Individualizing goal-setting interventions using automated writing evaluation to support secondary school students’ text revisions

Empirische Arbeit: Comparing Generative AI and Expert Feedback to Students’ Writing: Insights from Student Teachers

“…This pattern of findings highlights the need for future research to understand better the contexts and circumstances in which the quality of LLM-generated feedback is sufficient to improve student learning. More research is also needed to consider student outcomes in addition to student teacher and expert rater perceptions (e. g., improvements of text quality during revision with the feedback, Meyer et al, 2024).…”

“…While the approach has been shown to imitate teacher judgments accurately (Horbach et al, 2022;Zhai et al, 2021) and be a suitable foun-dation for feedback systems (Fleckenstein, Liebenow & Meyer, 2023;Jansen, Meyer, Fleckenstein, Horbach, Keller & Möller, 2024), the extensive requirement of training data elevates costs and restricts teachers' flexibility in using automated feedback in the classroom. Additionally, AWE systems match pre-defined feedback sets with texts rather than generating individualized feedback contextually, which can limit their relevance and effectiveness in varying educational scenarios.…”

Implementasi Evaluasi Pembelajaran Berbasis Student Led Conference (Slc) Di Sekolah Dasar

“…Students Led Conference (SLC) merupakan instrumen komunikasi evaluatif dalam mengukur capaian target proses pembelajaran (Jansen et al, 2024;Vargas-Madriz & Nocente, 2023). Dalam pengimplementasiannya, siswa mengambil peran besar untuk menunjukkan sikap tanggung jawab terhadap diri sendiri dan proses mengenali pribadi diri mereka secara lebih baik melalui target pribadi yang telah ditentukan di awal tahun ajaran.…”