THE EFFECT OF DISCUSSION METHOD ON STUDENTS' ANGLISH LANGUAGE ABILITY WITH DIFFERENT LEARNING STYLE AT SD AL FAUZI MEDAN IN 2021/2022 ACADEMIC YEAR

Abstract

This study aims to determine the effect of the discussion method on students' English language ability with different learning styles referring to the STIFIn theory in the second grade of SD Al Fauzi Medan in the 2021/2022 academic year. The population in this study were all the second grade students of SD Al Fauzi Medan and the samples taken were 61 people. This research method is a mixed-method research. The data collection instruments used were tests, observations and interviews. The test was done by giving a pre-test before the treatment and the post-test is given after the treatment. Research using tests was conducted to determine the significant difference between pre-test and post-test scores. Then observations and interviews were conducted to determine the attitudes, responses and responsibilities of students. The data collected were analyzed by t-test. The results of this study indicate that there is an increase in students' English language ability with the discussion method. The researcher found that the result of the t-score formula was 7.99. The value of degrees of freedom (Df) is 59. The researcher concludes from the hypothesis that the t-score is greater than the t-table, namely 7.99 > 2.39. At a significance of 1% (0.01). In other words, it clearly shows that the use of the discussion method is proven to be effective. Therefore, it can be said that the discussion method has a significant influence on students' English language ability in recognizing English vocabulary. Then on the qualitative data from the observation of students' attitudes, responses and responsibilities based on the five machinesintelligence and the results of interviews, it was concluded that the highest percentage of attitudes was found in the feeliing machineintelligence with a score of 4 which means very good, the highest percentage of responses was in the feeliing machineintelligence with a score of 4 which means very good and the result of the highest percentage of responsibility from all machines intelligence is on the sensing machineintelligence with a score of 4 which means very good.