# Stereotype and its Effect

April 9, 2021 2021-04-09 12:11## Stereotype and its Effect

# Stereotype and its Effect

Stereotype and Its Effect: Math Anxiety and Math Achievement Part Two

**What is Needed to Fight Stereotype?
**In order to effectively minimize the effects of stereotype, eradicate the conditions that foster stereotype in institutions, and create environments where our children do not encounter these conditions will take time, will, and effort. For the moment, we need to focus on a few key factors. Here, our focus is only on the mathematics education related factors:

(physical, affective, cognitive, mathematical),*Classroom environment*(training as a teacher, subject matter mastery, attitude—toward the discipline and learner differences, usage of language in communicating mathematics, questioning and assessment techniques, mastery of teaching and learning tools and their effective and flexible use, collaboration with colleagues and students, interest in learning, etc.),*Teacher characteristics*(knowledge of pedagogy, choice of instructional materials/models, selection and sequencing of introductory and practice exercises, amount of time devoted on mathematics instruction—tool/skill building, main concept, collaboration, practice, problem solving, etc.).*Instructional strategies*

As educators and policy planners we react to situations where stereotypes are manifested. Then we seek easy solutions: we increase the number of female and minority faculty, provide mentors, and actively recruit students in STEM programs. These changes provide only opportunity for positive impact, but to have long lasting effect, they need to accompany significant changes in pedagogy, understanding of learning issues and the aspirations, assets—strengths and weaknesses of these students, the nature of classroom interactions, type of assessments, and the nature of feedback.

For example, even when the number of females and minorities increases in STEM programs, not enough students remain in the programs. It is because they may not have the information about what kinds of pre-requisite skills they need to succeed in these programs. How to acquire these pre-skills? What efforts should they make to succeed? They may not know how to be effective and successful learners. They may not know what types of jobs they can get if they succeed in STEM programs. When they perceive that they are not succeeding, they change course, programs, and aspirations for careers.

Many students change majors during their undergraduate years. The rate at which students change their major varies by field of study. Whereas 35 percent of students who originally declare a STEM major change their field of study within 3 years, 29 percent of those who originally declare a non-STEM major do so. However, about half (52 percent) of students who originally chose math major switch major within 3 years. This change of major is much higher than that of students in all other fields, both STEM and non-STEM, except the natural sciences. [1]

The challenge of keeping students—especially women and underrepresented minorities—is on the agenda of every policy decision at every level of government—local to federal and education—from early childhood to graduate school. According to studies, among the culprits of attrition in STEM programs are uninspiring introductory courses, a culture that can be unwelcoming, and, and lack of adequate preparation of students, specifically in mathematics. [2]

**Learning Strategies and Stereotype
**Differences in students’ familiarity with mathematics concepts explain a substantial share of performance disparities between socio-economically advantaged and disadvantaged students and males and females. Many children, particularly girls and minorities, do not get exposure to quality mathematics content and effective pedagogy. Access to proper and rich mathematics language, transparent and effective conceptual schemas, and efficient and generalizable procedures is the answer to higher mathematics achievement for all students and fewer inequalities in mathematics education and in society.

When gender differences in math confidence, interest, performance and relations among these variables are studied over time, results indicate that *gender differences in math confidence are larger than disparities in interest and achievement in elementary school*. Research shows that confidence in math has become a major problem for girls and many minority children. It is one of the reasons women are vastly outnumbered by men in STEM professions later in life. Differences in math confidence between boys and girls show up as young as grade 2 and 3, despite girls and boys scoring similar marks. That trend continues through high school.

According to several studies, about half of third grade girls agree with the statement that they are good at math compared to two-thirds of boys. The difference widens in grade 6, where about 45 per cent of girls say that they are good at math compared to about 60 per cent of boys. This information is important for teachers as these attitudes are significant predictors of math-related career choices.

Early gender differences in math interest drive disparities in later math outcomes. At the same time, math performance in elementary school is a consistent predictor of later confidence and interest. There is a reciprocal relation between confidence and performance in middle school. Thus, math interventions for girls should begin as early as first grade and should include attention to developing math confidence, in addition to achievement. Even in preschools, the kind of games and toys children play with can determine the development of prerequisite skills for mathematics learning.[3] Confidence in learning is a function of metacognition and that in turn develops executive function and cognitive flexibility.

In elementary school, boys often utilize rote memory when learning math facts whereas girls rely on concrete manipulatives such as counting on fingers, number line, etc. And they use them longer than they should. Their arithmetic fact mastery puts boys in a better preparation for related arithmetic concepts (e.g., multiplication, division, etc.). These differences in strategies result in girls demonstrating slower math fluency (i.e. the ability to solve math problems related to arithmetic facts quickly) than boys. Both these methods (mastery by rote memorization and prolonged use of counting materials) are inefficient for arithmetic fact mastery for anyone. But, these inefficient strategies reinforce the gender stereotype for girls. Girls may blame their slower mastery of facts on being girls rather than the inefficient methods and strategies.

These inefficient models, methods, and strategies might bring higher achievement in elementary mathematics up to grade 3 and 4 (one can answer addition, subtraction, multiplication, and division problems by sheer counting), but they do not develop skills that are important for later concepts (e.g., difficulty dealing with fractions, ratio and proportion, and algebra as they are not amenable to counting). As a result, the average mathematics achievement of an average American is fifth-to-sixth grade level.

