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All Journal IJoLE: International Journal of Language Education Kepariwisataan: Jurnal Ilmiah
Palupiningsih, Angesti
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Arts Humanities Economics, Econometrics & Finance Education Languange, Linguistic, Communication & Media Library & Information Science Social Sciences

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AUTHENTIC ASSESSMENTS ON STUDENTS’ SPEAKING MOTIVATION IN ENGLISH FOR TOURISM OF AMBARUKMO TOURISM INSTITUTE OF YOGYAKARTA Palupiningsih, Angesti
Kepariwisataan: Jurnal Ilmiah Vol. 12 No. 02 (2018): Kepariwisataan: Jurnal Ilmiah
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat Sekolah Tinggi Pariwisata Ambarrukmo Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47256/kepariwisataan.v12i02.84

Abstract

This research aims at (1) revealing the differences of motivation between the students who are assessed using authentic assessment and those who are not in the English speaking practices and 2) trying out whether or not authentic assessment is more effective than non authentic assessment on the students’ motivation to deal with English speaking practices of Ambarrukmo Tourism Institute. This study was a quasi-experimental study using nonequivalent with one control group and one experimental group design. The data collecting instruments was a questionnaire for students’ motivation measurement. The validity of the instruments was gained using expert judgment and item validity. Bivariate Pearson was employed to check the item validity, whereas the reliability employed Alpha Cronbach. To see the difference in the effect of authentic assessment to the students’ motivation, the data were analyzed using the t-test at the significance level of 5%. The results are as follows. (1) There is a different effect of the authentic assessments on the students’ motivation. (2) Authentic assessment is more effective than non authentic assessment at improving the students’ motivation to deal with English speaking practices of Ambarrukmo Tourism Institute. Keywords: authentic assessments, students’ motivation, english speaking practices
The Use of Prompt Engineering in ChatGPT to Improve the Ability to Write Ethnoliteracy-Based Fiction Stories in Elementary Schools: A Quasi-Experimental Study Fauzi, Muhammad Rizal; Nurani, Riga Zahara; Ruqoyyah, Siti; Muftianti, Agni; Palupiningsih, Angesti
International Journal of Language Education Vol. 9, No. 4, 2025
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26858/ijole.v1i2.82102

Abstract

This study aims to improve the ability to write ethnoliteracy-based fiction stories through the use of GPT chat engineering prompts in 5th grade elementary school students. This study employed a quasi-experimental nonequivalent control group design involving 50 students, divided into an experimental and a control group. The experimental group participated in fiction writing learning using ChatGPT with structured prompting tasks that highlight folklore and local cultural values, while the control group participated in conventional learning. The research instrument was a pre- and post-treatment ethnoliteracy-based fiction story writing test, with assessments that included indicators of writing fiction stories and the integration of local cultural elements. The results showed a statistically significant increase in the experimental group, especially in the ability to insert cultural values meaningfully in the story, this is because there are implications through the process of learning to write ethnoliteracy-based fiction stories that students are stimulated through chatGPT prompting learning. These findings indicate that prompt engineering with the help of ChatGPT can be an effective pedagogical strategy and have an impact on students' culturally responsive and creative writing learning at the elementary school level, thus making students more creative in utilizing the capabilities of GPT chat prompt engineering as a stimulation to brainstorm new ideas in honing and developing their ability to write fiction stories optimally.
Co-Authors Fauzi, Muhammad Rizal Muftianti, Agni Nurani, Riga Zahara Ruqoyyah, Siti