How androcentric norms (based on male interests & behavior) may deter women from the computer science major. Also androcentric norms in arithmetic software
This document discusses gender differences in STEM fields. It notes that men tend to be overconfident while women are more likely to second guess themselves. It encourages pursuing challenging degree programs, even if you have to work harder, because they often lead to higher-paying careers. While STEM jobs are growing, many graduates end up in non-STEM fields like healthcare and education. The document advocates for improving basic math and science literacy for all. It also discusses dealing with imposter syndrome and the importance of passion and trying new things.
The document discusses reasons for the underrepresentation of women in science, technology, engineering, and mathematics (STEM) fields. It identifies three key areas that shape girls' and women's achievement and interest in these fields: social and environmental factors, the climate of university STEM departments, and the influence of implicit bias. The document provides research findings on how stereotypes, mindsets, spatial skills training, and work-life balance policies can impact gender disparities in STEM.
Infographic: Women in Science, Technology, Engineering and Mathematics empower_women
Inforgraphic prepared and presented by the Knowledge Gateway for Women's Economic Empowerment at the 58th session of the UN Commission on the Status of Women (CSW58).
A Fuzzy DEMATEL- Trapezoidal Structure for Modeling Cause and Effect Relation...ijcoa
The Decision making trial and evaluation laboratory (DEMATEL) method is a powerful method for capturing the causal relationship between criteria and has been successfully applied to crisp situations. However, in many real life cases, the decision data of human judgments with preferences are often vague so that the traditional ways of using crisp values are inadequate. In this paper, the directed influential degrees between pair wise criteria are expressed in trapezoidal fuzzy numbers is used in DEMATEL method to study on youth violence. Violence is a problem which affects our day today life in a severe way. Even though human beings have been struggling to create civilized societies for many years, they have not able to get free from the influence of violence and aggression yet. Aggressiveness among youth is considered to be a global public health problem in many parts of the world. The existence of violence around a person might provoke him to behave in a more violent way. So in this paper we analyze what makes the youth to be aggressive behavior and involving in violence and its effect
The document discusses four studies on reactive arrests and domestic violence. The studies looked at how reporting domestic violence incidents to police affects deterrence. One study from Minneapolis found arrests had a deterrent effect. Another Omaha study issued arrest warrants. The document also discusses police pursuits of fleeing suspects and findings from studies in Metro-Dade and Omaha. It then covers the investigative function of detectives and their goal of responding to crimes requiring investigation.
This document discusses Jacques Lacan's views on identity, language, and love as they relate to the poet Elizabeth Bishop. It outlines Lacan's three stages of psychic development: the imaginary, the symbolic, and the real. Key concepts discussed include the mirror stage, the Oedipal stage, and how the unconscious is structured like language. Questions are posed about gender, desire, and Lacan's view that love stems from an inability to achieve a complete relationship between the sexes. Bishop's poetry is said to theme displacement and her use of form represents distancing from loss.
This document discusses gender differences in STEM fields. It notes that men tend to be overconfident while women are more likely to second guess themselves. It encourages pursuing challenging degree programs, even if you have to work harder, because they often lead to higher-paying careers. While STEM jobs are growing, many graduates end up in non-STEM fields like healthcare and education. The document advocates for improving basic math and science literacy for all. It also discusses dealing with imposter syndrome and the importance of passion and trying new things.
The document discusses reasons for the underrepresentation of women in science, technology, engineering, and mathematics (STEM) fields. It identifies three key areas that shape girls' and women's achievement and interest in these fields: social and environmental factors, the climate of university STEM departments, and the influence of implicit bias. The document provides research findings on how stereotypes, mindsets, spatial skills training, and work-life balance policies can impact gender disparities in STEM.
Infographic: Women in Science, Technology, Engineering and Mathematics empower_women
Inforgraphic prepared and presented by the Knowledge Gateway for Women's Economic Empowerment at the 58th session of the UN Commission on the Status of Women (CSW58).
A Fuzzy DEMATEL- Trapezoidal Structure for Modeling Cause and Effect Relation...ijcoa
The Decision making trial and evaluation laboratory (DEMATEL) method is a powerful method for capturing the causal relationship between criteria and has been successfully applied to crisp situations. However, in many real life cases, the decision data of human judgments with preferences are often vague so that the traditional ways of using crisp values are inadequate. In this paper, the directed influential degrees between pair wise criteria are expressed in trapezoidal fuzzy numbers is used in DEMATEL method to study on youth violence. Violence is a problem which affects our day today life in a severe way. Even though human beings have been struggling to create civilized societies for many years, they have not able to get free from the influence of violence and aggression yet. Aggressiveness among youth is considered to be a global public health problem in many parts of the world. The existence of violence around a person might provoke him to behave in a more violent way. So in this paper we analyze what makes the youth to be aggressive behavior and involving in violence and its effect
The document discusses four studies on reactive arrests and domestic violence. The studies looked at how reporting domestic violence incidents to police affects deterrence. One study from Minneapolis found arrests had a deterrent effect. Another Omaha study issued arrest warrants. The document also discusses police pursuits of fleeing suspects and findings from studies in Metro-Dade and Omaha. It then covers the investigative function of detectives and their goal of responding to crimes requiring investigation.
