Article Per Year (5 Year)
p-Index From 2021 - 2026
2.248
P-Index
This Author published in this journals
All Journal Jurnal Pendidikan Indonesia MAGISTRA Kajian Linguistik dan Sastra International Journal of Humanity Studies (IJHS) Eralingua : Jurnal Pendidikan Bahasa Asing dan Sastra Pendas : Jurnah Ilmiah Pendidikan Dasar Jurnal Review Pendidikan dan Pengajaran (JRPP) Didaktik : Jurnal Ilmiah PGSD STKIP Subang Metafora: Jurnal Pembelajaran Bahasa Dan Sastra Edukasiana: Jurnal Inovasi Pendidikan Prosiding University Research Colloquium Widyaparwa Widya Dharma Journal of Business Widya Didaktika: Jurnal Ilmiah Kependidikan Walada: Journal of Primary Education
Dwi Bambang Putut Setiyadi
Universitas Widya Dharma Klaten
Arts Humanities Computer Science & IT Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Mathematics Medicine & Pharmacology Social Sciences Other

Published : 21 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 21 Documents
Search

 1   2   3 
Enhancing EFL Students’ Poetry Comprehension through AI-Assisted Learning: A Mixed-Methods Study Using HyperWrite Sukini, Sukini; Setiyadi, Dwi Bambang Putut; Herawati, Nanik
Eralingua: Jurnal Pendidikan Bahasa Asing dan Sastra VOL 10, NO 1 (2026): ERALINGUA
Publisher : Makassar State University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/eralingua.v10i1.81470

Abstract

The conventional, text-based literary learning model that does not utilize digital technology has an impact on students' lack of ability to understand the meaning of poetry. It is urgent to analyse technology-based learning innovations that can improve student understanding, motivation, and engagement. Therefore, the purpose of this study is to evaluate the effectiveness of HyperWrite Technology as a teaching aid in improving students' ability to understand the meaning of poetry in Indonesian language learning. The research approach uses a mixed method sequential explanation design. The number of respondents in this study was 170 students, with a sampling technique using purposive sampling. Data collection techniques in this study used pre-test and post-test, observation interviews, and documentation. Data analysis techniques used statistics for paired sample t-tests, effect sizes, correlations, and regressions, while qualitative data were analysed thematically. The results of the study showed a significant increase in poetry comprehension ability, with an average of 59.40 (pre-test) to 82.15 (post-test), t value = 18.462, p < 0.05 and an effect size of 0.81. These findings indicate that HyperWrite's automatic feature analysis provides a dominant contribution in improving students' understanding of the meaning of poetry. In conclusion, HyperWrite technology is effective in enhancing literary understanding, particularly in interpreting poetry interactively and constructively in the future. The global implication is that HyperWrite-based literature learning makes it easier for students to interpret the meaning of poetry
Co-Authors Agus Yuliantoro Agus Yuliantoro Anis Marjukah Arif Julianto Sri Nugroho, Arif Julianto Sri Basuki . Dwi Ema Wati Esti Ismawati Esti Rahmawati, Esti Gunawan Budi Santoso H Hersulastuti Hartanti, Sri Hersulastuti Hersulastuti hersulastuti hersulastuti Hersulastuti, H Hersulastuti, Hersulastuti Imam Santosa Iswan Riyadi Iswan Riyadi Lestari , Wahyuningsih Nanik Herawati nanik herawati Nisaa, Shofiyatun Puji Wahyu Harjanti Retno Wulandari Sri Budiyono Sri Suwartini Sugianto Sugianto Sukasih Ratna Widayanti Sukini, Sukini Suranto, Much Triyono Triyono Triyono Triyono Wisnu Nugroho Aji Yohanes Anando Aryo Andoyo