Clear understanding of concepts, fluency in procedures, and application of proportional reasoning (e.g., fraction concepts and procedures, ratio, proportion, etc.) are the gateway to algebra. Algebra is the main door to STEM fields. Students who do not opt for STEM related topics are the ones who have experienced difficulty understanding and operating on fractions. To become competent in understanding and fluently operating on fractions, students need:

(e.g., repeated addition, groups of, an array, and the area of a rectangle*Mastery of multiple models of multiplication*,*)*(tables of 1 to 10),*Mastery of multiplication tables*(for 2, 3, 4, 5, 6, 8, 9, and 10),*Divisibility rules*(computing division with one digit divisor and multi-digit dividend without long-division procedure),*Short-division*, and*Prime factorization**Knowing that a/b = 1,for any a and b and b ≠0, and that multiplying by a/a (by a fraction whose value is 1) gives an equivalent fraction.*

Skills listed above cannot be achieved by being proficient only in counting, memorizing and using manipulatives. These skills are acquired with having strong numbersense (e.g., mastery of number concept, arithmetic facts, and place value). Students have mastery of an arithmetic fact if they demonstrate:

- Solid understanding of number concept and sight facts,[4]
- Efficient strategies for arriving at the fact (e.g., using decomposition/ recomposition of number),
- Fluency (giving a fact in 2 seconds or less orally, 3 seconds or less in writing), and
- Applying it to other facts, mathematics concepts, and/or to problems.

** Developmental Trajectory of the Competence in Mathematics** (Additive and multiplicative reasoning and facts, place value, decomposition/recomposition of number)

Strong numbersense

**(Ability and facility in executing four whole number operations, correctly, consistently, flexibly, and fluently in the standard form with understanding**

*to Numeracy***(e.g., Fractions, and all of its incarnations—decimals, percent, ratio, proportion, scale factor, rate, slope, etc.)**

*to Proportional reasoning***[Seeing it as generalization of arithmetic ideas and procedures; arithmetic of functions and expressions; modeling of problems by algebraic systems (e.g., linear, exponential and logarithmic, absolute and piece-wise); concept of and operations on polynomials—with specific emphasis on quadratic and trigonometric; concept of transformations and their applications; systems of equations, inequalities, etc.**

*to Algebra***(Calculus) and**

*to Continuous modeling***(probability and statistics**

*discrete modeling*

*to Higher mathematics*

to STEM fields.to STEM fields.

To be prepared for higher mathematics, all children should learn, master and apply strategies that are based on

*decomposition/ recomposition*of numbers (e.g., 8 + 6 = 8 + 2 + 4 = 10 + 4 = 14; 8 + 6 = 4 + 4 + 6 = 4 + 10 = 14; 8 + 6 = 2 + 6 + 6 = 2 + 12 = 14; 8 + 6 = 8 + 8 – 2 = 16 – 2 = 14; 8 + 6 = 7 + 1 + 6 = 7 + 7 = 14),*flexibility of thought*(able to arrive an answer to a problem in more than one way),*generalizable skills*(moving from strategies that give the exact answer to efficient strategies that give the accurate answer easier and quicker with less effort and then move to strategies that are elegant—that can be abstracted into formal systems, and can be extrapolated), etc.

Inefficient strategies and simplistic definitions and models such as ** addition** is counting up/forward,

**is counting down/ backwards,**

*subtraction***is skip counting forward, and**

*multiplication***is skip counting backwards (e.g., counting objects, fingers, number positions on the number line, etc.) are inefficient formulations of these concepts. They are counter-productive to creating interest, flexibility of thought and confidence in mathematics because they do not expose children to the beauty and power of mathematics. Mathematics is the study of patterns, it has deep underlying structures, and it is based on the regularity of principles in its concepts. Its power lies in the collection of concepts and tools for the modeling of problems from diverse fields from anthropology to space and methods of solving them.**

*division*Teachers and parents need to emphasize that ** mastery** of math facts and concepts is not just memorizing or arriving at the answer by counting. It is:

- Deriving facts with efficient strategies, strong conceptual schemas, precise language, and elegant procedures,
- Accuracy and fluency, and
- Ability to apply this information in diverse situations (e.g., intra-mathematical, interdisciplinary, and extra-curricular applications).

When girls are encouraged to continue counting to find answers, they become self-conscious of their strategies and give up easily. This happens to boys too. But, in most cultures boys are given more support and encouragement. In addition, the stereotype that “boys are good in math and girls are good in reading” gives boys the benefit of doubt—they will ultimately outgrow inefficient strategies.

All students must understand that ** mastery of certain math concepts** is important for any quantitative problem solving in most professional fields. To acquire efficient and effective strategies for number relationships and gain confidence in their usage is even more important. For example, students in early grades show high interest in STEM. But in later grades, without fluency in basic skills, lack of flexibility of thought and poor/or no conceptual schemas for key mathematics concepts, they tend to lose that interest. They also have difficulty connecting the diverse strategies and experiences in problem settings to related disciplines. For example, they have difficulty in applying conversion of units and dimensional analysis algebraic manipulations from mathematical setting to physics and chemistry. As a result, the sheer size of numbers and complexity of concepts and procedures they encounter in the STEM fields overwhelms them. As another example, a calculus course requires students to have an in-depth understanding of rates of change (e.g. proportional reasoning and its applications). The foundation of the concept should be introduced to students early in their mathematics education, and their understanding of it should evolve from middle school up to and including calculus. They should explore rates of change using numbers, tables, graphs and equations:

- Investigate and model applications of rates of change, and
- Explore how integrating concepts and technology appropriately enhances student understanding across grades.

