Language in science performance: do good readers perform better?

European Journal of Psychology of Education - Science performance is highly affected by students’ reading comprehension. Recently, there has been a growing attention to the role of linguistic...     

Do migrant girls perform better than migrant boys? Deviant gender differences between the reading scores of 15-year-old children of migrants compared to native pupils

In this paper, we analyse the gender differences between the educational performance of 15-year-old children of migrants from specific regions of origin countries living in different destination countries with the Programme for International Student Assessment (PISA) 2009 wave. We study whether this gender difference of migrant pupils deviates from the gender difference between the native pupils in their destination country. We analyse the educational performance of 16,612 daughters and 16,804 sons of migrants in destination countries across Asia, Europe, Latin America, and Oceania. We distinguish 62 origin countries and 12 origin areas in 30 destination countries. Female migrant pupils have both higher reading and math scores than comparable male migrant pupils, and these gender differences among migrant pupils are larger than among comparable native pupils. Parental socioeconomic background has an equal effect on the educational performance of daughters of migrants and on that of sons of migrants. The variation in educational performance by region of origin is, however, not clearly related to the poverty or traditionalism of regions.     

Do men and women perform academic work differently?

Tertiary Education and Management - Why is the gender gap so large in researchers’ career progression? Do men and women have different priorities in their academic careers? This study...     

Confidence: A better predictor of academic achievement than self-efficacy,self-concept and anxiety?

In this paper we report the results from a study that assessed confidence together with scales measuring self-belief – i.e., self-efficacy, different kinds of self-concepts, and anxiety – among the 15-year old students from Singapore. A distinct confidence factor was identified in the domains of mathematics (N = 1940) and English (N = 1786). Our results show that confidence is: a) a robust individual differences dimension; b) that can be combined with accuracy information to obtain bias scores that may be useful for group comparisons and for identification of misconceptions about particular topics. Confidence as studied in our work to date has been c) the best predictor of achievement in both mathematics and English; d) is related to both cognitive and self-belief measures; and e) it captures much of the predictive variance of other self-beliefs that are, in turn, among the best known predictors of achievement.     

Do certain groups of children profit from a grade retention?

As more children are being held back a grade as a result of tougher academic standards, the practice of retention and its effects was studied in two Utah school districts. Retention was not found to benefit the children academically or in personal or social adjustment. The purpose of this article is to further analyze the data in order to study retention effects for subgroups of children commonly believed to profit from being retained. In this reanalysis, three independent variables were added in order to address the following questions: (a) Is retention beneficial for children if supplementary academic instruction is provided? (b) Is retention beneficial if the children are average or above in intelligence? (c) Also, is retention beneficial if it occurs in kindergarten or 1st grade? Retention was not found to benefit these subgroups of children.     

Scientific Research: Commodities or Commons?

Truth is for sale today, some critics claim. The increased commodification of science corrupts it, scientific fraud is rampant and the age-old trust in science is shattered. This cynical view, although gaining in prominence, does not explain very well the surprising motivation and integrity that is still central to the scientific life. Although scientific knowledge becomes more and more treated as a commodity or as a product that is for sale, a central part of academic scientific practice is still organized according to different principles. In this paper, I critically analyze alternative models for understanding the organization of knowledge, such as the idea of the scientific commons and the gift economy of science. After weighing the diverse positive and negative aspects of free market economies of science and gift economies of science, a commons structured as a gift economy seems best suited to preserve and take advantage of the specific character of scientific knowledge. Furthermore, commons and gift economies promote the rich social texture that is important for supporting central norms of science. Some of these basic norms might break down if the gift character of science is lost. To conclude, I consider the possibility and desirability of hybrid economies of academic science, which combine aspects of gift economies and free market economies. The aim of this paper is to gain a better understanding of these deeper structural challenges faced by science policy. Such theoretical reflections should eventually assist us in formulating new policy guidelines.     

Assessing Scientific Practices Using Machine-Learning Methods: How Closely Do They Match Clinical Interview Performance?

