Media neglect of Indigenous student performance in the Programme for International Student Assessment (PISA) 2001–2015

2019 ◽  
pp. 1-11
Author(s):  
Edward Rock Davis ◽  
Rachel Wilson ◽  
John Robert Evans
Keyword(s):  
Student Performance ◽  
Media Coverage ◽  
International Student ◽  
Student Assessment ◽  
Indigenous Australians ◽  
Indigenous Students ◽  
Mainstream Media ◽  
International Student Assessment ◽  
Critical Commentary ◽  
Media Reports

AbstractThis research explores media reporting of Indigenous students’ Programme for International Student Assessment (PISA) results in two national and 11 metropolitan Australian newspapers from 2001 to 2015. Of almost 300 articles on PISA, only 10 focused on reporting of Indigenous PISA results. While general or non-Indigenous PISA results featured in media reports, especially at the time of the publication of PISA results, there was overwhelming neglect of Indigenous results and the performance gap. A thematic analysis of articles showed mainstream PISA reporting had critical commentary which is not found in the Indigenous PISA articles. The three themes identified include: a lack of teacher quality in remote and rural schools; the debate on Gonski funding recommendations and the PISA achievement gap between Indigenous and non-Indigenous students. This study concluded the overwhelming neglect is linked to media bias, which continues to drive mainstream media coverage of Indigenous Australians.

scholarly journals Assessment Background: What PISA Measures and How

2020 ◽  
pp. 249-263
Author(s):  
Luisa Araújo ◽  
Patrícia Costa ◽  
Nuno Crato
Keyword(s):  
Student Performance ◽  
Large Scale ◽  
International Student ◽  
Student Assessment ◽  
Short Description ◽  
School Characteristics ◽  
Technical Aspects ◽  
Performance Levels ◽  
International Student Assessment ◽  
Large Scale Assessments

AbstractThis chapter provides a short description of what the Programme for International Student Assessment (PISA) measures and how it measures it. First, it details the concepts associated with the measurement of student performance and the concepts associated with capturing student and school characteristics and explains how they compare with some other International Large-Scale Assessments (ILSA). Second, it provides information on the assessment of reading, the main domain in PISA 2018. Third, it provides information on the technical aspects of the measurements in PISA. Lastly, it offers specific examples of PISA 2018 cognitive items, corresponding domains (mathematics, science, and reading), and related performance levels.

Teacher Behaviours Explaining Turkish and Dutch Students’ Mathematic Achievements

2017 ◽  
Vol 6 (2) ◽  
pp. 174
Author(s):  
Seher Yalcın
Keyword(s):  
The Netherlands ◽  
Formative Assessment ◽  
Student Performance ◽  
International Student ◽  
Latent Class ◽  
Student Assessment ◽  
Teacher Behavior ◽  
Student Orientation ◽  
International Student Assessment ◽  
High Level

The purpose of this study was to examine the differences between Turkish and Dutch students’ mathematics achievement and to examine the predictive level of teacher behaviours for student performance. The participants were 3210 students and principals from 168 schools in Turkey and 2541 students and principals from 156 schools in the Netherlands, who attended the Program for International Student Assessment in 2012. According to the results of the multilevel latent class and three-step analyses, for both countries, teacher behavior related to student orientation, teacher focus on student achievement and formative assessment predicted the mathematical achievement. It is seen that a high level of teacher behavior related to student orientation and formative assessment plays an important role in schools’ achievement at very low, low, and low-medium levels for Turkey and at medium and medium-high levels for the Netherlands. Furthermore, it was determined that the students who had low- or medium-level achievement were more affected by teacher characteristics/behaviours.

A case of being the same? Australia and New Zealand’s reading in focus

2020 ◽  
Vol 64 (3) ◽  
pp. 243-263
Author(s):  
Megan C. Chamberlain ◽  
Emma J. Medina
Keyword(s):  
Sense Of Belonging ◽  
International Student ◽  
Contextual Information ◽  
Student Assessment ◽  
Reading Performance ◽  
Reading Literacy ◽  
Indigenous Students ◽  
Primary Schooling ◽  
International Student Assessment ◽  
Educational Challenges

Australia and New Zealand have participated in the Organisation for Economic Co-operation and Development’s Programme for International Student Assessment since 2000. Reading literacy was the main focus of the Programme for International Student Assessment in 2000, and at that time both countries’ students generally performed well above the Organisation for Economic Co-operation and Development average. Nearly 20 years later, in the latest cycle of the Programme for International Student Assessment in 2018, reading literacy was again the main focus. Students’ average reading performance has tracked down in both countries. Large inequities persist between socio-economically advantaged and disadvantaged students, indigenous and non-indigenous students, and genders. The Programme for International Student Assessment gathers a wealth of contextual information that highlights key educational challenges facing both countries, including poor disciplinary climates, declining attitudes towards reading and sense of belonging at school, and increasing bullying. While there are similarities among the two countries’ 15-year-olds, evidence shows practices are diverging at the middle primary schooling level, which may be impacting positively on younger Australian cohorts; these differences are also discussed with respect to early reading experiences.

Comparative analysis of student performance in collaborative problem solving: What does it tell us?

