Tracking e-learning through published papers: A systematic review
ARTICLE
Helena Rodrigues, Filomena Almeida, Vanessa Figueiredo, Sara L. Lopes, Instituto Universitário de Lisboa (ISCTE-IUL), Portugal
Computers & Education Volume 136, Number 1, ISSN 0360-1315 Publisher: Elsevier Ltd
Abstract
Electronic learning (e-learning) is a broader approach to learning that brings new opportunities for learning and teaching in many fields of education far from the traditional classroom environment. Over the past decades, research in the field indicates a proliferation of e-learning contents and discrepancies that affect interoperability patterns in education for students and teachers; however, little has been done to assess the usability of e-learning systems. From a different perspective, this study aims to provide information on the numerous findings relating to the cumulative results of e-learning in education. This systematic review uses a full protocol with the aim of standardizing and specifying all the procedures adopted to collect and code 99 academic articles from 2010 to 2018 with keywords: education and e-learning. The text analysis as conducted using the qualitative software Leximancer to extract meaning from the large number of articles retrieved. The results highlight four dominant themes, namely education systems and learning issues that in turn promote student behaviours and the use of online learning tools.This research contributes towards providing research propositions that can be used in a cogent theoretical framework and, based on the analysis, we also propose a new definition of e-learning.
Citation
Rodrigues, H., Almeida, F., Figueiredo, V. & Lopes, S.L. (2019). Tracking e-learning through published papers: A systematic review. Computers & Education, 136(1), 87-98. Elsevier Ltd. Retrieved March 19, 2024 from https://www.learntechlib.org/p/208392/.
This record was imported from Computers & Education on April 7, 2019. Computers & Education is a publication of Elsevier.
Full text is availabe on Science Direct: http://dx.doi.org/10.1016/j.compedu.2019.03.007Keywords
References
View References & Citations Map- hubalovskya, S., Hubalovskab, M., & Musileka, M. (2019). Assessment of the influence of adaptive E-learning on learning effectiveness of primary school pupils. Computers in Human Behavior, 92, pp. 691-705.
- Abrami, P.C., Bernard, R.M., Bures, E.M., Borokhovski, E., & Tamim, R.M. (2011). Interaction in distance education and online learning: Using evidence and theory to improve practice. Journal of Computing in Higher Education, 23(2–3), pp. 82-103.
- Abu-Rish, E., Kim, S., Choe, L., Varpio, L., Malik, E., White, A.A., (2012). Current trends in interprofessional education of health sciences students: A literature review. Journal of Interprofessional Care, 26(6), pp. 444-451.
- Ainin, S., Naqshbandi, M.M., Moghavvemi, S., & Jaafar, N.I. (2015). Facebook usage, socialization and academic performance. Computers & Education, 83, pp. 64-73.
- Akaslan, D., & Law, E.L. (2011). Measuring teachers' readiness for e-learning in higher education institutions associated with the subject of electricity in Turkey. Global engineering education conference (EDUCON), amman, Jordan, 4-6 april 2011, pp. 481-490.
- Al-Adwan, A., & Smedley, J. (2012). Implementing e-learning in the Jordanian higher education system: Factors affecting impact. International Journal of Education and Development Using Information and Communication Technology, 8(1), p. 121.
- Al-Harbi, K.A.S. (2011). E-Learning in the Saudi tertiary education: Potential and challenges. Applied Computing and Informatics, 9(1), pp. 31-46.
- Alexander, P.A., & The Disciplined Reading and Learning Research Laboratory (2012). Reading into the future: Competence for the 21st century. Educational Psychologist, 47(4), pp. 259-280.
- Ali, S., Uppal, M.A., & Gulliver, S. (2018). A conceptual framework highlighting e-learning implementation barriers. Information Technology & People, 31(1), pp. 156-180.
- Ally, M., & Prieto-Blázquez, J. (2014). What is the future of mobile learning in education?. International Journal of Educational Technology in Higher Education, 11(1), pp. 142-151.
- Al‐Qahtani, A.A., & Higgins, S.E. (2013). Effects of traditional, blended and e‐learning on students' achievement in higher education. Journal of Computer Assisted Learning, 29(3), pp. 220-234.
- Arafat, S., Aljohani, N., Abbasi, R., Hussain, A., & Lytras, M. (2019). Connections between e-learning, web science, cognitive computation and social sensing, and their relevance to learning analytics: A preliminary study. Computers in Human Behavior, 92, pp. 478-486.
