Metacognitive Calibration Deficits and Formative Assessment Uptake in Secondary-Level STEM Classrooms: An Empirical Analysis Across Socioeconomically Stratified Schools in Urban South Korea

Authors

  • Casey Garcia Professor
  • Nico Collins Associate Professor
  • Ashley Moore PhD
  • Dana Taylor D.Sc

Keywords:

metacognitive calibration, formative assessment feedback uptake, STEM secondary education, assessment literacy, socioeconomic stratification, multilevel regression modelling, instructional scaffolding, overconfidence bias in learning, mixed-methods educational research

Abstract

This study empirically examines the relationship between metacognitive calibration accuracy and the effective uptake of formative assessment feedback among secondary-level STEM learners in socioeconomically stratified urban schools in South Korea. Employing a mixed-methods design across 14 schools (n = 1,247 students, Grades 9–11), the research integrates the Metacognitive Awareness Inventory (MAI), classroom observation protocols, and multilevel regression modelling to identify calibration deficit patterns that systematically undermine feedback integration. Findings indicate that learners exhibiting overconfidence-based miscalibration demonstrate significantly lower formative feedback uptake (β = −0.41, p < .001), an effect amplified in low-SES school cohorts. Teacher assessment literacy emerged as a robust moderating variable. The study concludes with actionable pedagogical recommendations for calibration-targeted instructional scaffolding within differentiated STEM curricula.

Author Biographies

Casey Garcia, Professor

Professor
Seoul National University
1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea

Nico Collins, Associate Professor

Associate Professor
The University of Melbourne
Grattan Street, Parkville, Victoria 3010, Australia

Ashley Moore, PhD

PhD
Humboldt-Universität zu Berlin
Unter den Linden 6, 10099 Berlin, Germany

Dana Taylor, D.Sc

D.Sc
University of Toronto
27 King's College Circle, Toronto, Ontario M5S 1A1, Canada

References

Kamenov, H. (2025). Application of Artificial Intelligence in Teaching Bulgarian Literature. Jurnal Arbitrer, 12(4), 496-511.

Каменов, Х. (2025). Education as an instrument of ideology: the teaching of history in Bulgarian schools during socialism (1944-1989) and nowadays. Педагогічні науки, (86), 36-48.

Published

2025-12-30

Issue

Section

Articles