A Ten-Year Systematic Literature Review of English E-Learning Education (2014–2024)

References:

Al Mahmud, F. (2022). Teaching and Learning English as a Foreign Language Speaking Skills through Blackboard during COVID-19. Arab World English Journal, 214–230. https://doi.org/10.24093/awej/call8.15

Alam, I., Qasim, A., Shah, A. H., & Kumar, T. (2023). Blackboard Collaborate: COVID-19 impacts on EFL classroom learning and knowledge on first year university students. International Journal of Knowledge and Learning, 16(3), 221–237. https://doi.org/10.1504/IJKL.2023.132159

Alkhannani, B. (2023). The impact of blended learning on undergraduate English language learners. Amazonia Investiga, 12(71), 61–76. https://doi.org/10.34069/AI/2023.71.11.5

Araneta, M. G., Liotino, M., Olatunji, T. I., & Fedeli, M. (2024). Leveraging Massive Open Online Courses to foster reflective practice in blended university courses. Innovations in Education and Teaching International. https://dx.doi.org/10.1080/14703297.2024.2320697

Araujo, L. R. (2023). Assessing motivation: Student-centered instructions as a means of engaging unresponsive students. Texto Livre-Linguagem E Tecnologia, 16, 46068. https://doi.org/10.1590/1983-3652.2023.46068

Atun, H. (2020). Intelligent tutoring systems (ITS) to improve reading comprehension: A systematic review. Journal of Teacher Education and Lifelong Learning, 2(2).

Bang, M., Wohn, K., & Shi, C. (2014). The Establishment of an e-Learning System Based on SDT. International Journal of Emerging Technologies in Learning, 9(4), 43–49. https://doi.org/10.3991/ijet.v9i4.3704

Bourekkache, S., & Kazar, O. (2020). Mobile and Adaptive Learning Application for English Language Learning. International Journal of Information and Communication Technology Education, 16(2), 36–46. https://doi.org/10.4018/IJICTE.2020040103

Brandão, C. (2015). P. Bazeley and K. Jackson, qualitative data analysis with NVivo. Qualitative Research in Psychology, 12(4), 492–494. https://doi.org/10.1080/14780887.2014.992750

Chang, H., Park, J., & Suh, J. (2024). Virtual reality as a pedagogical tool: An experimental study of English learner in lower elementary grades. Education and Information Technologies, 29(4), 4809–4842. https://doi.org/10.1007/s10639-023-11988-y

Chang, Y., Lee, S., Wong, S. F., & Jeong, S. (2022). AI-powered learning application use and gratification: An integrative model. Information Technology & People, 35(7), 2115–2139. https://doi.org/10.1108/ITP-09-2020-0632

Chen, M.-P., Wang, L.-C., Zou, D., Lin, S.-Y., Xie, H., & Tsai, C.-C. (2022). Effects of captions and English proficiency on learning effectiveness, motivation and attitude in augmented-reality-enhanced theme-based contextualized EFL learning. Computer Assisted Language Learning, 35(3), 381–411. https://doi.org/10.1080/09588221.2019.1704787

Chen, S., & Wang, J. (2024). Virtual Reality Human-Computer Interactive English Education Experience System Based on Mobile Terminal. International Journal of Human-Computer Interaction, 40(13), 3560–3569. https://doi.org/10.1080/10447318.2023.2190674

Cheng, X. (2017). Model Study of English Listening and Speaking Mobile Learning Based on Podcasting. Agro Food Industry Hi-Tech, 28(3), 3085–3087.

Clark, R. C., & Mayer, R. E. (2008). E-learning and the science of instruction: Proven guidelines for. Citeseer.

Deci, E. L., & Ryan, R. M. (2012). Self-determination theory. Handbook of Theories of Social Psychology, 1(20), 416–436.

DiBello, L. V., & Stout, W. (2007). Guest editors’ introduction and overview: IRT-based cognitive diagnostic models and related methods. Journal of Educational Measurement, 285–291.