When students are exposed to interesting and challenging problems from early grades and are shown clear developmental trajectory of each concept and procedure, they see connections between concepts. When students see the relationships between mathematics tools—strategies, skills and procedures and problems and where do these problems come from they remain engaged. This is particularly true about many female students as they are not sure of their competence. When problems are selected and their relationship with the STEM fields is made transparent, students get interested in these fields. Many students do not know what types of problems are solved in different fields. For example, in surveys 34 percent more female students than male students say that STEM jobs are hard to understand, and only 22 percent of the female respondents name technology as one of their favorite subjects in school, compared to 46 percent of boys.

**Increasing STEM Participation is a Whole School Activity
**Turning students’ interest toward mathematics and then STEM has to be a school-wide effort. Every educator (teachers—regular and special education, administrators, guidance counselors, coaches, para-professionals, etc.) should be aware of their own beliefs about math, gender/minorities, and their biases. For example, I have observed interactions between many adults (including principals) openly admitting their incompetence in mathematics to students. Here is a sample of interaction between a guidance counselor and two ninth grade students.

**Female Student**: Mr. Wilson, I am having very difficult time in my algebra I class. It looks like I do not have what it takes to be successful in Algebra I. I guess, I need to be taking the simpler algebra course or pre-algebra again. Could you please sign this paper for change of course?

**Guidance Counselor**: Let me see! Do you have a note from the teacher or your parents? Yes, algebra is kind of difficult. I have seen, over the years, more girls changing from this Algebra I class to easier courses. Have you tried getting some help from your algebra I teacher?

**Female Student**: I tried. I went to her a couple of times. It did not work. I will get a note from my father. He did warn me that algebra might be difficult. I will see you tomorrow.

**GC**: OK!

Another day:

**Male Student**: Mr. Wilson, I am having great deal of difficulty in my algebra I class. It looks like I do not have what it takes to be successful in Algebra I. I guess, I need to be taking the simpler algebra course or pre-algebra again. Could you please sign this paper for change of course?

**Guidance Counselor**: Let me see! Did you do poorly on the first test? You know the first test in a course is not really an indication of poor preparation for a course. One has to get used to the new material and the teacher—her style of teaching and her expectations. Now do you know what the teacher wants? Have you tried getting some help from your algebra teacher? You know she is one of the best teachers in our school. I know she is a little demanding, but she is an excellent teacher.

**Male Student**: Yes, she is demanding. Not a little, but a lot.

**GC**: You should join a study group. David, your friend on your soccer team, he is very good at math. Have you asked him for help? He even lives near you. Why don’t you try the course for few more weeks, maybe till the next test and then you still have difficulty come see me. Meanwhile, I will talk to your teacher. By the way, before you come see me next time, get a note from the teacher explaining that you did try. And, I also need a note from your parents so that they know about your changing the course? I know, algebra is kind of difficult, but trying is even more important.

**Male Student**: I guess, I will give it another try. If it doesn’t work, I will come to you, again. Yes, I will get a note from my mother. My father wants me to have algebra on my transcript. He says: “It looks good for college applications to have algebra in eighth grade or latest in ninth grade. I will see you later.

**GC**: OK!

**Quality of Concepts and Quality of Instruction
**Quality instruction has the greatest impact on student achievement and the development of a positive attitude about a subject matter. The major changes in student outcomes are obtained by teachers’ instructional actions. Generally, the premise is that teachers who implement effective instructional strategies will, in turn, help students use mental processes that enhance their learning. However, it is not enough to merely use an instructional strategy; it is more important is to ensure that it has the desired effect on student learning.

The opportunity to learn and the time students spend learning quality mathematics content and practicing meaningful and rigorous mathematics tasks assure higher mathematics achievement. Differences in students’ familiarity with mathematics concepts explain many performance disparities between socio-economically advantaged and disadvantaged students and between females and males. Widening access to meaningful mathematics content—proper mathematics language, efficient, effective, and generalizable conceptual schemas, and efficient and elegant procedures—are the answers raising levels of mathematics achievement and, at the same time, reduce inequalities in mathematics education.

Poor learning environments and poor mathematics teaching create gender, race, and class disparities in quantitative fields, and the gaps begin to develop as early elementary school. Initially small and subtle, they grow into causative factors for low achievement in and avoidance of mathematics in high school, college, and even graduate school. They become most pronounced in quantitative professions such as university-based mathematics research and STEM fields. It is worth noting that women who drop out of quantitative majors do not tend to have lower scores on college entrance exams or lower freshman grades than their male peers. Females are leaving math fields when they are performing just fine; it is therefore worth considering that the reasons hardly lie in them, but in our educational environments that might induce them to leave.

