Mathematical anxiety

Last updated

Mathematical anxiety, also known as math phobia, is a feeling of tension and anxiety that interferes with the manipulation of numbers and the solving of mathematical problems in daily life and academic situations. [1]

Contents

Math anxiety

Mark H. Ashcraft defines math anxiety as "a feeling of tension, apprehension, or fear that interferes with math performance" (2002, p. 1). [2] It is a phenomenon that is often considered when examining students' problems in mathematics. According to the American Psychological Association, mathematical anxiety is often linked to testing anxiety. This anxiety can cause distress and likely causes a dislike and avoidance of all math-related tasks. The academic study of math anxiety originates as early as the 1950s, when Mary Fides Gough introduced the term mathemaphobia to describe the phobia-like feelings of many towards mathematics. [3] The first math anxiety measurement scale was developed by Richardson and Suinn in 1972. [4] Since this development, several researchers have examined math anxiety in empirical studies. [2] Hembree [5] (1990) conducted a meta-analysis of 151 studies concerning math anxiety. The study determined that math anxiety is related to poor math performance on math achievement tests and to negative attitudes concerning math. Hembree also suggests that math anxiety is directly connected with math avoidance.

Ashcraft [2] (2002) suggests that highly anxious math students will avoid situations in which they have to perform mathematical tasks. Unfortunately, math avoidance results in less competency, exposure and math practice, leaving students more anxious and mathematically unprepared to achieve. In college and university, anxious math students take fewer math courses and tend to feel negative toward the subject. In fact, Ashcraft found that the correlation between math anxiety and variables such as self-confidence and motivation in math is strongly negative.

According to Schar, [6] because math anxiety can cause math avoidance, an empirical dilemma arises. For instance, when a highly math-anxious student performs disappointingly on a math question, it could be due to math anxiety or the lack of competency in math because of math avoidance. Ashcraft determined that by administering a test that becomes increasingly more mathematically challenging, he noticed that even highly math-anxious individuals do well on the first portion of the test measuring performance. However, on the latter and more difficult portion of the test, there was a stronger negative relationship between accuracy and math anxiety.

According to the research found at the University of Chicago by Sian Beilock and her group, math anxiety is not simply about being bad at math. After using brain scans, scholars confirmed that the anticipation or the thought of solving math actually causes math anxiety. The brain scans showed that the area of the brain that is triggered when someone has math anxiety overlaps the same area of the brain where bodily harm is registered. [7] And Trezise and Reeve [8] [9] show that students' math anxiety can fluctuate throughout the duration of a math class.

Performance

The impact of mathematics anxiety on mathematics performance has been studied in more recent literature. An individual with math anxiety does not necessarily lack ability in mathematics, rather, they cannot perform to their full potential due to the interfering symptoms of their anxiety. [10] Math anxiety manifests itself in a variety of ways, including physical, psychological, and behavioral symptoms, that can all disrupt a student's mathematical performance. [11] The strong negative correlation between high math anxiety and low achievement is often thought to be due to the impact of math anxiety on working memory. Working memory has a limited capacity. A large portion of this capacity is dedicated to problem-solving when solving mathematical tasks. However, in individuals with math anxiety, much of this space is taken up by anxious thoughts, thus compromising the individual's ability to perform. [12] In addition, a frequent reliance in schools on high-stakes and timed testing, where students tend to feel the most anxiety, can lead to lower achievement for math-anxious individuals. [13] Programme for International Student Assessment (PISA) results demonstrate that students experiencing high math anxiety demonstrate mathematics scores that are 34 points lower than students who do not have math anxiety, equivalent to one full year of school. [14] Besides, researchers Elisa Cargnelutti et al show that the influence of mathematical anxiety on math-related performance increases over time due to the accumulation of passive experience in the subject or other factors like more requirements on mathematics as children grow up. [15] These findings demonstrate the clear link between math anxiety and reduced levels of achievement, suggesting that alleviating math anxiety may lead to a marked improvement in student achievement.

Anxiety rating scale

A rating scale for mathematics anxiety was developed in 1972 by Richardson and Suinn. [16] Richardson and Suinn defined mathematical anxiety as "feelings of apprehension and tension concerning manipulation of numbers and completion of mathematical problems in various contexts". [17] Richardson and Suinn introduced the MARS (Mathematics Anxiety Rating Scale) in 1972. Elevated scores on the MARS test translate to high math anxiety. The authors presented the normative data, including a mean score of 215.38 with a standard deviation of 65.29, collected from 397 students that replied to an advertisement for behavior therapy treatment for math anxiety. [18] For test-retest reliability, the Pearson product-moment coefficient was used and a score of 0.85 was calculated, which was favorable and comparable to scores found on other anxiety tests. Richardson and Suinn validated the construct of this test by sharing previous results from three other studies that were very similar to the results achieved in this study. They also administered the Differential Aptitude Test, a 10-minute math test including simple to complex problems.

