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Ebru Öztürk; Erol Duran – Educational Policy Analysis and Strategic Research, 2024
In this study, it was aimed to develop a rubric to evaluate the creative story writing skill levels of seventh grade secondary school students. The research was designed in quantitative research method and survey model. In the research, convenience sampling technique was used and 270 students studying at the seventh grade level of secondary school…
Descriptors: Scoring Rubrics, Writing Evaluation, Creative Writing, Middle School Students
Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
Matta, Michael; Mercer, Sterett H.; Keller-Margulis, Milena A. – School Psychology, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Implications of Bias in Automated Writing Quality Scores for Fair and Equitable Assessment Decisions
Michael Matta; Sterett H. Mercer; Milena A. Keller-Margulis – Grantee Submission, 2023
Recent advances in automated writing evaluation have enabled educators to use automated writing quality scores to improve assessment feasibility. However, there has been limited investigation of bias for automated writing quality scores with students from diverse racial or ethnic backgrounds. The use of biased scores could contribute to…
Descriptors: Bias, Automation, Writing Evaluation, Scoring
Forzani, Elena; Leu, Donald J.; Yujia Li, Eva; Rhoads, Christopher; Guthrie, John T.; McCoach, Betsy – Reading Research Quarterly, 2021
Motivation for reading is important to comprehension and has been studied extensively in offline reading contexts. However, little is known about the role of motivation in online reading, a new and increasingly important context for reading, largely because of a lack of valid and reliable instruments to estimate a student's motivation for online…
Descriptors: Reading Motivation, Grade 7, Student Motivation, Electronic Publishing
Peltier, Corey; Vannest, Kimberly J.; Tomaszewski, Brianne R.; Morin, Kristi; Sallese, Mary Rose; Pulos, Joshua M. – Exceptionality, 2022
The current study examined the criterion validity of a computer adaptive universal screener with an end-of-year state mathematics assessment using extant data provided by a local education agency. Participants included 1,195 third through eighth graders. Correlational analyses were used to report predictive and concurrent validity coefficients for…
Descriptors: Adaptive Testing, Computer Assisted Testing, Screening Tests, Mathematics Tests
Forzani, Elena; Leu, Donald J.; Li, Eva Yujia; Rhoads, Christopher; Guthrie, John T.; McCoach, Betsy – Grantee Submission, 2020
Motivation for reading is important to comprehension and has been studied extensively in offline reading contexts. However, we know little about the role of motivation in online reading, a new and increasingly important context for reading. This is largely because we lack valid and reliable instruments to estimate a student's motivation for online…
Descriptors: Reading Motivation, Grade 7, Student Motivation, Electronic Publishing
Conoyer, Sarah J.; Ford, Jeremy W.; Smith, R. Alex; Mason, Erica N.; Lembke, Erica S.; Hosp, John L. – Journal of Psychoeducational Assessment, 2019
This replication study examined the alternate form reliability, criterion validity, and predictive utility of two curriculum-based measurement (CBM) tools in science, Vocabulary-Matching (VM) and Statement Verification for Science (SV-S), for the purpose of screening. In all, 205 seventh-grade students from four middle schools were given alternate…
Descriptors: Curriculum Based Assessment, Screening Tests, Middle School Students, Secondary School Science
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
Part II of the Houston Longitudinal Study on the Transition to College and Work (HLS) examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston Independent School District (HISD) and tracked two…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
This report examined three potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college: (1) Chicago: Designed to predict high school graduation; based on earning six course credits--the minimum to advance to the next grade in HISD--and having at most one semester…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Holzman, Brian; Duffy, Horace – Houston Education Research Consortium, 2020
These are the appendices for "Transitioning to College and Work. Part 2: A Study of Potential Enrollment Indicators," which examined potential indicators of college enrollment school and district staff might use to identify and support students at risk of not attending college. The study used administrative data from the Houston…
Descriptors: Enrollment, At Risk Students, Urban Schools, Predictor Variables
Liang, Jian-Hua; Heckman, Paul E.; Abedi, Jamal – Journal of Advanced Academics, 2018
This study examines the power of cognitive and noncognitive variables to predict students' performance in algebra. We investigated students' prior year's assessment scores and demographic characteristics to predict eighth-grade algebra scores. Using California statewide assessment data, we explored predictive factors in three regression models.…
Descriptors: Algebra, Grade 8, Predictor Variables, Prior Learning
Rahimi, Zahra; Litman, Diane; Correnti, Richard; Wang, Elaine; Matsumura, Lindsay Clare – International Journal of Artificial Intelligence in Education, 2017
This paper presents an investigation of score prediction based on natural language processing for two targeted constructs within analytic text-based writing: 1) students' effective use of evidence and, 2) their organization of ideas and evidence in support of their claim. With the long-term goal of producing feedback for students and teachers, we…
Descriptors: Scoring, Automation, Scoring Rubrics, Natural Language Processing
Thomas, Almut E.; Mueller, Florian H. – Social Psychology of Education: An International Journal, 2017
In school classes students influence each other at conscious and subconscious levels and therefore, students' shared perceptions are considered meaningful for the development of the individual student. This article identified situations where students' class-average perceptions of autonomy support add to the predictive validity of students'…
Descriptors: Student Motivation, Student Attitudes, Personal Autonomy, Predictive Validity
Anselmo, Giancarlo A.; Yarbrough, Jamie L.; Kovaleski, Joseph F.; Tran, Vi N. – Psychology in the Schools, 2017
This study analyzed the relationship between benchmark scores from two curriculum-based measurement probes in mathematics (M-CBM) and student performance on a state-mandated high-stakes test. Participants were 298 students enrolled in grades 7 and 8 in a rural southeastern school. Specifically, we calculated the criterion-related and predictive…
Descriptors: Curriculum Based Assessment, Scores, High Stakes Tests, Screening Tests
Lamb, Lindsay M. – Online Submission, 2016
This executive summary highlights findings from the full report (published separately) which analyzes construct and predictive validity of a Social and Emotional Learning (SEL) Competency Survey. Students' SEL skill ratings were correlated with other measures of SEL skills and other outcomes of interest. A separate research brief also was…
Descriptors: School Districts, Social Development, Emotional Development, Social Emotional Learning