**Attitudes and Values
**Various explanations exist for gender differences, beginning with small differences in elementary school to consequential differences in high school, undergraduate mathematics classes, advanced mathematics, and in math-related career choices. Below we summarize some of the factors that contribute to gender, race, and ethnic differences in mathematics and math-related courses and career choices.

*Attitudes toward numeracy
*Even from a young age, girls are less confident and more anxious about math than boys. These differences in confidence and anxiety are larger than actual gender differences in math achievement. The differences are shaped by the social attitudes of adults toward work, careers, education, and achievement. These attitudes are important predictors of later math performance and math-related career choices.

Early perceptions and attitudes formed at home and in early childhood classrooms form the basis of future attitudes toward learning. For example, many parents read to their children regularly and with interest. This instills the love for literacy and learning. During this reading, some parents do discuss the quantitative and spatial relations—ideas about number, number relationships, and numeracy, in the reading material. Many families play board and number games and with toys that develop prerequisite skills for mathematics learning [5].

From early childhood, traditionally, boys and girls play with toys and engage in games that are responsible for the development of different types of skills. Boys engage in activities that develop spatial skills and girls participate in games and toys that develop sequencing skills. For example, boys tend to be stronger in the ability to mentally represent and manipulate objects in space, and these skills (ability to follow sequential directions to manipulate objects mentally, spatial orientation/space organization, visuo-spatial representation, rotations, transformations, pattern recognition and extensions, visualization, inductive reasoning, etc.) predict better math performance and STEM career choices. In teaching mathematics, it is important to use those models—concrete materials, visual representations (diagrams, figures, tables, graphs, etc.) that develop these skills and to make up earlier deficits in these skills and aid in the development of numeracy skills effectively.

Attitudes thus formed about quantitative and spatial relations become the basis of later interest and competence in numeracy and its applications. By high school, these skills and related attitudes are well established. Personal aptitudes and motivational beliefs in the middle and high school have profound impact on individuals’ interest in science, technology, engineering, and mathematics in college and later in choice of occupations and professions.

*Attitudes toward work and professions
*Occupational and lifestyle values, math ability, self-concept, family demographics[6] (particularly, financial and educational status of family), and high school course-taking more strongly predict both individual and gender differences in STEM careers than math courses and test scores in undergraduate years.

People’s life styles, values, attitudes, and interests and that of those around them influence gender and class differences about occupational and career choices and the role of work in their lives. For example, women tend to care more about working with people, and men tend to be more interested in working with things. This difference, in turn, relates to gender-gaps in selection of math-related careers and even within STEM disciplines—health, biological, environmental and medical sciences (HBEMS) versus mathematics, physical, engineering, economics, accounting, and computer sciences (MPEEACS).

Women’s preferences for work that is people oriented and altruistic predict their entrance into HBEMS instead of MPEEACS careers. For example, for the first time ever, women make up a majority (50.7 percent) of those enrolling in medical school, according to the Association of American Medical Colleges. In fall 2017, the number of new female medical students increased by 3.2 percent, while the number of new male students declined by 0.3 percent.[7]

Women prefer biological sciences, where they represent 40% of the workforce, with smaller percentages found in mathematics or computer science (33%), the physical sciences (22%), and engineering (9%). To change this phenomenon active intervention and education are needed.

Even in medical sciences, number of women can be increased, if we pay attention to the attitudes and beleif systems can be intervened. For example, as girls leave high school, they are much more likely than boys to express interest in a medical career. And, they have the entrance requirements. They have higher grades and attend college at higher rates.

In college and univeristy, however, women leave the pre-med courses, a pre-requiste for medical degrees and careers. But, the recent research points out that they leave this pathway at a higher rate than men do.

They do not leave for lack of competence. It’s not that women perform worse academically, according to the research points instead to the *competency beliefs* of high-achieving women.

That finding, the authors write, suggests that “motivational interventions in pre-med science courses will be critical for retaining high-performing women in pre-med, an important outcome with implications for equity and women’s health.”

**Role of Problem-solving Strategies
**Mathematics is the study of patterns in quantity, space, and their integration. This means mathematics is thinking quantitatively and spatially. For example, in elementary school, understanding the concept of place value in representing large numbers is the integration of quantity and space. We are interested in a digit’s quantitative value in the number by its location in relation to other digits in the number. Similarly, coordinate geometry is a good example of this integration: each algebraic equation and inequality represents a curve in space and every curve can be represented by a system of equations/inequalities. Thus, to do better in mathematics and in subjects dependent on mathematics, one needs to have strong visual/spatial integrative skills: the ability to visualize and see spatial organization and spatial orientation relationships. Students who are poor in these skills, generally, have difficulty in mathematics. Those students who can do well in arithmetic up to fourth grade by just sequential counting begin to have difficulty later when concepts become complex (e.g., fractions, ratio, proportion, algebraic thinking, geometry, etc.). Then they blame themselves for their failures in mathematics – “I cannot learn mathematics.” “Mathematics is so difficult.” However, to a great extent, the reality lies in lack of these prerequisite skills and inefficient strategies.

The prerequisite skills for mathematics learning can be improved through training and intervention. Gender differences in spatial abilities and visual-spatial skills can be reduced and/or stronger compensatory strategies can be developed with effective interventions. The pattern of differences in the prerequisite skills for mathematics learning can be broken through these intervention programs. The types of games and toys children play, in early childhood, determine the fluency in these skills[8]. This means that one way forward is to ensure that all students spend more “engaged” time learning core mathematics concepts, solving challenging mathematics tasks, acquire prerequisite skills for learning mathematics.