This document discusses Jacques Lacan's views on identity, language, and love as they relate to the poet Elizabeth Bishop. It outlines Lacan's three stages of psychic development: the imaginary, the symbolic, and the real. Key concepts discussed include the mirror stage, the Oedipal stage, and how the unconscious is structured like language. Questions are posed about gender, desire, and Lacan's view that love stems from an inability to achieve a complete relationship between the sexes. Bishop's poetry is said to theme displacement and her use of form represents distancing from loss.
1) Stereotyping of computer science as a male-dominated field has discouraged girls from pursuing related careers. Research shows using gaming to teach computing concepts at a young age and providing female mentors may help break down stereotypes.
2) Studies found that girls had lower self-efficacy and interest in computer science due to societal stereotypes. However, programs that used gaming to teach concepts and matched girls with STEM mentors were shown to increase girls' skills, knowledge of careers, and intentions to study STEM fields.
3) Research also found that using a female interface agent when teaching math and engineering concepts helped raise girls' self-efficacy, interest, and performance compared to groups without
How women’s unconscious process are effected in gender situationsTaty Christofi
1. The document discusses how gender stereotypes can negatively impact women's self-assessments of their competence and task performance through two mechanisms: internalizing negative stereotypes and being judged more harshly.
2. Stereotype threat is explored, where salient negative stereotypes about one's gender can impair performance by interfering with working memory capacity.
3. The document outlines some strategies found in studies to help address stereotypes, such as emphasizing diversity and broadening portrayals of careers.
What opportunities are available for girls in STEM careers? How do we increase girls’ awareness, spark their interest, and develop their confidence to pursue careers in STEM? This workshop will demonstrate how STEM disciplines are essential to our health, happiness, and safety, and will provide participants with tips and tools for talking to girls and their parents about opportunities in STEM. Interactive activities seek to reduce anxiety and bolster confidence in the GS leaders. Upon completion of the workshop, participants will be able to advocate careers in STEM to girls and their parents using correct and positive messages that appeal to students’ interests and values.
This workshop was presented as a part of the Girl Scouts STEM Conference, with the goal to create a statewide STEM initiative among the various GS regions. My task was to help the participants “get into the minds of girls,” share opportunities for girls in STEM, dispel stereotypes about STEM, and teach the most effective messages for STEM to girls.
Presented 8 April 2011 in Plano, Texas
The document discusses reasons for the low percentage of women in physics careers. It notes that girls are less likely than boys to choose strong math programs in high school and scientific fields in university. Women physicists are also less likely to receive mentoring and support needed for career success compared to their male peers. However, the document argues that women can have highly successful physics careers if barriers are removed and family obligations are better supported through flexible work policies and funding opportunities.
Women who choose Computer Science - what really mattersWBDC of Florida
Women who choose Computer Science - what really matters. The critical role of exposure and encouragement. Abstract
Google believes that a diverse workforce
leads to better products for diverse users,
and is especially committed to reversing
the negative trends around women in
Computer Science. To guide the company’s
outreach and investments in this space,
Google conducted a study to identify and
understand the factors that influence young
women’s decisions to pursue degrees in
Computer Science. It identified encouragement
and exposure as the leading factors
influencing this critical choice and learned
that anyone can help increase female
participation in Computer Science,
regardless of their technical abilities
or background.
This document presents a thesis exploring mentorship and retention of women in STEM fields. The introduction provides background on the underrepresentation of women in STEM jobs and degrees despite making up half the college-educated workforce. Key factors contributing to this discrepancy include lack of role models, gender stereotyping, and inflexible work environments. The purpose is to understand women's experiences in STEM and potential solutions. A literature review covers topics like gender stereotypes, career pathways, and the benefits of mentoring. The methodology section outlines a narrative study approach involving interviews with one woman in STEM. Overall, the thesis aims to gain insights into supporting greater participation of women in STEM.
Presentation by Dr. Mónica I. Feliú-Mójer, Manager of Outreach, Department of Biostatistics, University of Washington, Seattle at open forum discussing the challenges faced by women in science, particularly at the intersection of gender, race and culture.
December 3, 2013, Samuel Kelly Ethnic Cultural Center.
