Eficacia de las estrategias de aprendizaje generativo en el estudio independiente del inglés utilizando tecnologías móviles

Autores/as

DOI:

https://doi.org/10.46502/issn.1856-7576/2023.17.03.14

Palabras clave:

Concepto, sistema, aprendizaje generativo, estrategia, métodos, eficiencia.

Resumen

El objetivo de la investigación es determinar y evaluar el impacto práctico del concepto educativo de aprendizaje generativo en el estudio independiente del idioma inglés con el desarrollo del sistema educativo más adecuado y eficaz. Se utilizaron los siguientes métodos para lograr el objetivo de la investigación: pruebas EF SET, análisis de correlación, modelos estadísticos y matemáticos de pronóstico. El componente empírico de la investigación y la interpretación analítica de los resultados indican un efecto positivo en la aplicación de métodos generativos de aprendizaje del inglés. Se cuantifica por una dinámica mejorada de aprendizaje de inglés para los estudiantes del grupo experimental (en relación con los indicadores del grupo de control) — 2.915 veces. El rendimiento de la prueba final para el grupo que aprendió utilizando métodos típicos fue del 3,06 %. Los indicadores relevantes para el grupo que recibió conocimientos focales por métodos generativos de aprendizaje fueron 8,92%. Los resultados del estudio indican el impacto práctico del concepto de aprendizaje generativo en la efectividad del aprendizaje del inglés y el potencial significativo para otras aplicaciones. Es recomendable realizar estudios empíricos repetidos en otras instituciones educativas y otros temas educativos teniendo en cuenta los hechos establecidos. Los resultados de esos estudios serán la base para desarrollar un estándar educativo generalizado, que será propuesto por el Ministerio de Educación y Cultura de Ucrania para su integración e implementación en métodos de enseñanza aprobados.

Biografía del autor/a

Olena Konotop, T. H. Shevchenko National University “Chernihiv Colehium”, Chernihiv, Ukraine.

T. H. Shevchenko National University “Chernihiv Colehium”, Chernihiv, Ukraine.

Oksana Bykonia, Academy of the State Penitentiary Service, Chernihiv, Ukraine.

Academy of the State Penitentiary Service, Chernihiv, Ukraine.

Oleksandra Bondar, Borys Grinchenko Kyiv University, Kyiv, Ukraine.

Borys Grinchenko Kyiv University, Kyiv, Ukraine.

Yuliia Shevchenko, Chernihiv Polytechnic National University, Chernihiv, Ukraine.

Chernihiv Polytechnic National University, Chernihiv, Ukraine.

Tetiana Korobeinikova, Alfred Nobel University, Dnipro, Ukraine.

Alfred Nobel University, Dnipro, Ukraine.

Citas

Adroit Market Research. (2023). English Language Learning Market by Application (Teens and Kids, Adults, Business, Education and Tests), By Type (Digital, Through Books, In-person), and Region (North America, Europe, Asia Pacific, Middle East and Africa, and Latin America), Global Forecast 2018 to 2028. Retrieved from https://adroitmarketresearch.com/industry-reports/english-language-learning-market

Anshari, R., & Akmam, A. (2022). Improving the Competence of Junior High School Teachers in Designing Generative Learning-Based Learning Media. Exact Lights, 5(1), 42-48. https://doi.org/10.24036/pelitaeksakta/vol5-iss1/177

Bardone, E., Raudsep, A., & Eradze, M. (2022). From expectations to generative uncertainties in teaching and learning activities. A case study of a high school English Teacher in the times of Covid19. Teaching and Teacher Education, 115, 103723. https://doi.org/10.1016/j.tate.2022.103723

Buchner, J. (2022). Generative learning strategies do not diminish primary students’ attitudes towards augmented reality. Education and Information Technologies, 27(1), 701-717. https://doi.org/10.1007/s10639-021-10445-y

Cambridge English Scale. (2023). Cambridge English Scale Score Converter. Retrieved from https://cambridgeenglish.org/scale-score-converter

Council of Europe. (2023). Common European Framework of Reference for Languages (CEFR). Retrieved from https://coe.int/en/web/common-european-framework-reference-languages

De Angelis, A. (2023). The EF English Proficiency Index as an international large-scale assessment: a critical cultural political economy perspective. Globalisation, Societies and Education, 1-14. https://doi.org/10.1080/14767724.2023.2165477

EF SET. (2023). Our short English quiz. Retrieved from https://efset.org/quick-check

Ethnologue. (2023a). What is the most spoken language? Retrieved from https://ethnologue.com/guides/most-spoken-languages

Ethnologue. (2023b). How many languages are there in the world? Retrieved from https://ethnologue.com/guides/how-many-languages

Global Scale of English. (2023). Retrieved from https://english.com/gsescoreconverter

Gration, Е. (2023). English Language Statistics: How Many People Speak English Worldwide? Preply. Retrieved from https://preply.com/en/blog/english-language-statistics

Hao, M., & Othman, R. (2021). Automation of Function Assignment in the Models of Speech Production and Second Language Acquisition. Education Research International, 2021, 1-9. https://doi.org/10.1155/2021/2441598

HolonIQ. (2023). $196B International Education Market set to reach $433B by 2030 @ 7.4% CAGR. Retrieved from https://holoniq.com/notes/196b-international-education-market-set-to-reach-433b-by-2030