- Ardito, C., Costabile, M.F., De Marsico, M., Lanzilotti, R., Levialdi, S., Roselli, T., (2006). An Approach to Usability Evaluation of e-Learning Applications. Universal Access in the Information Society, 4(3), pp. 270-283.
- Arkorful, V., & Abaidoo, N. (2015). The role of e-learning, advantages and disadvantages of its adoption in higher education. International Journal of Instructional Technology and Distance Learning, 12(1), pp. 29-42.
- Baeten, M., Kyndt, E., Struyven, K., & Dochy, F. (2010). Using student-centred learning environments to stimulate deep approaches to learning: Factors encouraging or discouraging their effectiveness. Educational Research Review, 5(3), pp. 243-260.
- Baran, E. (2014). A review of research on mobile learning in teacher education. Journal of Educational Technology & Society, 17(4), p. 17.
- Bell, B.S., & Federman, J.E. (2013). E-learning in postsecondary education. The Future of Children, 23(1), pp. 165-185.
- Benta, D., Bologa, G., & Dzitac, I. (2014). E-learning platforms in higher education case study. Procedia Computer Science, 31, pp. 1170-1176.
- Bhuasiri, W., Xaymoungkhoun, O., Zo, H., Rho, J.J., & Ciganek, A.P. (2012). Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Computers & Education, 58(2), pp. 843-855.
- Bodnar, C.A., Anastasio, D., Enszer, J.A., & Burkey, D.D. (2016). Engineers at play: Games as teaching tools for undergraduate engineering students. Journal of Engineering Education, 105(1), pp. 147-200.
- Boiselle, L.N. (2014). Online-learning and its utility to higher education in the anglophone caribbean.
- Boling, E.C., Hough, M., Krinsky, H., Saleem, H., & Stevens, M. (2012). Cutting the distance in distance education: Perspectives on what promotes positive, online learning experiences. The Internet and Higher Education, 15(2), pp. 118-126.
- Bora, U.J., & Ahmed, M. (2013). E-learning using cloud computing. International Journal of Science and Mathematics Education, 1(2), pp. 9-12.
- Borrego, M., Froyd, J.E., & Hall, T.S. (2010). Diffusion of engineering education innovations: A survey of awareness and adoption rates in US engineering departments. Journal of Engineering Education, 99(3), pp. 185-207.
- Brady, K.P., Holcomb, L.B., & Smith, B.V. (2010). The use of alternative social networking sites in higher educational settings: A case study of the e-learning benefits of ning in education. The Journal of Interactive Online Learning, 9(2), pp. 151-170.
- Button, D., Harrington, A., & Belan, I. (2014). E-Learning & information communication technology (ICT) in nursing education: A review of the literature. Nurse Education Today, 34(10), pp. 1311-1323.
- Cercone, K. (2008). Characteristics of adult learners with implications for online learning design. Association for the Advancement of Computing in Education Journal, 16(2), pp. 137-159.
- Chen, H.J. (2010). Linking employees’e-learning system use to their overall job outcomes: An empirical study based on the IS success model. Computers & Education, 55(4), pp. 1628-1639.
- Chen, H.R., & Tseng, H.F. (2012). Factors that influence acceptance of web-based e-learning systems for the in-service education of junior high school teachers in Taiwan. Evaluation and Program Planning, 35(3), pp. 398-406.
- Cheon, J., Lee, S., Crooks, S.M., & Song, J. (2012). An investigation of mobile learning readiness in higher education based on the theory of planned behavior. Computers & Education, 59(3), pp. 1054-1064.
- Cheston, C.C., Flickinger, T.E., & Chisolm, M.S. (2013). Social media use in medical education: A systematic review. Academic Medicine, 88(6), pp. 893-901.
- Cheung, R., & Vogel, D. (2013). Predicting user acceptance of collaborative technologies: An extension of the technology acceptance model for e-learning. Computers & Education, 63, pp. 160-175.
- Clarà, M., & Barberà, E. (2013). Learning online: Massive open online courses (MOOCs), connectivism, and cultural psychology. Distance Education, 34(1), pp. 129-136.
- Cole, M.T., Shelley, D.J., & Swartz, L.B. (2014). Online instruction, e-learning, and student satisfaction: A three year study. International Review of Research in Open and Distance Learning, 15(6), pp. 111-131.
- Commission of the European Communities (2001). The eLearning Action Plan: Designing tomorrow's education. Brussels.
