Abstract:To understand misconceptions with rational numbers (i.e., fractions, decimals, and percentages), we administered an assessment of rational numbers to 331 undergraduate students from a 4-year university. The assessment included 41 items categorized as measuring foundational understanding, calculations, or word problems. We coded each student's response and identified error patterns for items answered incorrectly. Students attempted foundational understanding and calculations problems more often than word proble… Show more
“…Students may have difficulty in learning fraction knowledge because they need to restructure their whole number understanding to accommodate new information about rational numbers (see reviews by Ni & Zhou, 2005; Siegler & Lortie-Forgues, 2017). Misconceptions about fractions can arise even when whole number knowledge is sufficient because principles and rules that apply to natural numbers are different from those that apply to fractions (Powell & Nelson, 2021; Stafylidou & Vosniadou, 2004; Vosniadou et al, 2008). Ultimately, integrating whole number and rational number skills will support students’ learning of more advanced mathematical constructs, such as algebra (Barbieri et al, 2021; Booth & Newton, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…For example, students who struggled when they were learning basic arithmetic will continue to face challenges when learning more complex mathematics (Empson et al, 2011). Research shows that some adults do not master arithmetic (LeFevre et al, 2017;Thompson et al, 2015) or rational number skills (Powell & Nelson, 2021), despite the importance of an understanding of the conceptual continuity from whole number arithmetic to rational numbers (Siegler, 2016;Siegler & Braithwaite, 2017). The fundamental properties of arithmetic operations and fractions form the foundations of algebra (Empson et al, 2011;Hackenberg, 2013;Mack, 1993;Nunes et al, 2016;Steffe & Olive, 2010;Thompson & Saldanha, 2003) because algebra is a more abstract, generalized version of arithmetic.…”
Section: Interpretations Of the Present Findingsmentioning
confidence: 99%
“…Although these skills are all introduced to students before high school and the hierarchy is developed through years of experience with mathematics, there is evidence to suggest that the hierarchy is preserved among skilled adults. For example, university students show considerable variability in their mastery at all levels: cardinal (Maloney et al, 2011), ordinal (Lyons & Beilock, 2011), basic arithmetic (LeFevre et al, 2015), fractions (Powell & Nelson, 2021), and algebra (Cirino et al, 2016; Douglas et al, 2020). Thus, individual differences at each level of the hierarchy and the use of foundational skills, such as arithmetic, to solve more complex mathematical problems lead us to believe that the hierarchy is maintained in adulthood.…”
Mathematical competencies can be conceptualized as layers of knowledge, with numeracy skills as the foundational core and more complex mathematical skills as the additional layers over the core. In this study, we tested an expanded hierarchical symbol integration (HSI) model by examining the hierarchical relations among mathematical skills. Undergraduate students (N = 236) completed order judgement, simple arithmetic, fraction arithmetic, algebra, and verbal working memory tasks. In a series of hierarchical multiple regressions, we found support for the hierarchical model: Additive skills (i.e., addition and subtraction) predicted unique variance in multiplicative skills (i.e., multiplication and division); multiplicative skills predicted unique variance in fraction arithmetic; and fraction skills predicted unique variance in algebra. These results support the framework of the HSI model in which mathematical competencies are related hierarchically, capturing the increasing complexity of symbolic mathematical skills.