Calculation of the Pearson product-moment correlation coefficient between the MARS test and Differential Aptitude Test scores was −0.64 (p < .01), indicating that higher MARS scores relate to lower math test scores and "since high anxiety interferes with performance, and poor performance produces anxiety, this result provides evidence that the MARS does measure mathematics anxiety". [19] This test was intended for use in diagnosing math anxiety, testing the efficacy of different math anxiety treatment approaches and possibly designing an anxiety hierarchy to be used in desensitization treatments. [18] The MARS test is of interest to those in counseling psychology [20] and the test is used profusely in math anxiety research. It is available in several versions of varying lengths [21] and is considered psychometrically sound. [22] Other tests are often given to measure different dimensionalities of math anxiety, such as Elizabeth Fennema and Julia Sherman's Fennema-Sherman Mathematics Attitudes Scales (FSMAS). The FSMAS evaluates nine specific domains using Likert-type scales: attitude toward success, mathematics as a male domain, mother's attitude, father's attitude, teacher's attitude, confidence in learning mathematics, mathematics anxiety, affectance motivation and mathematics usefulness. [23] Despite the introduction of newer instrumentation, the use of the MARS test appears to be the educational standard for measuring math anxiety due to its specificity and prolific use. [24] [25]

Math and culture

While there are overarching similarities concerning the acquisition of math skills, researchers have shown that children's mathematical abilities differ across countries. In Canada, students score substantially lower in math problem-solving and operations than students in Korea, India and Singapore. Researchers[ who? ] have conducted thorough comparisons between countries and determined that in some areas, such as Taiwan and Japan, parents place more emphasis on effort rather than one's innate intellectual ability in school success. By placing a higher emphasis on effort rather than one's innate intellectual ability, they are helping their child develop a growth mindset. [26] People who develop a growth mindset believe that everyone has the ability to grow their intellectual ability, learn from their mistakes, and become more resilient learners. Rather than getting stuck on a problem and giving up, students with a growth mindset try other strategies to solve the problem. A growth mindset can benefit everyone, not just people trying to solve math computations. Moreover, parents in these countries tend to set higher expectations and standards for their children. In turn, students spend more time on homework and value homework more than American children. [27]

In addition, researchers Jennifer L. Brown et al. shows that difference in level of mathematical anxiety among different countries may result from varying degrees of the courses. In the same culture, there is little difference in anxiety scale that is associated with gender, while the anxiety is more related with its type. Samples show greater degree of anxiety at subscale.

MEA (Mathematical Evaluation Anxiety) compared with LMA (Learning Mathematical Anxiety). [28]

Math and gender

Another difference in mathematic abilities often explored in research concerns gender disparities. There has been research examining gender differences in performance on standardized tests across various countries. Beller and Gafni's have shown that children at approximately nine years of age do not show consistent gender differences in relation to math skills. However, in 17 out of the 20 countries examined in this study, 13-year-old boys tended to score higher than girls. Moreover, mathematics is often labeled as a masculine ability; as a result, girls often have low confidence in their math capabilities. [29] These gender stereotypes can reinforce low confidence in girls and can cause math anxiety as research has shown that performance on standardized math tests is affected by one's confidence. [30] As a result, educators have been trying to abolish this stereotype by fostering confidence in math in all students in order to avoid math anxiety. [31]

While on the other hand, results obtained by Monika Szczygiel show that girls have a higher level of anxiety on testing and in total, although there is no gender difference in general learning math anxiety. Therefore, the gender gap in math anxiety may result from the type of anxiety. Tests triggers greater anxiety in girls compared with boys, but they feel same level of anxiety learning math. [32]

Math pedagogy

The principles of mathematics are generally understood at an early age; preschoolers can comprehend the majority of principles underlying counting. By kindergarten, it is common for children to use counting in a more sophisticated manner by adding and subtracting numbers. While kindergarteners tend to use their fingers to count, this habit is soon abandoned and replaced with a more refined and efficient strategy; children begin to perform addition and subtraction mentally at approximately six years of age. When children reach approximately eight years of age, they can retrieve answers to mathematical equations from memory. With proper instruction, most children acquire these basic mathematical skills and are able to solve more complex mathematical problems with sophisticated training. [31]

High-risk teaching styles are often explored to gain a better understanding of math anxiety. Goulding, Rowland, and Barber [33] suggest that there are linkages between a teacher's lack of subject knowledge and the ability to plan teaching material effectively. These findings suggest that teachers who do not have a sufficient background in mathematics may struggle with the development of comprehensive lesson plans for their students. Similarly, Laturner's research [34] shows that teachers with certification in math are more likely to be passionate and committed to teaching math than those without certification. However, those without certification vary in their commitment to the profession depending on coursework preparation.

A study conducted by Kawakami, Steele, Cifa, Phills, and Dovidio [35] examined attitudes towards math and behavior during math examinations. The study examined the effect of extensive training in teaching women how to approach math. The results showed that women who were trained to approach rather than avoid math showed a positive implicit attitude towards math. These findings were only consistent with women low in initial identification with math. This study was replicated with women who were either encouraged to approach math or who received neutral training. Results were consistent and demonstrated that women taught to approach math had an implicit positive attitude and completed more math problems than women taught to approach math in a neutral manner.

