References
- 1Agarwal, P. K., Nunes, L. D., & Blunt, J. R. (2021). Retrieval Practice Consistently Benefits Student Learning: a Systematic Review of Applied Research in Schools and Classrooms. Educational Psychology Review, 33, 1409–1453. DOI: 10.1007/s10648-021-09595-9
- 2Azabdaftari, B., & Mozaheb, M. (2012). Comparing vocabulary learning of EFL learners by using two different strategies: Mobile learning vs. Flashcards. The EUROCALL Review, 20(2), 13. DOI: 10.4995/eurocall.2012.11377
- 3Balduzzi, S., Rucker, G., & Schwarzer, G. (2019). How to perform a meta-analysis with R: a practical tutorial. DOI: 10.1136/ebmental-2019-300117
- 4Bano, M., Zowghi, D., Kearney, M., Schuck, S., & Aubusson, P. (2018). Mobile learning for science and mathematics school education: A systematic review of empirical evidence. Computers & Education, 121, 30–58. DOI: 10.1016/j.compedu.2018.02.006
- 5Başoğlu, E., & Akdemir, Ö. (2010). A Comparison of Undergraduate Students’ English Vocabulary Learning: Using Mobile Phones and Flash Cards. The Turkish Online Journal of Educational Technology, 9(3).
- 6Belardi, A., Pedrett, S., Rothen, N., & Reber, T. P. (2021). Spacing, Feedback, and Testing Boost Vocabulary Learning in a Web Application. Frontiers in Psychology, 12, 5072. DOI: 10.3389/fpsyg.2021.757262
- 7Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. (2009).
Introduction to Meta-Analysis . John Wiley & Sons. DOI: 10.1002/9780470743386 - 8Bozdoğan, D. (2015). MALL Revisited: Current Trends and Pedagogical Implications. Procedia – Social and Behavioral Sciences, 195, 932–939. DOI: 10.1016/j.sbspro.2015.06.373
- 9Burston, J. (2015). Twenty years of MALL project implementation: A meta-analysis of learning outcomes. ReCALL, 27(1), 4–20. DOI: 10.1017/S0958344014000159
- 10Cavus, N., & Ibrahim, D. (2017). Learning English using children’s stories in mobile devices: Children’s stories in mobile devices. British Journal of Educational Technology, 48(2), 625–641. DOI: 10.1111/bjet.12427
- 11Chen, C., & Chung, C. (2008). Personalized mobile English vocabulary learning system based on item response theory and learning memory cycle. Computers & Education, 51(2), 624–645. DOI: 10.1016/j.compedu.2007.06.011
- 12Chen, C., & Hsu, S. (2008). Personalized Intelligent Mobile Learning System for Supporting Effective English Learning. Educational Technology & Society, 11(3), 153–180. DOI:
http://www.jstor.org/stable/jeductechsoci.11.3.153 - 13Chen, C., & Li, Y. (2010). Personalised context-aware ubiquitous learning system for supporting effective English vocabulary learning. Interactive Learning Environments, 18(4), 341–364. DOI: 10.1080/10494820802602329
- 14Chen, Z., Chen, W., Jia, J., & An, H. (2020). The effects of using mobile devices on language learning: a meta-analysis. Education Technology, Research and Development, 68, 1769–1789. DOI: 10.1007/s11423-020-09801-5
- 15Cho, K., Lee, S., Joo, M., & Becker, B. (2018). The Effects of Using Mobile Devices on Student Achievement in Language Learning: A Meta-Analysis. Education Sciences, 8(3), 105. DOI: 10.3390/educsci8030105
- 16Darmi, R., & Albion, P. (2014). A Review of Integrating Mobile Phones for Language Learning. International Association for Development of the Information Society.
- 17Dempster, F. N. (1987). Effects of variable encoding and spaced presentations on vocabulary learning. Journal of Educational Psychology, 79(2), 162–170. DOI: 10.1037/0022-0663.79.2.162
- 18Duval, S., & Tweedie, R. (2000). Trim and Fill: A Simple Funnel-Plot–Based Method of Testing and Adjusting for Publication Bias in Meta-Analysis. Biometrics, 56(2), 455–463. DOI: 10.1111/j.0006-341X.2000.00455.x
- 19Egger, M., Smith, G., Schneider, M., & Minder, C. (1997). Bias in meta-analysis detected by a simple, graphical test. BMJ, 315(7109), 629–634. DOI: 10.1136/bmj.315.7109.629
- 20Fageeh, A. (2013). Effects of MALL Applications on Vocabulary Acquisition and Motivation. Arab World English Journal, 4(4), 420–447.
