The pedagogical effectiveness of the programmed learning of English tenses: A pedagogical experiment
View Abstract View PDF Download PDF

Keywords

Training algorithm, Academic groups, English tenses, Lexical skills, Procedure, Programmed learning, Statistical method, Time measures.

How to Cite

Saurbayev, R. Z. ., Yerekhanova, F. T. ., Tekzhanov, K. M. ., Omarov, N. R., & Jaksimova, U. J. (2024). The pedagogical effectiveness of the programmed learning of English tenses: A pedagogical experiment. International Journal of English Language and Literature Studies, 13(4), 512–530. https://doi.org/10.55493/5019.v13i4.5198

Abstract

The current study aims to investigate the effectiveness of a programmed approach to teaching English verb tenses. This approach is essential for enhancing grammar instruction in the classroom. A total of 23 first-year students from Toraighyrov University participated in both studies. Before the experiments, the participants were divided into two groups. During the first stage of the experiment (2021–2022), both groups started with a similar level of English proficiency assessed through admission exams. There was a noticeable difference in the initial proficiency between the two groups during the second stage (2022–2023). After completing the learning process, the participants underwent a post-assessment to measure their progress in using tense forms. In a second experiment, the order of events was reversed. In this study, the criterion measures method, statistical method, statistical analysis of the test, and data collection and analysis were employed. Based on the preliminary findings, students experienced enhanced learning and engagement when studying English grammar using programmed learning methods compared to traditional approaches. It was concluded that programmed learning helps students to memorize and comprehend grammar concepts more efficiently through structured progression and immediate feedback, indicating that it is a viable approach to teaching grammar.

https://doi.org/10.55493/5019.v13i4.5198
View Abstract View PDF Download PDF

Downloads

Download data is not yet available.