2014 .

[53]  Woong-Kyu Lee,et al.  The relationship of e-Learner's self-regulatory efficacy and perception of e-Learning environmental quality , 2008, Comput. Hum. Behav..

[54]  G. Hutcheson.  The Multivariate Social Scientist , 1999 .

[55]  Narasimhaiah Gorla,et al.  Organizational impact of system quality, information quality, and service quality , 2010, J. Strateg. Inf. Syst..

[56]  L. Tucker,et al.  A reliability coefficient for maximum likelihood factor analysis , 1973 .

[57]  Dan Jong Kim,et al.  Customer self-service systems: The effects of perceived Web quality with service contents on enjoyment, anxiety, and e-trust , 2007, Decis. Support Syst..

[58]  Kai Wang,et al.  The adoption of mobile value‐added services: Investigating the influence of IS quality and perceived playfulness , 2012 .

[59]  Kenneth A. Bollen,et al.  Overall Fit in Covariance Structure Models: Two Types of Sample Size Effects , 1990 .

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

[61]  Chung-Kuang Hou,et al.  Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry , 2012, Int. J. Inf. Manag..

[62]  Jurek Kirakowski,et al.  Measuring user-satisfaction with electronic consumer products: The Consumer Products Questionnaire , 2011, Int. J. Hum. Comput. Stud..

[63]  Ren-Jye Dzeng,et al.  Construction safety training via e-Learning: Learning effectiveness and user satisfaction , 2010, Comput. Educ..

[64]  V. Zeithaml,et al.  E-S-QUAL A Multiple-Item Scale for Assessing Electronic Service Quality , 2004 .

[65]  Khaled A. Alshare,et al.  IS Success Model in E-Learning Context Based on Students' Perceptions , 2010, J. Inf. Syst. Educ..

[66]  Naresh K. Malhotra,et al.  A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena , 2005, Manag. Sci..

[67]  Jessica Santos.  E‐service quality: a model of virtual service quality dimensions , 2003 .

[68]  Jen-Her Wu,et al.  An organizational memory information systems success model: an extension of DeLone and McLean's I/S success model , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

[69]  Marcy F. Reisetter,et al.  Belonging Online: Students' Perceptions of the Value and Efficacy of an Online Learning Community , 2008 .

[70]  Sevgi Özkan,et al.  Multi-dimensional students' evaluation of e-learning systems in the higher education context: An empirical investigation , 2009, Comput. Educ..

[71]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[72]  Yi-Shun Wang,et al.  Measuring e-learning systems success in an organizational context: Scale development and validation , 2007, Comput. Hum. Behav..

[73]  Da Ruan,et al.  Evaluating e‐learning web site quality in a fuzzy environment , 2007, Int. J. Intell. Syst..

[74]  C. Grönroos.  A Service Quality Model and its Marketing Implications , 1984 .

[75]  Ibrahim Almarashdeh,et al.  Sharing instructors experience of learning management system: A technology perspective of user satisfaction in distance learning course , 2016, Comput. Hum. Behav..

[76]  Fatemeh Zahedi,et al.  The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach , 2002, Inf. Syst. Res..

[77]  Fábio Nazareno Machado-da-Silva,et al.  Student Satisfaction Process In Virtual Learning System: Considerations Based In Information And Service Quality From Brazil’s Experience , 2014 .

[78]  Miroslava Raspopovic,et al.  Success factors for e-learning in a developing country: A case study of Serbia , 2014 .

[79]  Darshana Sedera,et al.  Re-conceptualizing Information System Success: The IS-Impact Measurement Model , 2008, J. Assoc. Inf. Syst..

[80]  David C. Thompson,et al.  Educational Technology Use Among US Colleges and Schools of Pharmacy , 2011, American Journal of Pharmaceutical Education.

[81]  Toni M. Somers,et al.  Confirmatory Factor Analysis of the End-User Computing Satisfaction Instrument: Replication within an ERP Domain , 2003, Decis. Sci..

[82]  Thurasamy Ramayah,et al.  The role of transformational leadership as a mediating variable in DeLone and McLean information system success model: The context of online learning usage in Yemen , 2018, Telematics Informatics.

[83]  Ming-Chien Hung,et al.  Assessing the Quality of a Web-based Learning System for Nurses , 2009, Journal of Medical Systems.

[84]  Abdelkamel Tari,et al.  Exploring user satisfaction for e-learning systems via usage-based metrics and system usability scale analysis , 2016, Comput. Hum. Behav..