Success in STEM fields depends on a person’s ability to apply efficient math strategies and exposure to diversity of problem solving strategies. For that, students need to engage in thinking both quantitatively—analyze ideas and strategies (deductive thinking), and qualitatively—synthesize ideas (inductive thinking). Thinking quantitatively means developing a strong numbersense and its applications. Thinking spatially/qualitatively means seeing patterns in numbers, shapes, objects, and seeing connections amongst ideas.

Research and observations show that in our schools boys tend to and are encouraged to use novel problem-solving strategies whereas girls are likely to follow school-taught procedures. In general, girls more often follow teacher-given rules in the classroom. It could be that girls are trying to fit in the class and they learn that these behaviors are rewarded. This tendency inhibits their math explorations, innovations, and the development of bold, efficient, and effective problem-solving skills. They need to explore and acquire strategies that can be generalized to multiple situations than just solving specific problems.

Such differences in learning approach and types of experiences contribute to gender related achievement gaps in mathematics as content becomes more complex and problem-solving situations call for novel approaches rather than just learned procedures. The rigorous use of the Standards of Mathematics Practices (CCSS-SMP)[9] in instruction at K-12 level and student engagement in collaborative and interdisciplinary research and internships at the undergraduate level can better prepare our students for higher mathematics and problem solving. Then, they will stay longer in STEM fields.

To be attracted to and stay in mathematics, students need to engage from a very early age with appropriate and challenging mathematical concepts. That means to experiment more and experience widely. This happens when they collect, classify, organize, and display information (quantitative and spatial); analyze, see patterns and relationships, arrive at and make conjectures; and communicate these observations using mathematics language, symbols, and models. These skills are central to a person’s preparedness to tackle problems that arise at work and in life beyond the classroom. Unfortunately, many students do not have a rigorous understanding of basic mathematics concepts (integration of language, concepts, procedures, and skills) and are not required to master these skills. In school, they practice only routine tasks procedurally that do not improve their ability to think quantitatively and qualitatively and solve real-life, complex problems—involving multiple concepts, operations, and meaningful ideas.

Mathematics also means communicating mathematical thinking using mathematics language, symbols, diagrams, models, mathematical systems: expressions, systems of equations, inequalities, etc. All these skills are central to a person’s preparedness to tackle problems that arise at work and in life beyond the classroom. The best approach to keeping students in the STEM fields is not only to give them skills but also to give them the “taste” of success in applications of mathematics in problem solving.

**Collective Course Design
**In 2011 the Association of American Universities started a project to improve the quality of STEM teaching at the undergraduate level. Among the conclusions of this project are:

Success is more likely when interdisciplinary departments take collective responsibility for introductory course curricula in STEM fields. For example, mathematics teachers should select application problems from the STEM disciplines so that students see connections between use of mathematics tools and concepts and the nature of the problems they can solve from other disciplines.

Along with interdisciplinary integration, there should be active collaboration between K-12 and undergraduate curricula, pedagogy, instructional strategies, and teachers. To improve the situation, colleges and universities should collaborate more, with K-12 schools, industry, and one another.

Applications of mathematics should involve its language, concepts, skills and procedures, not just formulas and procedures using calculators, computer packages, and apps. The objective of applications, therefore, is to see the utility, the power, and the beauty of mathematics. The application of mathematics fall in three categories:

: Applying a concept, method, procedure, or strategy from one part of mathematics to solve a problem in another part of mathematics. For example, solving a geometry problem using algebraic equations; seeing the study of coordinate geometry as the integration of algebra and geometry; understanding statistics as the integration of algebraic concepts (e.g., permutation/combination, binomial theorem), geometry (e.g., representation and presentation, graphing, and displaying of data, etc.), and calculus (differentiation and integration of probability functions), etc.*Intra-mathematical applications*: Applying mathematics modeling to problems in other disciplines (e.g., understanding and explaining concepts and principles in physics, chemistry, economics, psychology, etc. using mathematical models and systems). Students should understand and realize that mathematics is used first for understanding and explaining physical phenomenon and then mathematics modeling for solving problems in natural, physical, biological, and social sciences. For example, understanding the airline routing problem using mathematics (linear and non-linear programming, and permutation/combination, etc.) and then extend the approach to modeling similar problems.*Interdisciplinary applications*: Applying mathematics in solving problems in real life through group projects, independent and small group research, etc. This involves applying combination of skills from different branches of mathematics in solving real life problems. The skills involved are: identifying a problem; asking right questions about the problem and solution requirements and constraints on solutions; defining knowns and unknowns; identifying unknowns as variables; identifying and articulating relationships between knowns and unknowns—functions, equations, inequalities, etc.; identifying already known facts relating to the problem and the variables involved, postulates, assumptions, results that apply in this situation; developing strategies for solving the problem; collecting data, classifying, organizing, displaying the data; analyzing data; observing patterns in the data; developing conjectures/hypotheses, and results; solving the problem; relating the solution to the original problem; conclusion(s); if needed rethinking/redefining the problem with modified conditions and restraints; etc.*Extra-curricular applications*

The course planning, design and course delivery are, therefore, more than a sole faculty member’s task. Colleges and schools showing the most improvements in attracting and retaining students in STEM use teams of faculty, instructional-design experts, data analytics on student learning, administrative supports like teaching-and-learning centers, creative-learning spaces, mentoring and tutoring, and multiple means of delivery, and meaningful and timely feedback.