Hulukati, E., Pomalato, S. W. D., Hulukati, W., & Zakiyah, S. (2023). Developing Students' Mathematical Communication Skill in Junior High School with Various Level of Mathematics Achievement through Generative Learning Model. British Journal of Teacher Education and Pedagogy, 2(1), 31-37. https://doi.org/10.32996/bjtep.2023.2.1.5

International Strategic Analysis (ISA). (2023). The Languages of the Future. Retrieved from https://cutt.ly/I3m1Kvh

Mohammed, M. E. H. (2022). The effect of the generative learning strategy on the expressive performance of fourth-grade scientific students. Diyala Journal of Human Research, 4(93). Retrieved from https://iasj.net/iasj/article/250083

Mykhalevych, N. (2021). Most important languages to learn: Discovering the languages that will dominate in 2050. Preply. Retrieved from https://preply.com/en/blog/most-important-languages

Oktaviani, M., Imelwaty, S., & Afriyanti, R. (2021). English Teacher’s Strategies in Delivering Materials Using E-Learning Application Before and Amid Pandemic at Smk N 2 Pariaman. Journal of Tambusai Education, 5(2), 5486-5491. Retrieved from https://jptam.org/index.php/jptam/article/view/1856

Osman, H. M. A. M., & Shahrani, S. M. A. A. A (2022). The Effectiveness of the Generative Model in Learning Synonyms and Antonyms in English Language at Kingdom of Saudi Arabia. Journal of Education College Wasit University, 3(46), 445-464. https://doi.org/10.31185/eduj.Vol3.Iss46.2059

Roelle, J., Froese, L., Krebs, R., Obergassel, N., & Waldeyer, J. (2022). Sequence matters! Retrieval practice before generative learning is more effective than the reverse order. Learning and Instruction, 80, 101634. https://doi.org/10.1016/j.learninstruc.2022.101634

Roelle, J., Schweppe, J., Endres, T., Lachner, A., von Aufschnaiter, C., Renkl, A., … Vorholzer, A. (2022). Combining Retrieval Practice and Generative Learning in Educational Contexts. Journal of Developmental Psychology and Educational Psychology. https://doi.org/10.1026/0049-8637/a000261

Savski, K. (2023). Negotiating hegemonies in language policy: ideological synergies in media recontextualizations of audit culture. Current Issues in Language Planning, 24(1), 1-20. https://doi.org/10.1080/14664208.2021.2006945

Seo, J. Y. (2022). College Students’ Preferences on Principles for the Effective Instructional Video Design for Online General English Classes in Korea. Electronic Journal of e-Learning, 20(3), 313-324. https://doi.org/10.34190/ejel.20.3.2336

Shatz, I., Alexopoulou, T., & Murakami, A. (2023). Examining the potential influence of crosslinguistic lexical similarity on word-choice transfer in L2 English. Plos one, 18(2), e0281137. https://doi.org/10.1371/journal.pone.0281137

Shi-Xu, K. K. P., & Pardo, M. L. (2018). Discourses of the developing world: Researching properties, problems and potentials of the developing world. Abingdon: Routledge. https://doi.org/10.1017/S0047404517000483

Slabakova, R., Leal, T., Dudley, A., & Stack, M. (2020). Generative second language acquisition. Cambridge University Press. https://doi.org/10.1017/9781108762380

Statista Research Department. (2023). The most spoken languages worldwide in 2022. Retrieved from https://statista.com/statistics/266808/the-most-spoken-languages-worldwide

Swanson, H. L., Kong, J. E., Moran, A. S., & Orosco, M. J. (2019). Paraphrasing Interventions and Problem Solving Accuracy: Do Generative Procedures Help English Language Learners with Math Difficulties? Learning Disabilities Research & Practice, 34(2), 68-84. https://doi.org/10.1111/ldrp.12194

TOEFL iBT. (2023). The premier test of academic English communication. Retrieved from https://ets.org/toefl/score-users/ibt/compare-scores.html

TOEIC (R&L) Total Score. (2023). The Common European Framework of Reference for Languages. Retrieved from https://etsglobal.org/us/en/content/common-european-framework-reference-languages

Verified Market Research (VMR). (2023a). English Proficiency Test Market Size and Forecast. Retrieved from https://verifiedmarketresearch.com/product/english-proficiency-test-market

VOSviewer. (2023). Retrieved from https://vosviewer.com

W3Techs. (2023). Historical trends in the usage statistics of content languages for websites. Retrieved from https://w3techs.com/technologies/history_overview/content_language

Wang, C. (2022). English Process Assessment Based on Deep Learning and Cloud Computing. Wireless Communications and Mobile Computing, 2022. https://doi.org/10.1155/2022/2631693

Wang, F. (2021). Analysis of an Online English Teaching Model Application Based on Improved Multiorganizational Particle Population Optimization Algorithm. Computational Intelligence and Neuroscience, 2021. https://doi.org/10.1155/2021/6232987

Yadav, A. (2023). English Language Statistics. Lemongrad. Retrieved from https://lemongrad.com/english-language-statistics

Publicado

2023-07-21

Cómo citar

Konotop, O. ., Bykonia, O. ., Bondar, O. ., Shevchenko, Y. ., & Korobeinikova, T. . (2023). Eficacia de las estrategias de aprendizaje generativo en el estudio independiente del inglés utilizando tecnologías móviles. Revista Eduweb, 17(3), 160–181. https://doi.org/10.46502/issn.1856-7576/2023.17.03.14

Número

Sección

Articles

Artículos similares

También puede {advancedSearchLink} para este artículo.