The current study explored individual and gendered differences in Black students’ motivation for learning mathematics using three key Situated Expectancy-Value Theory (SEVT) constructs ... Show moreThe current study explored individual and gendered differences in Black students’ motivation for learning mathematics using three key Situated Expectancy-Value Theory (SEVT) constructs (expectancies of success, interest, and importance). It also evaluated whether math motivational profiles in 6th grade or 10th grade predicted math achievement and STEM career aspirations in 10th grade among Black students while controlling for prior math achievement. Black students (n = 408, 55% female) attending schools in a metropolitan area of Tennessee, USA and mostly from families surviving economic marginalization completed surveys and math achievement assessments across middle and high school. Latent Profile Analysis identified three profiles of math motivation in 6th grade, including a profile of high motivation across constructs, and Black girls were less likely to be in the high motivational profile than Black boys. Profile membership in 6th grade predicted 10th grade math achievement. In contrast, math motivation profiles in 6th grade did not predict STEM career aspirations in 10th grade. Parallel analyses for concurrent relations in 10th grade were similar, except that there were no gender differences in profile prevalence. Overall, findings suggest that SEVT is useful for understanding motivation and academic performance among Black students when a person-centered analytic approach is used, but more work is needed to expand the theory to understand the development of Black students’ STEM career aspirations. Show less
Emilie Prast en Marian Hickendorff van de Universiteit Leiden verdiepen in hun keynote het thema differentiatie vanuit een meer vakdidactische insteek. Vertrekkend vanuit algemene principes van... Show moreEmilie Prast en Marian Hickendorff van de Universiteit Leiden verdiepen in hun keynote het thema differentiatie vanuit een meer vakdidactische insteek. Vertrekkend vanuit algemene principes van differentiatie voor verschillende doelgroepen zoomen zij in op differentiatie voor sterke rekenaars. Je krijgt inzicht in het belang van differentiatie voor sterke rekenaars, manieren waarop in de praktijk al wordt gedifferentieerd voor deze groep, en kansen om differentiatie voor sterke rekenaars te verbeteren. Daarbij krijg je tips om je rekenonderwijs systematisch af te stemmen op de onderwijsbehoeften van deze groep leerlingen. Show less
Fractions are an important but notoriously difficult domain in mathematics education. Situating fraction arithmetic problems in a realistic setting might help students overcome their difficulties... Show moreFractions are an important but notoriously difficult domain in mathematics education. Situating fraction arithmetic problems in a realistic setting might help students overcome their difficulties by making fraction arithmetic less abstract. The current study therefore investigated to what extent students (106 sixth graders, 187 seventh graders, and 192 eighth graders) perform better on fraction arithmetic problems presented as word problems compared to these problems presented symbolically. Results showed that in multiplication of a fraction with a whole number and in all types of fraction division, word problems were easier than their symbolic counterparts. However, in addition, subtraction, and multiplication of two fractions, symbolic problems were easier. There were no performance differences by students’ grade, but higher conceptual fraction knowledge was associated with higher fraction arithmetic performance. Taken together this study showed that situating fraction arithmetic in a realistic setting may support or hinder performance, dependent on the problem demands. Show less
Adapting education to students’ diverse educational needs is widely recognised as an important, but also complex aspect of effective teaching. In this chapter, we provide insight into how Dutch... Show moreAdapting education to students’ diverse educational needs is widely recognised as an important, but also complex aspect of effective teaching. In this chapter, we provide insight into how Dutch primary school teachers implement differentiation based on students’ current mathematics achievement level. We review evidence from four independent samples in which the same teacher self-assessment questionnaire was administered (N = 907 teachers in total), supplemented with qualitative data from various perspectives: external observers, students, and teachers. Based on these sources of information, we identify the following general patterns. Teachers generally implement achievement-based differentiation at least to some extent. That is, student achievement is monitored, and efforts are taken to adapt instruction or practice to students’ current achievement level. This is often organised using within-class homogeneous achievement groups. While low-achieving students regularly receive additional instruction, specific instruction for high-achieving students is uncommon. Refined, qualitative strategies to diagnose students’ individual educational needs and to adapt education to these individual needs are also used relatively infrequently. These relatively infrequently used strategies point to areas for improvement. Furthermore, the flexibility of within-class achievement groups seems to vary and deserves more attention in future research and practice. Show less
