Review Article

Assessing the effectiveness of smartphones in education: A Meta-analysis of recent studies

Artur G. Ibragimov 1 * , Vagiz G. Gimaliev 2 , Elena G. Khrisanova 3 , Natalia S. Aleksandrova 4 , Leyla B. Omarova 5 , Andrey G. Bakiev 6
More Detail
1 PhD in Law, Associate Professor of the Department of Criminal Process and Criminalistics, Kazan (Volga Region) Federal University, Kazan, RUSSIA2 Candidate of Pedagogical Sciences, Associate Professor of the Department of Foreign Languages №2, Chuvash State University, Cheboksary, RUSSIA3 Doctor of Education, Professor, Head of the Department of Humanities, I.Y. Yakovlev Chuvash State Pedagogical University, Cheboksary, RUSSIA4 Doctor of Education, Professor of the Department of Pedagogics and Technology of Preschool and Primary Education, Vyatka State University, Kirov, RUSSIA5 PhD in Philosophy, Associate Professor of the Department of Humanities, Financial University under the Government of the Russian Federation, Moscow, RUSSIA6 Candidate of Philology, Associate Professor of the Department of Linguodidactics and Translation Studies, Bashkir State University, Ufa, RUSSIA* Corresponding Author
Online Journal of Communication and Media Technologies, 13(2), April 2023, e202310, https://doi.org/10.30935/ojcmt/12877
Published Online: 25 January 2023, Published: 01 April 2023
OPEN ACCESS   1594 Views   3155 Downloads
Download Full Text (PDF)

ABSTRACT

The usage of mobile devices is increasing in frequency and scope. The percentage of students who use smartphones is quite high, in particular among those attending institutions of higher education. Like they would with any other technology, educators are doing research on the efficacy of using smartphones in the classroom. Studies have been conducted on the efficacy of using smartphones in face-to-face education as well as in the process of distant education, which has grown more common as a direct result of COVID-19. The purpose of this study is to do a meta-analysis of the data from previous experimental studies that looked at how well smartphones have been used over the past five years. The total effect size that has been calculated is 3.73. Since p = 0.05, this effect's size is statistically important. This finding has a big effect, as can be seen. For each study, an effect size calculation was done based on Hedges' g. The size of the effect is between -8 and 25.70.

CITATION (APA)

Ibragimov, A. G., Gimaliev, V. G., Khrisanova, E. G., Aleksandrova, N. S., Omarova, L. B., & Bakiev, A. G. (2023). Assessing the effectiveness of smartphones in education: A Meta-analysis of recent studies. Online Journal of Communication and Media Technologies, 13(2), e202310. https://doi.org/10.30935/ojcmt/12877