- 21Guyatt, G. H., Oxman, A. D., Vist, G. E., Kunz, R., Falck-Ytter, Y., Alonso-Coello, P., & Schünemann, H. J. (2008). GRADE: an emerging consensus on rating quality of evidence and strength of recommendations. Bmj, 336(7650), 924–926. DOI: 10.1136/bmj.39489.470347.AD
- 22Harrer, M., Cuijpers, P., Furukawa, T., & Ebert, D. (2019). dmetar: Companion R Package For The Guide ‘Doing Meta-Analysis in R’.
http://dmetar.protectlab.org - 23Harrer, M., Cuijpers, P., Furukawa, T. A., & Ebert, D. D. (2021).
Doing Meta-Analysis with R: A Hands-On Guide . Boca Raton, FL and London: Chapman & Hall/CRC Press. ISBN 978-0-367-61007-4. DOI: 10.1201/9781003107347 - 24Hedges, L. V. (1981). Distribution Theory for Glass’s Estimator of Effect size and Related Estimators. Journal of Educational Statistics, 6(2), 107–128. DOI: 10.2307/1164588
- 25Higgins, J., Thomas, J., Chandler, J., Cumpston, M., Li, T., Page, M., & Welch, V. (eds.) (2019). Cochrane Handbook for Systematic Reviews of Interventions version 6.0 (updated July 2019). Cochrane, 2019. Available from
www.training.cochrane.org/handbook . DOI: 10.1002/9781119536604 - 26Higgins, J., Savović, J., Page, M. J., Elbers, R. G., & Sterne, J. A. C. (2020).
Chapter 8: Assessing risk of bias in a randomized trial . In: J. P. T. Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M. J. Page & V. A. Welch (eds.), Cochrane Handbook for Systematic Reviews of Interventions version 6.1 (updated September 2020). Cochrane, 2020. Available fromwww.training.cochrane.org/handbook - 27Hsieh, T., Wang, T., Su, C., & Lee, M. (2012). A fuzzy logic-based personalized learning system for supporting adaptive English learning. Journal of Educational Technology & Society, 15(1), 273–288.
- 28Hsu, C., Hwang, G., & Chang, C. (2013). A personalized recommendation-based mobile learning approach to improving the reading performance of EFL students. Computers & Education, 63, 327–336. DOI: 10.1016/j.compedu.2012.12.004
- 29Hwang, W., Chen, H., Shadiev, R., Huang, Y., & Chen, C. (2014). Improving English as a foreign language writing in elementary schools using mobile devices in familiar situational contexts. Computer Assisted Language Learning, 27(5), 359–378. DOI: 10.1080/09588221.2012.733711
- 30Ibrahim, N., Chee, K., & Yahaya, N. (2017). Effectiveness of mobile learning application in improving reading skills in Chinese language and towards post-attitudes. International Journal of Mobile Learning and Organisation, 11(3), 210. DOI: 10.1504/IJMLO.2017.10005992
- 31Kapler, I. V., Weston, T., & Wiseheart, M. (2015). Spacing in a simulated undergraduate classroom: Long-term benefits for factual and higher-level learning. Learning and Instruction, 36, 38–45. DOI: 10.1016/j.learninstruc.2014.11.001
- 32Kast, M., Baschera, G. M., Gross, M., Jäncke, L., & Meyer, M. (2011). Computer-based learning of spelling skills in children with and without dyslexia. Annals of dyslexia, 61(2), 177–200. DOI: 10.1007/s11881-011-0052-2
- 33Khodabandeh, F., & Soleimani, H. (2017). The Effect of MALL-Based Tasks on EFL Learners’ Grammar Learning. Teaching English with Technology, 17(2), 29–41.
- 34Kiliçkaya, F., & Krajka, J. (2010). Comparative Usefulness of Online and Traditional Vocabulary Learning. The Turkish Online Journal of Educational Technology, 9(2).