An approach that is attracting more students into mathematics is undergraduate research, where students engage in independent individual or small group research projects for a sustained period of time under the supervision of a faculty member.

To keep many more students in STEM fields cannot be the activity of an isolated individual or an office. To address the issue of female and racial achievement gaps university and school reforms must be campus-wide and embraced by all faculty members in order for women, black and Latino students to truly thrive.

Schools must also move away from forcing students of color into remedial programs before their participation into proper programs. Those students need to learn how to navigate the boundaries of the different social worlds that make up higher education. They have to learn how to “try on” the identities of the professions, to feel that they own them and have the right to play in them. This approach is in opposition to remedial programs, which lead people to think of themselves as outsiders, inferior, and not worthy of achievements. With remedial programs, they learn math as a compliance activity.

Achieving change takes total campus/school commitment, with the most powerful and knowledgeable people involved. Diversity offices can be supportive, but the power of the academy is in the hands of faculty. They can either motivate or demotivate a student from a course, program or degree. When everybody – faculty, staff, and administration, makes the success of students from different backgrounds a top priority on campus, only then can we make a difference.

**Minimizing the Effect of Stereotype
**Our main goal should be to create conditions so that stereotype does not exist in our schools, but that will take time and a great deal of effort. Concurrently, we also need to minimize the effect of current conditions that have been affected by stereotype. Here are some strategies for improving mathematics instruction for all and for making sure that children do not adopt the cultural stereotype that math is for a select few.

**Tracking and Its Role
**Placing students in ability groups, particularly minority and low performing female students, is the beginning of closing doors for meaningful mathematics and STEM. Some instruction grouping may be considered at sixth grade and beyond. But these groupings should be to accommodate interventions—both for gifted and talented and those who struggle, not in place of regular classes. From seventh grade on there may be two levels: honors and regular. However, each group should be provided challenging and accessible instruction that is grade appropriate and rigorous in content. The difference should be on time on task rather than in the quality of content or nature of instruction.

Teachers should ensure that each and every student has access to meaningful curriculum and effective instruction that is balanced with respect to rich language of mathematics, strong conceptual understanding using multiple models and representations, efficient procedures and fluency, diverse and flexible problem solving, and the development of a productive disposition for mathematics.

Each teacher should provide every student the opportunity to learn grade-level or above mathematics using efficient strategies and provide the differentiated and targeted instructional support necessary for every student to successfully attain this goal. However, some may need more and others may need less practice to reach proficiency. For example, to differentiate, all students should be asked questions appropriate to their level but on the same concept or procedure being taught in the class.

Differentiation does not mean making groups and teaching them lower or higher level mathematics. Differentiation should offer children exercises and problems at different levels but on the same grade level concept or procedure. Small groups and individualization can be organized for brief but frequent periods of practice, reinforcement, and deepening their understanding, but not for initial teaching and for long intervals. Students learn more from other students than from most teachers. Teachers can make this happen.

Teachers should affirm and help students develop their mathematical identities by respecting their mathematics learning personalities.[10] For example, each student falls on the ** mathematics learning personality** continuum of learning mathematics processes. On one end of this continuum are students who process mathematics information parts-to-whole. They process information sequentially, deductively, and procedurally. They are known as

**students. They are very strong on procedural parts of mathematics. They need more work on language and concepts of mathematics. On the other extreme are students who process information from whole-to-parts. They look for patterns, relationships, and commonalities in concepts, ideas and procedures. They use inductive reasoning to process mathematics ideas. This is called**

*quantitative mathematics learning personality***. They are strong in concepts, making connections and applications. However, they need support and reinforcement in mastering standard procedures. Instruction should be to make sure that the needs of all students are met and complement their mathematics learning personalities.**

*qualitative mathematics learning personality*To engage all students, it is important to be cognizant of different ways people learn mathematics. Teachers should view students as individuals with strengths, not deficits. This manifests when they value multiple contributions and student participation and recognize and build upon students’ realities and strengths.

**Multiple Models
**Teachers should provide students multiple opportunities to grow mathematically by providing:

- multiple entry points and multiple models for the same concept (e.g., for multiplication—
*repeated addition*,*groups of, an array, area of a rectangle*; for division—*repeated subtraction, groups of, an array, area of a rectangle*), - multiple procedures for the same problem (e.g., the quadratic equation:
*2x*can be solved by using^{2}– 5x – 7 = 0*algebra tiles*,__by graphing__,*by factoring*,*by completing the square*, or*by quadratic formula*; - multiple strategies for deriving a result (i.e., the sum 8 + 6 can be derived as 8 + 2+ 4 = 10 + 4 = 14, 2 + 6 + 6 = 2 + 12 =14, 8 + 6 = 4 + 4 + 6 = 4 + 10 = 14, 8 + 6 = 8 + 8 – 2 = 16 – 2 = 14, 8 + 6 = 7 + 1 + 6 = 7 + 7 = 14, etc.), and
- multiple expressions for and demonstrate their knowledge in multiple ways—
*models*(*in words, symbols, tables, graphical, equations*),*forms*, and*levels*(concrete, pictorial, abstract/symbolic, etc.).