REFERENCES

  1. Ahmed, R. R., Salman, F., Malik, S. A., Streimikiene, D., Soomro, R. H., & Pahi, M. H. (2020). Smartphone use and academic performance of university students: A mediation and moderation analysis. Sustainability, 12(1), 1-28. https://doi.org/10.3390/SU12010439
  2. Alghazzawi, D. M., Hasan, S. H., Aldabbagh, G., Alhaddad, M., Malibari, A., Asghar, M. Z., & Aljuaid, H. (2021). Development of platform independent mobile learning tool in Saudi universities. Sustainability, 13(10). https://doi.org/10.3390/su13105691
  3. Anshari, M., Almunawar, M. N., Shahrill, M., Wicaksono, D. K., & Huda, M. (2017). Smartphones usage in the classrooms: Learning aid or interference? Education and Information Technologies, 22(6), 3063-3079. https://doi.org/10.1007/s10639-017-9572-7
  4. Arain, A. A., Hussain, Z., Rizvi, W. H., & Vighio, M. S. (2018). An analysis of the influence of a mobile learning application on the learning outcomes of higher education students. Universal Access in the Information Society, 17(2), 325-334. https://doi.org/10.1007/s10209-017-0551-y
  5. Bell, J., Cheng, C., Klautke, H., Cain, W., Freer, D., & Hinds, T. (2018). A study of augmented reality for the development of spatial reasoning ability. 2018 ASEE Annual Conference & Exposition Proceedings. https://doi.org/10.18260/1-2--29726
  6. Briz-Ponce, L., Juanes-Méndez, J. A., García-Peñalvo, F. J., & Pereira, A. (2016). Effects of mobile learning in medical education: A counterfactual evaluation. Journal of Medical Systems, 40(6). https://doi.org/10.1007/s10916-016-0487-4
  7. Chang, C. Y., Kuo, S. Y., & Hwang, G. H. (2022). Chatbot-facilitated nursing education: Incorporating a knowledge based chatbot system into a nursing training program. Educational Technology and Society, 25(1), 15-27.
  8. Chorosova, O. M., Aetdinova, R. R., Solomonova, G. S., & Protodyakonova, G. Y. (2020). Conceptual approaches to the identification of teachers’ digital competence: Cognitive modelling. Education and Self Development, 15(3), 189-202. https://doi.org/10.26907/esd15.3.16
  9. Chuang, Y. H., Lai, F. C., Chang, C. C., & Wan, H. T. (2018). Effects of a skill demonstration video delivered by smartphone on facilitating nursing students’ skill competencies and self-confidence: A randomized controlled trial study. Nurse Education Today, 66(July 2017), 63-68. https://doi.org/10.1016/j.nedt.2018.03.027
  10. Clavier, T., Ramen, J., Dureuil, B., Veber, B., Hanouz, J. L., Dupont, H., Lebuffe, G., Besnier, E., & Compere, V. (2019). Use of the smartphone app whatsapp as an E-learning method for medical residents: Multicenter controlled randomized trial. JMIR MHealth and UHealth, 7(4), 1-10. https://doi.org/10.2196/12825
  11. Dabbour, E. (2016). Quantifying the effects of using online student response systems in an engineering ethics course. Journal of Professional Issues in Engineering Education and Practice, 142(2), 1-9. https://doi.org/10.1061/(ASCE)EI.1943-5541.0000260
  12. Daliri B.O, M., M. Majd, H., & Moradi, A. (2021). Investigating a newly developed educational orthopedic application for medical interns in a before-after quasi-clinical trial study. BMC Medical Education, 21(1), 1-10. https://doi.org/10.1186/s12909-021-02918-y
  13. Faimau, G., Tlhowe, K., & Tlhaolang, O. (2022). Smartphone use, experience of learning environment, and academic performance among university students: A descriptive appraisal. Advances in Human-Computer Interaction, 2022. https://doi.org/10.1155/2022/2617596
  14. Field, A. P., & Gillett, R. (2010). How to do a meta-analysis. British Journal of Mathematical and Statistical Psychology, 63(3), 665-694. https://doi.org/10.1348/000711010X502733
  15. Foen Ng, S., Syamimi Iliani Che Hassan, N., Hairunnisa Mohammad Nor, N., & Ain Abdul Malek, N. (2017). The relationship between smartphone use and academic performance: A case of students in a Malaysian tertiary institution. Malaysian Online Journal of Educational Technology, 5(4), 58-70. https://files.eric.ed.gov/fulltext/EJ1156718.pdf
  16. Hedges, L. V. (1992). Meta-analysis. Journal of Educational Statistics, 17(4), 279-296. https://doi.org/10.3102/10769986017004279
  17. Jackson, D., Kaveh, H., Victoria, J., Walker, A., & Bursztyn, N. (2019). Integrating an augmented reality sandbox challenge activity into a large-enrollment introductory geoscience lab for nonmajors produces no learning gains. Journal of Geoscience Education, 67(3), 237-248. https://doi.org/10.1080/10899995.2019.1583786