- 35Kim, H., & Kwon, Y. (2012). Exploring Smartphone Applications for Effective Mobile-Assisted Language Learning. Multimedia-Assisted Language Learning, 15(1), 31–57. DOI: 10.15702/mall.2012.15.1.31
- 36Knapp, G., & Hartung, J. (2003). Improved tests for a random effects meta-regression with a single covariate. Statistics in medicine, 22(17), 2693–2710. DOI: 10.1002/sim.1482
- 37Kondo, M., Ishikawa, Y., Smith, C., Sakamoto, K., Shimomura, H., & Wada, N. (2012). Mobile Assisted Language Learning in university EFL courses in Japan: Developing attitudes and skills for self-regulated learning. ReCALL, 24(2), 169–187. DOI: 10.1017/S0958344012000055
- 38Kukulska-Hulme, A. (2012). Mobile-Assisted language learning. The encyclopedia of applied linguistics (pp. 1–9). DOI: 10.1002/9781405198431.wbeal0768.pub2
- 39Lan, Y., & Lin, Y. (2016). Mobile Seamless Technology Enhanced CSL Oral Communication. Journal of Educational Technology & Society, 19(3), 335–350. DOI:
https://www.jstor.org/stable/10.2307/jeductechsoci.19.3.335 - 40Lee, P. (2014, September). Are mobile devices more useful than conventional means as tools for learning vocabulary? Paper presented at 2014 IEEE 8th International Symposium on Embedded Multicore/Manycore SoCs, Aizu-Wakamatsu, Japan. DOI: 10.1109/MCSoC.2014.24
- 41Li, J.-T., & Tong, F. (2019). “Multimedia-assisted self-learning materials: the benefits of E-flashcards for vocabulary learning in Chinese as a foreign language.” Reading and Writing, 32(5), 1175–1195. DOI: 10.1007/s11145-018-9906-x
- 42Li, Z., & Hegelheimer, V. (2013). Mobile-Assisted Grammar Exercises: Effects on Self-Editing in L2 Writing. Language Learning & Technology, 17(3), 135–156. DOI: 10.125/44343
- 43Lin, M., Chen, H., & Liu, K. (2017). A Study of the Effects of Digital Learning on Learning Motivation and Learning Outcome. EURASIA Journal of Mathematics, Science and Technology Education, 13(7). DOI: 10.12973/eurasia.2017.00744a
- 44Lüdecke, D. (2019). _esc: Effect Size Computation for Meta Analysis (Version 0.5.1). DOI: 10.5281/zenodo.1249218
- 45Maassen, E., van Assen, M., Nuijten, M., Olsson-Collentine, A., & Wicherts, J. (2020). Reproducibility of individual effect sizes in meta-analyses in psychology. PLOS ONE, 15(5),
e0233107 . DOI: 10.1371/journal.pone.0233107 - 46Mahdi, H. S. (2018). Effectiveness of Mobile Devices on Vocabulary Learning: A Meta-Analysis. Journal of Educational Computing Research, 56(1), 134–154. DOI: 10.1177/0735633117698826
- 47McDaniel, M., Fadler, C., & Pashler, H. (2013). Effects of spaced versus massed training in function learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(5), 1417–1432. DOI: 10.1037/a0032184
- 48McShane, B. B., Böckenholt, U., & Hansen, K. T. (2016). Adjusting for publication bias in meta-analysis: An evaluation of selection methods and some cautionary notes. Perspectives on Psychological Science, 11, 730–749. DOI: 10.1177/1745691616662243
- 49Metcalfe, J. (2017). Learning from Errors. Annual Review of Psychology, 68(1), 465–489. DOI: 10.1146/annurev-psych-010416-044022
- 50Oz, H. (2013). Prospective English teachers’ ownership and usage of mobile device as m-learning tools. Procedia-Social and Behavioral Sciences, 141, 1031–1041. DOI: 10.1016/j.sbspro.2014.05.173
- 51Ozer, O., & Kılıç, F. (2018). The Effect of Mobile-Assisted Language Learning Environment on EFL Students’ Academic Achievement, Cognitive Load and Acceptance of Mobile Learning Tools. EURASIA Journal of Mathematics, Science and Technology Education, 14(7). DOI: 10.29333/ejmste/90992
- 52Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. International Journal of Surgery, 88, 105906.
