scholarly journals Non-symbolic arithmetic abilities and mathematics achievement in the first year of formal schooling

Cognition ◽  
2010 ◽  
Vol 115 (3) ◽  
pp. 394-406 ◽  
Author(s):  
Camilla K. Gilmore ◽  
Shannon E. McCarthy ◽  
Elizabeth S. Spelke
2017 ◽  
Vol 42 (1) ◽  
pp. 70-78 ◽  
Author(s):  
Sue Walker ◽  
Donna Berthelsen

THIS PAPER PRESENTS ANALYSES of gender differences in classroom behaviours (e.g. attentiveness and task persistence) and early academic outcomes. Data is drawn from Growing Up in Australia: The Longitudinal Study of Australian children (LSAC). In these analyses, data from Wave 1 data collection (2004) and Wave 2 data collection (2006) for the Kindergarten Cohort are used. A sample of 2315 children who were in Year 1 of school at Wave 2 data collection are the focus for the analyses reported. The analyses draw on teacher ratings of children's literacy and language competence and mathematical thinking in Year 1 of school; as well as ratings of children's self-regulatory behaviour in the classroom and level of problem behaviours. Girls were rated by their teachers as having better literacy and language outcomes that were predicted by more positive classroom behaviours. Results are discussed with respect to the influence of children's classroom behaviours on academic learning at the beginning of formal schooling.


2017 ◽  
Vol 15 (1) ◽  
pp. 100
Author(s):  
Herlina Herlina

The purpose of this study was to compare the learning achievement using cooperative learning model Student Teams Achievement Divisions with cooperative learning model Student Teams Achievement Divisions modification of guided discovery in terms of verbal abality. Based on the results of the study concluded that (1) based on a model of learning, the mathematics achievement of students who use cooperative learning model Student Teams Achievement Divisions as good with mathematics achievement of students who use cooperative learning model Student Teams Achievement Divisions modifications guided discovery, both onstudents who have the high verbal skills, medium and low, (2) base on terms of verbal skills, mathematics achievement of students who have high verbal ability is better than mathematics achievement of students who have medium and low verbal ability, and mathematics achievement of students have medium verbal skillsbetter than mathematics achievement of students have the ability low verbal skills. Tujuan penelitian ini adalah untuk mengetahui perbandingan prestasi belajar yang menggunakan model pembelajaran kooperatif tipe Student Teams Achievement Divisions dengan model pembelajaran kooperatif tipe Student Teams Achievement Divisions modifikasi penemuan terbimbing ditinjau dari kemamuan verbal. Berdasarkan hasil penelitian disimpulkan bahwa (1) berdasarkan model pembelajaran, prestasi belajar matematika peserta didik yang menggunakan model pembelajaran kooperatif tipe Student Teams Achievement Divisions sama baiknya dengan prestasi belajar matematika peserta didik yang dikenai model pembelajaran kooperatif tipe Student Teams Achievement Divisions modifikasi penemuan terbimbing,baik pada peserta didik yang memiliki kemampuan verbal tinggi, sedang dan rendah, (2) ditinjau dari kemampuan verbal, peserta didik yang memiliki kemampuan verbal tinggi lebih baik daripada peserta didik yang memiliki kemampuan verbal sedang dan rendah, dan peserta didik yang memiliki kemampuan verbal sedang lebih baik daripada peserta didik yang memiliki kemampuan verbal rendah.


Author(s):  
Diarmaid Lane ◽  
Sheryl Sorby

AbstractIn recent years, there has been a surge in research in spatial thinking across the international community. We now know that spatial skills are malleable and that they are linked to success across multiple disciplines, most notably Science, Technology, Engineering and Mathematics (STEM). While spatial skills have been examined by cognitive scientists in laboratory environments for decades, current research is examining how these skills can be developed in field-based environments. In this paper, we present findings from a study within a Technology Teacher preparation programme where we examined first-year students’ spatial skills on entry to university. We explain why it was necessary to embed a spatial skills intervention into Year 1 of the programme and we describe the impact that this had on students’ spatial scores and on academic performance. The findings from our study highlight a consistent gender gap in spatial scores at the start of the first-year with female students entering the Technology Teacher preparation programme at a lower base level than male students. We describe how we integrated spatial development activities into an existing course and how an improvement in spatial scores and overall course performance was observed. The paper concludes by discussing the long-term sustainability of integrating spatial interventions within teacher preparation programmes while also highlighting the importance of future research to examine spatial skills as a fundamental component of technological capability.


Genus ◽  
2021 ◽  
Vol 77 (1) ◽  
Author(s):  
Andrea Priulla ◽  
Nicoletta D’Angelo ◽  
Massimo Attanasio

AbstractThis paper investigates gender differences in university performances in Science, Technology, Engineering and Mathematics (STEM) courses in Italy, proposing a novel application through the segmented regression models. The analysis concerns freshmen students enrolled at a 3-year STEM degree in Italian universities in the last decade, with a focus on the relationship between the number of university credits earned during the first year (a good predictor of the regularity of the career) and the probability of getting the bachelor degree within 4 years. Data is provided by the Italian Ministry of University and Research (MIUR). Our analysis confirms that first-year performance is strongly correlated to obtaining a degree within 4 years. Furthermore, our findings show that gender differences vary among STEM courses, in accordance with the care-oriented and technical-oriented dichotomy. Males outperform females in mathematics, physics, chemistry and computer science, while females are slightly better than males in biology. In engineering, female performance seems to follow the male stream. Finally, accounting for other important covariates regarding students, we point out the importance of high school background and students’ demographic characteristics.


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