Review of Graded Arithmetic-mathematics test. Ages 7-15.

1950 ◽  
Vol 14 (1) ◽  
pp. 77-77
Keyword(s):  
2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Dmitri Rozgonjuk ◽  
Karin Täht ◽  
Kristjan Vassil

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.


ZDM ◽  
2021 ◽  
Author(s):  
Haim Elgrably ◽  
Roza Leikin

AbstractThis study was inspired by the following question: how is mathematical creativity connected to different kinds of expertise in mathematics? Basing our work on arguments about the domain-specific nature of expertise and creativity, we looked at how participants from two groups with two different types of expertise performed in problem-posing-through-investigations (PPI) in a dynamic geometry environment (DGE). The first type of expertise—MO—involved being a candidate or a member of the Israeli International Mathematical Olympiad team. The second type—MM—was comprised of mathematics majors who excelled in university mathematics. We conducted individual interviews with eight MO participants who were asked to perform PPI in geometry, without previous experience in performing a task of this kind. Eleven MMs tackled the same PPI task during a mathematics test at the end of a 52-h course that integrated PPI. To characterize connections between creativity and expertise, we analyzed participants’ performance on the PPI tasks according to proof skills (i.e., auxiliary constructions, the complexity of posed tasks, and correctness of their proofs) and creativity components (i.e., fluency, flexibility and originality of the discovered properties). Our findings demonstrate significant differences between PPI by MO participants and by MM participants as reflected in the more creative performance and more successful proving processes demonstrated by MO participants. We argue that problem posing and problem solving are inseparable when MO experts are engaged in PPI.


2015 ◽  
Vol 117 (1) ◽  
pp. 1-32
Author(s):  
Ming Ming Chiu

Background While many studies show that greater economic inequality widens the achievement gap between rich and poor students, recent studies indicate that countries with greater economic inequality have lower overall student achievement. Purpose This study explores whether family inequalities (family income) or school inequalities (educational materials or teachers with university degrees) reduce overall student achievement through micro-economic mechanisms, such as fewer educational resources (via rent-seeking) or inefficient resource allocation (via diminishing marginal returns). Population/Participants/Subjects The Organisation for Economic Cooperation and Development's Programme for International Student Assessment (OECD-PISA) selected 475,760 representative fifteen-year-olds and their principals from 18,094 schools in 65 countries. Research Design In this secondary analysis, we tested whether family or school inequalities were related to students’ mathematics test scores, and whether fewer educational resources or inefficient resources allocation mediated these relationships. Data Collection and Analysis Each student received a mathematics test. The students and their principals also received a questionnaire. World Bank economic data on each countries were merged with the OECD-PISA data. To analyze this data, we used item response models, Warm indices and multilevel analyses. Findings/Results In countries with greater family inequality (GDP Gini) or school inequalities (of educational materials or teacher quality), students had lower mathematics achievement. The results were similar in all student subsamples (high vs. low SES; high vs. low achievement). As the mediation results for each inequality differed, they suggest that these inequalities operate through different mechanisms. Family inequality and school inequality of teacher quality are linked to fewer teachers with post-secondary education and lower mathematics achievement. Meanwhile, school inequality of educational resources is linked to diminishing marginal returns and lower mathematics achievement. Conclusions/Recommendations Family inequality and school inequalities (educational materials, teacher quality) are distinct inequalities that are all linked to lower mathematics achievement, but not substantially correlated with one another. Thus, each inequality can be addressed separately. As none of the subgroups of students (not even the richest ones) benefit from any of the inequalities, disseminating the results widely can help more laypeople (especially the richest ones) recognize their mutual benefit in reducing these inequalities –or reduce their inclination to support policies that exacerbate these inequalities. As reducing family inequality can be extremely costly and politically controversial, a strategic intervention at the inequality mechanism level (e.g., increasing teacher quality in schools with few high quality teachers) might be improve mathematics achievement more effectively.


Pythagoras ◽  
2009 ◽  
Vol 0 (69) ◽  
Author(s):  
Belinda Huntley ◽  
Johann Engelbrecht ◽  
Ansie Harding

In this study we propose a taxonomy for assessment in mathematics, which we call the assessment component taxonomy, to identify those components of mathematics that can be successfully assessed using alternative assessment formats. Based on the literature on assessment models and taxonomies in mathematics, this taxonomy consists of seven mathematics assessment components, hierarchically ordered by cognitive level, as well as the nature of the mathematical tasks associated with each component. Using a model that we developed earlier for measuring the quality of mathematics test items, we investigate which of the assessment components can be successfully assessed in the provided response question (PRQ) format, in particular multiple choice questions (MCQs), and which can be better assessed in the constructed response question (CRQ) format. The results of this study show that MCQs can be constructed to evaluate higher order levels of thinking and learning. The conclusion is that MCQs can be successfully used as an assessment format in undergraduate mathematics, more so in some assessment components than in others. The inclusion of the PRQ assessment format in all seven assessment components can reduce the large marking loads, associated with continuous assessment practices in undergraduate mathematics, without compromising the validity of the assessment.


Author(s):  
Agus Setiawan

The objective of this research was to investigate the effect of analytical on learning achievement viewed from IQ. This research used the causal comparative research with the factorial design of 3 x 3. Its population was all of the students of mathematics education in Islamic Institute Of Ma’arif NU Metro Lampung. The samples of the research were taken by using the random sampling. The instruments used to gather the data of the research were test of learning achievement in Mathematics, test of analytical individu and test of IQ of the students. Prior to their use, both the test were tried out. Their contents were validated by the related experts. The reliability of the instruments was tested by using the Cronbach Alpha formula. The discrimination power of the test and the internal consistency of the questionnaire used Karl Pearson’s product moment correlation formula. The pre-requisite tests of the research included the normality test by using Lilliefors test and homogeneity test by using Bartlett test. The proposed hypotheses of the research were tested by using the two-way analysis of variance with unbalanced cells. The results of the research are as follows. 1) The students with high IQ have a better learning achievement in Mathematics than students with moderate IQ. 2) The students with the high analytical individu have a better learning achievement in Mathematics than those with the moderate and low analytical individu, and the students with the moderate analytical individu have a better learning achievement in Mathematics than those with the low analytical individu. 3) There was interaction among analytical and IQ on learning achievement mathematics.


2020 ◽  
Vol 1 (01) ◽  
pp. 53-67
Author(s):  
Dydik Kurniawan ◽  
Tri Wahyuningsih ◽  
Fitriani Fitriani

Development of Final Examination applications based on computer for Mathematics subjects for grade X Accounting students at SMK Negeri 1 Samarinda even semester 2018/2019. Data collected by the method of observation, interviews, literature studies, documentation and questionnaires. Data analysis techniques using descriptive qualitative analysis techniques and quantitative analysis. The results of this study are: 1) Development of Final Examination applications based on computer using the Microsoft Visual Basic 6.0 programming language, and for databases using Microsoft Access 2013 with features replacing answers, running time, and random number questions. 2) The feasibility test given to 2 media validation experts obtained a percentage value of 81.07% in the good category, for the results of the program testing questionnaire given to CBT experts 94.78% in the very good category, for the results of the program testing questionnaire given to 2 Math teachers got a percentage value of 84% with a very good category, and for the results of the questionnaire testing program given to 34 students obtained a percentage value of 84.67% in user testing with excellent category results, it can be concluded that the application of the Final Semester Examination based on computer is in accordance with its purpose which is to facilitate users both teachers and students as users in the implementation of Mathematics test exams in class X Accounting students in SMK.


2009 ◽  
Author(s):  
Carmel M. Diezmann ◽  
Tom J. Lowrie
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document