This study aimed to develop and evaluate the KOLKA (Kolom Kata) application as a digital learning medium for improving SPOK (Subject, Predicate, Object, and Adverbial) sentence construction among deaf students. The study employed a mixed-methods approach with a sequential exploratory design. Six deaf students at SLB BC YPLAB Cibaduyut participated in the study. Qualitative data were collected through observation, interviews, and documentation, while quantitative data were obtained using a one-group pretest-posttest design. Data were analyzed using the Content Validity Ratio (CVR), Aiken’s V, Cronbach’s Alpha, and the Wilcoxon Signed-Rank Test. The results showed very high instrument validity (CVR > 0.99), good reliability (Cronbach’s Alpha = 0.76), and high feasibility of the KOLKA application (Aiken’s V > 0.94). Students’ mean scores increased from 44.16 on the pretest to 85.83 on the posttest, with a significant difference (p = 0.026). The findings indicate that KOLKA provides promising support for visual-based sentence learning among deaf students.
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