Technology-assisted instruction with teacher prompts on fraction multiplication word problems: A single-case design with visual analysis and Bayesian multilevel modeling

被引:0
|
作者
Shin, Mikyung [1 ]
Park, Jiyeon [2 ]
机构
[1] Illinois State Univ, Dept Special Educ, 250 S Univ St, Garmo 539, Normal, IL 61761 USA
[2] Eastern Kentucky Univ, Dept Teaching Learning & Educ Leadership, Richmond, KY USA
关键词
fractions; learning disabilities; teacher prompts; technology-assisted instruction; word problems; STUDENTS;
D O I
10.1080/10400435.2024.2415366
中图分类号
R49 [康复医学];
学科分类号
100215 ;
摘要
This study examines the effects of technology-assisted instruction with teacher prompts on the ability to visualize and solve fraction multiplication word problems for four middle school students with learning disabilities. A multiple-probe design across participants, a type of single-case design, showed a functional relationship between the intervention and the targeted mathematical outcomes. Although there were some fluctuations over time, students demonstrated improvements from the baseline to intervention phases (Tau ranged from 0.76 to 1.00 for visualization and was 1.00 for problem-solving). Researchers employed Bayesian cumulative link mixed effects models to examine the moderating effects of word problem question types. Students showed greater maintenance effects on problem-solving than on visualization tasks, as reflected in changes in level (logit coefficient = 2.6) and trend (logit coefficient = 0.22). Students and teachers perceived vocabulary and multiplication fact practices, as well as the cognitive and metacognitive features embedded in the technology-assisted intervention, to be useful in learning targeted mathematics concepts. This study underscores the role of technology integration in enhancing teachers' instructional approach and in aiding students' acquisition and retention of mathematical concepts and skills.
引用
收藏
页数:11
相关论文
共 7 条
  • [1] Meta-Analysis of Single-Case Design Research: Application of Multilevel Modeling
    Shin, Mikyung
    Hart, Stephanie L.
    Simmons, Michelle
    SCHOOL PSYCHOLOGY, 2024,
  • [2] Meta-Analysis of Single-Case Experimental Design using Multilevel Modeling
    Baek, Eunkyeng
    Luo, Wen
    Lam, Kwok Hap
    BEHAVIOR MODIFICATION, 2023, 47 (06) : 1546 - 1573
  • [3] Modeling multiple dependent variables in meta-analysis of single-case experimental design using multilevel modeling
    Eunkyeng Baek
    Wen Luo
    Behavior Research Methods, 2023, 55 : 3760 - 3771
  • [4] Modeling multiple dependent variables in meta-analysis of single-case experimental design using multilevel modeling
    Baek, Eunkyeng
    Luo, Wen
    BEHAVIOR RESEARCH METHODS, 2023, 55 (07) : 3760 - 3771
  • [5] Estimation and statistical inferences of variance components in the analysis of single-case experimental design using multilevel modeling
    Haoran Li
    Wen Luo
    Eunkyeng Baek
    Christopher G. Thompson
    Kwok Hap Lam
    Behavior Research Methods, 2022, 54 : 1559 - 1579
  • [6] Estimation and statistical inferences of variance components in the analysis of single-case experimental design using multilevel modeling
    Li, Haoran
    Luo, Wen
    Baek, Eunkyeng
    Thompson, Christopher G.
    Lam, Kwok Hap
    BEHAVIOR RESEARCH METHODS, 2022, 54 (04) : 1559 - 1579
  • [7] Issues and solutions in meta-analysis of single-case design with multiple dependent variables using multilevel modeling
    Baek, Eunkyeng
    Luo, Wen
    Henri, Maria
    JOURNAL OF EXPERIMENTAL EDUCATION, 2022, 90 (04): : 934 - 961