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The Active Ingredient in Reading Comprehension Strategy Intervention for Struggling Readers: A Bayesian Network Meta-Analysis
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Peng Peng; Wei Wang; Marissa J. Filderman; Wenxiu Zhang; Lifeng Lin – Review of Educational Research, 2024
Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly…
Descriptors: Reading Comprehension, Reading Strategies, Reading Difficulties, Reading Instruction
The Active Ingredient in Reading Comprehension Strategy Intervention for Struggling Readers: A Bayesian Network Meta-Analysis
Peer reviewed Peer reviewed
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Peng Peng; Wei Wang; Marissa J. Filderman; Wenxiu Zhang; Lifeng Lin – Grantee Submission, 2023
Based on 52 studies with samples mostly from English-speaking countries, the current study used Bayesian network meta-analysis to investigate the intervention effectiveness of different reading comprehension strategy combinations on reading comprehension among students with reading difficulties in 3rd through 12th grade. We focused on commonly…
Descriptors: Reading Comprehension, Reading Strategies, Reading Difficulties, Reading Instruction
The Curious Case of Centrality Measures: A Large-Scale Empirical Investigation
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Saqr, Mohammed; López-Pernas, Sonsoles – Journal of Learning Analytics, 2022
There has been extensive research using centrality measures in educational settings. One of the most common lines of such research has tested network centrality measures as indicators of success. The increasing interest in centrality measures has been kindled by the proliferation of learning analytics. Previous works have been dominated by…
Descriptors: Measurement Techniques, Learning Analytics, Data Analysis, Academic Achievement