Johns, Schmader, and Martens [36] conducted a study in which they examined the effect of teaching stereotype threat as a means of improving women's math performance. The researchers concluded that women tended to perform worse than men when problems were described as math equations. However, women did not differ from men when the test sequence was described as problem-solving or in a condition in which they learned about stereotype threats. This research has practical implications. The results suggested that teaching students about stereotype threat could offer a practical means of reducing its detrimental effects and lead to an improvement in a girl's performance and mathematical ability, leading the researchers to conclude that educating female teachers about stereotype threat can reduce its negative effects in the classroom.

Common beliefs

According to Margaret Murray, female mathematicians in the United States have almost always been a minority. Although the exact difference fluctuates with the times, as she has explored in her book Women Becoming Mathematicians: Creating a Professional Identity in Post-World War II America, "Since 1980, women have earned over 17 percent of the mathematics doctorates.... [In The United States]". [37] The trends in gender are by no means clear, but perhaps parity is still a way to go. Since 1995, studies have shown that the gender gap favored males in most mathematical standardized testing as boys outperformed girls in 15 out of 28 countries. However, as of 2015 the gender gap has almost been reversed, showing an increase in female presence. This is being caused by women's steadily increasing performance on math and science testing and enrollment, but also by males' losing ground at the same time. This role reversal can largely be associated with the gender normative stereotypes that are found in the Science, technology, engineering, and mathematics (STEM) field, deeming "who math is for" and "who STEM careers are for". These stereotypes can fuel mathematical anxiety that is already present among young female populations. [38] Thus parity will take more work to overcome mathematical anxiety and this is one reason why women in mathematics are role models for younger women.

In schools

According to John Taylor Gatto, as expounded in several lengthy books, [39] [ page needed ] modern Western schools were deliberately[ dubious discuss ] designed during the late 19th century to create an environment which is ideal for fostering fear and anxiety, and for preventing or delaying learning. Many who are sympathetic to Gatto's thesis regard his position as unnecessarily extreme. [40] Diane Ravitch, former assistant secretary of education during the George H. W. Bush administration, agrees with Gatto up to a point, conceding that there is an element of social engineering (i.e. the manufacture of the compliant citizenry) in the construction of the American education system, [40] which prioritizes conformance over learning.

The role of attachment has been suggested as having an impact in the development of the anxiety. [41] Children with an insecure attachment style were more likely to demonstrate the anxiety.

Math used to be taught as a right and wrong subject and as if getting the right answer were paramount. In contrast to most subjects, mathematics problems almost always have a right answer but there are many ways to obtain the answer. Previously, the subject was often taught as if there were a right way to solve the problem and any other approaches would be wrong, even if students got the right answer. Thankfully, mathematics has evolved and so has teaching it. Students used to have higher anxiety because of the way math was taught. "Teachers benefit children most when they encourage them to share their thinking process and justify their answers out loud or in writing as they perform math operations. ... With less of an emphasis on right or wrong and more of an emphasis on process, teachers can help alleviate students' anxiety about math". [42]

Theoretical "solutions"

There have been many studies that show parent involvement in developing a child's educational processes is essential. A student's success in school is increased if their parents are involved in their education both at home and school. [43] As a result, one of the easiest ways to reduce math anxiety is for the parent to be more involved in their child's education. In addition, research has shown that a parent's perception on mathematics influences their child's perception and achievement in mathematics. [44]

Furthermore, studies by Herbert P. Ginsburg, Columbia University, show the influence of parents' and teachers' attitudes on "'the child's expectations in that area of learning.'... It is less the actual teaching and more the attitude and expectations of the teacher or parents that count". This is further supported by a survey of Montgomery County, Maryland students who "pointed to their parents as the primary force behind the interest in mathematics". [45]

Claudia Zaslavsky [45] contends that math has two components. The first component is to calculate the answer. This component also has two subcomponents, namely the answer and the process or method used to determine the answer. Focusing more on the process or method enables students to make mistakes, but not "fail at math". The second component is to understand the mathematical concepts that underlay the problem being studied. "... and in this respect studying mathematics is much more like studying, say, music or painting than it is like studying history or biology."

Amongst others supporting this viewpoint is the work of Eugene Geist. [46] Geist's recommendations include focusing on the concepts rather than the right answer and letting students work on their own and discuss their solutions before the answer is given.