- Costa, C., Alvelos, H., & Teixeira, L. (2012). The use of moodle e-learning platform: A study in a Portuguese university. Procedia Technology, 5, pp. 334-343.
- Dabbagh, N., & Kitsantas, A. (2012). Personal learning environments, social media, and self-regulated learning: A natural formula for connecting formal and informal learning. The Internet and Higher Education, 15(1), pp. 3-8.
- De-Marcos, L., Domínguez, A., Saenz-de-Navarrete, J., & Pagés, C. (2014). An empirical study comparing gamification and social networking on e-learning. Computers & Education, 75, pp. 82-91.
- Dietz-Uhler, B., & Hurn, J.E. (2013). Using learning analytics to predict (and improve) student success: A faculty perspective. The Journal of Interactive Online Learning, 12(1), pp. 17-26.
- Ebner, M., Lienhardt, C., Rohs, M., & Meyer, I. (2010). Microblogs in Higher Education–A chance to facilitate informal and process-oriented learning?. Computers & Education, 55(1), pp. 92-100.
- El Bachari, E., Abelwahed, E.H., & El Adnani, M. (2011). E-learning personalization based on dynamic learners' preference. International Journal of Computer Science & Information Technology, 3(3), pp. 200-216.
- El-Hussein, M.O.M., & Cronje, J.C. (2010). Defining mobile learning in the higher education landscape. Journal of Educational Technology & Society, 13(3), p. 12.
- Feng, J.Y., Chang, Y.T., Chang, H.Y., Erdley, W.S., Lin, C.H., & Chang, Y.J. (2013). Systematic review of effectiveness of situated E-learning on medical and nursing education. Worldviews on Evidence-Based Nursing, 10(3), pp. 174-183.
- Fredricks, J.A. (2011). Engagement in school and out-of-school contexts: A multidimensional view of engagement. Theory Into Practice, 50(4), pp. 327-335.
- Frehywot, S., Vovides, Y., Talib, Z., Mikhail, N., Ross, H., Wohltjen, H., (2013). E-learning in medical education in resource constrained low-and middle-income countries. Human Resources for Health, 11(4), pp. 1-15.
- Frohberg, D., Göth, C., & Schwabe, G. (2009). Mobile Learning projects – a critical analysis of the state of the art. Journal of Computer Assisted Learning, 25, pp. 307-331.
- Ghazizadeh, A. (2012). Cloud computing benefits and architecture in e-learning. IEEE seventh international conference on wireless, mobile and ubiquitous technology in education (WMUTE), takamatsu, Japan, 27-30 march, pp. 199-201.
- Gikandi, J.W., Morrow, D., & Davis, N.E. (2011). Online formative assessment in higher education: A review of the literature. Computers & Education, 57(4), pp. 2333-2351.
- Graf, S., Liu, T.C., & Kinshuk (2010). Analysis of learners' navigational behaviour and their learning styles in an online course. Journal of Computer Assisted Learning, 26, pp. 116-131.
- Guri-Rosenblit, S., & Gros, B. (2011). E-learning: Confusing terminology, research gaps and inherent challenges. International Journal of E-Learning & Distance Education, 25(1).
- Haidet, P., Levine, R.E., Parmelee, D.X., Crow, S., Kennedy, F., Kelly, P.A., (2012). Perspective: Guidelines for reporting team-based learning activities in the medical and health sciences education literature. Academic Medicine, 87(3), pp. 292-299.
- Hargittai, E. (2010). Digital Na(t)ives? Variation in internet skills and uses among members of the “net generation”. Sociological Inquiry, 80(1), pp. 92-113.
- Hassanzadeh, A., Kanaani, F., & Elahi, S. (2012). A model for measuring e-learning systems success in universities. Expert Systems with Applications, 39(12), pp. 10959-10966.
- Huang, E.Y., Lin, S.W., & Huang, T.K. (2012). What type of learning style leads to online participation in the mixed-mode e-learning environment? A study of software usage instruction. Computers & Education, 58(1), pp. 338-349.
- Iqbal, M.J., & Ahmad, M. (2010). Enhancing quality of education through e-learning: The case study of allama iqbal open university. The Turkish Online Journal of Distance Education, 11(1), pp. 84-97.
- Jan, S. (2018). Investigating the relationship between students' digital literacy and their attitude towards using ICT. International Journal of Educational Technology, 5(2), pp. 26-34.
