The organization of student performance in American schools: Discipline, motivation, verbal learning, nonverbal learning.

2001 ◽  
Vol 93 (1) ◽  
pp. 65-76 ◽  
Author(s):  
Paul A. McDermott ◽  
Melissa Mordell ◽  
Jill C. Stoltzfus
2019 ◽  
Vol 34 (6) ◽  
pp. 907-907
Author(s):  
N Hawley ◽  
H Brunet ◽  
J Miller

Abstract Objective Prior research revealed that processing speed predicts nonverbal learning in healthy older adults (Tam & Schmitter-Edgecombe, 2013). This study aims to examine the role of processing speed in both verbal and nonverbal learning in a clinical sample. We expect that processing speed will lend the most variance to the initial learning trials. Method Records from 718 patients were reviewed (mean age = 74). Hierarchical regression analyses were conducted using Brief Visuospatial Memory Test –Revised (BVMT-R) and Hopkins Verbal Learning Test –Revised (HVLT-R) learning trials as outcome variables. Demographics were entered in a first step followed by BVMT-R copy or Wechsler Adult Intelligence Scale (WAIS-IV) Digit Span –longest digit span forward raw score, to account for visuoconstruction or simple auditory attention for nonverbal and verbal learning outcomes respectively. A processing speed composite of sample-standardized raw scores was entered in a final step. Results Processing speed accounted for 5.4% of the variance in BVMT-R trial 1, 7.5% of the variance in trial 2, and 8.5% of the variance in trial 3, all p < .001. Processing speed accounted for 6.6% of the variance in HVLT-R trial 1, 11.1% of the variance in trial 2, and 11.5% of the variance in trial 3, all p < .001. Conclusions Processing speed significantly predicted all verbal and nonverbal learning trials. Contrary to our hypotheses, processing speed actually had a greater contribution during subsequent learning trials. These findings have implications for evaluating memory performance in patients with syndromes where processing speed is typically affected (e.g., cerebrovascular disease, Parkinson’s disease).


2021 ◽  
Vol 6 ◽  
Author(s):  
Carmen Flores-Mendoza ◽  
Ruben Ardila ◽  
Miguel Gallegos ◽  
Norma Reategui-Colareta

Numerous technical—scientific reports have demonstrated that student performance variability is linked to several factors, especially socioeconomic factors. For a century, differential psychology has shown that students’ socioeconomic level has little or no relevance in the explanation of student performance variation when the intellectual factor is considered. Here we present a study on a student samples (N = 1264) aged 13 to 16 yrs, enrolled in 32 schools from five Latin American countries (Argentina, Brazil, Chile, Colombia, and Peru). A short version of the PISA test (composed by 16 items) and five cognitive measures were administered, in addition to a socioeconomic questionnaire. Multilevel analysis (marginal models) indicated that general intelligence (g-factor) and socioeconomic school status were robust predictors, and the students’ socioeconomic status very little accounted for the variation in the PISA test. This study concludes that education policy must incorporate individual differences in intelligence, beyond socioeconomic variables, as an important predictor variable in student performance studies.


2018 ◽  
Vol 51 (8) ◽  
pp. 1051-1073 ◽  
Author(s):  
Catherine Robert ◽  
Nathern S. A. Okilwa

In 2011, the Office of Civil Rights (OCR) conducted a compliance review of the Los Angeles Unified School District (LAUSD) to examine the district’s provision of resources and opportunities to schools with predominantly African American students as compared with schools with predominantly White students. The purpose of this study is to examine the extent to which LAUSD has responded to OCR findings. Research questions include the following: (a) How do LAUSD majority White and majority African American elementary schools compare on performance indicator variables? (b) What are the differences in teacher quality variables between majority African American and majority White schools? (c) How successful has the OCR review been to date in accomplishing the outcomes advocated for by the OCR? Findings indicate that majority African American schools continue to have significantly lower teacher and student attendance, student performance, and percentage of students identified as gifted and talented (GT). African American students also continue to experience higher rates of disciplinary incidents as compared with White students.


2019 ◽  
Vol 121 (2) ◽  
pp. 1-38
Author(s):  
Karen Phelan Kozlowski ◽  
Douglas Lee Lauen

Background Policy makers are increasingly adopting performance incentives to spur under-performing teachers as a way to improve teaching and student performance. However, much of the experimental research fails to find meaningful effects of performance incentives on either student achievement or teacher practice. Purpose/Objective Using the “principal–agent problem” as the theoretical motivation for the study, this research examines why performance incentives have not worked in American schools. The principal–agent problem suggests that in the absence of a perfect system to monitor agents, (e.g., teachers), there must be an incentive based on some measurable outcome to ensure maximal effort. The underlying assumptions about why performance incentives should work for teachers are that (1) teachers are primarily motivated by money, (2) teachers are not currently working hard enough, and (3) teachers know how to be more effective but are choosing not to put forth the necessary effort to do so. The purpose of this research is to examine whether these assumptions hold for teachers. Research Design We conducted qualitative analysis of interviews and focus groups with approximately 150 teachers and 20 administrators from 13 of the lowest performing school districts in North Carolina to understand how educators perceived performance incentives in the context of their own practice. Findings Three key themes emerged from our study. First, teachers report being motivated by service to their students instead of opportunities to maximize income. Second, teachers think they are already working as hard as they can and find little room in their practice to work harder, whatever the financial reward. Third, when teachers do improve their practice, it comes from opportunities to learn new strategies and techniques. Conclusions The empirical research presented in this paper suggests that performance incentive programs rest on a set of flawed theoretical assumptions. Performance incentives assume that teachers (1) are primarily motivated by financial rewards, (2) are not working as hard as they can, and (3) know how to be more effective. However, these assumptions do not comport with what teachers and administrators report about their motivation and practice. Therefore, performance incentives will likely do little to improve teacher effectiveness overall.


Sign in / Sign up

Export Citation Format

Share Document