Event co-organized by Mónica I. Feliú-Mójer, Verónica Guajardo and Stephanie Gardner and sponsored by Department of Biostatistics, MESA Community College Program, Louis Stoke Alliance for Minority Participation and School of Public Health, Diversity Committee, all at the University of Washington.
Gender Prejudice Among University Majors PowerpointDDavis899
The document summarizes a study that examined gender prejudice among college majors. The study hypothesized that participants would exhibit prejudice towards the non-dominant gender of perceived gender dominant majors. It surveyed 24 students across 6 majors (2 male-dominated, 2 female-dominated, 2 neutral) using a 36-item questionnaire to assess perceptions of gender within each major. The results showed higher percentages of participants perceived gender prejudice in line with the stereotypes of male-dominated and female-dominated majors compared to neutral majors.
1Running head MEDIA INFLUENCE ON BODY IMAGE MEDIA INFLUEN.docxfelicidaddinwoodie
1
Running head: MEDIA INFLUENCE ON BODY IMAGE
MEDIA INFLUENCE ON BODY IMAGE
8
Media's influence on body image
Janet Hernandez
Introduction
The media and body image advertisement are two close concepts specifically; the body image advertising displays affects our body image. Despite other elements like parenting, education, intimate relationship influencing body image, media has the greatest impact. According to Diedrichs, (2012) Americans spends 250billion hours watching TV annually. Also, advertising occupies 30 % of all television airtime. Normal child watches 20,000 televisions commercial annually. In the print media, some magazines are filled with ads. In addition, social media has the highest of users compared to any other media globally. Anything seen for many hours influence us. As a result, media and body images are closely interrelated due to the numerous image we see in the media.
Wykes, M., & Gunter, B. (2015). The Media and Body Image: If Looks Could Kill. doi:10.4135/9781446215395
This article fits in the research topic because it covers the influence of advertisement in girls’ looks. It pinpoints that girls who like magazines, TVs are more likely to change and look like the persons in the magazines.
The article further discusses that the available applications have made it easy for persons to edit photos. This includes clearing blemishes, whitening of teeth, even to shaving off few pounds. For some users especially ladies, there is real problem in their body image. Additionally, this article postulates that notable percentage of people are changing their body images to match the ones in the media (Wykes & Gunter, 2015).
Levine, M. (2012). Media Influences on Female Body Image. Encyclopedia of Body Image and Human Appearance, 540-546. doi:10.1016/b978-0-12-384925-0.00085-7
As the title alludes, the article perfectly fits in this topic. This is because it covers how the female body image has been significantly influenced by the media. Also, it addresses how the females’ models have altered their body image. It provides an example where normal American woman is 5feet and 4inches and 166 pounds .In disparity, most model women are 5 feet and 11 inches in the media. The major question is how this disparity emerges. According to an interview conducted the major factor that influences this changes is the social media. This different stature and size is seen in the social media (Levine, 2012) .
Tiggemann, M. (2014). The Status of Media Effects on Body Image Research: Commentary on Articles in the Themed Issue on Body Image and Media. Media Psychology, 17(2), 127-133. doi:10.1080/15213269.2014.891822
This article is relevant as it pinpoints the media effects on body image. Again, it covers the how media has influenced the persons in different ways. One of the most notable topic covered in the article is the how girls in Fiji are affected by media. One survey in Fiji has shown that one in every ten girls have reported to have ...
This slideshare summarizes the article: The digital divide: the special case of gender. Cooper, J. (2007). The digital divide: The special case of gender. Journal of Computer Assisted Learning, 23. p. 320-334.
1) The document discusses challenges faced by women in computer science, both historically and currently. It notes that while the percentage of females in CS majors was increasing in the early days of computing, the rate has since decreased.
2) Some challenges discussed include outdated stereotypes that associate CS with masculinity, a lack of female peers and mentors, and weak secondary education in technology and computer science that discourages girls from pursuing the field.
3) Suggested solutions focus on increasing exposure of girls and young women to computing through outreach programs, mentoring, and making computer science education more interdisciplinary and applicable to a wide range of interests.
DIversity Gaps in Computer Science: Exploring the Underrepresentation of Girls, Blacks, and Hispanics. Google Report 2016. The Diversity Gaps in Computer Science: Exploring the Underrepresentation of Girls, Blacks, and Hispanics report
is essential given the announcement of President Obama’s bold new initiative, CS for All, in January of
this year (2016). The report contains the needed focus on women, Blacks, and Hispanics — three groups
that are underrepresented in computer science studies and the computing workforce. The report raises
awareness about the structural and social barriers for the target groups in computer science, based upon a
holistic assessment — surveying students, parents, teachers, principals, and superintendents.
read a research article by Chang, Luo, Walton, Aguilar, & Bailenso.docxaudeleypearl
read a research article by Chang, Luo, Walton, Aguilar, & Bailenson (2019) entitled “Stereotype Threat in Virtual Learning Environments: Effects of Avatar Gender and Sexist Behavior on Women's Math Learning Outcomes.”