- Johnson, N., List-Ivankovic, J., Eboh, W.O., Ireland, J., Adams, D., & Mowatt, E. (2010). Research and evidence based practice: Using a blended approach to teaching and learning in undergraduate nurse education. Nurse Education in Practice, 10(1), pp. 43-47.
- Journell, W. (2010). Perceptions of e‐learning in secondary education: A viable alternative to classroom instruction or a way to bypass engaged learning?. Educational Media International, 47(1), pp. 69-81.
- Kahu, E.R. (2013). Framing student engagement in higher education. Studies in Higher Education, 38(5), pp. 758-773.
- Kangas, M., Siklander, P., Randolph, J., & Ruokamo, H. (2017). Teachers' engagement and students' satisfaction with a playful learning environment. Teaching and Teacher Education, 63, pp. 274-284.
- Kassens-Noor, E. (2012). Twitter as a teaching practice to enhance active and informal learning in higher education: The case of sustainable tweets. Active Learning in Higher Education, 13(1), pp. 9-21.
- King, E., & Boyatt, R. (2015). Exploring factors that influence adoption of e‐learning within higher education. British Journal of Educational Technology, 46(6), pp. 1272-1280.
- Klašnja-Milićević, A., Vesin, B., Ivanović, M., & Budimac, Z. (2011). E-Learning personalization based on hybrid recommendation strategy and learning style identification. Computers & Education, 56(3), pp. 885-899.
- Knox, J. (2014). Digital culture clash:“massive” education in the E-learning and Digital Cultures MOOC. Distance Education, 35(2), pp. 164-177.
- Koc-Januchta, M., Höffle, T., Thoma, G.B., Prechtl, H., & Leutner, D. (2017). Visualizers versus verbalizers: Effects of cognitive style on learning with texts and pictures – an eye-tracking study. Computers in Human Behavior, 68, pp. 170-179.
- Korucu, A.T., & Alkan, A. (2011). Differences between m-learning (mobile learning) and e-learning, basic terminology and usage of m-learning in education. Procedia - Social and Behavioral Sciences, 15, pp. 1925-1930.
- Kuo, Y.C., Walker, A.E., Belland, B.R., & Schroder, K.E. (2013). A predictive study of student satisfaction in online education programs. International Review of Research in Open and Distance Learning, 14(1), pp. 16-39.
- Kuo, Y.C., Walker, A.E., Schroder, K.E., & Belland, B.R. (2014). Interaction, Internet self-efficacy, and self-regulated learning as predictors of student satisfaction in online education courses. The Internet and Higher Education, 20, pp. 35-50.
- Lahti, M., Hätönen, H., & Välimäki, M. (2014). Impact of e-learning on nurses' and student nurses knowledge, skills, and satisfaction: A systematic review and meta-analysis. International Journal of Nursing Studies, 51(1), pp. 136-149.
- Lara, J.A., Lizcano, D., Martínez, M.A., Pazos, J., & Riera, T. (2014). A system for knowledge discovery in e-learning environments within the European Higher Education Area–Application to student data from Open University of Madrid, UDIMA. Computers & Education, 72, pp. 23-36.
- Laurillard, D. (2006). E-learning in higher education. Changing higher education: The development of learning and teaching, pp. 71-84. Abingdon: Routledge.
- Law, K.M., Lee, V.C., & Yu, Y.T. (2010). Learning motivation in e-learning facilitated computer programming courses. Computers & Education, 55(1), pp. 218-228.
- Lee, M.C. (2010). Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation–confirmation model. Computers & Education, 54(2), pp. 506-516.
- Liaw, S.S., & Huang, H.M. (2011). A study of investigating learners attitudes toward e-learning. 5 th international conference on distance learning and education, Vol. 12, pp. 28-32.
- Liaw, S.S., & Huang, H.M. (2013). Perceived satisfaction, perceived usefulness and interactive learning environments as predictors to self-regulation in e-learning environments. Computers & Education, 60(1), pp. 14-24.
- Liaw, S.S., Huang, H.M., & Chen, G.D. (2007). An activity-theoretical approach to investigate learners' factors toward e-learning systems. Computers in Human Behavior, 23, pp. 1906-1920.
- Limayem, M., & Cheung, C.M. (2008). Understanding information systems continuance: The case of internet-based learning technologies. Information & Management, 45(4), pp. 227-232.
