PLANEA mathematics scores for Tlaxcala and Mexico, 2015

2021 ◽  
Keyword(s):  
Mathematics Scores

Are There Test Administrator Effects in Large-Scale Educational Assessments?

Methodology ◽  
2007 ◽  
Vol 3 (4) ◽  
pp. 149-159 ◽  
Author(s):  
Oliver Lüdtke ◽  
Alexander Robitzsch ◽  
Ulrich Trautwein ◽  
Frauke Kreuter ◽  
Jan Marten Ihme
Keyword(s):  
Large Scale ◽  
International Student ◽  
Student Assessment ◽  
Student Groups ◽  
Mathematics Scores ◽  
International Student Assessment ◽  
Sample Attrition ◽  
Educational Assessments ◽  
Test Administrator ◽  
Practical Implications

Abstract. In large-scale educational assessments such as the Third International Mathematics and Sciences Study (TIMSS) or the Program for International Student Assessment (PISA), sizeable numbers of test administrators (TAs) are needed to conduct the assessment sessions in the participating schools. TA training sessions are run and administration manuals are compiled with the aim of ensuring standardized, comparable, assessment situations in all student groups. To date, however, there has been no empirical investigation of the effectiveness of these standardizing efforts. In the present article, we probe for systematic TA effects on mathematics achievement and sample attrition in a student achievement study. Multilevel analyses for cross-classified data using Markov Chain Monte Carlo (MCMC) procedures were performed to separate the variance that can be attributed to differences between schools from the variance associated with TAs. After controlling for school effects, only a very small, nonsignificant proportion of the variance in mathematics scores and response behavior was attributable to the TAs (< 1%). We discuss practical implications of these findings for the deployment of TAs in educational assessments.

The association between physical fitness and mathematics scores in elementary schools in Indonesia

2020 ◽  
Vol 42 (3) ◽  
pp. 70-77
Author(s):  
Dinar Dinangsit ◽  
Tatang Muhtar ◽  
Yogi Akin
Keyword(s):  
Academic Achievement ◽  
Physical Education ◽  
Physical Fitness ◽  
School Curriculum ◽  
Current Approach ◽  
Physical Fitness Test ◽  
Major Barrier ◽  
Mathematics Scores ◽  
Test Items ◽  
And Mathematics

A continual pressure within the educational system in Indonesia to focus on high levels of academic achievement is a major barrier to implementing an effective physical education curriculum in Indonesia. The conflict between the implementation of a movement based approach (MBA) and a sport based approach (SBA) presents another continuing problem. The current approach leads more to an orientation towards the acquisition of sport skills rather than the attainment of objectives of cognitive development. This study is aimed to reveal the association between the physical fitness and academic achievement of children in Sumedang, West Java. Four physical fitness test items and a specially constructed mathematics test were administered to 265 children from grades four and five. The ability of performance on the physical fitness tests to predict performance in mathematics was calculated by linear multipleregression analysis. The findings revealed that there was a significant association, although low, between the physical fitness components and mathematics achievement. Sit ups and squat jumps showed low partial correlations and the relationships for push ups and the 400 metre run were negative Limitations in the ability of the children to perform the tests were suggested as an explanation for the mixed results. It was argued that this weakness served to emphasise the importance of giving greater priority to physical education and the quality of its teaching within the school curriculum.

scholarly journals Internet use at and outside of school in relation to low- and high-stakes mathematics test scores across 3 years

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Dmitri Rozgonjuk ◽  
Karin Täht ◽  
Kristjan Vassil
Keyword(s):  
Technology Use ◽  
Test Scores ◽  
Internet Use ◽  
High Stakes ◽  
Data Set ◽  
Mathematics Scores ◽  
9Th Grade ◽  
12Th Grade ◽  
Mathematics Test ◽  
Exam Scores