  18. Jaramillo, A., Salinas-Cerda, J. P., & Fuentes, P. (2022). Self-regulated learning and academic performance in chilean university students in virtual mode during the pandemic: Effect of the 4Planning app. Frontiers in Psychology, 13(May). https://doi.org/10.3389/fpsyg.2022.890395
  19. Jia, J., & Chen, Z. (2020). Voluntary participation and natural grouping with smartphones: An effective and practical approach to implement a quasi-experiment. International Journal of Mobile Learning and Organisation, 14(1), 49-62. https://doi.org/10.1504/IJMLO.2020.103935
  20. Junco, R. (2012). In-class multitasking and academic performance. Computers in Human Behavior, 28(6), 2236-2243. https://doi.org/10.1016/j.chb.2012.06.031
  21. Jung, Y. (2014). What a smartphone is to me: Understanding user values in using smartphones. Information Systems Journal, 24(4), 299-321. https://doi.org/10.1111/isj.12031
  22. Kacetl, J., & Klímová, B. (2019). Use of smartphone applications in english language learning—A challenge for foreign language education. Education Sciences, 9(3), 1-9. https://doi.org/10.3390/educsci9030179
  23. Kates, A. W., Wu, H., & Coryn, C. L. S. (2018). The effects of mobile phone use on academic performance: A meta-analysis. Computers and Education, 127(March), 107-112. https://doi.org/10.1016/j.compedu.2018.08.012
  24. Kim, J. H., & Park, H. (2019). Effects of smartphone-based mobile learning in nursing education: A systematic review and meta-analysis. Asian Nursing Research, 13(1), 20-29. https://doi.org/10.1016/j.anr.2019.01.005
  25. Kim, S. J., Shin, H., Lee, J., Kang, S. R., & Bartlett, R. (2017). A smartphone application to educate undergraduate nursing students about providing care for infant airway obstruction. Nurse Education Today, 48, 145-152. https://doi.org/10.1016/j.nedt.2016.10.006
  26. Kryukova, N. I., Chistyakov, A. A., Shulga, T. I., Omarova, L. B., Tkachenko, T. V., Malakhovsky, A. K., & Babieva N. S. (2022). Adaptation of higher education students’ digital skills survey to Russian universities. Eurasia Journal of Mathematics, Science and Technology Education, 18(11), em2183. https://doi.org/10.29333/ejmste/12558
  27. Kumar, P. R. S., Aruna, K., Kumar, A., & P., V. (2021). A smartphone use and its impact on academic performance of medical students: A cross sectional study. International Journal of Advances in Medicine, 8(10), 1582. https://doi.org/10.18203/2349-3933.ijam20213714
  28. Lin, Y., Liu, Y., Fan, W., Tuunainen, V. K., & Deng, S. (2021). Revisiting the relationship between smartphone use and academic performance: A large-scale study. Computers in Human Behavior, 122(October 2020), 106835. https://doi.org/10.1016/j.chb.2021.106835
  29. Lobos, K., Sáez-Delgado, F., Bruna, D., Cobo-Rendon, R., & Díaz-Mujica, A. (2021). Design, validity and effect of an intra-curricular program for facilitating self-regulation of learning competences in university students with the support of the 4planning app. Education Sciences, 11(8). https://doi.org/10.3390/educsci11080449
  30. Loeffler, S. N., Bohner, A., Stumpp, J., Limberger, M. F., & Gidion, G. (2019). Investigating and fostering self-regulated learning in higher education using interactive ambulatory assessment. Learning and Individual Differences, 71(March), 43-57. https://doi.org/10.1016/j.lindif.2019.03.006
  31. Mella-Norambuena, J., Cobo-Rendon, R., Lobos, K., Sáez-Delgado, F., & Maldonado-Trapp, A. (2021). Smartphone use among undergraduate stem students during COVID-19: An opportunity for higher education? Education Sciences, 11(8). https://doi.org/10.3390/educsci11080417
  32. Normand, S. T. (1999). Meta-analysis: formulating, evaluating, combining, and reporting. Statistics in Medicine, 18(3), 321-359. https://doi.org/10.1002/(SICI)1097-0258(19990215)18:3<321::AID-SIM28>3.0.CO;2-P
  33. Oschepkov, A. A., Kidinov, A. V., Babieva, N. S., Vrublevskiy, A. S., Egorova, E. V., & Zhdanov, S. P. (2022). STEM technology-based model helps create an educational environment for developing students' technical and creative thinking. Eurasia Journal of Mathematics, Science and Technology Education, 18(5), em2110. https://doi.org/10.29333/ejmste/12033