National Council of Teachers of Mathematics (NCTM) (1989, 1995b) suggestions for teachers seeking to prevent math anxiety include:

  • Accommodating for different learning styles
  • Creating a variety of testing environments
  • Designing positive experiences in math classes
  • Refraining from tying self-esteem to success with math
  • Emphasizing that everyone makes mistakes in mathematics
  • Making math relevant
  • Letting students have some input into their own evaluations
  • Allowing for different social approaches to learning mathematics
  • Emphasizing the importance of original, quality thinking rather than rote manipulation of formulas

Hackworth [47] suggests that the following activities can help students in reducing and mitigating mathematical anxiety:

  • Discuss and write about math feelings;
  • Become acquainted with good math instruction, as well as study techniques;
  • Recognize what type of information needs to be learned;
  • Be an active learner, and create problem-solving techniques;
  • Evaluate your own learning;
  • Develop calming/positive ways to deal with fear of math, including visualization, positive messages, relaxation techniques, frustration breaks;
  • Use gradual, repeated success to build math confidence in students

B R Alimin and D B Widjajanti [48] recommend teachers:

  • Never make students embarrassed in front of the class
  • Build harmony and friendship between teachers and students
  • Give hints to students so that they can learn from mistakes
  • Encourage students not to give up when they encounter with challenges
  • Teach students to help each other working on math problem

Several studies have shown that relaxation techniques, including controlled breathing, can be used to help alleviate anxiety related to mathematics. In her workbook Conquering Math Anxiety, Cynthia Arem offers specific strategies to reduce math avoidance and anxiety. One strategy she advocates for is relaxation exercises and indicates that by practicing relaxation techniques on a regular basis for 10–20 minutes students can significantly reduce their anxiety. [49]

Dr. Edmundo Jacobson's Progressive Muscle Relaxation taken from the book Mental Toughness Training for Sports, Loehr (1986) can be used in a modified form to reduce anxiety as posted on the website HypnoGenesis. [50]

According to Mina Bazargan and Mehdi Amiri, Modular Cognitive Behavior Therapy (MCBT) can reduce the level of mathematical anxiety and increase students' self-esteem. [51]

Visualization has also been used effectively to help reduce math anxiety. Arem has a chapter that deals with reducing test anxiety and advocates the use of visualization. In her chapter titled Conquer Test Anxiety (Chapter 9) she has specific exercises devoted to visualization techniques to help the student feel calm and confident during testing. [52]

Studies have shown students learn best when they are active rather than passive learners. [53]

The theory of multiple intelligences suggests that there is a need for addressing different learning styles. Math lessons can be tailored for visual/spatial, logical/mathematics, musical, auditory, body/kinesthetic, interpersonal and intrapersonal and verbal/linguistic learning styles. This theory of learning styles has never been demonstrated to be true in controlled trials. Studies show no evidence to support tailoring lessons to an individual students learning style to be beneficial. [54]

New concepts can be taught through play acting, cooperative groups, visual aids, hands on activities or information technology. [55] To help with learning statistics, there are many applets found on the Internet that help students learn about many things from probability distributions to linear regression. These applets are commonly used in introductory statistics classes, as many students benefit from using them.[ original research? ][ who? ]

Active learners ask critical questions, such as: Why do we do it this way, and not that way? Some teachers may find these questions annoying or difficult to answer, and indeed may have been trained to respond to such questions with hostility and contempt, designed to instill fear. Better teachers respond eagerly to these questions, and use them to help the students deepen their understanding by examining alternative methods so the students can choose for themselves which method they prefer. This process can result in meaningful class discussions. Talking is the way in which students increase their understanding and command of math. [56] Teachers can give students insight as to why they learn certain content by asking students questions such as "what purpose is served by solving this problem?" and "why are we being asked to learn this?" [57]

Reflective journals help students develop metacognitive skills by having them think about their understanding. According to Pugalee, [58] writing helps students organize their thinking which helps them better understand mathematics. Moreover, writing in mathematics classes helps students problem solve and improve mathematical reasoning. When students know how to use mathematical reasoning, they are less anxious about solving problems.

Children learn best when math is taught in a way that is relevant to their everyday lives. Children enjoy experimenting. To learn mathematics in any depth, students should be engaged in exploring, conjecturing, and thinking, as well as in rote learning of rules and procedures. [59]

See also

Related Research Articles

Educational psychology is the branch of psychology concerned with the scientific study of human learning. The study of learning processes, from both cognitive and behavioral perspectives, allows researchers to understand individual differences in intelligence, cognitive development, affect, motivation, self-regulation, and self-concept, as well as their role in learning. The field of educational psychology relies heavily on quantitative methods, including testing and measurement, to enhance educational activities related to instructional design, classroom management, and assessment, which serve to facilitate learning processes in various educational settings across the lifespan.

Psychological testing refers to the administration of psychological tests. Psychological tests are administered or scored by trained evaluators. A person's responses are evaluated according to carefully prescribed guidelines. Scores are thought to reflect individual or group differences in the construct the test purports to measure. The science behind psychological testing is psychometrics.

<span class="mw-page-title-main">Standardized test</span> Test administered and scored in a predetermined, standard manner

A standardized test is a test that is administered and scored in a consistent, or "standard", manner. Standardized tests are designed in such a way that the questions and interpretations are consistent and are administered and scored in a predetermined, standard manner.

<span class="mw-page-title-main">Mathematics education</span> Teaching, learning, and scholarly research in mathematics

In contemporary education, mathematics education—known in Europe as the didactics or pedagogy of mathematics—is the practice of teaching, learning, and carrying out scholarly research into the transfer of mathematical knowledge.

