Abstract
The paper analyzes the teaching experiment regarding the use of mobile apps in the assessment of student learning. The study involved survey and self-description methods offered to students and instructors to assess the effectiveness of using mobile apps in learning. The study was conducted among 320 s-year students of the I.M. Sechenov First Moscow State Medical University and 8 instructors between September 1 and December 28, 2021, during the academic semester. Socrative and Plickers apps have been found to contribute to: better learning (φ* = 8.94, p ≤ 0.01); developing cognitive motivation among students resulting from diverse learning resources used with apps (φ* = 7.6, p ≤ 0.01); convenience of learning activities because students can work with the app both in the classroom and at home (φ* = 13.66, p ≤ 0.01); improved digital competence (φ* = 2.4, p ≤ 0.05). The research findings can be used by instructors in universities and secondary schools. Since didactic opportunities offered by mobile apps are quite significant, and considering other positive results of their use, this technology may be considered as an important tool for training young people and strengthening their cognitive motivation.
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References
Alt, D., & Raichel, N. (2020). Enhancing perceived digital literacy skills and creative self-concept through gamified learning environments: Insights from a longitudinal study. International Journal of Educational Research, 101, 101561. https://doi.org/10.1016/j.ijer.2020.101561
Arici, F., Yildirim, P., Caliklar, Ş, & Yilmaz, R. M. (2019). Research trends in the use of augmented reality in science education: Content and bibliometric mapping analysis. Computers & Education, 142, 103647. https://doi.org/10.1016/j.compedu.2019.103647
Arrosagaray, M., González-Peiteado, M., Pino-Juste, M., & Rodríguez-López, B. (2019). A comparative study of Spanish adult students’ attitudes to ICT in classroom, blended and distance language learning modes. Computers & Education, 134, 31–40. https://doi.org/10.1016/j.compedu.2019.01.016
Audrin, C., & Audrin, B. (2022). Key factors in digital literacy in learning and education: A systematic literature review using text mining. Education and Information Technologies, 7, 7395–7419. https://doi.org/10.1007/s10639-021-10832-5
Baguma, A., Khan, M. S. H., & Che Kum, C. (2018). Integration of web-based learning into higher education institutions in Uganda: Teachers’ perspectives. International Journal of Web-Based Learning and Teaching Technologies, 13(3), 33–50. https://doi.org/10.4018/IJWLTT.2018070103
Bergdahl, N., Nouri, J., & Fors, U. (2020). Disengagement, engagement and digital skills in technology-enhanced learning. Education and Information Technologies, 25(2), 957–983. https://doi.org/10.1007/s10639-019-09998-w
Bile, A. (2022). Development of intellectual and scientific abilities through game-programming in Minecraft. Education and Information Technologies, 27, 7241–7256. https://doi.org/10.1007/s10639-022-10894-z
Blau, I., & Shamir-Inbal, T. (2017). Digital competences and long-term ICT integration in school culture: The perspective of elementary school leaders. Education and Information Technologies, 22(3), 769–787. https://doi.org/10.1007/s10639-015-9456-7
Blayone, T. J. B., Mykhailenko, O., van Oostveen, R., & Barber, W. (2018). Ready for digital learning? A mixed-methods exploration of surveyed technology competencies and authentic performance activity. Education and Information Technologies, 23(3), 1377–1402. https://doi.org/10.1007/s10639-017-9662-6
Bobkov, V. V., Titushina, N. V., Novikova, V. A., & Zhukareva, G. M. (2021). Evaluating the effectiveness of using mobile apps for online learning. Bulletin of P. F. Lesgaft University, 3(193), 44–47.
Cabello-Hutt, T., Cabello, P., & Claro, M. (2018). Online opportunities and risks for children and adolescents: The role of digital skills, age, gender and parental mediation in Brazil. New Media & Society, 20(7), 2411–2431. https://doi.org/10.1177/1461444817724168
Chien, C. W. (2021). Electronic notes as a tool in emergent researchers’ communities of practice. Technology, Pedagogy and Education, 30(3), 365–379. https://doi.org/10.1080/1475939X.2021.1878053
Chou, C. M., Shen, C. H., Hsiao, H. C., & Shen, T. C. (2019). Factors influencing teachers’ innovative teaching behaviour with information and communication technology (ICT): The mediator role of organisational innovation climate. Educational Psychology, 39(1), 65–85. https://doi.org/10.1080/01443410.2018.1520201
Cladis, A. E. (2020). A shifting paradigm: An evaluation of the pervasive effects of digital technologies on language expression, creativity, critical thinking, political discourse, and interactive processes of human communications. E-Learning and Digital Media, 17(5), 341–364. https://doi.org/10.1177/2042753017752583
Cole, D., Rengasamy, E., Batchelor, S., Pope, C., Riley, S., & Cunningham, A. M. (2017). Using social media to support small group learning. BMC Medical Education, 17(1), 201. https://doi.org/10.1186/s12909-017-1060-7
Cubeles, A., & Riu, D. (2018). The effective integration of ICTs in universities: The role of knowledge and academic experience of professors. Technology, Pedagogy and Education, 27(3), 339–349. https://doi.org/10.1080/1475939X.2018.1457978
Danilina, E. K., & Seregina, E. A. (2017). Integration of mobile apps for monitoring and evaluating learning activities in the flipped classroom model. ANI: Pedagogy and Psychology, 6(118), 62–65.