Fang, C. (2021). Intelligent online English teaching system based on SVM algorithm and complex network. Journal of Intelligent & Fuzzy Systems, 40(2), 2709–2719. https://doi.org/10.3233/JIFS-189313

Forthmann, B., Grotjahn, R., Doebler, P., & Baghaei, P. (2020). A comparison of different item response theory models for scaling speeded C-tests. Journal of Psychoeducational Assessment, 38(3), 291–306. https://doi.org/10.1177/0734282919889262

Garrison, D. R., Anderson, T., & Archer, W. (2001). Critical thinking, cognitive presence, and computer conferencing in distance education. American Journal of Distance Education, 15(1), 7–23. https://doi.org/10.1080/08923640109527071

Garrison, D. R., & Arbaugh, J. B. (2007). Researching the community of inquiry framework: Review, issues, and future directions. The Internet and Higher Education, 10(3), 157–172. https://doi.org/10.1016/j.iheduc.2007.04.001

Geng, Y. (2025). Research on the promotion of intelligent entertainment voice robots in personalized English learning based on data mining and gamified teaching experience. Entertainment Computing, 52, 100816. https://doi.org/10.1016/j.entcom.2024.100816

Godwin-Jones, R. (2018). Contextualized vocabulary learning. Language Learning & Technology, 22(3), 1–19. https://doi.org/10.10125/44651

Hallinger, P., & Kovačević, J. (2019). A Bibliometric Review of Research on Educational Administration: Science Mapping the Literature, 1960 to 2018. Review of Educational Research, 89(3), 335–369. https://doi.org/10.3102/0034654319830380

Harwood, C. (2014). Personal Learning Environments: Using Symbalooedu in Learning English for Academic Purposes. Esp Today-Journal of English for Specific Purposes at Tertiary Level, 2(2), 199–215.

He, Y. (2022). English Multimedia Online Teaching Resource Processing System Based on Intelligent Cloud Platform. Mobile Information Systems, 2022, 9952782. https://doi.org/10.1155/2022/9952782

Hu, N. (2023). Application of Top-N Rule-based Optimal Recommendation System for Language Education Content based on Parallel Computing. International Journal of Advanced Computer Science and Applications, 14(6), 1027–1037. https://doi.org/10.14569/IJACSA.2023.01406110

Huang, Y., & Jin, X. (2018). Innovative College English Teaching Modes Based on Big Data. Educational Sciences-Theory & Practice, 18(6), 3428–3434. https://doi.org/10.12738/estp.2018.6.249

Huang, Y.-C., Lai, C.-F., Hwang, G.-H., & Huang, Y.-M. (2022). Explore Behavior Pattern in an Associated AR English Learning System Consider Different Human Factors. Journal of Internet Technology, 23(4), 659–667. https://doi.org/10.53106/160792642022072304002

Hui, Y. (2021). Evaluation of Blended Oral English Teaching Based on the Mixed Model of SPOC and Deep Learning. Scientific Programming, 2021, 7044779. https://doi.org/10.1155/2021/7044779

Jin, G., & Qian, H. (2017). Reform of College English Teaching in China based on the MOOC Model. Agro Food Industry Hi-Tech, 28(3), 185–188.

Jordan, K. (2015). Massive open online course completion rates revisited: Assessment, length and attrition. International Review of Research in Open and Distributed Learning, 16(3), 341–358. https://doi.org/10.19173/irrodl.v16i3.2112

Kamsulbahri, K. F. K., & Norman, H. (2024). Online Learning with Metaverse for History Education at Primary School Education Level. International Journal of Academic Research in Progressive Education and Development, 13(2). https://doi.org/10.6007/IJARPED/v13-i2/21502

Khomyshak, O. B. (2022). Using Digital Learning Technology in the Process of Linguomethodological Training of Future Foreign Language Teachers. Information Technologies and Learning Tools, 88(2), 38–55. https://doi.org/10.33407/itlt.v88i2.4654

Kumar, V., & Sharma, D. (2021). E-learning theories, components, and cloud computing-based learning platforms. International Journal of Web-Based Learning and Teaching Technologies, 16(3), 1–16. https://doi.org/10.4018/IJWLTT.20210501.oa1

Lakoff, G. (2005). Image schemas: From linguistic analysis to neural grounding. In From Perception to Meaning: Image Schemas in Cognitive Linguistics.