Dyscalculia is a learning disability resulting in difficulty learning or comprehending arithmetic, such as difficulty in understanding numbers, learning how to manipulate numbers, performing mathematical calculations, and learning facts in mathematics. It is sometimes colloquially referred to as "math dyslexia", though this analogy can be misleading as they are distinct syndromes.

Achievement gaps in the United States are observed, persistent disparities in measures of educational performance among subgroups of U.S. students, especially groups defined by socioeconomic status (SES), race/ethnicity and gender. The achievement gap can be observed through a variety of measures, including standardized test scores, grade point average, dropout rates, college enrollment, and college completion rates. The gap in achievement between lower income students and higher income students exists in all nations and it has been studied extensively in the U.S. and other countries, including the U.K. Various other gaps between groups exist around the globe as well.

<span class="mw-page-title-main">Programme for International Student Assessment</span> Scholastic performance study by the OECD

The Programme for International Student Assessment (PISA) is a worldwide study by the Organisation for Economic Co-operation and Development (OECD) in member and non-member nations intended to evaluate educational systems by measuring 15-year-old school pupils' scholastic performance on mathematics, science, and reading. It was first performed in 2000 and then repeated every three years. Its aim is to provide comparable data with a view to enabling countries to improve their education policies and outcomes. It measures problem solving and cognition.

<span class="mw-page-title-main">Metacognition</span> Self-awareness about thinking, higher-order thinking skills

Metacognition is an awareness of one's thought processes and an understanding of the patterns behind them. The term comes from the root word meta, meaning "beyond", or "on top of". Metacognition can take many forms, such as reflecting on one's ways of thinking, and knowing when and how oneself and others use particular strategies for problem-solving. There are generally two components of metacognition: (1) cognitive conceptions and (2) cognitive regulation system. Research has shown that both components of metacognition play key roles in metaconceptual knowledge and learning. Metamemory, defined as knowing about memory and mnemonic strategies, is an important aspect of metacognition.

Stereotype threat is a situational predicament in which people are or feel themselves to be at risk of conforming to stereotypes about their social group. It is theorized to be a contributing factor to long-standing racial and gender gaps in academic performance. Since its introduction into the academic literature, stereotype threat has become one of the most widely studied topics in the field of social psychology.

An intelligent tutoring system (ITS) is a computer system that imitates human tutors and aims to provide immediate and customized instruction or feedback to learners, usually without requiring intervention from a human teacher. ITSs have the common goal of enabling learning in a meaningful and effective manner by using a variety of computing technologies. There are many examples of ITSs being used in both formal education and professional settings in which they have demonstrated their capabilities and limitations. There is a close relationship between intelligent tutoring, cognitive learning theories and design; and there is ongoing research to improve the effectiveness of ITS. An ITS typically aims to replicate the demonstrated benefits of one-to-one, personalized tutoring, in contexts where students would otherwise have access to one-to-many instruction from a single teacher, or no teacher at all. ITSs are often designed with the goal of providing access to high quality education to each and every student.

<span class="mw-page-title-main">Discovery learning</span> Technique of inquiry-based learning and is considered a constructivist based approach to education

Discovery learning is a technique of inquiry-based learning and is considered a constructivist based approach to education. It is also referred to as problem-based learning, experiential learning and 21st century learning. It is supported by the work of learning theorists and psychologists Jean Piaget, Jerome Bruner, and Seymour Papert.

Test anxiety is a combination of physiological over-arousal, tension and somatic symptoms, along with worry, dread, fear of failure, and catastrophizing, that occur before or during test situations. It is a psychological condition in which people experience extreme stress, anxiety, and discomfort during and/or before taking a test. This anxiety creates significant barriers to learning and performance. Research suggests that high levels of emotional distress have a direct correlation to reduced academic performance and higher overall student drop-out rates. Test anxiety can have broader consequences, negatively affecting a student's social, emotional and behavioural development, as well as their feelings about themselves and school.

Reform mathematics is an approach to mathematics education, particularly in North America. It is based on principles explained in 1989 by the National Council of Teachers of Mathematics (NCTM). The NCTM document Curriculum and Evaluation Standards for School Mathematics (CESSM) set forth a vision for K–12 mathematics education in the United States and Canada. The CESSM recommendations were adopted by many local- and federal-level education agencies during the 1990s. In 2000, the NCTM revised its CESSM with the publication of Principles and Standards for School Mathematics (PSSM). Like those in the first publication, the updated recommendations became the basis for many states' mathematics standards, and the method in textbooks developed by many federally-funded projects. The CESSM de-emphasised manual arithmetic in favor of students developing their own conceptual thinking and problem solving. The PSSM presents a more balanced view, but still has the same emphases.

<span class="mw-page-title-main">Sex differences in education</span> Educational discrimination on the basis of sex

Sex differences in education are a type of sex discrimination in the education system affecting both men and women during and after their educational experiences. Men are more likely to be literate on a global average, although higher literacy scores for women are prevalent in many countries. Women are more likely to achieve a tertiary education degree compared to men of the same age. Men tended to receive more education than women in the past, but the gender gap in education has reversed in recent decades in most Western countries and many non-Western countries.

