Deep Learning with Dayak Onion–Ginger Ethnochemistry: Changes in Environmental Awareness and Green Chemistry Understanding in Two Intact Classes
DOI:
https://doi.org/10.33394/j-ps.v14i4.22776Keywords:
Deep learning, Ethnochemistry, Green chemistry, Environmental awareness, Dayak onion, GingerAbstract
Green chemistry is often taught in abstract terms, and locally relevant contexts may help students connect its principles to everyday practice. This preliminary study describes learning outcomes after Deep Learning lessons built around a Dayak onion (Eleutherine palmifolia) and ginger (Zingiber officinale) infusion. Two intact tenth-grade classes at SMAN 1 Sampit, Central Kalimantan, took part (36 students each, N = 72) in a pretest–posttest design with non-equivalent groups. One class received the Deep Learning lessons and the other received conventional instruction. Environmental awareness was operationalised as ecological worldview and measured with a locally adapted New Ecological Paradigm (NEP) questionnaire (maximum 75). Understanding of green chemistry was measured with a 20-item two-tier test (maximum 20). Mean awareness rose from 48.83 to 64.56 in the experimental class and from 49.28 to 54.00 in the control class; mean concept scores rose from 5.75 to 14.33 and from 5.67 to 9.17. Averaged over students, N-Gain was 0.59 versus 0.19 for awareness and 0.62 versus 0.27 for understanding. The findings are descriptive and exploratory, and no inferential test was applied.
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