- 53Parsons, D., & Ryu, H. (2006). A Framework for Assessing the Quality of Mobile Learning. In Proceedings of the 11th International Conference for Process Improvement, Research and Education.
- 54Pustejovsky, J. E., & Melissa, A. R. (2019). “Testing for Funnel Plot Asymmetry of Standardized Mean Differences.” Research Synthesis Methods, 10(1), 57–71. DOI: 10.1002/jrsm.1332
- 55R Core Team. (2020).
R: A language and environment for statistical computing . Vienna, Austria: R Foundation of Statistical Computing.https://www.R-project.org/ - 56Rachels, J. R., & Rockinson-Szapkiw, A. J. (2017). The effects of a mobile gamification app on elementary students’ Spanish achievement and self-efficacy. Computer Assisted Language Learning, 31(1–2), 72–89. DOI: 10.1080/09588221.2017.1382536
- 57Rahimi, M., & Miri, S. S. (2014). The Impact of Mobile Dictionary Use on Language Learning. Paper presented at International Conference on Current Trends in ELT. DOI: 10.1016/j.sbspro.2014.03.567
- 58Reber, T. P., & Rothen, N. (2018). Educational App-Development needs to be informed by the Cognitive Neurosciences of Learning & Memory. Npj Science of Learning, 3(1), 22. DOI: 10.1038/s41539-018-0039-4
- 59Roediger, H. L., & Butler, A. C. (2011). The critical role of retrieval practice in long-term retention. Trends in Cognitive Sciences, 15(1), 20–27. DOI: 10.1016/j.tics.2010.09.003
- 60Sandberg, J., Maris, M., & de Geus, K. (2011). Mobile English learning: An evidence-based study with fifth graders. Computers & Education, 57(1), 1334–1347. DOI: 10.1016/j.compedu.2011.01.015
- 61Schwarzer, G., James, R. C., & Rücker, G. (2015).
Meta-Analysis with R . Use R! Cham: Springer International Publishing. DOI: 10.1007/978-3-319-21416-0 - 62Shadiev, R., Hwang, W., & Liu, T. (2018). Investigating the effectiveness of a learning activity supported by a mobile multimedia learning system to enhance autonomous EFL learning in authentic contexts. Educational Technology Research and Development, 66(4), 893–912. DOI: 10.1007/s11423-018-9590-1
- 63Shams, L., & Seitz, A. R. (2008). Benefits of multisensory learning. Trends in Cognitive Sciences, 12(11), 411–417. DOI: 10.1016/j.tics.2008.07.006
- 64Sobel, H. S., Cepeda, N. J., & Kapler, I. V. (2011). Spacing effects in real-world classroom vocabulary learning. Applied Cognitive Psychology, 25(5), 763–767. DOI: 10.1002/acp.1747
- 65Stanley, T. D., & Doucouliagos, H. (2014). Meta-regression approximations to reduce publication selection bias. Research Synthesis Methods, 5(1), 60–78. DOI: 10.1002/jrsm.1095
- 66Sterne, J., Savović, J., Page, M., Elbers, R., Blencowe, N., Boutron, I., Cates, C., Cheng, H., Corbett, M., Eldridge, S., Hernán, M., Hopewell, S., Hróbjartsson, A., Junqueira, D. R., Jüni, P., Kirkham, J. J., Lasserson, T., Li, T., McAleenan, A., Reeves, B. C., Shepperd, S., Shrier, I., Stewart, L. A., Tilling, K., White, I. R., Whiting, P. F., & Higgins, J. P. T. (2019). RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ, 366, l4898. DOI: 10.1136/bmj.l4898
- 67Sung, Y., Chang, K., & Liu, T. (2016). The effects of integrating mobile devices with teaching and learning on students’ learning performance: A meta-analysis and research synthesis. Computers & Education, 94, 252–275. DOI: 10.1016/j.compedu.2015.11.008
- 68Sung, Y., Chang, K., & Yang, J. (2015). How effective are mobile devices for language learning? A meta-analysis. Educational Research Review, 16, 68–84. DOI: 10.1016/j.edurev.2015.09.001
- 69Taj, I., Sulan, N., Sipra, M., & Ahmad, W. (2016). Impact of Mobile Assisted Language Learning (MALL) on EFL: A Meta-Analysis. Advances in Language and Literary Studies, 7(2). DOI: 10.7575/aiac.alls.v.7n.2p.76
- 70Thornton, P., & Houser, C. (2005). Using mobile phones in English education in Japan: Using mobile phones in English education in Japan. Journal of Computer Assisted Learning, 21(3), 217–228. DOI: 10.1111/j.1365-2729.2005.00129.x
- 71Viberg, O., & Grönlund, Å. (2012). Mobile assisted language learning: A literature review. In 11th World Conference on Mobile and Contextual Learning.
