Journal of Pedagogical Sociology and Psychology
Short-form video and microlearning in English language education: A bibliometric and science mapping review
Thi My Linh Tran 1, Huy Hoang Doan 1 *
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1 Thuongmai University, Hanoi, Vietnam
* Corresponding Author
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Journal of Pedagogical Sociology and Psychology, Online First, pp. -
https://doi.org/10.33902/JPSP.202646584

Article Type: Research Article

Published Online: 18 Oct 2026

Views: 1 | Downloads: 1

ABSTRACT
Short-form video platforms, particularly TikTok, have altered how second language learners encounter and process linguistic input. Individual studies have examined specific aspects of microlearning in second language contexts, yet, to the authors' knowledge, no bibliometric analysis has mapped the intellectual structure of this emerging subfield. This study maps the publication landscape, thematic clusters, and research gaps characterizing microlearning research in English language education through short-form video platforms. We conducted a hybrid bibliometric analysis of 80 Scopus-indexed documents published between 2004 and 2026. Performance analysis was performed using Biblioshiny (R), and science mapping was executed through VOSviewer. The bibliometric outputs were then interpreted through a qualitative synthesis using the Theory, Context, Characteristics, and Methodology framework. Three principal patterns emerged. First, scholars from developing Asian economies, including Malaysia, Hong Kong, China, and Indonesia, contributed the largest share of publications, whereas traditional Western academic centers produced comparatively fewer studies. Second, the thematic clusters concentrated on phonological production and vocabulary acquisition, with limited attention to academic writing or reading comprehension. Third, qualitative and experimental designs together accounted for approximately two-thirds of the corpus, while computational learning analytics appeared only peripherally in the keyword co-occurrence network. This bibliometric review maps the knowledge structure of a rapidly expanding subfield at the intersection of educational technology and applied linguistics. The findings point to a need for longitudinal experimental designs, methodological diversification toward learning analytics, and empirical investigation of how algorithmic recommendation systems mediate L2 input delivery.
KEYWORDS
In-text citation: (Tran & Doan, 2026)
Reference: Tran, T. M. L., & Doan, H. H. (2026). Short-form video and microlearning in English language education: A bibliometric and science mapping review. Journal of Pedagogical Sociology and Psychology. https://doi.org/10.33902/JPSP.202646584
In-text citation: (1), (2), (3), etc.
Reference: Tran TML, Doan HH. Short-form video and microlearning in English language education: A bibliometric and science mapping review. Journal of Pedagogical Sociology and Psychology. 2026. https://doi.org/10.33902/JPSP.202646584
In-text citation: (1), (2), (3), etc.
Reference: Tran TML, Doan HH. Short-form video and microlearning in English language education: A bibliometric and science mapping review. Journal of Pedagogical Sociology and Psychology. 2026. https://doi.org/10.33902/JPSP.202646584
In-text citation: (Tran and Doan, 2026)
Reference: Tran, Thi My Linh, and Huy Hoang Doan. "Short-form video and microlearning in English language education: A bibliometric and science mapping review". Journal of Pedagogical Sociology and Psychology (2026). https://doi.org/10.33902/JPSP.202646584
In-text citation: (Tran and Doan, 2026)
Reference: Tran, T. M. L., and Doan, H. H. (2026). Short-form video and microlearning in English language education: A bibliometric and science mapping review. Journal of Pedagogical Sociology and Psychology. https://doi.org/10.33902/JPSP.202646584
In-text citation: (Tran and Doan, 2026)
Reference: Tran, Thi My Linh et al. "Short-form video and microlearning in English language education: A bibliometric and science mapping review". Journal of Pedagogical Sociology and Psychology, 2026. https://doi.org/10.33902/JPSP.202646584
REFERENCES
  • Agbo, F. J., Oyelere, S. S., Suhonen, J., & Tukiainen, M. (2021). Scientific production and thematic breakthroughs in smart learning environments: A bibliometric analysis. Smart Learning Environments, 8(1), Article 1. https://doi.org/10.1186/s40561-020-00145-4