**Intervention and Remedial Instruction
**We should provide additional targeted instructional time as necessary and based on the results of common formative assessments—make instructional time variable, not student learning. A teacher has four opportunities for remedial instruction:

*Tool building*—identifying the tools necessary for students to be successful in the main lesson and quickly reviewing them (orally using the Socratic method) before the main lesson (e.g., commutative property of addition, N+ 1, making tens, and what two numbers make a teens’ numbers before beginning addition strategies; rules of combining integers before solving equations; prime factorization before reducing fractions to lowest terms; differential coefficients of important functions before starting integration of functions, etc.).*During the main lesson*—if during the lesson a concept is found to depend on a previous concept, briefly review that concept in summary form and write important formulas to be used in the new concept (e.g., divisibility rules during fraction operations; laws of exponents during combining polynomials; addition strategies during teaching subtraction strategies; important algebraic expressions before factoring: (a + b)^{2}= a^{2}+ 2ab + b^{2}, (a – b)^{2}= a^{2}– 2ab + b^{2}, (a + b) (a – b) = a^{2}– b^{2}, etc.).*Individual and small group practice*—at the end of the group lesson on a major concept, making small groups and helping each group of students to practice skills, concepts at different levels and helping them to practice previous concepts.*Intensive intervention*—organizing and providing intensive intervention for select students (e.g., those with dyscalculia, learning problems in mathematics, gaps in previous concepts and procedures, etc.). This type of intervention should be provided by specialists after or before class and should be in addition to regular math education instruction (math specialists with mastery of mathematics concepts and understanding of learning problems in mathematics using efficient and effective methods, not by a special educator who is weak in mathematics).

**Instructors and Pedagogy
**Quality instruction goes a long way toward keeping students — especially underrepresented minorities and women in the STEM fields. But measuring educational quality is not easy. Assessing the quality and impact in STEM at the national level will require the collection of new data on changing student demographics, instructors’ use of evidence-based teaching approaches, deeper and meaningful student engagement, student transfer patterns and more.

Most experienced, effective teachers (who have a clear understanding of the trajectory of the development of mathematics concepts and procedures and how children learn) should provide instruction to students who need more support rather than the least trained and least effective teachers and paraprofessionals. Highly effective teachers have the skills to support students who may not have previously been successful in mathematics. Effective teachers can make up almost three years of the result of poor teaching. Similarly, a poor teacher can nullify the gains of three years of effective teaching and even turn students off from mathematics.

**Keeping Diversity in Math to Fight Stereotype Threat
**An important way to address underrepresentation of minorities and women in mathematical pursuits is to create environments without stereotype threat (gender, race, ethnicity)—environments in which these groups are not concerned about being judged according to negative stereotypes. This can be done by mentoring where students are assured that:

**They are respected***.*Assigning simplistic work just to keep students in a program is not respecting learners of any kind and is insulting to their intelligence. A mathematics teacher should have fidelity only to (a) students and (b) to mathematics; teach meaningful math to all children in meaningful ways.**The work should be challenging.**Students should realize that although the work they are asked to do is challenging, it is accessible to them, they do indeed have the ability to succeed at it, and they believe that the teacher is there to help them succeed. The role of the teacher is to help them develop self-advocacy of their abilities, their strengths, and their usage.**They trust the mentor and her intent and capacity to help achieve the mentee’s success.**This means that they should feel secure that someone is there to help them to reach their goals; they believe in the process that they will have a higher level of skill set as the outcome and they will increase their potential to learn.**Importance of learning skills**Student work should focus not just on the content of mathematics but on how to learn—planning, goal setting, organizing, gaining learning skills—developing executive functions, marshaling resources, self-assessment, self-advocacy, self-regulation, self-reflection, and seeking and using feedback properly.*.*

The emphasis in this kind of mentoring is on stressing the importance of the expandability of one’s learning potential and realization of one’s goals—in a sense intelligence itself—students should grasp and internalize the idea of the role of the plasticity of the brain in learning potential and learning.

The intent of this mentorship is that at the end of these experiences (math courses, STEM program, etc.), mentees realize the idea that intellectual ability is not something that one has a finite amount of, and that it can be increased with genuine effort, experience and training. The role of the mentor here is more than cheerleading; it is helping the mentees to reach new personal heights in success and the attitude that they are capable of learning mathematics.

The increase in female representation in faculty and mentor roles, for example, has positive effects as long as they do not emphasize the uniqueness of their achievements and do not place undue pressure and importance on their mentees to view themselves as female mathematicians or scientists.

The more our female math students are exposed to women role models who can show them that not only can women “do math” but also that their feminine identities need not be viewed as a liability, the more they are likely to view math environments as places where they can belong and succeed. The same applies to other underserved groups.

