This study examined the effectiveness of combining Automated Writing Corrective Feedback (AWCF) and Teacher Written Corrective Feedback (TWCF) in improving students’ writing skills at SMK Bina Karya 2 Karanganyar. A mixed-methods approach was employed using an explanatory sequential design. Quantitative data from pre- and post-writing tests showed a significant improvement in mechanics, grammar, vocabulary, organization, and content of descriptive texts (t(58) = 8.888, p < .001). Qualitative findings from interviews and questionnaires indicated that students engaged with feedback in behavioral, cognitive, and affective dimensions. Low-proficiency students accepted most automated corrections, while advanced learners selectively applied feedback. AWCF was most effective for surface-level errors, while TWCF provided deeper support in content, coherence, and organization. A structured feedback process, where students revised based on automated corrections before receiving teacher guidance, ensured iterative improvement and minimized cognitive overload. The combination of AWCF and TWCF fostered self-regulated learning, reduced writing anxiety, and enhanced overall proficiency. Student perceptions varied; 78% found AWCF helpful for grammar, but only 42% believed it improved overall writing. Teachers noted that TWCF provided clearer explanations, reinforcing deeper learning. The integration of AWCF and TWCF enabled students to develop both linguistic accuracy and higher-order writing skills. These findings underscore the importance of a hybrid feedback model balancing efficiency, personalization, and engagement, ultimately enhancing students' writing proficiency in a structured and effective manner.
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