Lee, B. (2017). TELL us ESP in a Flipped Classroom. Eurasia Journal of Mathematics Science and Technology Education, 13(8), 4995–5007. https://doi.org/10.12973/eurasia.2017.00978a

Li, H., & Ni, A. (2024). What Contributes to Student Language Learning Satisfaction and Achievement with Learning Management Systems? Behavioral Sciences, 14(4), 271. https://doi.org/10.3390/bs14040271

Li, X., Xia, Q., Chu, S. K. W., & Yang, Y. (2022). Using Gamification to Facilitate Students’ Self-Regulation in E-Learning: A Case Study on Students’ L2 English Learning. Sustainability, 14(12), 7008. https://doi.org/10.3390/su14127008

Li, Y., & Hafner, C. A. (2022). Mobile-assisted vocabulary learning: Investigating receptive and productive vocabulary knowledge of Chinese EFL learners. ReCALL, 34(1), 66–80. Cambridge Core. https://doi.org/10.1017/S0958344021000161

Liang, X., & Pang, J. (2019). An Innovative English Teaching Mode Based on Massive Open Online Course and Google Collaboration Platform. International Journal of Emerging Technologies in Learning, 14(15), 182–192. https://doi.org/10.3991/ijet.v14i15.11148

Lin, V., Kang, Y.-C., Liu, G.-Z., & Lin, W. (2016). Participants’ Experiences and Interactions on Facebook Group in an EFL Course in Taiwan. Asia-Pacific Education Researcher, 25(1), 99–109. https://doi.org/10.1007/s40299-015-0239-0

Lin, Y. C., Chung, P., Yeh, R. C., & Chen, Y. C. (2016). An Empirical Study of College Students’ Learning Satisfaction and Continuance Intention to Stick with a Blended e-Learning Environment. International Journal of Emerging Technologies in Learning, 11(2), 63–66. https://doi.org/10.3991/ijet.v11i02.5078

Lo, C. K., & Hew, K. F. (2021). Student engagement in mathematics flipped classrooms: Implications of journal publications from 2011 to 2020. Frontiers in Psychology, 12, 672610. https://doi.org/10.3389/fpsyg.2021.672610

Lu, W., Vivekananda, G. N., & Shanthini, A. (2023). Supervision system of English online teaching based on machine learning. Progress in Artificial Intelligence, 12(2), 187–198. https://doi.org/10.1007/s13748-021-00274-y

Martin, F., Sun, T., & Westine, C. D. (2020). A systematic review of research on online teaching and learning from 2009 to 2018. Computers & Education, 159, 104009. https://doi.org/10.1016/j.compedu.2020.104009

Moher, D. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. Annals of Internal Medicine, 151(4), 264. https://doi.org/10.7326/0003-4819-151-4-200908180-00135

Mohtar, M., & Md Yunus, M. (2022). A Systematic Review of Online Learning during COVID 19: Students’ Motivation, Task Engagement and Acceptance. Arab World English Journal, 2, 202–215. https://doi.org/10.24093/awej/covid2.13

Mustikasari, D. W. (2017). Developing Massive Open Online Course (MOOC): Need Analysis of Teaching Materials for Madrasah English Teachers. Register Journal, 10(2), 170–184. https://doi.org/10.18326/rgt.v10i2.170-184

Norman, H., Dogan, H., Nordin, N., Mahamod, Z., & Halim, L. (2015). An Asia-Europe Massive Open Online Course for Lecturer Training: Development of Pedagogical Strategies for MOOCs.

Nugroho, N. (2022). Systematic Literature Review: Online Learning during Covid-19 Pandemic. IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature, 10(1), 120–134. https://doi.org/10.24256/ideas.v10i1.2491

Palmblad, M., & Van Eck, N. J. (2018). Bibliometric Analyses Reveal Patterns of Collaboration between ASMS Members. Journal of the American Society for Mass Spectrometry, 29(3), 447–454. https://doi.org/10.1007/s13361-017-1846-1

Pan, H., Xia, F., Kumar, T., Li, X., & Shamsy, A. (2022). Massive Open Online Course Versus Flipped Instruction: Impacts on Foreign Language Speaking Anxiety, Foreign Language Learning Motivation, and Learning Attitude. Frontiers in Psychology, 13, 833616. https://doi.org/10.3389/fpsyg.2022.833616

Pappano, L. (2012). The year of the MOOC. The New York Times, November, 2. https://ci576.wordpress.com/wp-content/uploads/2016/12/the-year-of-the-mooc-ny-times.pdf

Park, H., & Shea, P. (2020). A Review of Ten-Year Research through Co-citation Analysis: Online Learning, Distance Learning, and Blended Learning. Online Learning, 24(2), 225–244. https://doi.org/10.24059/olj.v24i2.2001

Pekrun, R. (2024). Control-value theory: From achievement emotion to a general theory of human emotions. Educational Psychology Review, 36(3), 83. https://doi.org/10.1007/s10648-024-09909-7

Pu, C. (2022). Design and Application of English Online Learning Platform. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/9693192