  • Akbulut, Y. (2007). Effects of multimedia annotations on incidental vocabulary learning and reading comprehension of advanced learners of English as a foreign language. Instructional Science, 35(6), 499–517. https://doi.org/10.1007/s11251-007-9016-7
  • Alharthy, F. (2025). Exploring the impact of TikTok on second-language vocabulary acquisition: Benefits, challenges, and learner perceptions. Journal of Humanities and Social Sciences Studies, 7(3), 22–31. https://doi.org/10.32996/jhsss.2025.7.3.2
  • Alshreef, N. R., & Khadawardi, H. A. (2023). Using TikTok as a tool for English vocabulary learning in the EFL context. English Language Teaching, 16(10), 125–133. https://doi.org/10.5539/elt.v16n10p125
  • Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11(4), 959–975. https://doi.org/10.1016/j.joi.2017.08.007
  • Barrot, J. S. (2022). Social media as a language learning environment: A systematic review of the literature (2008–2019). Computer Assisted Language Learning, 35(9), 2534–2562. https://doi.org/10.1080/09588221.2021.1883673
  • Bizami, N. A., Tasir, Z., & Kew, S. N. (2023). Innovative pedagogical principles and technological tools capabilities for immersive blended learning: A systematic literature review. Education and Information Technologies, 28(2), 1373–1425. https://doi.org/10.1007/s10639-022-11243-w
  • Budiartha, C. I. W. E., & Akmar, A. S. M. (2024). Students’ perception towards TikTok in enhancing their vocabulary fluency through autonomous learning. Global Expert: Jurnal Bahasa dan Sastra, 12(1), 34–42. https://doi.org/10.36982/jge.v12i1.4440
  • Budiasa, I. G., Savitri, P. W., & Dewi, A. A. S. S. S. (2021). Slang language in Indonesian social media. Lingual: Journal of Language and Culture, 11(1), 30-34. https://doi.org/10.24843/LJLC.2021.v11.i01.p06
  • Cahyani, I., Buriev, K. T., Ngongo, M., Mamadiyarov, Z., Ino, L., Herman, H., Saputra, N., & Baxtishodovich, S. B. (2025). Exploring the use of TikTok application in enhancing the skill of pronunciation: A case on students’ perception. Studies in Media and Communication, 13(2), 150–158. https://doi.org/10.11114/smc.v13i2.7553
  • Callon, M., Courtial, J. P., & Laville, F. (1991). Co-word analysis as a tool for describing the network of interactions between basic and technological research: The case of polymer chemistry. Scientometrics, 22(1), 155–205. https://doi.org/10.1007/BF02019280
  • Castro-Alonso, J. C., de Koning, B. B., Fiorella, L., & Paas, F. (2021). Five strategies for optimizing instructional materials: Instructor- and learner-managed cognitive load. Educational Psychology Review, 33(4), 1379–1407. https://doi.org/10.1007/s10648-021-09606-9
  • Çeken, B., & Taşkın, N. (2022). Multimedia learning principles in different learning environments: A systematic review. Smart Learning Environments, 9(1), Article 19. https://doi.org/10.1186/s40561-022-00200-2
  • Çekiç, A. (2024). Incidental L2 vocabulary learning from audiovisual input: The effects of different types of glosses. Computer Assisted Language Learning, 37(4), 896–923. https://doi.org/10.1080/09588221.2022.2062004
  • Cheng, C. (2024). Investigating the effectiveness of learning-oriented short videos on Chinese language learning for international students. International Journal of Sociologies and Anthropologies Science Reviews, 4(4), 65–76. https://doi.org/10.60027/ijsasr.2024.4317
  • Dang, T. D., Phan, T. T., Vu, T. N. Q., La, T. D., & Pham, V. K. (2024). Digital competence of lecturers and its impact on student learning value in higher education. Heliyon, 10(17), Article e37318. https://doi.org/10.1016/j.heliyon.2024.e37318
  • Di Mitri, D., Schneider, J., Specht, M., & Drachsler, H. (2018). From signals to knowledge: A conceptual model for multimodal learning analytics. Journal of Computer Assisted Learning, 34(4), 338–349. https://doi.org/10.1111/jcal.12288
  • Donny, C. D., & Adnan, N. H. (2022). TESL undergraduates’ perceptions: Utilizing social media to elevate speaking skills. Arab World English Journal, 13(4), 539–561. https://doi.org/10.24093/awej/vol13no4.35
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