- Limayem, M., & Cheung, C.M.K. (2011). Predicting continued use of internet-based learning technologies: The role of habit. Behaviour & Information Technology, 30(1), pp. 91-99.
- Lin, K.M. (2011). e-Learning continuance intention: Moderating effects of user e-learning experience. Computers & Education, 56(2), pp. 515-526.
- Lin, P.C., Lu, H.K., & Liu, S.C. (2013). Toward an Education Behavioral Intention Model for e-Learning Systems: an Extension of UTAUT. Journal of Theoretical and Applied Information Technology, 47(3), pp. 1120-1127.
- Lin, W.S., & Wang, C.H. (2012). 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. Computers & Education, 58(1), pp. 88-99.
- Liu, G.Z., & Hwang, G.J. (2010). A key step to understanding paradigm shifts in e‐learning: Towards context‐aware ubiquitous learning. British Journal of Educational Technology, 41(2), pp. E1-E9.
- López-Pérez, M.V., Pérez-López, M.C., & Rodríguez-Ariza, L. (2011). Blended learning in higher education: Students' perceptions and their relation to outcomes. Computers & Education, 56(3), pp. 818-826.
- Macfadyen, L.P., & Dawson, S. (2012). Numbers are not enough. Why e-learning analytics failed to inform an institutional strategic plan. Journal of Educational Technology & Society, 15(3), pp. 149-163.
- Martin, S., Diaz, G., Sancristobal, E., Gil, R., Castro, M., & Peire, J. (2011). New technology trends in education: Seven years of forecasts and convergence. Computers & Education, 57(3), pp. 1893-1906.
- Masud, M.A.H., & Huang, X. (2012). An E-learning system Architecture based on cloud computing. International Journal of Information and Communication Engineering, 6(2), pp. 255-259.
- Mayer, R.E. (2014). The Cambridge handbook of multimedia learning. Cambridge, England: Cambridge University Press.
- Mehdipour, Y., & Zerehkafi, H. (2013). Mobile learning for education: Benefits and challenges. International Journal of Computational Engineering Research, 3(6), pp. 93-101.
- Merchant, Z., Goetz, E.T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T.J. (2014). Effectiveness of virtual reality-based instruction on students' learning outcomes in K-12 and higher education: A meta-analysis. Computers & Education, 70, pp. 29-40.
- Messick, S. (1984). The nature of cognitive styles: Problems and promises in educational research. Educational Psychologist, 19, pp. 59-74.
- Mikołajewska, E., & Mikołajewski, D. (2011). E-learning in the education of people with disabilities. Advances in Clinical and Experimental Medicine, 20(1), pp. 103-109.
- Moore, J.L., Dickson-Deane, C., & Galyen, K. (2011). e-Learning, online learning, and distance learning environments: Are they the same?. The Internet and Higher Education, 14(2), pp. 129-135.
- Moule, P., Ward, R., & Lockyer, L. (2010). Nursing and healthcare students' experiences and use of e‐learning in higher education. Journal of Advanced Nursing, 66(12), pp. 2785-2795.
- Muntean, C.I. (2011). Raising engagement in e-learning through gamification. Proc. 6th international conference on virtual learning ICVL, Vol. 1, pp. 323-329.
- Nagel, L., & Kotzé, T.G. (2010). Supersizing e-learning: What a Col survey reveals about teaching presence in a large online class. The Internet and Higher Education, 13(1–2), pp. 45-51.
- Naqshbandi, M.M., Ainin, S., Jaafar, N.I., & Shuib, N.L.M. (2017). To facebook or to face book? An investigation of how academic performance of different personalities is affected through the intervention of facebook usage. Computers in Human Behavior, 75, pp. 167-176.
- Natriello, G. (2007). Imagining, seeking, inventing: The future of learning and the emerging discovery networks. Learning Inquiry, 1(1), pp. 7-18.
- Nawaz, A., & Kundi, G.M. (2010). Demographic implications for the user‐perceptions of E‐learning in higher education institutions of N‐WFP, Pakistan. The Electronic Journal on Information Systems in Developing Countries, 41(1), pp. 1-17.
- Niederhauser, V., Schoessler, M., Gubrud-Howe, P.M., Magnussen, L., & Codier, E. (2012). Creating innovative models of clinical nursing education. Journal of Nursing Education, 51(X), pp. 1-6.
These references have been extracted automatically and may have some errors. Signed in users can suggest corrections to these mistakes.
Suggest Corrections to References