[85]  R. Kline.  Promise and pitfalls of structural equation modeling in gifted research. , 2010 .

[86]  Heeseok Lee,et al.  Formation of e-satisfaction and repurchase intention: Moderating roles of computer self-efficacy and computer anxiety , 2009, Expert Syst. Appl..

[87]  Christo Boshoff,et al.  A Psychometric Assessment of E-S-Qual: A Scale to Measure Electronic Service Quality , 2007 .

[88]  Tzyh-Lih Hsia,et al.  A study of student satisfaction in a blended e-learning system environment , 2010, Comput. Educ..

[89]  Ephraim R. McLean,et al.  Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model , 2004, Int. J. Electron. Commer..

[90]  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..

[91]  Tiago Oliveira,et al.  E-learning success determinants: Brazilian empirical study , 2018, Comput. Educ..

[92]  Su-Chao Chang,et al.  An empirical investigation of students' behavioural intentions to use the online learning course websites , 2007, Br. J. Educ. Technol..

[93]  Gino Verleye,et al.  User-centered E-Government in practice: A comprehensive model for measuring user satisfaction , 2009, Gov. Inf. Q..

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

[95]  Edward Bernroider,et al.  IT governance for enterprise resource planning supported by the DeLone-McLean model of information systems success , 2008, Inf. Manag..

[96]  Anita Lee-Post.  e-Learning Success Model: An Information Systems Perspective. , 2009 .

[97]  R. Arteaga Sánchez,et al.  Motivational factors that influence the acceptance of Moodle using TAM , 2010, Comput. Hum. Behav..

[98]  Wen-Shan Lin,et al.  Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit , 2012, Comput. Educ..

[99]  Thomas Hess,et al.  Service Quality in Software-as-a-Service: Developing the SaaS-Qual Measure and Examining Its Role in Usage Continuance , 2011, J. Manag. Inf. Syst..

[100]  Ming-Lang Tseng,et al.  Evaluating the effectiveness of e-learning system in uncertainty , 2011, Ind. Manag. Data Syst..

[101]  Tomás Kincl,et al.  Measuring website quality: asymmetric effect of user satisfaction , 2012, Behav. Inf. Technol..

[102]  Chanaka Jayawardhena,et al.  Measurement of Service Quality in Internet Banking: The Development of an Instrument , 2004 .

[103]  Adeyinka Tella,et al.  Journal of Information Technology Education Reliability and Factor Analysis of a Blackboard Course Management System Success: a Scale Development and Validation in an Educational Context Editor: Anthony Scime Blackboard Course Management System Success Theoretical Framework Blackboard Course Managem , 2022 .

[104]  Ephraim R. McLean,et al.  A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level , 2009, Inf. Manag..

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

[106]  Diane M. Strong,et al.  Beyond Accuracy: What Data Quality Means to Data Consumers , 1996, J. Manag. Inf. Syst..

[107]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[108]  Salima Benbernou,et al.  A survey on service quality description , 2013, CSUR.

[109]  Sang-Heon Cho,et al.  The virtual asthma guideline e-learning program: learning effectiveness and user satisfaction , 2017, The Korean journal of internal medicine.

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

[111]  Binshan Lin,et al.  Influence of online learning skills in cyberspace , 2010, Internet Res..

[112]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[113]  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..

[114]  Barbara L. Stewart,et al.  Valuing the adult learner in e‐learning: part one – a conceptual model for corporate settings , 2005 .

[115]  Barbara L. Stewart,et al.  Valuing the adult learner in e‐learning: part two – insights from four companies , 2005 .

[116]  Edda Tandi Lwoga,et al.  Measuring the success of library 2.0 technologies in the African context , 2013 .

[117]  Kjetil L. Nielsen,et al.  Experiences Obtained with Integration of Student Response Systems for iPod Touch and iPhone into e-Learning Environments , 2010 .

[118]  Chien-Hung Liu,et al.  Learning effectiveness in a Web-based virtual learning environment: a learner control perspective , 2005, J. Comput. Assist. Learn..

[119]  Young A. Park,et al.  Success Factors for Destination Marketing Web Sites: A Qualitative Meta-Analysis , 2007 .

[120]  Dorothy A. Yen,et al.  IMO and internal branding outcomes : an employee perspective in UK , 2016 .

[121]  Fred D. Davis.  Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[122]  Chao-Min Chiu,et al.  Examining the integrated influence of fairness and quality on learners’ satisfaction and Web‐based learning continuance intention , 2007, Inf. Syst. J..