  • Ellis, N. C. (2002). Frequency effects in language processing: A review with implications for theories of implicit and explicit language acquisition. Studies in Second Language Acquisition, 24(2), 143–188. https://doi.org/10.1017/S0272263102002024
  • Erydani, V. A. C., Fitriati, S. W., Widhiyanto, W., Mujiyanto, J., & Madjdi, A. H. (2025). Exploring TikTok’s impact on ESP students’ speaking engagement. Jurnal Ilmiah Peuradeun, 13(2), 847–876. https://doi.org/10.26811/peuradeun.v13i2.1700
  • Feng, J., & Chen, Y. (2022). A bibliometric analysis of mobile assisted second language learning. International Journal of Interactive Mobile Technologies, 16(9), 175–190. https://doi.org/10.3991/ijim.v16i09.30351
  • Godwin-Jones, R. (2019). Riding the digital wilds: Learner autonomy and informal language learning. Language Learning & Technology, 23(1), 8–25. https://doi.org/10.64152/10125/44667
  • Gorham, T., Majumdar, R., & Ogata, H. (2023). Analyzing learner profiles in a microlearning app for training language learning peer feedback skills. Journal of Computers in Education, 10(3), 549–574. https://doi.org/10.1007/s40692-023-00264-0
  • Guo, P., Jeyaraj, J. J., & Razali, A. B. (2024). A systematic review of collaborative mobile-assisted language learning (C-MALL) practices using bibliometric, content, and scientometric analyses. Humanities and Social Sciences Communications, 11(1), Article 1435. https://doi.org/10.1057/s41599-024-03940-3
  • Hasumi, T., & Chiu, M.-S. (2024). Technology-enhanced language learning in English language education: Performance analysis, core publications, and emerging trends. Cogent Education, 11(1), Article 2346044. https://doi.org/10.1080/2331186X.2024.2346044
  • Higgins, J. (1983). Computer assisted language learning. Language Teaching, 16(2), 102–114. https://doi.org/10.1017/S0261444800009988
  • Hongsa, N., Wathawatthana, P., & Yonwilad, W. (2023). The effects of TikTok application on the improvement of EFL students’ English-speaking skills. World Journal of English Language, 13(7), 77–88. https://doi.org/10.5430/wjel.v13n7p77
  • Hou, Y., & Yu, Z. (2023). A bibliometric analysis of synchronous computer-mediated communication in language learning using VOSviewer and CitNetExplorer. Education Sciences, 13(2), Article 125. https://doi.org/10.3390/educsci13020125
  • Hu, H., & Du, K. (2022). TikTok in mobile-assisted English language learning: An exploratory study. International Journal of Information and Education Technology, 12(12), 1311–1320. https://doi.org/10.18178/ijiet.2022.12.12.1755
  • Kaderoğlu, K. (2024). Incidental vocabulary learning from audiovisual input: The case of pre-intermediate Turkish EFL learners. ELIA, (24), 177–207. https://doi.org/10.12795/elia.2024.i24.6
  • Kemp, S. (2025, October 15). Digital 2026: Global overview report. DataReportal. https://datareportal.com/reports/digital-2026-global-overview-report
  • Khong, H. K., & Kabilan, M. K. (2022). A theoretical model of micro-learning for second language instruction. Computer Assisted Language Learning, 35(7), 1483–1506. https://doi.org/10.1080/09588221.2020.1818786
  • Kohnke, L., Foung, D., & Zou, D. (2024). Microlearning: A new normal for flexible teacher professional development in online and blended learning. Education and Information Technologies, 29(4), 4457–4480. https://doi.org/10.1007/s10639-023-11964-6
  • Lee, Y.-J. (2023). Language learning affordances of Instagram and TikTok. Innovation in Language Learning and Teaching, 17(2), 408–423. https://doi.org/10.1080/17501229.2022.2051517
  • Leong, K., Sung, A., Au, D., & Blanchard, C. (2021). A review of the trend of microlearning. Journal of Work-Applied Management, 13(1), 88–102. https://doi.org/10.1108/JWAM-10-2020-0044
  • Liu, D. (2024). The effects of segmentation on cognitive load, vocabulary learning and retention, and reading comprehension in a multimedia learning environment. BMC Psychology, 12(1), Article 4. https://doi.org/10.1186/s40359-023-01489-5
  • Mayer, R. E. (2009). Multimedia learning (2nd ed.). Cambridge University Press. https://doi.org/10.1017/CBO9780511811678
  • McCauley, S. M., & Christiansen, M. H. (2019). Language learning as language use: A cross-linguistic model of child language development. Psychological Review, 126(1), 1–51. https://doi.org/10.1037/rev0000126
