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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.
Project
Description: The analysis of narratives often accompanies comprehensive language assessments of students. While analyzing narratives can be time-consuming and labor-intensive, recent advances in large language models (LLMs) indicate that it may be possible to automate this process.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: In the 2013-14 school year, two PACT social studies RCTs were conducted, both with Grade 8 students. One study focused on schools with a higher percentage of English learners. The second study focused on struggling readers and provided a more intensified version of the PACT program.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: Students were in Grades 11 enrolled in general education social studies or in Grades 7-12 and enrolled in general education English/language arts classes. Data were collected using measures of reading and other academic skills, attitudes, and student characteristics. All students participated for one school year only.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: Students were in Grade 11 enrolled in general education social studies or in Grades 7-12 and enrolled in general education English/language arts classes. Data were collected using measures of reading and other academic skills, attitudes, and student characteristics. All students participated for one school year only.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: The Vocabulary and Comprehension (VoCo) project was a small study involving 44 struggling readers in Grade 9. The treatment was a multicomponent reading intervention delivered over 80 sessions during one school year. Data on measures of reading comprehension and fluency were collected at pre-test and post-test.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: Students were in Grades 8 or 11 and enrolled in general education social studies or in Grades 7-12 and enrolled in general education English/language arts classes. Data were collected using measures of reading and other academic skills, attitudes, and student characteristics. All students participated for one school year only.
Dataset
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: Students were in Grades 8 enrolled in general education social studies or in Grades 7-12 and enrolled in general education English/language arts classes. Data were collected using measures of reading and other academic skills, attitudes, and student characteristics. All students participated for one school year only.
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.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The test data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The training data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Automated Narrative Scoring Using Large Language Models
Description: Narrative language samples elicited using the ALPS Oral Narrative Retell and Oral Narrative Generation tasks from diverse K-3 students. The tworaters data set was drawn randomly from the larger corpus of narrative language samples. These samples were scored by two raters for reliability purposes.
Document
Part of Project: Promoting Adolescents’ Comprehension of Text (PACT)
Description: This document serves as a codebook for all related project datasets. Project years and subtests are separated as distinct worksheets within the document. This codebook spans 4 years and contains information on a large variety of tests and measures, and as a result is quite long.
Document Type: Codebook