Qi, Y., Zhang, T., & Huang, J. (2018). Small Private Online Course English Teaching Mode Based on Image Schema Theory of Cognitive Linguistics. Neuroquantology, 16(5), 626–632. https://doi.org/10.14704/nq.2018.16.5.1407

Rodrigues, H., Almeida, F., Figueiredo, V., & Lopes, S. L. (2019). Tracking e-learning through published papers: A systematic review. Computers & Education, 136, 87–98. https://doi.org/10.1016/j.compedu.2019.03.007

Rohi, M. P., Boymau, L. T., Birri Bolen Nimanuho, M. S., & Mbuik, S. M. (2025). Generative AI and education: Digital pedagogies, teaching innovation and learning design. Asia Pacific Journal of Education, 1–4. https://doi.org/10.1080/02188791.2025.2473282

Sangrà, A., Vlachopoulos, D., & Cabrera, N. (2012). Building an inclusive definition of e-learning: An approach to the conceptual framework. International Review of Research in Open and Distributed Learning, 13(2), 145–159. https://doi.org/10.19173/irrodl.v13i2.1161

Scott, K. M. (2013). Does a university teacher need to change e‐learning beliefs and practices when using a social networking site? A longitudinal case study. British Journal of Educational Technology, 44(4), 571–580. https://doi.org/10.1111/bjet.12072

Shadiev, R., & Wang, X. (2022). A review of research on technology-supported language learning and 21st century skills. Frontiers in Psychology, 13, 897689.

Shahrol, S. J. M., Sulaiman, S., Samingan, M. R., & Mohamed, H. (2020). A Systematic Literature Review on teaching and learning English using mobile technology. International Journal of Information and Education Technology, 10(9), 709–714. https://doi.org/10.18178/ijiet.2020.10.9.1447

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

Su, F. (2017). A Research on Intelligent U-Learning System of English Words Based on Mobile Education Platform. Agro Food Industry Hi-Tech, 28(3), 2307–2311.

Sudatha, I. G. W., Jayanti, L. S. S. W., Bayu, G. W., Widiana, I. W., & Halili, S. H. B. (2024). Task-Based E-Learning on Students’ Cognitive Assonance and Reading Engagement in English Learning Process at Elementary Schools. Ijole-International Journal of Language Education, 8(2), 250–266. https://doi.org/10.26858/ijole.v8i2.64115

Sun, J. C.-Y., & Chang, K.-Y. (2016). Design and development of a location-based mobile learning system to facilitate English learning. Universal Access in the Information Society, 15(3), 345–357. https://doi.org/10.1007/s10209-014-0392-x

Tabassum, Z., & Saad, M. R. B. M. (2024). A Decadal Examination of Community of Inquiry and Blended Learning in EFL/ESL Development: A Systematic Review. Arab World English Journal, 15(1), 401–422. https://doi.org/10.24093/awej/vol15no1.25

Tang, J. (2021). Optimization of English Learning Platform Based on a Collaborative Filtering Algorithm. Complexity, 2021, 6624012. https://doi.org/10.1155/2021/6624012

Tang, K.-Y., Chang, C.-Y., & Hwang, G.-J. (2023). Trends in artificial intelligence-supported e-learning: A systematic review and co-citation network analysis (1998-2019). Interactive Learning Environments, 31(4), 2134–2152. https://doi.org/10.1080/10494820.2021.1875001

Tang, K.-Y., Tsai, C.-C., & Lin, T.-C. (2014). Contemporary intellectual structure of CSCL research (2006–2013): A co-citation network analysis with an education focus. International Journal of Computer-Supported Collaborative Learning, 9(3), 335–363. https://doi.org/10.1007/s11412-014-9196-5

Valverde-Berrocoso, J., Garrido-Arroyo, M. del C., Burgos-Videla, C., & Morales-Cevallos, M. B. (2020). Trends in educational research about e-learning: A systematic literature review (2009–2018). Sustainability, 12(12), 5153. https://doi.org/10.3390/su12125153

van Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3

Wang, R. (2019). Massive Open Online Course Platform Blended English Teaching Method Based on Model-View-Controller. International Journal of Emerging Technologies in Learning, 14(16), 188–196. https://doi.org/10.3991/ijet.v14i16.11151

Wang, R. (2023). Research on effectiveness of college English blended teaching mode under small private online course based on machine learning. Sn Applied Sciences, 5(2), 55. https://doi.org/10.1007/s42452-023-05278-y