Abstract Background The excessive use of Internet-based technologies has received a considerable attention over the past years. Despite this, there is relatively little research on how general Internet usage patterns at and outside of school as well as on weekends may be associated with mathematics achievement. Moreover, only a handful of studies have implemented a longitudinal or repeated-measures approach on this research question. The aim of the current study was to fill that gap. Specifically, we investigated the potential associations of Internet use at and outside of school as well as on weekends with mathematics test performance in both high- and low-stakes testing conditions over a period of 3 years in a representative sample of Estonian teenagers. Methods PISA 2015 survey data in conjunction with national educational registry data were used for the current study. Specifically, Internet use at and outside of school as well as on weekends were queried during the PISA 2015 survey. In addition, the data set included PISA mathematics test results from 4113 Estonian 9th-grade students. Furthermore, 3758 of these students also had a 9th-grade national mathematics exam score from a couple of months after the PISA survey. Finally, of these students, the results of 12th-grade mathematics national exam scores were available for 1612 and 1174 students for “wide” (comprehensive) and “narrow” (less comprehensive) mathematics exams, respectively. Results The results showed that the rather low-stakes PISA mathematics test scores correlated well with the high-stakes national mathematics exam scores obtained from the 9th (completed a couple of months after the PISA survey) and 12th grade (completed approximately 3 years after the PISA survey), with correlation values ranging from r = .438 to .557. Furthermore, socioeconomic status index was positively correlated with all mathematics scores (ranging from r = .162 to .305). Controlled for age and gender, the results also showed that students who reported using Internet the longest tended to have, on average, the lowest mathematics scores in all tests across 3 years. Although effect sizes were generally small, they seemed to be more pronounced in Internet use at school. Conclusions Based on these results, one may notice that significantly longer time spent on Internet use at and outside of school as well as on weekends may be associated with poorer mathematics performance. These results are somewhat in line with research outlining the potentially negative associations between longer time spent on digital technology use and daily life outcomes.

Effects of Pedagogical Agents on Students’ Mathematics Performance: A Comparison Between Two Versions

2017 ◽  
Vol 56 (5) ◽  
pp. 701-722 ◽  
Author(s):  
Rex P. Bringula ◽  
Ian Clement O. Fosgate ◽  
Neil Peter R. Garcia ◽  
Josf Luinico M. Yorobe
Keyword(s):  
Experimental Study ◽  
Facial Expression ◽  
Prior Knowledge ◽  
Facial Expressions ◽  
Mathematics Learning ◽  
Mathematics Performance ◽  
Pedagogical Agents ◽  
Pedagogical Agent ◽  
Mathematics Scores ◽  
Mathematics Problems

This experimental study investigated the effects of the use of two versions of a pedagogical agent named personal instructing agent (PIA) on the mathematics performance of students. The first version exhibits synthetic facial expressions while the second version does not exhibit facial expression (i.e., neutral facial expression). Two groups of students with the same levels of prior knowledge in mathematics utilized two different versions of PIA. The first group—the facial group—utilized a PIA that provides textual and facial expressions feedback (happy, sad, surprise, and neutral facial expressions). The second group—the nonfacial group—used the same software except that PIA only exhibited neutral facial expression. The study showed that the mathematics scores of the students in the facial group significantly improved as compared with those who are in the nonfacial group. The posttest scores of the facial group were found significantly higher than those of the nonfacial group. The study showed that PIA that exhibited synthetic facial expressions improved students’ mathematics learning. It is concluded that synthetic facial expressions and textual feedback of pedagogical agent can be utilized to help students learn to solve mathematics problems. Limitations and recommendations are also presented.

Predictors of Sat Mathematics Scores of Gifted Male and Gifted Female Adolescents

1989 ◽  
Vol 13 (2) ◽  
pp. 191-203 ◽  
Author(s):  
Shelagh A. Gallagher
Keyword(s):  
Learning Style ◽  
Spatial Task ◽  
Female Adolescents ◽  
Mathematics Scores ◽  
Cognitive Reasoning ◽  
Visual Spatial ◽  
Speed Of Response ◽  
Differential Performance ◽  
Predominant Factor ◽  
Males And Females

A regression analysis was conducted to determine the relative importance of a series of variables in the prediction of SAT-Mathematics (SAT-M) scores of gifted males and females. Among the variables considered were visual-spatial ability, cognitive reasoning ability, learning style, and SAT-Verbal (SAT-V) scores. Scores on the visual-spatial task were analyzed for speed of response as well as ability. For both sexes, reasoning skills were the predominant factor in the prediction formulas. Differences in the two formulas seemed to reflect males' greater facility with process skills necessary for the SAT-M. Implications are discussed regarding how to interpret the differential performance of gifted males and females on the SAT-M.

