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Project
Description: Science of reading experts have called for increased attention on oral academic language. Specifically, interventions need to integrate multiple dimensions of academic language—word-, sentence-, and discourse-level patterns—to impact listening comprehension.
Project
Description: This project focused on the idea of data-based decision-making (DBDM) at the classroom level, focusing on how teachers use assessment data to adapt their instruction to students’ individual needs. The present project investigated this idea directly and evaluated the effectiveness of teacher support on the different steps of this process.
Dataset
Part of Project: Oral Academic Narrative Language Intervention
Description: This file contains data according to two research designs: small scale RCT and a Repeated Acquisition Design (single case research). The vocabulary at the pre- and post- collections were untaught words whereas the weekly probes for the RAD were the taught words of that week.
Dataset
Part of Project: Data-based decision-making in schools: Examining the process and effects of teacher support
Description: This dataset contains the relevant data related to the project "Data-based decision-making in schools: Examining the process and effects of teacher support", that were used in the associated manuscript available at https://doi.org/10.1037/edu0000530. Data and associated codebook/materials are all available at the external dataset link.
