scholarly journals Gentrification and Student Achievement: A Quantitative Analysis of Student Performance on Standardized Tests in Portland's Gentrifying Neighborhoods

2000 ◽  
Author(s):  
Justin Ward
Author(s):  
Nicole Buzzetto-Hollywood ◽  
Kathy Quinn ◽  
Wendy Wang ◽  
Austin Hill

Aim: This study sought to explore the role of the elusive non-cognitive skill set known as grit, or the resolve and determination to achieve goals regardless of impediments, on student success in online education. It represents an area of exploration where there is a dearth in the available literature and reports the results of a study conducted at a Mid-Atlantic minority-serving university that examined the relationship between grit and student performance in fully online courses. Methodology: Students were administered the standard 12-Question Grit Scale with the addition of a series of validated questions that sought to measure perceived self-learning efficacy. Additionally, student performances in online courses were recorded and correlations conducted. Basic statistical analyses such as mean, mode, standard deviation, variance, and confidence interval were calculated. Two hypotheses were introduced as part of this study and tested with Anovas and crosstabulations. Results: This study found that higher grit scores correlated progressively to both self-discipline and self-efficacy but that a positive relationship to student achievement in fully online courses as measured with a p value of greater than .05 could not be confirmed. Conclusion: As online education continues to grow, providing opportunities to foster and strengthen student success in online courses and programs is increasingly important. E-learning success requires that students exhibit strong self-regulation, self-discipline, resilience, dutifulness, conscientiousness, and low impulsivity all of which are attributes of grit. As such, grit is presented as a promising area of exploration for increasing student achievement in online education.


2020 ◽  
Author(s):  
Christian Fischer ◽  
Brandon Foster ◽  
Ayana McCoy ◽  
Frances Lawrenz ◽  
Christopher Dede ◽  
...  

Background: Many students enter into postsecondary education without the college readiness skills that allow them to face the demands of postsecondary education. Increasingly, policymakers and educational researchers are responding to calls for reforming secondary education to provide more opportunity for all students to receive high quality education and to become career and college ready. Purpose: This study attempts to identify levers to increase student performance in secondary education. In particular, it examines relationships of school, teaching, teacher, and teacher professional development characteristics with student scores on high-stakes Advanced Placement (AP) examinations in the sciences.Setting: This study is situated in the context of the large-scale, top-down, nationwide AP curriculum and examination reform in the sciences (Biology, Chemistry, Physics) in the United States. This is an unprecedented opportunity to analyze changing educational landscapes in the United States with large-scale national student-, teacher-, school-, and district-level data sets across multiple science disciplines and different stages of the curriculum reform implementation connected to a standardized and high-stakes student outcome measure.Population: This study analyzes nationwide data samples of the AP Biology, AP Chemistry, and AP Physics population during the first, second, and third year of the curriculum reform implementation. Across disciplines and years, the analytical samples include a total of 113,603 students and 6,046 teachers. Research design: This empirical quantitative study uses data from web-based surveys sent to all AP science teachers. Additionally, College Board provided student- and school-level data for all students taking AP examinations. Data preparation methods included exploratory and confirmatory factor analysis. Associations towards student achievement were analyzed through multi-level ordered logistic regression analysis separately by science discipline and year of the curriculum reform implementation. Afterwards, the results were aggregated through a meta-analysis. Findings: Student performance is not pre-determined by students’ background, leaving roughly 60% of the AP score variance potentially malleable for teacher and school-level factors. In particular, teachers’ perceived administrative support, self-efficacy, teaching experience, and elements of classroom instruction were related to student performance. Notably, teachers’ professional development participation has a small, mixed impact on student achievement. Conclusion: The identified levers for improving student achievement provide a strong rationale for the continued efforts of policy makers to improve school environments and to support science teachers to ultimately both increase student learning and help all students graduate prepared for college and ready for their future careers.


Author(s):  
Asra Khalid ◽  
Karsten Lundqvist ◽  
Anne Yates

In recent years, massive open online courses (MOOCs) have gained popularity with learners and providers, and thus MOOC providers have started to further enhance the use of MOOCs through recommender systems. This paper is a systematic literature review on the use of recommender systems for MOOCs, examining works published between January 1, 2012 and July 12, 2019 and, to the best of our knowledge, it is the first of its kind. We used Google Scholar, five academic databases (IEEE, ACM, Springer, ScienceDirect, and ERIC) and a reference chaining technique for this research. Through quantitative analysis, we identified the types and trends of research carried out in this field. The research falls into three major categories: (a) the need for recommender systems, (b) proposed recommender systems, and (c) implemented recommender systems. From the literature, we found that research has been conducted in seven areas of MOOCs: courses, threads, peers, learning elements, MOOC provider/teacher recommender, student performance recommender, and others. To date, the research has mostly focused on the implementation of recommender systems, particularly course recommender systems. Areas for future research and implementation include design of practical and scalable online recommender systems, design of a recommender system for MOOC provider and teacher, and usefulness of recommender systems.  