Wang, Y., & Na, K. S. (2022). Innovative Research on English Teaching Model Based on Artificial Intelligence and Wireless Communication. International Journal of Reliability Quality and Safety Engineering, 29(05), 2240007. https://doi.org/10.1142/S0218539322400071

Wu, C. (2022). Effect of Online and Offline Blended Teaching of College English Based on Data Mining Algorithm. Journal of Information & Knowledge Management, 21(SUPP02), 2240023. https://doi.org/10.1142/S0219649222400238

Xu, J., Liu, Y., Liu, J., & Qu, Z. (2022). Effectiveness of English Online Learning Based on Deep Learning. Computational Intelligence and Neuroscience, 2022, 1310194. https://doi.org/10.1155/2022/1310194

Xue, X., & Dunham, R. E. (2023). Using a SPOC-based flipped classroom instructional mode to teach English pronunciation. Computer Assisted Language Learning, 36(7), 1309–1337. https://doi.org/10.1080/09588221.2021.1980404

Yang, R., Hu, R., Li, Y., Xie, W., & Xu, Y. (2021). Research on 5G related technologies under the new generation of information technology. Journal of Physics: Conference Series, 1907(1), 012056. https://doi.org/10.1088/1742-6596/1907/1/012056

Yang, Y., Gao, Z., & Han, Y. (2021). Exploring Chinese EFL Learners’ Achievement Emotions and Their Antecedents in an Online English Learning Environment. Frontiers in Psychology, 12, 722622. https://doi.org/10.3389/fpsyg.2021.722622

Yossatorn, Y., Binali, T., Weng, C., & Awuor, N. O. (2023). Relating university students’ online self-regulated English learning to motivational beliefs: A structural equation modelling analysis. Behaviour & Information Technology, 42(7), 888–903. https://doi.org/10.1080/0144929X.2022.2048074

Yu, H., & Nazir, S. (2021). Role of 5G and Artificial Intelligence for Research and Transformation of English Situational Teaching in Higher Studies. Mobile Information Systems, 2021(1), 3773414. https://doi.org/10.1155/2021/3773414

Zhang, K., Bonk, C. J., Reeves, T. C., & Reynolds, T. H. (2020). MOOCs and open education in the global south: Challenges, successes, and opportunities. Routledge. https://www.routledge.com/9780367025779

Zhang, M., & Zhang, L. (2021). Cross-cultural O2O English teaching based on AI emotion recognition and neural network algorithm. Journal of Intelligent & Fuzzy Systems, 40(4), 7183–7194. https://doi.org/10.3233/JIFS-189546

Zhang, W. (2022). English Online Teaching Resource Processing Based on Intelligent Cloud Computing Technology. Mobile Information Systems, 2022, 8343909. https://doi.org/10.1155/2022/8343909

Zhang, Y., & Yang, Y. (2022). The evaluation method for distance learning engagement of college English under the mixed teaching mode. International Journal of Continuing Engineering Education and Life-Long Learning, 32(2), 159–175. https://doi.org/10.1504/IJCEELL.2022.121947

Zhao, Q., & Nazir, S. (2022). English Multimode Production and Usage by Artificial Intelligence and Online Reading for Sustaining Effectiveness. Mobile Information Systems, 2022, 6780502. https://doi.org/10.1155/2022/6780502

Zhao, X., & Abdullah, Z. (2023). Station Rotation with Gamification Approach to Increase Students’ Engagement in Learning English Online. Arab World English Journal, 105–121. https://doi.org/10.24093/awej/call9.7

Zhou, M., Chen, M., & Pu, H. (2022). Application of the Mixed Teaching Model using Internet plus for Clinical Courses of Traditional Chinese Medicine. Mobile Information Systems, 2022, 3633893. https://doi.org/10.1155/2022/3633893

Zhou, Q., Hashim, H., & Sulaiman, N. A. (2023). A systemic review (2014–2023) on the mobile-assisted blended learning for English as a foreign language education with a focus on empirical studies. International Journal of Interactive Mobile Technologies (iJIM), 17(24), 153–172. https://doi.org/10.3991/ijim.v17i24.42019

Zhou, S., Zhu, H., & Zhou, Y. (2022). Impact of Teenage EFL Learners’ Psychological Needs on Learning Engagement and Behavioral Intention in Synchronous Online English Courses. Sustainability, 14(17), 10468. https://doi.org/10.3390/su141710468