- 72Viechtbauer, W. (2005). Bias and efficiency of meta-analytic variance estimators in the random-effects model. Journal of Educational and Behavioral Statistics, 30(3), 261–293. DOI: 10.3102/10769986030003261
- 73Viechtbauer, W. (2010). Conducting meta-analyses in R with the metafor package. Journal of Statistical Software, 36(3), 1–48. DOI: 10.18637/jss.v036.i03
- 74Wang, Y. (2016). Integrating self-paced mobile learning into language instruction: Impact on reading comprehension and learner satisfaction. Interactive Learning Environments, 25(3), 397–411. DOI: 10.1080/10494820.2015.1131170
- 75Wang, Y., & Shih, S. (2015). Mobile-assisted language learning: Effects on EFL vocabulary learning. International Journal of Mobile Communications, 13(4), 358. DOI: 10.1504/IJMC.2015.070060
- 76Weinstein, Y., Madan, C., & Sumeracki, M. (2018). Teaching the science of learning. Cognitive Research: Principles and Implications, 3(1), 2. DOI: 10.1186/s41235-017-0087-y
- 77Wu, Q. (2014). Learning ESL Vocabulary with Smartphones. Procedia – Social and Behavioral Sciences, 143, 302–307. DOI: 10.1016/j.sbspro.2014.07.409
- 78Wu, Q. (2015a). Pulling Mobile Assisted Language Learning (MALL) into the Mainstream: MALL in Broad Practice. PLoS ONE, 10(5),
e0128762 . DOI: 10.1371/journal.pone.0128762 - 79Wu, Q. (2015b). Designing a smartphone app to teach English (L2) vocabulary. Computers & Education, 85, 170–179. DOI: 10.1016/j.compedu.2015.02.013
- 80Wu, Q., Wu, Y., Chen, C., Kao, H., Lin, C., & Huang, S. (2012). Review of trends from mobile learning studies: A meta-analysis. Computers & Education, 59(2), 817–827. DOI: 10.1016/j.compedu.2012.03.016
- 81Wu, T., Sung, T., Huang, Y., & Yang, C. (2011). Ubiquitous English Learning System with Dynamic Personalized Guidance of Learning Portfolio. Journal of Educational Technology & Society, 14(4), 164–180. DOI:
https://www.jstor.org/stable/10.2307/jeductechsoci.14.4.164 - 82Yaman, I., Senel, M., & Yesilel, D. B. A. (2015). Exploring the extent to which ELT students utilize smartphones for language learning purposes. South African Journal of Education, 35(4), 9. DOI: 10.15700/saje.v35n4a1198
- 83Yang, C., Luo, L., Vadillo, M. A., Yu, R., & Shanks, D. R. (2021). Testing (quizzing) boosts classroom learning: A systematic and meta-analytic review. Psychological Bulletin, 147(4), 399–435. DOI: 10.1037/bul0000309
- 84Zhang, Y. (2016, August). The impact of mobile learning on ESL listening comprehension. Paper Presented at 3rd International Conference on Advanced Education and Management (ICAEM 2016), Hangzhou, Zheijiang, China. DOI: 10.12783/dtssehs/icaem2016/4290
- 85Zou, D., & Xie, H. (2018). Personalized Word-Learning based on Technique Feature Analysis and Learning Analytics. Journal of Educational Technology & Society, 21(2), 233–244. DOI:
https://www.jstor.org/stable/10.2307/26388402 - 86Zydney, J. M., & Warner, Z. (2016). Mobile apps for science learning: Review of research. Computers & Education, 94, 1–17. DOI: 10.1016/j.compedu.2015.11.001