2019 ◽  
Vol 6 (2) ◽  
pp. 218-224 ◽  
Author(s):  
Daniel McNeish ◽  
Denis G. Dumas

Changes to educational policies have proliferated testing data to include multiple-administration assessments that repeatedly measure student performance over time. Psychometric models—extended for this type of data—estimate quantities typically associated with assessments that are given once, such as ability at a specific time point. This article considers how multiple-administration assessment offers the opportunity for models to estimate novel quantities that are not available from traditional single-administration assessments but may be of interest to educational researchers and stakeholders. Specifically, dynamic measurement models can directly estimate capacity—the expected future score once the construct of interest has fully developed. Preliminary evidence for this approach shows it may be less susceptible to effects of socioeconomic status and may improve predictions of future performance. An example with real-life operational assessment data is provided. Extensions and limitations for educational assessment are also discussed.


Author(s):  
Annemarie Palincsar ◽  
Gabriel DellaVecchia ◽  
Kathleen M. Easley

Exploring the relationships between teacher education, teaching, and student achievement is a complex undertaking for a host of reasons, including the complexity of teaching, the number of different approaches to teacher education, the challenges associated with measuring teacher knowledge and teacher effectiveness, and the multiple mediators that operate in the study of teaching and learning. Teaching expertise requires technical skills that support instruction, theoretical knowledge, codified knowledge that guides professional decision-making, and critical analysis, which, in turn, informs the enlistment of technical skills and the development of codified knowledge. There is little consensus regarding the specific teacher characteristics that consistently lead to student achievement, although one hypothesis that has received considerable attention in the literature is the importance of teacher subject-matter knowledge. One of the challenges to making definitive statements regarding teacher education and its effects on teaching is that there are multiple approaches to teacher training. These approaches differ in terms of the candidates recruited, admission requirements, course content, the duration of training, the roles and extent of field-based experiences, and relationships with schools. Among claims regarding alternative preparation programs (i.e., programs that are not university-based), for which there is emerging support, is that alternative route teacher education programs are attracting a pool of prospective teachers of diverse age and ethnicity. Furthermore, alternatively certified teachers are choosing to teach in urban settings or settings with large numbers of minoritized students. With respect to measuring the effects of teacher education, a number of methods have been deployed including correlational studies investigating, for example, the relationship between the number of reading courses a teacher has taken and student performance on reading assessments, descriptive case studies of educational systems that are identified as successful, syllabus studies, and quasi-experimental studies. The field is developing more sophisticated and comprehensive measures and methods, as well as theoretical constructs to guide the study of teacher education and its effects on teaching and learning. The study of teacher education and its effects on student learning will benefit from the use of multiple methods—for example, large-scale studies complemented by carefully constructed case studies. In addition, this area will benefit from interdisciplinary scholarship by teams that include scholars who have a deep understanding of teaching and learning, adult development, school systems, and economics so that the field can acquire a more coherent and comprehensive understanding of the complexity of becoming a teacher.


2016 ◽  
Vol 39 (1) ◽  
pp. 54-76 ◽  
Author(s):  
Melinda Adnot ◽  
Thomas Dee ◽  
Veronica Katz ◽  
James Wyckoff

In practice, teacher turnover appears to have negative effects on school quality as measured by student performance. However, some simulations suggest that turnover can instead have large positive effects under a policy regime in which low-performing teachers can be accurately identified and replaced with more effective teachers. This study examines this question by evaluating the effects of teacher turnover on student achievement under IMPACT, the unique performance-assessment and incentive system in the District of Columbia Public Schools (DCPS). Employing a quasi-experimental design based on data from the first years of IMPACT, we find that, on average, DCPS replaced teachers who left with teachers who increased student achievement by 0.08 standard deviation ( SD) in math. When we isolate the effects of lower-performing teachers who were induced to leave DCPS for poor performance, we find that student achievement improves by larger and statistically significant amounts (i.e., 0.14 SD in reading and 0.21 SD in math). In contrast, the effect of exits by teachers not sanctioned under IMPACT is typically negative but not statistically significant.


Author(s):  
Frank P. Albritton Jr.

Does taking a college level course in the principles of economics improve economic literacy? While there is debate on whether courses in the principles of economics as taught at colleges and universities improve general economic literacy, more and more of these courses are being taught online. There has been considerable research in other subjects as to whether there is a difference in student performance dependent upon whether the courses was taken in a traditional face–to–face format or online. However, in the critically important subjects dealt with in the principles of economics, there has been discussion but little research conducted about whether online delivery is equivalent in terms of student achievement to the traditional face–to–face delivery. The purpose of this paper is to determine if there is a difference in the performance of students, as measured by economic literacy, between students taking a course in the principles of economics using a face–to–face versus online format. The data was collected using an online questionnaire over two semesters at a community college and analyzed using SPSS, version 12.


1996 ◽  
Vol 10 (4) ◽  
pp. 9-30 ◽  
Author(s):  
Eric A Hanushek

Historic debates about the measurement of capital are even more complicated in the case of education and human capital. As extensive research demonstrates, education resources are not consistently related to student performance in existing elementary and secondary schools. This inefficiency in public schools implies that spending and resource measures do not accurately capture variations in school quality. This finding then has clear implications for both education policy and economic research. Because school inputs are poor policy instruments, an alternative policy focus that appears much more productive is performance incentives related to student achievement.


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