**Identity and Mathematics
**The effects of stereotypes are far reaching. Research shows that stereotype threats induce undue pressures on women in the quantitative fields who are in the process of shaping their identities. Do women in mathematical arenas bifurcate their identities in response to prolonged exposure to threatening stereotype in these environments, or are women with bifurcated identities simply more likely to study mathematics? Research shows that because of the threat of negative stereotypes about female math ability many female math students (but not their peers in other fields) bifurcate their feminine identities. For example, in responding to stereotype threats, women in mathematics related fields often

*bifurcate*their feminine identities, cutting off

*feminine*traits they view as related to negative stereotype about female math ability and potential, and continuing to identify with

*feminine*traits that they view as relatively unrelated to the stereotypes.

They report keeping fewer feminine traits (e.g., sensitivity, nurturance, and even fashion-consciousness) in order to avoid negative judgments in math environments. They foster fewer feminine traits even though these may not lead to negative judgment. Thus, the stress of engaging in such adaptation could constitute yet another deterrent to women’s persistence in quantitative fields. Although sacrificing fashion-consciousness as an aspect of one’s identity may seem trivial, sacrificing an interest in having children does not.

Similar pressures in identity formation are present on students from minority groups. Many minority students try to adapt to situations by sacrificing some of their positive traits. We need to understand that stereotypes affect not only others’ judgments but also people’s own judgments of their own competence. For example, new immigrants to the country respond to discrimination and stereotype by blaming themselves. They blame their lack of knowledge, skills—language, experience, and knowhow, and as a result harshly judge themselves. Some of them are negatively affected and others may succeed by paying a price in both cases. For example, first- and second-generation children of immigrants respond to these situations with skills and knowhow (e.g., Chinese, Indian, and East European immigrants children flock to STEM majors and want to succeed to fight discrimination); they do not fight against stereotype and place higher expectations on themselves. Many of these children feel a great deal of pressure to succeed.

To reduce and nullify the effect of stereotype organized response is needed on several fronts. There is need for both systemic and tactical changes; change in systems and people that inhabit these organizations as these effects are situational. For this reason, the focus should be on both the people who are vulnerable to stereotypes and the organizations where the stereotypes exist (which applies to almost all organizations).

First, the change has to come in these organizations to reduce and then to eradicate these conditions.

Second, the affected groups need self-advocacy skills in responding to these situations. They need skills to achieve. They need skills in organizing and taking advantage of the positive situations. A good example of this is the METCO program in the Metropolitan Boston area. In this program, volunteer minority students (both male and female) from Boston public schools are bused to suburban schools instead of Boston Public Schools. These students get the opportunity to get a first-rate education in their suburban host schools. Moreover, the suburban students who realize the importance of this program and the schools who treat METCO students as their own also derive benefits. Many METCO students have gained skills from this program and many of them have gone on to become leaders in STEM fields.

As the METCO example shows, along with systemic change, there is need to work at the individual level. There is need for a mindset change on the part of individuals to actively gain skills to minimize the negative effects of stereotypes. For example, we can *a priory* determine a group’s needs and aspirations. Women’s ideas about themselves, their academic and career needs, and aspirations cannot remain fixed. Therefore, just focusing on organizations may not be enough – we also need to focus on the individuals.

Organizations—schools/colleges, social organizations, work places, and parents can do three key things to effect change.

** First**, they can control the messages they are sending by making sure there are no negative beliefs about any group in the organization. For instance, an experimental study on the evaluation of engineering internship applicants found that the same resume was judged by a harsher standard if it had a female versus a male name. Applications should be judged by the same standard.

** Second**, they can make performance standards unambiguous and communicate them clearly because when people don’t know what the standards are, stereotypes fill in the gaps.

** Last,** organizations can hold gatekeepers in senior management accountable for reporting on gender, race, and ethnic disparities in hiring, retention and promotion of employees.

[1] National Center for Education Statistics (NCES). (2017). Percentage of 2011 – 12 First Time Postsecondary Students Who Had Ever Declared a Major in an Associate’s or Bachelor’s Degree Program Within 3 Years of Enrollment, by Type of Degree Program and Control of First Institution: 2014. Institute of Education Sciences, U.S. Department of Education. Washington, DC. https://nces.ed.gov/datalab/tableslibrary/viewtable.aspx?tableid=11764

[2] President’s Council of Advisors (2012).

[3] Pre-requisite Skills and Mathematics Learning (Sharma, 2008, 2016).

[4] Sharma (2015). *Numbersense a Window to Understanding to Dyscalculia *in* An International Handbook of Dyscalculia (Steve Chinn, Editor).*

[5] For the role of prerequisite skills in mathematics learning see *Games and Their Uses in Mathematics* *Learning* by Sharma. A list of games that develop prerequisite skills can be requested (Mahesh@mathematicsforall.org) from the Center free of cost.

[6] Lost Einsteins: The Innovations We’re Missing by David Leonhardt, New York Times, Dec 3, 2017.

[7] Scott Jaschik (December 19, 2017), *Women are Majority of New Medical Students.* *Inside Higher Ed*.

[8] See *Games and Their Uses* by Sharma (2008). A shorter version of this book, *Pre-requisite Skills and Mathematics Learning*, in electronic form, is available free of cost from the Center. This document includes a list of games to develop these pre-requisite skills.

[9] See www.CCSS.org/math for the eight *Standards of Mathematics Practices*.

[10] See **The Math Notebook** on *Mathematics Learning Personalities* (Sharma, 198?)