Self-Regulated Learning Predicting Scientific Literacy Amid Low Information Literacy CHEM-SSI
- Dewi Satria Ahmar — Department of Chemistry Education, Universitas Tadulako, Indonesia, Indonesia
- Muhammad Fath Azzajjad — 2Department of Chemistry Education, Faculty of Teacher Training and Education, Universitas Sembilanbelas November Kolaka, Indonesia
- Muharram — Department of Chemistry, Faculty of Mathematics and Natural Sciences, Makassar State University, Indonesia
- Ruslin Hadanu — Department of Chemistry Education, Faculty of Teacher Training and Education, Universitas sembilanbelas November Kolaka, Indonesia
- Publication History
- Published online: October 9, 2026
- Copyright
- Copyright (c) 2026 Dewi Satria Ahmar, Muhammad Fath Azzajjad, Muharram, Ruslin Hadanu
- User License
- https://creativecommons.org/licenses/by-nc/4.0
Abstract
This study examined information literacy profiles among secondary school students and investigated whether self-regulated learning (SRL) predicted scientific literacy among students with very low information literacy. It also evaluated scientific literacy outcomes after socioscientific chemistry learning supported by an E-Bulletin on atomic structure. A sequential explanatory correlational design with an embedded intervention component was employed. A total of 131 students from six secondary schools completed an Information Literacy Questionnaire. Of these, 28 students classified as having very low information literacy completed a Self-Regulated Learning Scale and a Three-Tier Scientific Literacy Test after the E-Bulletin-based socioscientific chemistry intervention. Data were analysed using descriptive statistics, Pearson correlation, multiple regression, and effect size analysis. Information literacy was predominantly moderate, while 21.37% of students were categorised as very low. This subgroup demonstrated moderate SRL and high scientific literacy after the intervention. SRL was strongly associated with scientific literacy (r = .742, p < .001), with self-evaluation emerging as the strongest predictor (? = .334, p = .004). Large to very large effect sizes were observed. These findings indicate that SRL significantly predicts scientific literacy and that socioscientific E-Bulletin chemistry learning can support students with limited information literacy.
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