Empirical lecturers’ and students’ satisfaction assessment in e-learning systems based on the usage metrics
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Ahn, J., Kim, K., & Proctor, R. W. (2018). Comparison of mobile web browsers for smartphones. Journal of Computer Information Systems, 58(1), 10-18. https://doi.org/10.1080/08874417.2016.1180652
AlGhannam, B. A., Albustan, S. A., Al-Hassan, A. A., & Albustan, L. A. (2017). Towards a standard Arabic system usability scale: Psychometric evaluation using communication disorder app. International Journal of Human–Computer Interaction, 34(9), 1–6. https://doi.org/10.1080/10447318.2017.1388099
Almarashdeh, I. (2016). Sharing instructors experience of learning management system: A technology perspective of user satisfaction in distance learning course. Computers in Human Behavior, 63, 249–255. https://doi.org/10.1016/j.chb.2016.05.013
Asoodar, M., Vaezi, S., & Izanloo, B. (2016a). Framework to improve e-learner satisfaction and further strengthen e-learning implementation. Computers in Human Behavior, 63, 704–716. https://doi.org/10.1016/j.chb.2016.05.060
Asoodar, M., Vaezi, S., & Izanloo, B. (2016b). Framework to improve e-learner satisfaction and further strengthen e-learning implementation. Computers in Human Behavior, 63, 704–716. https://doi.org/10.1016/j.chb.2016.05.060
Berkman, M. İ., Karahoca, D., & Karahoca, A. (2018). A measurement and structural model for usability evaluation of shared workspace groupware. International Journal of Human-Computer Interaction, 34(1), 35–56. https://doi.org/10.1080/10447318.2017.1326578
Borkowska, A., & Jach, K. (2017). Pre-testing of Polish translation of System Usability Scale (SUS). Advances in Intelligent Systems and Computing, 521, 143-153. https://doi.org/10.1007/978-3-319-46583-8_12
Bringula, R. P. (2013). Influence of faculty- and web portal design-related factors on web portal usability: A hierarchical regression analysis. Computers and Education, 68, 187-198. https://doi.org/10.1016/j.compedu.2013.05.008
Caputi, V., & Garrido, A. (2015). Student-oriented planning of e-learning contents for Moodle. Journal of Network and Computer Applications, 53, 115–127. https://doi.org/10.1016/j.jnca.2015.04.001
Casamayor, A., Amandi, A., & Campo, M. (2009). Intelligent assistance for teachers in collaborative e-learning environments. Computers and Education, 53(4), 1147–1154. https://doi.org/10.1016/j.compedu.2009.05.025
Chen, P.-H., & Adesope, O. (2016). The effects of need satisfaction on EFL online learner satisfaction. Distance Education, 37(1), 89–106. https://doi.org/10.1080/01587919.2016.1155962
Cohen, A., & Baruth, O. (2017). Personality, learning, and satisfaction in fully online academic courses. Computers in Human Behavior, 72, 1–12. https://doi.org/10.1016/j.chb.2017.02.030
Curcio, K., Santana, R., Reinehr, S., & Malucelli, A. (2019). Usability in agile software development: A tertiary study. Computer Standards and Interfaces, 64, 61-77. https://doi.org/10.1016/j.csi.2018.12.003
Gameel, B. G. (2017). Learner satisfaction with massive open online courses. American Journal of Distance Education, 31(2), 98–111. https://doi.org/10.1080/08923647.2017.1300462
Haron, H., Aziz, N. H. N., & Harun, A. (2017). A conceptual model participatory engagement within e-learning community. Procedia Computer Science, 116, 242–250. https://doi.org/10.1016/j.procs.2017.10.046
Harrati, N., Bouchrika, I., Tari, A., & Ladjailia, A. (2016). Exploring user satisfaction for e-learning systems via usage-based metrics and system usability scale analysis. Computers in Human Behavior, 61, 463–471. https://doi.org/10.1016/j.chb.2016.03.051
Hong, J. C., Tai, K. H., Hwang, M. Y., Kuo, Y. C., & Chen, J. S. (2017). Internet cognitive failure relevant to users’ satisfaction with content and interface design to reflect continuance intention to use a government e-learning system. Computers in Human Behavior, 66, 353–362. https://doi.org/10.1016/j.chb.2016.08.044
Horvat, A., Dobrota, M., Krsmanovic, M., & Cudanov, M. (2015). Student perception of Moodle learning management system: A satisfaction and significance analysis. Interactive Learning Environments, 23(4), 515–527. https://doi.org/10.1080/10494820.2013.788033
