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Students' Descriptive Writing Ability Improvement through Six Thinking Hats Strategy Dahlia Dahlia; Iskandar Iskandar; Maemuna Muhayyang
ARRUS Journal of Social Sciences and Humanities Vol. 4 No. 3 (2024)
Publisher : PT ARRUS Intelektual Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35877/soshum2510

Abstract

This research aims to find out whether or not the use of the six thinking hats strategy improves the students’ writing ability. It was conducted by using quantitative research with a quasi-experimental research design. Its’ population was the ninth-grade students of SMP Negeri 1 Tinambung randomly taken as the sample consisting of 46 students for both the experiment and control class. The research data were obtained by giving descriptive writing tests in the form of pre-and post-test to see the effect of the six thinking hats strategy on the students’ writing improvement and its results were analyzed using the SPSS program. The data analysis resulted that the six thinking hats strategy significantly improved the writing ability of ninth-grade students proved by the mean score of the students’ pre-test in which the experimental class was 44.96 and the control class was 47.39; the mean score of students’ post-test in which the experimental class was 83.26 and the control class was 62.91; the Sig (2 tailed) value is 0.000 < 0.05 meaning that H0 was rejected and H1 was accepted. These findings conclude that the six thinking hats strategy was able to be used to effectively improve the students’ descriptive writing text.
Students’ Subjective Evaluation: The Relationship between the Implementation of Deep Learning and Improvements in Writing Quality and Motivation Ayunita Wahyuni; Dahlia Dahlia; Inaya Nadita Ramadhani; Anita Candra Dewi
The Future of Education Journal Vol 5 No 2 (2026)
Publisher : Lembaga Penerbitan dan Publikasi Ilmiah Yayasan Pendidikan Tumpuan Bangsa

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61445/tofedu.v5i2.1770

Abstract

This study is motivated by the differences in students’ writing quality despite being in relatively similar learning environments, which are presumed to be related to the implementation of deep learning. The study aims to explore students’ subjective evaluations of deep learning implementation and to analyze its relationship with improvements in writing quality and writing motivation. The research employed a quantitative method with a descriptive approach. Data were collected through a Likert-scale questionnaire distributed to 50 students at Universitas Negeri Makassar using purposive sampling. Data analysis was conducted using percentage index calculations. The results indicate that the implementation of deep learning falls into a very high category (83.1%), characterized by active student engagement, encouragement of critical thinking, and open discussion spaces. This condition shows a positive correlation with improvements in students’ writing quality (81.3%), particularly in the organization of ideas, coherence, and the use of references. In addition, writing motivation also demonstrates a positive trend (78.3%), especially in openness to revision and the ability to overcome writing difficulties, although aspects such as self-confidence and interest in publication remain relatively lower. Thus, deep learning contributes to improving students’ writing quality and motivation; however, these findings are contextual and do not yet indicate a causal relationship.