2020 ◽  
Vol 64 (3) ◽  
pp. 282-303
Author(s):  
Claire Scoular ◽  
Sofia Eleftheriadou ◽  
Dara Ramalingam ◽  
Dan Cloney
Keyword(s):  
Problem Solving ◽  
Student Performance ◽  
International Student ◽  
Student Assessment ◽  
Collaborative Problem Solving ◽  
Policy Makers ◽  
International Student Assessment ◽  
Collaborative Problem ◽  
Complex Skill ◽  
Computer Based

Collaboration is a complex skill, comprised of multiple subskills, that is of growing interest to policy makers, educators and researchers. Several definitions and frameworks have been described in the literature to support assessment of collaboration; however, the inherent structure of the construct still needs better definition. In 2015, the Organisation for Economic Cooperation and Development, in their Programme for International Student Assessment assessed 15-year-old students’ collaborative problem solving achievement, with the use of computer-simulated agents, aiming to address the lack of internationally comparable data in this field. This paper explores what the data from this assessment tell us about the skill, and how these data compare with data from two other assessments of collaboration. Analyses enable comment on the extent to which the three assessments are measuring the same construct, and the extent to which the construct can be covered using computer-based assessments. These investigations generate better understanding of this complex and innovative domain.

scholarly journals Mathematics Literacy: An Australian Perspective and Experience

2017 ◽  
Vol 7 (1) ◽  
pp. 31-42
Author(s):  
Allan Leslie White
Keyword(s):  
Great Britain ◽  
Student Performance ◽  
International Student ◽  
Student Assessment ◽  
The United States ◽  
Population Diversity ◽  
Mathematical Literacy ◽  
International Student Assessment ◽  
Different Types ◽  
Policies And Programs

A brief listing of five different types of mathematical literacy is provided. The definition used by the Program for International Student Assessment (PISA) is selected and some brief remarks are provided on this program. The performance of Australian students is examined which shows that at the beginning of the new century 2000, Australian educators were feeling comfortable and reasonably satisfied with student performance but by 2016there was great concern over a consistent decline. The reasons for this decline are briefly discussed with the focus on Australian governmental policies that followed the directions of reform in the United States and Great Britain, and what has been labelled GERM. Current policies have been tried and failed and it is time to look for alternatives. While it is not wise to just copy the programs and policies of another country rather than adapt them due to differences in culture, population diversity, and other factors, nevertheless countries such as Finland can offer alternative paths to be explored. In Australia’s case it would also seem to be unwise to adopt policies and programs of countries who perform worse than it.

scholarly journals Hogging the middle lane: How student performance heterogeneity leads Turkish schools to fail in PISA?

2018 ◽  
Vol 13 (2) ◽  
pp. 201-213 ◽  
Author(s):  
Sengul Uysal ◽  
Koksal Banoglu
Keyword(s):  
Mathematics Achievement ◽  
Student Performance ◽  
International Student ◽  
School Achievement ◽  
Student Assessment ◽  
Related Factors ◽  
Independent Variables ◽  
International Student Assessment ◽  
Interaction Detection ◽  
Detection Analysis

This study aims to analyse the relationship between students’ mathematics achievement in Programme for International Student Assessment (PISA) 2012 and the instructional climate-related factors in the index of principals’ perceptions (learning hindrance, teacher morale and teacher intention). As preliminary analysis procedure, the chi-squared automatic interaction detection analysis was performed with relevant independent variables. Teacher’s achievement expectation from students and achievement-oriented behaviours were other significant predictive indicators on PISA mathematics achievement. Based upon these independent variables and standard deviation estimates of PISA mathematics scores, the present research developed a theoretical model by means of confirmatory factor analysis, explaining how students’ PISA mathematics achievement is associated with classroom and within school homogeneity through teachers’ expectation and achievementoriented behaviours. Results showed that the developed model provided a great model-data fit. This model revealed that classroom achievement homogeneity and within school achievement homogeneity were the most important predictors on students’ PISA mathematics achievement. Keywords: PISA, CHAID, mathematics, homogeneity.  

Three Paradoxical Effects on Academic Self-Concept Across Countries, Schools, and Students

2019 ◽  
Vol 24 (3) ◽  
pp. 231-242 ◽  
Author(s):  
Herbert W. Marsh ◽  
Philip D. Parker ◽  
Reinhard Pekrun
Keyword(s):  
International Student ◽  
Student Assessment ◽  
Cross Cultural ◽  
Frame Of Reference ◽  
School Level ◽  
Self Concept ◽  
Positive Effects ◽  
International Student Assessment ◽  
Country Level ◽  
Starting School

Abstract. We simultaneously resolve three paradoxes in academic self-concept research with a single unifying meta-theoretical model based on frame-of-reference effects across 68 countries, 18,292 schools, and 485,490 15-year-old students. Paradoxically, but consistent with predictions, effects on math self-concepts were negative for: • being from countries where country-average achievement was high; explaining the paradoxical cross-cultural self-concept effect; • attending schools where school-average achievement was high; demonstrating big-fish-little-pond-effects (BFLPE) that generalized over 68 countries, Organisation for Economic Co-operation and Development (OECD)/non-OECD countries, high/low achieving schools, and high/low achieving students; • year-in-school relative to age; unifying different research literatures for associated negative effects for starting school at a younger age and acceleration/skipping grades, and positive effects for starting school at an older age (“academic red shirting”) and, paradoxically, even for repeating a grade. Contextual effects matter, resulting in significant and meaningful effects on self-beliefs, not only at the student (year in school) and local school level (BFLPE), but remarkably even at the macro-contextual country-level. Finally, we juxtapose cross-cultural generalizability based on Programme for International Student Assessment (PISA) data used here with generalizability based on meta-analyses, arguing that although the two approaches are similar in many ways, the generalizability shown here is stronger in terms of support for the universality of the frame-of-reference effects.

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.

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