  34. Park, K. Y., & Kim, M. S. (2018). Outcomes of a drug dosage calculation training smartphone app on learning achievement, metacognition, and flow state according to prior knowledge. Eurasia Journal of Mathematics, Science and Technology Education, 14(7), 2867-2876. https://doi.org/10.29333/ejmste/90984
  35. Pesha, A. (2022). The development of digital competencies and digital literacy in the 21st century: A survey of studies. Education and Self Development, 17(1), 201-220. https://doi.org/10.26907/esd.17.1.16
  36. Platonova, R. I., Khuziakhmetov, A. N., Prokopyev, A. I., Rastorgueva, N. E., Rushina, M. A., & Chistyakov, A. A. (2022). Knowledge in digital environments: A systematic review of literature. Frontiers in Education, 7, 1060455. https://doi.org/10.3389/feduc.2022.1060455
  37. Qarkaxhja, Y., Kryukova, N. I., Cherezova, Y. A., Rozhnov, S. N., Khairullina, E. R., & Bayanova, A. R. (2021). Digital transformation in education: Teacher candidate views on mobile learning. International Journal of Emerging Technologies in Learning, 16(19), 81-93. https://doi.org/10.3991/ijet.v16i19.26033
  38. Rosenthal, R., & DiMatteo, M. R. (2001). Meta-analysis: Recent developments in quantitative methods for literature reviews. Annual Review of Psychology, 52(1), 59-82. https://doi.org/10.1146/annurev.psych.52.1.59
  39. Sarker, I. H. (2019). Context-aware rule learning from smartphone data: survey, challenges and future directions. Journal of Big Data, 6(1), 1-25. https://doi.org/10.1186/s40537-019-0258-4
  40. Schmidt, F. (2008). Meta-analysis. Organizational Research Methods, 11(1), 96-113. https://doi.org/10.1177/1094428107303161
  41. Shakoor, F., Fakhar, A., & Abbas, J. (2021). Impact of smartphones usage on the learning behaviour and academic performance of students: Empirical evidence from Pakistan. International Journal of Academic Research in Business and Social Sciences, 11(2). https://doi.org/10.6007/ijarbss/v11-i2/8902
  42. Shen, Z. (2021). An empirical study on adult students’ English mobile learning based on frame model. E3S Web of Conferences, 275, 2019-2022. https://doi.org/10.1051/e3sconf/202127502034
  43. Singh, M. K. K., & Samah, N. A. (2018). Impact of smartphone: A review on positive and negative effects on students. Asian Social Science, 14(11), 83. https://doi.org/10.5539/ass.v14n11p83
  44. Sorakin, Y., Akarturk, H., Oznacar, B., Prokopyev, A. I., Burkhanova, I. Y., Musin, O. A., Shaleeva, E. F., & Krivonozhkina, E. G. (2022). Educational reflections on the coronavirus pandemic in three different countries. Eurasia Journal of Mathematics, Science and Technology Education, 18(11), em2180. https://doi.org/10.29333/ejmste/12514
  45. Sultan, L., Abuznadah, W., Al-Jifree, H., Khan, M. A., Alsaywid, B., & Ashour, F. (2020). An experimental study on usefulness of virtual reality 360° in undergraduate medical education. Advances in Medical Education and Practice, 10, 1103-1104. https://doi.org/10.2147/AMEP.S240292
  46. Sumathi, K., Selva Lakshmi, N., & Kundhavai, S. (2018). Reviewing the impact of smartphone usage on academic performance among students of higher learning. International Journal of Pure and Applied Mathematics, 118(8), 1-7.
  47. Tao, Z., Yang, X., Lai, I. K., & Chau, K. (2018). A research on the effect of smartphone use, student engagement and self-directed learning on individual impact: China empirical study. 2018 International Symposium on Educational Technology (ISET), 221-225. https://doi.org/10.1109/ISET.2018.00056
  48. The Jamovi project. (2022). jamovi ((Version 2.3.12)). https://www.jamovi.org/
  49. Wang, C. Y., Lu, C. Y., Yang, S. Y., Tsai, S. C., & Huang, T. W. (2022). 3D virtual reality smartphone training for chemotherapy drug administration by non-oncology nurses: A randomized controlled trial. Frontiers in Medicine, 9(June), 1-9. https://doi.org/10.3389/fmed.2022.889125
  50. Zakian, M., Xodabande, I., Valizadeh, M., & Yousefvand, M. (2022). Out-of-the-classroom learning of English vocabulary by EFL learners: Investigating the effectiveness of mobile assisted learning with digital flashcards. Asian-Pacific Journal of Second and Foreign Language Education, 7(1). https://doi.org/10.1186/s40862-022-00143-8
  51. Zhdanov, S. P., Baranova, K. M., Udina, N., Terpugov, A. E., Lobanova, E. V., & Zakharova, O. V. (2022). Analysis of learning losses of students during the COVID-19 pandemic. Contemporary Educational Technology, 14(3), ep369. https://doi.org/10.30935/cedtech/11812