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No Child Left Behind Act 20011
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Ethan R. Van Norman; Emily R. Forcht – Journal of Education for Students Placed at Risk, 2024
This study evaluated the forecasting accuracy of trend estimation methods applied to time-series data from computer adaptive tests (CATs). Data were collected roughly once a month over the course of a school year. We evaluated the forecasting accuracy of two regression-based growth estimation methods (ordinary least squares and Theil-Sen). The…
Descriptors: Data Collection, Predictive Measurement, Predictive Validity, Predictor Variables
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Skrzypiec, Grace; Askell-Williams, Helen; Zhao, Xueqin; Du, Wenping; Cao, Fei; Xing, Lihong – Psychology in the Schools, 2018
There has been substantial research in the United States, Europe, and Australia about factors influencing students' well-being. However, such research has been relatively rare in Mainland China. We administered four predictor scales (School Satisfaction, Self-Concept, Relationships, and Resilience) and three outcome scales (Flourishing, Mental…
Descriptors: Predictor Variables, Foreign Countries, Well Being, Elementary School Students
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Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
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Siegle, Del; McCoach, D. Betsy; Shea, Kelly – Roeper Review, 2014
Factors associated with motivation and satisfaction aid in understanding the processes that enhance achievement and productivity. Siegle and McCoach (2005) proposed a motivational model for understanding student achievement and underachievement that included self-perceptions in three areas (meaningfulness [goal valuation], self-efficacy, and…
Descriptors: Job Satisfaction, Academically Gifted, Talent, Predictive Measurement
Peller, Sarah – ProQuest LLC, 2014
The present study examined the relationship between children's early literacy-related abilities and their reading achievement in late elementary school in the context of a Puerto Rican community in Massachusetts. The researcher examined four years of student achievement test data from the public elementary schools of Holyoke, Massachusetts. The…
Descriptors: Puerto Ricans, Reading Tests, Grade 1, Grade 4
Harris, Douglas N.; Sass, Tim R. – National Center for Analysis of Longitudinal Data in Education Research, 2009
Mounting pressure in the policy arena to improve teacher productivity either by improving signals that predict teacher performance or through creating incentive contracts based on performance--has spurred two related questions: Are there important determinants of teacher productivity that are not captured by teacher credentials but that can be…
Descriptors: Credentials, Teacher Effectiveness, Teaching Skills, Principals
Mikelbank, Kristen; Nelson, Lisa; Lickfelt, Sarah; Coulton, Claudia – Center on Urban Poverty and Social Change (NJ1), 2004
Having low literacy skills could impact everything from reading a newspaper and balancing a checkbook to wise consumer decisions and job advancement. This study estimates adult literacy measures for Cuyahoga County, Ohio and its municipalities. It is also important to have a sense of how many children are at risk for developing literacy problems…
Descriptors: Neighborhoods, Municipalities, Needs Assessment, Educational Attainment