數據本位教學融入學習扶助國語文課程之教學實務分享

The Practical Application of Data-Based Instruction (DBI) in Integrating Remedial Language Courses in Elementary School

本文旨在分享數據本位教學（Data-Based Instruction，簡稱DBI）於國小學習扶助課程中的應用實務，聚焦於提升語文低成就學生的學習成效。以一名五年級學生為案例，探討DBI歷程的實施方式，並分析其在提升學生閱讀理解能力及教師專業成長方面的效果。DBI透過系統化評量與教學調整機制，協助教師動態回應學生個別化學習需求，增進學習成效。本文進一步檢視初任教師在實施DBI過程中的教學調整及專業發展，並藉由分析數據與教學回饋，探討DBI在實務應用上的可行性及效益。結果顯示，DBI不僅能有效支持低成就學生的學習需求，亦為初任教師提供教學經驗累積的契機，具有教育實務意涵。

This article aims to share the practical application of Data-Based Instruction (DBI) in remedial instruction for elementary school students, specifically focusing on improving the learning outcomes of low-achieving students in language subjects. Using a case study of a fifth-grade student, it explores the implementation of the DBI process and analyzes its effectiveness in enhancing reading comprehension abilities and fostering professional growth among novice teachers. DBI utilizes systematic assessments and instructional adjustments to dynamically respond to students' individualized learning needs and improve academic performance. The article further examines the instructional adjustments and professional development of novice teachers during the DBI implementation process and evaluates the feasibility and benefits of DBI through data analysis and instructional feedback. The results reveal that DBI not only effectively supports the learning needs of low-achieving students, but also provides opportunities for novice teachers to accumulate teaching experience, offering significant implications for educational practice.