de Mesa, J. C., & Jacinto, L. G. (2020). Facebook groups as social intervention tools for improving digital skills. Social Work Education, 39(1), 71–84. https://doi.org/10.1080/02615479.2019.1642867
Dennen, V. P., Choi, H., & Word, K. (2020). Social media, teenagers, and the school context: A scoping review of research in education and related fields. Educational Technology Research and Development, 68(4), 1635–1658. https://doi.org/10.1007/s11423-020-09796-z
Durak, H. Y., & Seferoğlu, S. S. (2020). Antecedents of social media usage status: Examination of Predictiveness of digital literacy, academic performance, and fear of missing out variables. Social Science Quarterly, 101(3), 1056–1074. https://doi.org/10.1111/ssqu.12790
Eynon, R. (2021). Becoming digitally literate: Reinstating an educational lens to digital skills policies for adults. British Educational Research Journal, 47(1), 146–162. https://doi.org/10.1002/berj.3686
Gil-Flores, J., Rodríguez-Santero, J., & Torres-Gordillo, J. J. (2017). Factors that explain the use of ICT in secondary-education classrooms: The role of teacher characteristics and school infrastructure. Computers in Human Behavior, 68, 441–449. https://doi.org/10.1016/j.chb.2016.11.057
Guillén-Gámez, F. D., & Marta Ramos, M. (2021). Competency profile on the use of ICT resources by Spanish music teachers: Descriptive and inferential analyses with logistic regression to detect significant predictors. Technology, Pedagogy and Education, 30(4), 511–523. https://doi.org/10.1080/1475939X.2021.1927164
Henderson, J., & Corry, M. (2021). Teacher anxiety and technology change: A review of the literature. Technology, Pedagogy and Education, 30(4), 573–587. https://doi.org/10.1080/1475939X.2021.1931426
Hossain, S. F. A., Nurunnabi, M., & Hussain, K. (2021). Continuous mobile devices usage tendency in the TPACK-based classroom and academic performance of university students. Technology, Pedagogy and Education, 30(4), 589–607. https://doi.org/10.1080/1475939X.2021.1933160
Khalid, M. S., & Pedersen, M. J. L. (2016). Digital exclusion in higher education contexts: A systematic literature review. Procedia-Social and Behavioral Sciences, 228, 614–621. https://doi.org/10.1016/j.sbspro.2016.07.094
Khan, M. S. H., & Markauskaite, L. (2017). Approaches to ICT-enhanced teaching in technical and vocational education: A phenomenographic perspective. Higher Education, 73(5), 691–707. https://doi.org/10.1007/s10734-016-9990-2
Kiili, C., Bråten, I., Strømsø, H. I., Hagerman, M. S., Räikkönen, E., & Jyrkiäinen, A. (2022). Adolescents’ credibility justifications when evaluating online texts. Education and Information Technologies, 27, 7421–7450. https://doi.org/10.1007/s10639-022-10907-x
Pedro, L. F. M. G., Barbosa, C. M. M. D. O., & Santos, C. M. D. N. (2018). A critical review of mobile learning integration in formal educational contexts. International Journal of Educational Technology in Higher Education, 15(1), 10. https://doi.org/10.1186/s41239-018-0091-4
Prestridge, S. (2017). Examining the shaping of teachers’ pedagogical orientation for the use of technology. Technology, Pedagogy and Education, 26(4), 367–381. https://doi.org/10.1080/1475939X.2016.1258369
Redjep, N., Balaban, I., & Zugec, B. (2021). Assessing digital maturity of schools: Framework and instrument. Technology, Pedagogy and Education, 30(5), 643–658. https://doi.org/10.1080/1475939X.2021.1944291
Sargent, J., & Lynch, S. (2021). ‘None of my other teachers know my face/emotions/thoughts’: Digital technology and democratic assessment practices in higher education physical education. Technology, Pedagogy and Education, 30(5), 693–705. https://doi.org/10.1080/1475939X.2021.1942972
Seghayer, A. K. (2020). Investigating the adequacy of EFL Learners’ L2 digital literacy skills, consistency of self-assessed competence, and actual performance. International Journal of Computer-Assisted Language Learning and Teaching, 10(2), 1–22. https://doi.org/10.4018/IJCALLT.2020040101
Sullivan, K., Bray, A., & Tangney, B. (2021). Developing twenty-first-century skills in out-of-school education: The Bridge21 Transition Year programme. Technology, Pedagogy and Education, 30(4), 525–541. https://doi.org/10.1080/1475939X.2020.1835709
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Lebedeva, M., Taranova, M. & Beketov, V. Assessment of academic achievements in m-learning. Educ Inf Technol 28, 5945–5965 (2023). https://doi.org/10.1007/s10639-022-11423-8
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DOI: https://doi.org/10.1007/s10639-022-11423-8