  • Meirbekov, A., Nyshanova, S., Meiirbekov, A., Kazykhankyzy, L., Burayeva, Z., & Abzhekenova, B. (2024). Digitisation of English language education: Instagram and TikTok online educational blogs and courses vs. traditional academic education. How to increase student motivation? Education and Information Technologies, 29(11), 13635–13662. https://doi.org/10.1007/s10639-023-12396-y
  • Min, W., & Yu, Z. (2023). A bibliometric analysis of augmented reality in language learning. Sustainability, 15(9), Article 7235. https://doi.org/10.3390/su15097235
  • Mohammad Hosseini, H., Ejtehadi, A., & Mohammad Hosseini, M. (2020). Flipping microlearning-based EFL classroom to enhance learners’ self-regulation. Language Teaching Research Quarterly, 20, 43–59. https://doi.org/10.32038/ltrq.2020.20.03
  • Montag, C., Yang, H., & Elhai, J. D. (2021). On the psychology of TikTok use: A first glimpse from empirical findings. Frontiers in Public Health, 9, Article 641673. https://doi.org/10.3389/fpubh.2021.641673
  • Montero Perez, M. (2022). Second or foreign language learning through watching audio-visual input and the role of on-screen text. Language Teaching, 55(2), 163–192. https://doi.org/10.1017/S0261444821000501
  • Montero Perez, M., Peters, E., & Desmet, P. (2018). Vocabulary learning through viewing video: The effect of two enhancement techniques. Computer Assisted Language Learning, 31(1–2), 1–26. https://doi.org/10.1080/09588221.2017.1375960
  • Mudra, H. (2025). EFL learners’ preferences, activities, rationales, and barriers in utilising mobile learning in the context of flipped learning. Journal of Learning for Development, 12(3), 560–572. https://doi.org/10.56059/jl4d.v12i3.1611
  • Mulyanah, E. Y., Amarullah, A., & Ishak. (2024). TikTok: How the application became the motivation for online learning for EFL students during the COVID-19 pandemic in Indonesia. Theory and Practice in Language Studies, 14(4), 1264–1273. https://doi.org/10.17507/tpls.1404.34
  • Ngampornchai, A., & Adams, J. (2016). Students’ acceptance and readiness for e-learning in northeastern Thailand. International Journal of Educational Technology in Higher Education, 13(1), Article 34. https://doi.org/10.1186/s41239-016-0034-x
  • Noetel, M., Griffith, S., Delaney, O., Sanders, T., Parker, P., del Pozo Cruz, B., & Lonsdale, C. (2021). Video improves learning in higher education: A systematic review. Review of Educational Research, 91(2), 204–236. https://doi.org/10.3102/0034654321990713
  • Okumura, S. (2026). Video creation in technology-mediated task-based language teaching: A study in Japanese elementary classrooms. International Journal of Didactical Studies, 7(2), Article e36929. https://doi.org/10.33902/ijods.202636929
  • Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., . . . McKenzie, J. E. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ, 372, Article n160. https://doi.org/10.1136/bmj.n160
  • Paul, J., Khatri, P., & Kaur Duggal, H. (2024). Frameworks for developing impactful systematic literature reviews and theory building: What, why and how? Journal of Decision Systems, 33(4), 537–550. https://doi.org/10.1080/12460125.2023.2197700
  • Paul, J., Lim, W. M., O’Cass, A., Hao, A. W., & Bresciani, S. (2021). Scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR). International Journal of Consumer Studies, 45(4), O1–O16. https://doi.org/10.1111/ijcs.12695
  • Paul, J., & Rosado-Serrano, A. (2019). Gradual internationalization vs born-global/international new venture models: A review and research agenda. International Marketing Review, 36(6), 830–858. https://doi.org/10.1108/IMR-10-2018-0280
  • Perez, E., Manca, S., Fernández-Pascual, R., & Mc Guckin, C. (2023). A systematic review of social media as a teaching and learning tool in higher education: A theoretical grounding perspective. Education and Information Technologies, 28(9), 11921–11950. https://doi.org/10.1007/s10639-023-11647-2
  • Pranckutė, R. (2021). Web of Science (WoS) and Scopus: The titans of bibliographic information in today’s academic world. Publications, 9(1), Article 12. https://doi.org/10.3390/publications9010012
  • Rahman, A., Raj, A., Tomy, P., & Hameed, M. S. (2024). A comprehensive bibliometric and content analysis of artificial intelligence in language learning: Tracing between the years 2017 and 2023. Artificial Intelligence Review, 57(4), Article 107. https://doi.org/10.1007/s10462-023-10643-9