“…Students may have difficulty in learning fraction knowledge because they need to restructure their whole number understanding to accommodate new information about rational numbers (see reviews by Ni & Zhou, 2005; Siegler & Lortie-Forgues, 2017). Misconceptions about fractions can arise even when whole number knowledge is sufficient because principles and rules that apply to natural numbers are different from those that apply to fractions (Powell & Nelson, 2021; Stafylidou & Vosniadou, 2004; Vosniadou et al, 2008). Ultimately, integrating whole number and rational number skills will support students’ learning of more advanced mathematical constructs, such as algebra (Barbieri et al, 2021; Booth & Newton, 2012).…”
Section: Discussionmentioning
confidence: 99%
“…For example, students who struggled when they were learning basic arithmetic will continue to face challenges when learning more complex mathematics (Empson et al, 2011). Research shows that some adults do not master arithmetic (LeFevre et al, 2017;Thompson et al, 2015) or rational number skills (Powell & Nelson, 2021), despite the importance of an understanding of the conceptual continuity from whole number arithmetic to rational numbers (Siegler, 2016;Siegler & Braithwaite, 2017). The fundamental properties of arithmetic operations and fractions form the foundations of algebra (Empson et al, 2011;Hackenberg, 2013;Mack, 1993;Nunes et al, 2016;Steffe & Olive, 2010;Thompson & Saldanha, 2003) because algebra is a more abstract, generalized version of arithmetic.…”
Section: Interpretations Of the Present Findingsmentioning
confidence: 99%
“…Although these skills are all introduced to students before high school and the hierarchy is developed through years of experience with mathematics, there is evidence to suggest that the hierarchy is preserved among skilled adults. For example, university students show considerable variability in their mastery at all levels: cardinal (Maloney et al, 2011), ordinal (Lyons & Beilock, 2011), basic arithmetic (LeFevre et al, 2015), fractions (Powell & Nelson, 2021), and algebra (Cirino et al, 2016; Douglas et al, 2020). Thus, individual differences at each level of the hierarchy and the use of foundational skills, such as arithmetic, to solve more complex mathematical problems lead us to believe that the hierarchy is maintained in adulthood.…”
Mathematical competencies can be conceptualized as layers of knowledge, with numeracy skills as the foundational core and more complex mathematical skills as the additional layers over the core. In this study, we tested an expanded hierarchical symbol integration (HSI) model by examining the hierarchical relations among mathematical skills. Undergraduate students (N = 236) completed order judgement, simple arithmetic, fraction arithmetic, algebra, and verbal working memory tasks. In a series of hierarchical multiple regressions, we found support for the hierarchical model: Additive skills (i.e., addition and subtraction) predicted unique variance in multiplicative skills (i.e., multiplication and division); multiplicative skills predicted unique variance in fraction arithmetic; and fraction skills predicted unique variance in algebra. These results support the framework of the HSI model in which mathematical competencies are related hierarchically, capturing the increasing complexity of symbolic mathematical skills.
“…Malaysian students' poor performance in algebra has been a growing concern (Teoh et al, 2020;Ying et al, 2020), but not unsurprising as research has shown that the learning of algebra is considered challenging among many students in many learning environments, even among students with positive attitudes (Poçan et al, 2023). Students' problems in algebra, such as rational numbers, arithmetic, and word problems need to be resolved as these concepts are fundamental to university mathematics (Powell & Nelson, 2021). Hence, secondary school students' algebra proficiency needs to be carefully monitored and developed (Anderson, 2021) to equip them with mathematical skills for advanced learning at tertiary level, in particular among those planning to pursue STEM careers.…”
Learning algebra is a difficult process that necessitates a positive attitude in order to maintain interest and master key concepts. Previous research found that students' attitudes influenced their algebra learning. As a result, more input is required to observe the current influence of attitudes on algebra learning. This study aims to investigate secondary school students’ levels of proficiency and attitudes towards learning algebra. A case study was employed to collect data using an algebra test, a questionnaire on attitude, and task-based interviews. The subjects of this study were Form Three and Form Four students who were in the Dual Language Programme (DLP) in a school in Malaysia. A total of 93 students volunteered to participate in this study, and three of them were interviewed for insights into solving algebra problems. This study revealed that (1) there was no significant difference in algebra achievement between the Form Three and Form Four students; (2) there was a negative correlation between the achievement and attitudes; and (3) the students displayed rather low proficiency in answering the test questions, which could be attributed to difficulties with comprehension of problems in algebra and inadequate reasoning when applying problem solving strategies. These findings have implications for developing positive attitudes towards the learning of algebra. It is recommended that educators look into these areas to equip students with the right attitudes and knowledge for advanced learning at university.
“…However, the study of myths is not limited to behavioral science. The prevalence of myths has been studied in fields such as Education ( Ferrero, Garaizar & Vadillo, 2016 ), Medicine ( Kaufman et al, 2013 ) or public health policies ( Viehbeck, Petticrew & Cummins, 2015 ), as well as in science as a knowledge system ( McComas, 1996 ), and the practical consequences that they entail, such as those caused by the myths of mathematics in their students ( Powell & Nelson, 2021 ).…”
Myths in Psychology are beliefs that are widely spread and inconsistent with the empirical evidence available within this field of knowledge. They are characterized by being relatively stable, resistant to change, and prevalent both among the non-academic population and among students and professionals within this discipline. The aim of this study was to analyse the prevalence of these myths among Spanish psychology students and the influence of three variables: the type of university, face-to-face (UAM) and online (UNED), the academic year in which participants were enrolled and familiarity with scientific dissemination. Results show that participants from the face-to-face university, enrolled in higher academic years and that reports familiarity with scientific dissemination believe less in myths than those from the online university, enrolled in lower years and that report no familiarity with scientific dissemination.
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