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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.
Project
Description: Project Goals:
The first goal will fill a CUREs gap by creating self-supporting and sustainable protein-centric
CUREs. The second goal will use this protein-centric CUREs community to examine two critical
aspects of a CURE: 1) the impact of the length of CUREs (course long CUREs (cCUREs) or shorter, modular
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the results of the faculty CURE survey given after the faculty taught the course.
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.
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 test data set was drawn randomly from the larger corpus of narrative language samples.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the pre and post test TOSLS data for the undergraduate students in this project.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This contains institutional data gathered from some of the participating institutions including GPA, retention, and graduation data.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This includes the variables from the STEM Career Interest Scale.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: This is the student data from the LCAS taken at the end of the semester.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: The faculty reported the CURE elements that were incorporated into their course after the semester was finished.
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: Malate Dehydrogenase CURE Community
Description: EDAT data from undergraduate students participating in a protein-centric CURE.
Dataset
Part of Project: Malate Dehydrogenase CURE Community
Description: Data are from ~1,500 undergraduate students participating in a protein-centric CURE across 19 institutions. This is the data from Lopatto's CURE survey.
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: 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: 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 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: 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.
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