  • Reid Chassiakos, Y. L., Radesky, J., Christakis, D., Moreno, M. A., Cross, C., & Council on Communications and Media. (2016). Children and adolescents and digital media. Pediatrics, 138(5), Article e20162593. https://doi.org/10.1542/peds.2016-2593
  • Rey, G. D., Beege, M., Nebel, S., Wirzberger, M., Schmitt, T. H., & Schneider, S. (2019). A meta-analysis of the segmenting effect. Educational Psychology Review, 31(2), 389–419. https://doi.org/10.1007/s10648-018-9456-4
  • Rodgers, M. P. H., & Webb, S. (2017). The effects of captions on EFL learners’ comprehension of English-language television programs. CALICO Journal, 34(1), 20–38. https://doi.org/10.1558/cj.29522
  • Romanyshyn, I., & Freiuk, I. (2024). Implementing learner autonomy in English as a foreign language classroom through a flipped classroom pedagogical approach. Journal of Vasyl Stefanyk Precarpathian National University, 11(3), 26–35. https://doi.org/10.15330/jpnu.11.3.26-35
  • Saed, H. A., Haider, A. S., Al-Salman, S., & Hussein, R. F. (2021). The use of YouTube in developing the speaking skills of Jordanian EFL university students. Heliyon, 7(7), Article e07543. https://doi.org/10.1016/j.heliyon.2021.e07543
  • Saito, K., & Akiyama, Y. (2017). Video-based interaction, negotiation for comprehensibility, and second language speech learning: A longitudinal study. Language Learning, 67(1), 43–74. https://doi.org/10.1111/lang.12184
  • Sankaranarayanan, R., Leung, J., Abramenka-Lachheb, V., Seo, G., & Lachheb, A. (2023). Microlearning in diverse contexts: A bibliometric analysis. TechTrends, 67(2), 260–276. https://doi.org/10.1007/s11528-022-00794-x
  • Setiawan, B., Nugraha, D. P., Irawan, A., Nathan, R. J., & Zoltan, Z. (2021). User innovativeness and fintech adoption in Indonesia. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), Article 188. https://doi.org/10.3390/joitmc7030188
  • Shafiee Rad, H. (2023). Flipping in a microlearning way: Effects on EFL learners’ achievement and motivation in a grammar course. Teaching English with Technology, 23(1), 58–79. https://doi.org/10.56297/BKAM1691/DFGF8748
  • Siebers, T., Beyens, I., Pouwels, J. L., & Valkenburg, P. M. (2022). Social media and distraction: An experience sampling study among adolescents. Media Psychology, 25(3), 343–366. https://doi.org/10.1080/15213269.2021.1959350
  • Siles, I., Valerio-Alfaro, L., & Meléndez-Moran, A. (2024). Learning to like TikTok . . . and not: Algorithm awareness as process. New Media & Society, 26(10), 5702–5718. https://doi.org/10.1177/14614448221138973
  • Skulmowski, A., & Xu, K. M. (2022). Understanding cognitive load in digital and online learning: A new perspective on extraneous cognitive load. Educational Psychology Review, 34(1), 171–196. https://doi.org/10.1007/s10648-021-09624-7
  • Su, Y. (2023). Delving into EFL teachers’ digital literacy and professional identity in the pandemic era: Technological Pedagogical Content Knowledge (TPACK) framework. Heliyon, 9(6), Article e16361. https://doi.org/10.1016/j.heliyon.2023.e16361
  • Sweller, J. (1988). Cognitive load during problem solving: Effects on learning. Cognitive Science, 12(2), 257–285. https://doi.org/10.1207/s15516709cog1202_4
  • Tan, K. H., Rajendran, A., Muslim, N., Alias, J., & Yusof, N. A. (2022). The potential of TikTok’s key features as a pedagogical strategy for ESL classrooms. Sustainability, 14(24), Article 16876. https://doi.org/10.3390/su142416876
  • Tan, K. H., Rajendran, A., Philip, B., Alias, J., Mat Saad, S., & Mohamad, Z. (2024). Utilising TikTok features for speech communication. World Journal of English Language, 14(2), 65. https://doi.org/10.5430/wjel.v14n2p65
  • 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
  • Vargas-Saritama, A., & Espinoza-Celi, V. (2026). Pedagogical benefits and challenges of integrating TikTok into EFL learning. International Journal of Computer-Assisted Language Learning and Teaching, 16(1), 1–20. https://doi.org/10.4018/IJCALLT.397403
  • Wang, J., & Curran, N. M. (2025). Competing for views and students: The implications of platformization for online language teaching. TESOL Quarterly, 59(3), 1262–1287. https://doi.org/10.1002/tesq.3354
  • Zhang, Y., Lucas, M., & Pedro, L. (2022). A decade of short videos for foreign language teaching and learning: A review. Education Sciences, 12(11), Article 786. https://doi.org/10.3390/educsci12110786
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