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Elementary students’ writing difficulties in Makassar: Patterns, challenges, and learning implications Tasrif Akib; Burhan Burhan; Arisa Darwis; Agung Rinaldy Malik; Zaqueu António Freitas
EduStream: Jurnal Pendidikan Dasar Vol 10 No 1 (2026): EduStream: Jurnal Pendidikan Dasar
Publisher : Universitas Negeri Surabaya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26740/eds.v10n1.p194-211

Abstract

This study investigates elementary students’ writing difficulties in Makassar, Indonesia, using a convergent mixed-methods design. It responds to the need for contextually grounded evidence that not only maps students’ writing performance across analytic dimensions but also explains the classroom conditions shaping those patterns. Quantitative data were collected from 170 upper-elementary students through a classroom-based writing test assessed with an analytic rubric covering content development, organization, vocabulary use, sentence construction, and mechanics. Qualitative data were obtained through classroom observations and semi-structured interviews with 15 teachers. The findings revealed that students’ overall writing performance was moderate, with a total mean score of 66.00 (SD = 9.84). Most students were in the moderate category (60.0%), followed by the low category (22.9%) and the high category (17.1%). Dimensionally, students performed better in mechanics/spelling (M = 14.63, SD = 2.87) and vocabulary use (M = 14.11, SD = 2.94), while content development (M = 12.48, SD = 3.21) and sentence construction (M = 11.76, SD = 3.35) remained the most fragile areas. Writing performance also showed gradual improvement across grade levels. Qualitative findings identified four interrelated challenges: limited idea development, weak sentence construction and grammatical control, restricted opportunities for meaningful writing practice, and product-oriented assessment with limited feedback scaffolding. These findings indicate that students’ writing difficulties are shaped by both learner-level limitations and classroom instructional conditions. The study suggests the need for process-based writing pedagogy that strengthens idea elaboration, sentence-level support, sustained writing practice, and revision-oriented feedback.
Developing an IoT-Based Smart Soil Analyzer to Support Sustainable Agriculture and Contextual STEM Learning in Organic Chemistry Yulia Dewi Puspitasari; Matsun Matsun; Hendrik Pratama; Wahyu Saputra; Tri Wahyuni Maduretno; Muhammad Shohibul Ihsan; Zaqueu António Freitas
AMPLITUDO : Journal of Science and Technology Innovation Vol. 5 No. 2 (2026): August
Publisher : Balai Publikasi Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.56566/amplitudo.v5i2.550

Abstract

Organic chemistry is often taught in abstract concepts, especially on topics related to soil organic matter, nutrient transformation, and the nitrogen cycle. This study aims to develop and validate an IoT-supported Smart Soil Analysis to support contextual STEM-based learning in organic chemistry. This research uses a Research and Development approach with a 4D model, limited to the defining, designing, and developing stages. The prototype was revised based on feedback from six subject matter experts, six media experts, and six evaluation experts prior to limited testing. Validity was measured using the Content Validity Index (CVI), resulting in average CVI scores of 0.88 (content), 0.91 (media), and 0.90 (evaluation), indicating high validity. A limited trial involving nine science education students showed an overall practicality score of 3.6 out of 4.0. This device integrates real-time measurements of soil pH, nitrogen (N), phosphorus (P), potassium (K), and electrical conductivity, allowing students to analyze organic matter decomposition, nutrient availability, and fertilization recommendations within a project-based STEM framework. The research results show that the Smart Soil Analyzer is a valid and practical learning medium that effectively connects organic chemistry concepts with real-world agricultural contexts.