scholarly journals A Cross-Sectional Analysis of Mathematics Education Practices at Canadian Universities

2018 ◽  
Vol 12 (1) ◽  
pp. 1-20 ◽  
Author(s):  
Chester Weatherby ◽  
Donna Kotsopoulos ◽  
Douglas Woolford ◽  
Laaraib Khattak
Keyword(s):  
Mathematics Education ◽  
Standardized Testing ◽  
Secondary Mathematics ◽  
Online Information ◽  
Cross Sectional ◽  
Mathematics Scores ◽  
Canadian Universities ◽  
Mathematics Majors ◽  
Post Secondary ◽  
University Mathematics

In response to international standardized testing, many countries are examining mathematics education at virtually every level of instruction. Canada is no exception. Declines in mathematics scores in some international standardized tests have raised concerns amongst some stakeholders that a “crisis” may be unfolding and the readiness of students to study mathematics in university. These results raise questions about the ways in which students are streamed into university mathematics and the supports provided once they begin their studies. Our focus in this research was university-level mathematics education. To mimic how students, parents, counselors and son on are most likely to seek for mathematics support, we engaged in a web-based examination of departments of mathematics at 62 Canadian universities (including “university colleges”). Our objectives were to examine the types of degrees offered, admission protocols (including types of streaming or placement tests), methods for remedial support, accessibility of online information, mathematics help centers, courses for non-mathematics majors, and access initiatives as a preliminary step in analyzing the broader Canadian landscape in post-secondary mathematics education. Our findings reveal remarkably consistent practices across all institutions. A rethinking of practices may be necessary in order to support those students that appear to be underprepared for post-secondary mathematics.

A Study of Planning and Mathematics Instruction for Students with Learning Disabilities

1995 ◽  
Vol 76 (3_suppl) ◽  
pp. 1343-1354 ◽  
Author(s):  
Jack A. Naglieri ◽  
Suzanne H. Gottling
Keyword(s):  
Learning Disabilities ◽  
Cognitive Strategies ◽  
Assessment System ◽  
Students With Learning Disabilities ◽  
Mathematics Scores ◽  
Self Reflection ◽  
Mathematics Problems ◽  
Cognitive Education ◽  
And Mathematics ◽  
Mathematical Computation

The purpose of this study was to extend research in training the use of cognitive strategies or planning to mathematical computation for 4 students with specific learning disabilities. A cognitive education method utilized in previous research was duplicated. It was expected that students would find the instruction differentially effective based upon their initial scores on a measure of planning. Using the Planning, Attention, Simultaneous, Successive model as a base, a cognitive instruction which facilitated planning was provided to two students with low scores on planning, obtained using an experimental version of the Das-Naglieri Cognitive Assessment System, and two students with average planning scores. All students completed three sessions of baseline and seven sessions of cognitive instruction in addition and multiplication. During the cognitive instruction phase, 5-min. sessions of self-reflection and verbalization of strategies about the mathematics problems were conducted after each initial 10-min. session of mathematics. Scores on addition problems showed that all students improved. On multiplication, however, 2 students with low planning scores improved considerably but not 2 with higher planning scores. Implications are provided.

Regression & Correlation Analysis of Higher Mathematics on Probability and Statistics

2014 ◽  
Vol 556-562 ◽  
pp. 4167-4170
Author(s):  
Jing Mei Yang
Keyword(s):  
Close Relation ◽  
Strong Basis ◽  
Mathematics Scores ◽  
Math Scores ◽  
Probability And Statistics ◽  
The Impact ◽  
Core Course ◽  
Regression Correlation ◽  
Good Linear Correlation

Higher mathematics and Probability and statistics are the core course in university,There is a close relation between the two. By comparison and analysis of the scores of the two courses, this paper attempts to show that higher math scores on the impact of Probability and statistics, Higher mathematics X is in linear relationship with Probability and statistics Y,The coefficients for the two is r=0.541. the correlativity between higher mathematics and Probability and statistics has been investigated by regression analysis,the regression equation between the two is obtained,therefore the quantitative analysis can be carried out.Conclusion: There is a good linear correlation between higher mathematics scores and Probability and statistics scores.Description the quality of higher mathematics achievements on the impact of Probability and statistics can not be ignored, for the construction of Higher mathematics courses provide a strong basis.

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