The landscape of science education is being transformed by the new Framework for Science Education (National Research Council, A framework for K-12 science education: practices, crosscutting concepts, and core ideas. The National Academies Press, Washington, DC, 2012), which emphasizes the centrality of scientific practices—such as explanation, argumentation, and communication—in science teaching, learning, and assessment. A major challenge facing the field of science education is developing assessment tools that are capable of validly and efficiently evaluating these practices. Our study examined the efficacy of a free, open-source machine-learning tool for evaluating the quality of students’ written explanations of the causes of evolutionary change relative to three other approaches: (1) human-scored written explanations, (2) a multiple-choice test, and (3) clinical oral interviews. A large sample of undergraduates (n = 104) exposed to varying amounts of evolution content completed all three assessments: a clinical oral interview, a written open-response assessment, and a multiple-choice test. Rasch analysis was used to compute linear person measures and linear item measures on a single logit scale. We found that the multiple-choice test displayed poor person and item fit (mean square outfit >1.3), while both oral interview measures and computer-generated written response measures exhibited acceptable fit (average mean square outfit for interview: person 0.97, item 0.97; computer: person 1.03, item 1.06). Multiple-choice test measures were more weakly associated with interview measures (r = 0.35) than the computer-scored explanation measures (r = 0.63). Overall, Rasch analysis indicated that computer-scored written explanation measures (1) have the strongest correspondence to oral interview measures; (2) are capable of capturing students’ normative scientific and naive ideas as accurately as human-scored explanations, and (3) more validly detect understanding than the multiple-choice assessment. These findings demonstrate the great potential of machine-learning tools for assessing key scientific practices highlighted in the new Framework for Science Education.     

Do Students' Religion and School Absences Moderate the Effect of Ethnic Stereotypes on School-Placement Recommendations?

The results of two experiments demonstrate that preservice teachers made biased school-placement recommendations depending on student's ethnicity, which on average penalized students from an ethnic minority. Moreover, additional information that was supposed to disconfirm ethnic stereotypes (religious affiliation in Experiment 1, number of missed school days in Experiment 2) led to more high-track recommendations for low-achieving minority students and to fewer high-track recommendations for high-achieving minority students. Conversely, stereotype-disconfirming information exerted little or no influence on the recommendations for high-achieving native students but worsened recommendations for low-achieving students. The results were interpreted as being based either on subtyping (predominantly for minority Turkish students) or subgrouping (predominantly for majority German students) of ethnic stereotypes.     

Do you think environment protection is more important than economic construction ?Why?

林启锴深圳市汇龙花园It's difficult to tell whether environment protection is more important than economic construction. I think the two issues are equally important, but a good environment is essential to economic construction.     

Students' engagement in a science classroom: Does knowledge diversity matter?

Knowledge diversity describes group members' differences in terms of prior knowledge in a domain. The purpose of the study was to investigate whether knowledge diversity would impact students' engagement in small-group learning in a science classroom. A total of 45 seventh-grade students were recruited to participate in the study in which two experimental conditions were compared: low-prior-knowledge groups (all low-prior-knowledge students) versus mixed knowledge groups (low-prior-knowledge students with one knowledgeable student). Participates were randomly assigned into six low-prior-knowledge groups (24 individuals in total) and five mixed knowledge groups (21 individuals in total). Engagement, as well as group performance, was measured. The results of a series of independent-samples t test demonstrated that the mixed knowledge groups had significantly higher behavioral, emotional, and social engagement and better group performance than did the low-prior-knowledge groups. This implies that even having one knowledgeable student could enhance students' engagement in a science classroom.     

Factors affecting school choice: What do Malaysian Chinese parents want?

Aiming to explore factors affecting Malaysian Chinese parents in sending their children to either national secondary schools or Chinese independent schools, 494 parents were surveyed using a questionnaire. Results showed that parents who sent their children to Chinese independent schools have different priorities compared to those who sent theirs to national secondary schools—the former are concerned with teachers’ quality, chances of learning the Chinese culture and Mandarin while the latter are concerned with tuition fees and strategic location. In general, the finding that Malaysian Chinese parents take cultural and language factors into account when choosing a suitable school for their children is interesting because both are seldom listed as important.     

Do individuals with autism process categories differently? The effect of typicality and development

This study examined the effect of exemplar typicality on reaction time and accuracy of categorization. High-functioning children (age 9-12), adolescents (age 13-16), and adults with autism (age 17-48) and matched controls were tested in a category verification procedure. All groups showed improved processing throughout the lifespan for typical and somewhat typical category exemplars. However, individuals with autism responded more slowly than matched controls to atypical exemplars at all ages. The results are discussed in terms of potential differences in the type of processing that may be required for categorizing typical and atypical category exemplars. Parallels are also drawn to the results of previous studies on face processing in individuals with autism.     

Are males always better than females in mental rotation? Exploring a gender belief explanation

Males outperform females in the Mental Rotation Test (MRT) for biological, strategic and cultural reasons. The present research tested a motivational explanation with the hypothesis that females could do better when induced to have positive beliefs and expectations. All-female and all-male samples were divided into six groups, each having listened to different instructions: 1. men are better than women at this task; 2. women are better than men; 3. control instructions with no gender reference. Each group was further allocated to either the easy or the difficult task expectations condition. Experimental manipulation affected performance differently in relation to gender. Women's performance was affected by positive instructions about gender. Men were affected by instructions about the task difficulty. Women improved performance and reached men's scores in the MRT when they were led to believe they were better than men.