Ifinedo, P., Pyke, J., & Anwar, A. (2018). Business undergraduates’ perceived use outcomes of Moodle in a blended learning environment: The roles of usability factors and external support. Telematics and Informatics, 35(1), 93–102). https://doi.org/10.1016/j.tele.2017.10.001
Kerimbayev, N., Kultan, J., Abdykarimova, S., & Akramova, A. (2017). LMS Moodle: Distance international education in cooperation of higher education institutions of different countries. Education and Information Technologies, 22(5), 2125–2139. https://doi.org/10.1007/s10639-016-9534-5
Kim, J. (2013). Influence of group size on students’ participation in online discussion forums. Computers & Education, 62, 123-129. https://doi.org/10.1016/j.compedu.2012.10.025
Koohang, A., Paliszkiewicz, J., Gołuchowski, J., & Nord, J. H. (2016). Active learning for knowledge construction in e-learning: A replication study. Journal of Computer Information Systems, 56(3), 238–243. https://doi.org/10.1080/08874417.2016.1153914
Ku, H. Y., Tseng, H. W., & Akarasriworn, C. (2013). Collaboration factors, teamwork satisfaction, and student attitudes toward online collaborative learning. Computers in Human Behavior, 29(3), 922–929. https://doi.org/10.1016/j.chb.2012.12.019
Liberona, D., & Fuenzalida, D. (2014). Use of Moodle platforms in higher education: A Chilean case. Communications in Computer and Information Science, 446, 124–134. https://doi.org/10.1007/978-3-319-10671-7_12
Lin, J. W. (2018). Effects of an online team project-based learning environment with group awareness and peer evaluation on socially shared regulation of learning and self-regulated learning. Behaviour and Information Technology, 37(5), 445–461. https://doi.org/10.1080/0144929X.2018.1451558
Mentes, A., & Turan, A. H. (2012). Assessing the usability of university websites: An empirical study on Namik Kemal University. Turkish Online Journal of Educational Technology, 11(3), 61-69. http://www.tojet.net/articles/v11i3/1136.pdf
Muñoz, A., Delgado, R., Rubio, E., Grilo, C., & Basto-Fernandes, V. (2017). Forum participation plugin for Moodle: Development and discussion. Procedia Computer Science, 121, 982–989. https://doi.org/10.1016/j.procs.2017.11.127
Navimipour, N. J., & Zareie, B. (2015). A model for assessing the impact of e-learning systems on employees’ satisfaction. Computers in Human Behavior, 53, 475–485. https://doi.org/10.1016/j.chb.2015.07.026
Sadikin, M. (2017). Mining relation extraction based on pattern learning approach. Indonesian Journal of Electrical Engineering and Computer Science, 6(1), 50-57. https://doi.org/10.11591/ijeecs.v6.i1.pp50-57
Sadikin, M., Fanany, M. I., & Basaruddin, T. (2016). A new data representation based on training data characteristics to extract drug name entity in medical text. Computational Intelligence and Neuroscience, 3483528. https://doi.org/10.1155/2016/3483528
Sandiwarno, S. (2016). Perancangan model e-learning berbasis collaborative video conference learning guna mendapatkan hasil pembelajaran yang efektif dan efisien. Jurnal Ilmiah FIFO, 8(2), 191-200. https://doi.org/10.22441/fifo.v8i2.1314
Smith, P. A. (1996). Towards a practical measure of hypertext usability. Interacting with Computers, 8(4), 365–381. https://doi.org/10.1016/S0953-5438(97)83779-4
Sun, J. (2016). Multi-dimensional alignment between online instruction and course technology: A learner-centered perspective. Computers and Education, 101, 102–114. https://doi.org/10.1016/j.compedu.2016.06.003
Tullis, T., & Albert, B. (2013). Measuring the user experience: Collecting, analyzing, and presenting usability metrics (2nd ed.). Elsevier. https://doi.org/10.1016/C2011-0-00016-9
Wagner, N., Hassanein, K., & Head, M. (2014). The impact of age on website usability. Computers in Human Behavior, 37, 270-282. https://doi.org/10.1016/j.chb.2014.05.003
Zhang, S., Liu, Q., Chen, W., Wang, Q., & Huang, Z. (2017). Interactive networks and social knowledge construction behavioral patterns in primary school teachers’ online collaborative learning activities. Computers and Education, 104, 1–17. https://doi.org/10.1016/j.compedu.2016.10.011
DOI: https://doi.org/10.21831/reid.v7i2.39642
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