Statistics education is the practice of teaching and learning of statistics, along with the associated scholarly research.

The racial achievement gap in the United States refers to disparities in educational achievement between differing ethnic/racial groups. It manifests itself in a variety of ways: African-American and Hispanic students are more likely to earn lower grades, score lower on standardized tests, drop out of high school, and they are less likely to enter and complete college than whites, while whites score lower than Asian Americans.

Modern elementary mathematics is the theory and practice of teaching elementary mathematics according to contemporary research and thinking about learning. This can include pedagogical ideas, mathematics education research frameworks, and curricular material.

<span class="mw-page-title-main">Women in STEM fields</span> Female participants in science, technology, engineering, and mathematics

Many scholars and policymakers have noted that the fields of science, technology, engineering, and mathematics (STEM) have remained predominantly male with historically low participation among women since the origins of these fields in the 18th century during the Age of Enlightenment.

<span class="mw-page-title-main">Bedtime Math</span>

Bedtime Math is a non-profit organization focused on mathematics education for young children, launched by Laura Overdeck in February 2012.

<span class="mw-page-title-main">Female education in STEM</span>

Female education in STEM refers to child and adult female representation in the educational fields of science, technology, engineering, and mathematics (STEM). In 2017, 33% of students in STEM fields were women.

References

  1. Richardson, Frank C.; Suinn, Richard M. (November 1972). "The Mathematics Anxiety Rating Scale: Psychometric data". Journal of Counseling Psychology. 19 (6): 551–554. doi:10.1037/h0033456. ISSN   1939-2168.
  2. 1 2 3 Ashcraft, M.H. (2002), "Math anxiety: Personal, educational, and cognitive consequences", Current Directions in Psychological Science, 11 (5): 181–185, doi:10.1111/1467-8721.00196, S2CID   16387293
  3. Suárez-Pellicioni, Macarena; Núñez-Peña, María Isabel; Colomé, Àngels (2016). "Math anxiety: A review of its cognitive consequences, psychophysiological correlates, and brain bases". Cognitive, Affective, & Behavioral Neuroscience. 16 (1): 3–22. doi: 10.3758/s13415-015-0370-7 . ISSN   1530-7026. PMID   26250692.
  4. Richardson, Frank C.; Suinn, Richard M. (1972). "The Mathematics Anxiety Rating Scale: Psychometric data". Journal of Counseling Psychology. 19 (6): 551–554. doi:10.1037/h0033456. ISSN   0022-0167.
  5. Hembree, R. (1990), "The nature, effects, and relief of mathematics anxiety", Journal for Research in Mathematics Education, 21 (1): 33–46, doi:10.2307/749455, JSTOR   749455
  6. Schar, M. H.; Kirk, E. P. (2001). "The relationships among working memory, math anxiety, and performance". Journal of Experimental Psychology: General. 130 (2): 224–237. doi:10.1037/0096-3445.130.2.224. PMID   11409101.
  7. Harms, William. "When People Worry about Math, the Brain Feels the Pain." UChicago News. The University of Chicago, 31 Oct. 2012. Web. 02 Mar. 2014.
  8. Trezise, Kelly; Reeve, Robert A. (2016). "Worry and working memory influence each other iteratively over time". Cognition and Emotion. 30 (2): 353–368. doi:10.1080/02699931.2014.1002755. PMID   25648296. S2CID   1305564.
  9. Trezise, Kelly; Reeve, Robert A. (2018-08-01). "Patterns of anxiety in algebraic problem solving: A three-step latent variable analysis". Learning and Individual Differences. Modelling individual differences in students' cognitions and development: Latent variable mixture model approaches. 66: 78–91. doi:10.1016/j.lindif.2018.02.007. ISSN   1041-6080. S2CID   149320619.
  10. Beilock, S. L., & Willingham, D. T. (2014). "Math Anxiety: Can Teachers Help Students Reduce It? Ask the Cognitive Scientist". American Educator. 38 (2): 28–43. ISSN   0148-432X.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  11. Blazer, C. (2011). "Strategies for Reducing Math Anxiety". Information Capsule. 1102: 1–8.
  12. Ashcraft, M. H.; Krause, J. A. (2007). "Working memory, math performance, and math anxiety". Psychonomic Bulletin & Review. 14 (2): 243–248. doi: 10.3758/BF03194059 . ISSN   1069-9384. PMID   17694908.
  13. Scarpello, Gary (2007). "Helping Students Get Past Math Anxiety". Techniques: Connecting Education and Careers (J1). 82 (6): 34–35. ISSN   1527-1803.
