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AI Chatbot to Improve Students' Vocabulary Mastery Irmawati; Dzakiah; Fatima
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 13 No. 1 (2025): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v13i1.6855

Abstract

Artificial Intelligence (AI) Chatbots are computer programs designed to simulate human conversation and offer interactive, personalized learning experiences. This quantitative study investigated the effectiveness of an AI Chatbot (implemented using the website platform https://www.aichatting.net) in improving students' vocabulary mastery at SMP Negeri 01 Dapurang Pasangkayu, Indonesia. The study employed a quasi-experimental design, comparing an experimental class (8B, n = 25) that utilized the AI Chatbot with a control class (8B, n = 25) that employed a conventional teaching method. The intervention was conducted over six sessions across three weeks, from April 26 to May 19, 2025. Students completed pre-tests and post-tests to assess vocabulary mastery. The experimental class mean score increased from 31.60 to 76.00 (gain = 44.40; Cohen’s d = 4.71), while the control class improved from 32.00 to 46.00 (gain = 14.00; Cohen’s d = 1.43). An independent samples t-test on post-test scores revealed a statistically significant difference between the classes, t (48) = 12.42, p < .0001, with a 95% confidence interval of \ [25.27, 34.73]. These results confirm that the AI chatbot had a substantial impact on vocabulary mastery in practice. While the study supports the potential of AI chatbots as effective vocabulary-learning tools in junior high school settings, it also acknowledges the limitations of the quasi-experimental design and recommends further research using randomized controlled trials.
An Analysis of Code-switching and Code-mixing in Indah G and Andovi Da Lopez’s “Indah G Show on YouTube” Luthfiatunnisa; Dzakiah; Zulfikri
Pubmedia Jurnal Pendidikan Bahasa Inggris Vol. 2 No. 4 (2025): July
Publisher : Indonesian Journal Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47134/jpbi.v2i4.1964

Abstract

This study investigates the forms and functions of code-switching and code-mixing in a bilingual podcast episode of The Indah G Show on YouTube, featuring Indah Gunawan and Andovi Da Lopez. Using a qualitative research design, discourse analysis was applied to examine 132 instances of code-switching and 187 of code-mixing. Poplack’s (1980) and Muysken’s (2000) typologies were used to classify structural forms, while Hoffman’s (1991) framework was employed to identify their communicative functions. The analysis revealed that intra-sentential switching and insertion were the most frequently used types, indicating a high degree of bilingual fluency and integration. The most dominant function was clarifying speech for the listener, followed by discussing specific topics and expressing group identity. These findings demonstrate that language alternation in digital media is both strategic and context-sensitive, allowing bilingual speakers to engage audiences, convey meaning more effectively, and construct fluid linguistic identities. The study offers empirical insights into bilingual language use in online entertainment and contributes to a broader understanding of multilingual practices in digital communication
AI Chatbot to Improve Students' Vocabulary Mastery Irmawati; Dzakiah; Fatima
IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature Vol. 13 No. 1 (2025): IDEAS: Journal on English Language Teaching and Learning, Linguistics and Lite
Publisher : Institut Agama Islam Negeri Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.24256/ideas.v13i1.6855

Abstract

Artificial Intelligence (AI) Chatbots are computer programs designed to simulate human conversation and offer interactive, personalized learning experiences. This quantitative study investigated the effectiveness of an AI Chatbot (implemented using the website platform https://www.aichatting.net) in improving students' vocabulary mastery at SMP Negeri 01 Dapurang Pasangkayu, Indonesia. The study employed a quasi-experimental design, comparing an experimental class (8B, n = 25) that utilized the AI Chatbot with a control class (8B, n = 25) that employed a conventional teaching method. The intervention was conducted over six sessions across three weeks, from April 26 to May 19, 2025. Students completed pre-tests and post-tests to assess vocabulary mastery. The experimental class mean score increased from 31.60 to 76.00 (gain = 44.40; Cohen’s d = 4.71), while the control class improved from 32.00 to 46.00 (gain = 14.00; Cohen’s d = 1.43). An independent samples t-test on post-test scores revealed a statistically significant difference between the classes, t (48) = 12.42, p < .0001, with a 95% confidence interval of \ [25.27, 34.73]. These results confirm that the AI chatbot had a substantial impact on vocabulary mastery in practice. While the study supports the potential of AI chatbots as effective vocabulary-learning tools in junior high school settings, it also acknowledges the limitations of the quasi-experimental design and recommends further research using randomized controlled trials.
The Correlation Between Interpersonal Intelligence and the English-Speaking Ability of Students Pharmacy Department at SMK Yadika Palu Yulianisa; Dzakiah; Kuliahana, Ana
Journal of Cultural Narratives in Digital Society Vol. 1 No. 1 (2025): Cultural Narratives in Digital Society
Publisher : UNESA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/jcnds.v1i1.42516

Abstract

This research aims to determine whether there is a significant correlation between interpersonal intelligence and English language skills of students of the Pharmacy Department of SMK Yadika Palu. The approach used was quantitative with a correlation method, involving a sample of 30 class XI Pharmacy students selected by purposive sampling. The instruments used in this research consisted of a questionnaire to measure students' interpersonal intelligence and a speaking test to assess English speaking ability. The data were analysed through several stages, including the normality test and Pearson Product-Moment correlation test processed using SPSS version 26 for Windows. The results of the normality test showed that the data were normally distributed, and the Pearson correlation test showed a significant and positive correlation between interpersonal intelligence and English-speaking ability, with a correlation coefficient of 0.776 and a significance value of 0.000 (p < 0.05). This correlation is categorised as a high correlation. In addition, 60.3% of the variance in English-speaking ability can be explained by the interpersonal intelligence variable. These findings indicate that the higher the level of interpersonal intelligence possessed by students, the better their English speaking ability.