  14. PISA 2012 results. Volume 3, Ready to learn : students' engagement, drive and self-beliefs. Programme for International Student Assessment. Paris: Organisation for Economic Co-operation and Development. 2013. ISBN   9789264201170. OCLC   865657364.{{cite book}}: CS1 maint: others (link)
  15. Cargnelutti, Elisa; Tomasetto, Carlo; Passolunghi, Maria Chiara (June 2017). "How is anxiety related to math performance in young students? A longitudinal study of Grade 2 to Grade 3 children". Cognition & Emotion. 31 (4): 755–764. doi:10.1080/02699931.2016.1147421. hdl: 11585/536818 . ISSN   1464-0600. PMID   26935005. S2CID   37563067.
  16. Richardson, F.C.; Suinn, R.M. (1972). "The Mathematics Anxiety Rating Scale". Journal of Counseling Psychology. 19 (6): 551–554. doi:10.1037/h0033456.
  17. Hopko, Derek R.; McNeil, Daniel W.; Lejuez, C.W.; Ashcraft, Mark H.; Eifert, Georg H.; Riel, Jim (2003). "The effects of anxious responding on mental arithmetic and lexical decision task performance". Journal of Anxiety Disorders. 17 (6): 647–665. doi:10.1016/s0887-6185(02)00240-2. PMID   14624816.
  18. 1 2 Richardson, F. C.; Suinn, R. M. (1972). "The mathematics anxiety rating scale: Psychometric data". Journal of Counseling Psychology. 19 (6): 551–554. doi:10.1037/h0033456.
  19. Richardson, F. C.; Suinn, R. M. (1972). "The mathematics anxiety rating scale: Psychometric data". Journal of Counseling Psychology. 19 (6): 553. doi:10.1037/h0033456.
  20. McLeod, D.B. (1994). "Research on Affect and Mathematics Learning in the JRME: 1970 to Present". Journal for Research in Mathematics Education. 25 (6): 637–647. doi:10.2307/749576. JSTOR   749576.
  21. Capraro, M. M.; Capraro, R. M.; Henson, R. K. (2001). "Measurement error of scores on the Mathematics Anxiety Rating Scale across studies". Educational and Psychological Measurement. 61 (3): 373–386. doi:10.1177/00131640121971266. S2CID   144616161.
  22. Alexander, L., & Cobb, R. (1984). Identification of the dimensions and predictors of math anxiety among college students. Paper presented at the Annual Meeting of the Mid-South Educational Research Association (New Orleans, LA, November 16, 1984). ERIC, ED 251320.
  23. Fenemma, E.; Sherman, J.A. (1976). "Fennema-Sherman Mathematics Attitudes Scales: Instruments designed to measure attitudes toward the learning of mathematics by females and males". Journal for Research in Mathematics Education. 7 (5): 324–326. doi:10.2307/748467. JSTOR   748467.
  24. Ma, X (1999). "A meta-analysis of the relationship between anxiety toward mathematics and achievement in mathematics". Journal for Research in Mathematics Education. 30 (5): 520–540. doi:10.2307/749772. JSTOR   749772.
  25. Terry, Jenny; Ross, Robert M.; Nagy, Tamás; Salgado, Mauricio; Garrido-Vásquez, Patricia; Sarfo, Jacob O.; Cooper, Susan; Buttner, Anke C.; Lima, Tiago J. S.; Öztürk, İbrahim; Akay, Nazlı; Santos, Flavia H.; Artemenko, Christina; Copping, Lee T.; Elsherif, Mahmoud M. (2023-05-29). "Data from an International Multi-Centre Study of Statistics and Mathematics Anxieties and Related Variables in University Students (the SMARVUS Dataset)". Journal of Open Psychology Data. 11 (1): 8. doi: 10.5334/jopd.80 . hdl: 10446/245149 . ISSN   2050-9863.
  26. Dweck, C. S. (2006). Mindset: The new psychology of success.New York: Random House.
  27. Stevenson, H.W.; Lee, S. (1990). "Contexts of achievement: A study of American, Chinese, and Japanese children". Monographs of the Society for Research in Child Development. 55 (1/2): 1–119. doi:10.2307/1166090. JSTOR   1166090. PMID   2342493.
  28. Brown, Jennifer L.; Ortiz-Padilla, Myriam; Soto-Varela, Roberto (2020-01-15). "Does Mathematical Anxiety Differ Cross-Culturally?". Journal of New Approaches in Educational Research. 9 (1): 126–136. doi: 10.7821/naer.2020.1.464 . hdl: 20.500.12442/4531 . ISSN   2254-7339. S2CID   210960923.
  29. Gutbezahl, Jennifer (1995), How Negative Expectancies and Attitudes Undermine Females' Math Confidence and Performance: A Review of the Literature, Education Resources Information Center, ED380279 .
  30. Dar-Nimrod, Ian; Heine, Steven J. (2006). "Exposure to Scientific Theories Affects Women's Math Performance" (PDF). Science. 314 (5798): 435. doi:10.1126/science.1131100. PMID   17053140. S2CID   40746692.
  31. 1 2 Kail, R.V., & Zolner, T. (2005). Children. Toronto: Prentice Hall.
  32. Szczygiel, Monika. "Gender, general anxiety, math anxiety and math achievement in early school-age children". Issues in Educational Research. 30 (3): 1126–1142.
  33. Goulding, M., Rowland, T., Barber, T. (2002). Does it matter? Primary teachers trainees' subject knowledge in mathematics. British Educational Research Journal, 28, 689-704.
  34. Laturner, R.J. (2002). "Teachers' academic preparation and commitment to teach math and science". Teaching and Teacher Education. 18 (6): 653–663. doi:10.1016/s0742-051x(02)00025-2.
  35. Kawakami, K.; Steele, J. R.; Cifa, C.; Phills, C. E.; Dovidio, J. F. (2008). "Approaching math increases math = me, math = pleasant". Journal of Experimental Social Psychology. 44 (3): 818–825. doi:10.1016/j.jesp.2007.07.009.
  36. Johns, M.; Schmader, T.; Martens, A. (2005). "Knowing is half the battle: Teaching stereotype threat as a means of improving women's math performance" (PDF). Psychological Science. 16 (3): 175–179. doi:10.1111/j.0956-7976.2005.00799.x. PMID   15733195. S2CID   10010358.
  37. Murray, Margaret A. M. (2000). Women Becoming Mathematicians: Creating a Professional Identity in Post-World War II America. MIT Press. ISBN   9780262632461.
  38. Sparks, Sarah (30 November 2016). "TIMSS: A Closer Look at Gender Gaps in Math and Science". Education Week. Education Week. Retrieved 4 December 2016.
  39. Gatto, John Taylor. "An Underground History of American Education". Archived from the original on 2017-04-06. Retrieved 2007-04-02.
  40. 1 2 Ruenzel, David (1 March 2001). "The World According To Gatto". Education Week . Retrieved 23 September 2020. It makes no more sense to do away with them [public schools] than police departments ...
  41. Bosmans, Guy; De Smedt, Bert (2015-01-01). "Insecure attachment is associated with math anxiety in middle childhood". Front Psychol. 6: 1596. doi: 10.3389/fpsyg.2015.01596 . PMC   4606049 . PMID   26528233.
  42. Furner, Joseph M., Berman, Barbara T., "Math anxiety: Overcoming a major obstacle to the improvement of student math performance", Childhood Education, Spring 2003
  43. Henderson, A. T. & Mapp, K. L. (2002), A New Wave of Evidence. The Impact of School, Family, and Community Connections on Student Achievement, Austin: Southwest Educational Development Laboratory
  44. Yee DK, Eccles JS. 1988. Parent perceptions and attributions for children's math achievement. Sex Roles 19:317–33.
  45. 1 2 Zaslavsky, Claudia, Fear of Math, pages 198-199. (New Brunswick, New Jersey: Rutgers University Press, 1994)
  46. "Episode 54: Math Anxiety – Causes and Cures", by Michael on April 13, 2008, http://www.thepsychfiles.com/2008/04/episode-54-math-anxiety-causes-and-cures/ September 7, 2009
  47. Hackworth, R. D. (1992). Math anxiety reduction. Clearwater, FL: H & H.
  48. Alimin, B R; Widjajanti, D B (2019-10-01). "Managing Students Mathematical Anxiety through a Bugis-Makassar Culture-Based Learning Model". Journal of Physics: Conference Series. 1320 (1): 012047. Bibcode:2019JPhCS1320a2047A. doi: 10.1088/1742-6596/1320/1/012047 . ISSN   1742-6588. S2CID   212870020.
  49. Arem, C. (2010). Conquering Math Anxiety (3rd ed.). Belmont, CA: Brooks/Cole. p. 43.
  50. HypnoGenesis.: Magazine for Hypnosis and Hypnotherapy, HypnoGenesis. "The Progressive Muscle Relaxation of Dr. Edmund Jacobson". Archived from the original on 2011-06-28. Retrieved 2011-06-30.
  51. "Google 学术搜索". scholar.google.com. Retrieved 2022-04-18.
  52. Arem, C. (2010). Conquering Math Anxiety, 3rd Ed. Belmont, CA: Brooks/Cole. pp. xxi.
  53. Spikell, M .Teaching Mathematics With Manipulatives: A Resource of Activities for K-12 Teacher. (New York: Allyn and Bacon, 1993)
  54. Riener, Cedar; Willingham, Daniel (2010). "The Myth of Learning Styles". Change: The Magazine of Higher Learning. 42 (5): 32–35. doi:10.1080/00091383.2010.503139. S2CID   144349329.
  55. Curtain-Phillips, M. Math Attack: How to Reduce Math Anxiety in the Classroom, at Work and in Everyday Personal Use. (Atlanta: Curtain-Phillips Publishing, 1999)
  56. Rittenhouse (1998). Lampert, M; Blunk, M (eds.). Talking Mathematics: Studies of Teaching and Learning in School (P. ed.). New York, New York: Cambridge University Press. pp. 163–189.
  57. Franklin, Margaret (2006). Add-ventures for girls: building math confidence, Junior High teacher's guide. Newton, Massachusetts: WEEA Publishing Center.
  58. Pugalee, D. (2004). "A Comparison of Verbal and Written Descriptions of Students' Problem Solving Processes". Educational Studies in Mathematics. 55 (3): 27–47. doi:10.1023/b:educ.0000017666.11367.c7. S2CID   122937513.
  59. "mathematics-anxiety". www.marilyncurtainphillips.com. Archived from the original on 2015-12-25.