1. What research question is being addressed in this study (it may not be stated explicitly, but try to put the basic question into your own words)?
1. What is the hypothesis?
2. What is the first independent variable?
3. What are the levels of the first IV?
4. What is the second independent variable?
5. What are the levels of the second IV?
6. What is the first dependent variable and how was it operationalized?
7. What is the second dependent variable and how was it operationalized?
9. List one quality of the study that indicates that it is an experimental design (vs. non-experimental or quasi-experimental design)?
10. Describe the participants in the study. How many participants are there? Where were the recruited from? Why did they participate?
11. In your own words what was the result of the study? Did they match the hypothesis?
12. What conclusions were drawn about human behavior? Go beyond simply re-stating the results. State the big-picture.
13. What is one possible confound in the study? Please explain your response.
Part 1 reading
LE Stereotype Threat in Virtual Learning Environments: Effects of Avatar Gender and Sexist Behavior on Women’s Math Learning Outcomes Felix Chang, BA,1 Mufan Luo, MA,2 Gregory Walton, PhD,1 Lauren Aguilar, PhD,1 and Jeremy Bailenson, PhD2 Abstract Women in math, science, and engineering (MSE) often face stereotype threat: they fear that their performance in MSE will confirm an existing negative stereotype—that women are bad at math—which in turn may impair their learning and performance in math. This research investigated if sexist nonverbal behavior of a male instructor could activate stereotype threat among women in a virtual classroom. In addition, the research examined if learners’ avatar representation in virtual reality altered this nonverbal process. Specifically, a 2 (avatar gender: female vs. male) · 2 (instructor behavior: dominant sexist vs. nondominant or nonsexist) between-subjects experiment was used. Data from 76 female college students demonstrated that participants learned less and performed worse when interacting with a sexist male instructor compared with a nonsexist instructor in a virtual classroom. Participants learned and performed equally well when represented by female and male avatars. Our findings extend previous research in physical learning settings, suggesting that dominant-sexist behaviors may give rise to stereotype threat and undermine women’s learning outcomes in virtual classrooms. Implications for gender achievement gaps and stereotype threat are discussed. Keywords: virtual reality, stereotype threat, social identity, virtual learning, gender Introduction Gender achieveme ...
Transition from College to Employment: Lived Employment Experiences and Perce...Dr. Brenda C Williams
This document summarizes a research study on the transition from college to employment for students with physical disabilities. It finds that students with disabilities have disproportionately high unemployment rates after graduation compared to the general population. The study aims to understand the lived experiences and perceptions of seniors and recent graduates with physical disabilities regarding how their disability influences their ability to obtain jobs. It also examines their perceptions of career services and preparation for the employment process. The methodology is a phenomenological study using interviews to understand participants' experiences and identify themes regarding barriers to employment for college students with physical disabilities.
The document discusses how the media (internet, television, magazines, billboards, etc.) influences body image and behaviors. It notes that women's bodies and parts are used to sell many products in media. Popular actresses are becoming younger, taller and thinner, with some even fainting from lack of food. Women's magazines promote the idea that women will have a perfect life if they lose 20 pounds. The media pressure is affecting both girls and boys as young as 5-6 who are engaging in dieting and unhealthy weight control behaviors. Nearly half of preadolescent girls wish to be thinner due to media and peer influences.
Issues in Information SystemsVolume XII, No. 2, pp. 67-73-.docxvrickens
The document summarizes research into differences in ethical beliefs between undergraduate and graduate MIS students. A survey was conducted using ethical scenarios to test hypotheses about differences between the groups. Results found some significant differences between male and female CIS students' ethical beliefs, but no differences between MBA and MS-CIS graduate students. The researchers concluded that gender differences in ethical beliefs supported other findings about higher rates of unethical behavior in males.
Running Head THE INFLUENCE OF MEDIA ON BODY IMAGE .docxagnesdcarey33086
Running Head: THE INFLUENCE OF MEDIA ON BODY IMAGE 1
THE INFLUENCE OF MEDIA ON BODY IMAGE 2
The Influence Media has on Body Image of Adolescent Girls
Michele Jackson
Argosy University
Professor Russo
December 11, 2013
1. Do the media influence adolescent girl’s body images?
2. Null Hypothesis: the media does not have an influence on adolescent girl’s body image. Alternate Hypothesis: the media does influence adolescent girl’s body image.
3. The correct sample size that will be used in the research is 385 adolescent girls. Determining the right sample size involves the calculation of the margin of error. The estimated margin of error at 95 percent confidence level that is a 5 percent chance that the results will be different is derived by 1/√N. N is the sample size. This means that a sample size of 10 will have a margin of error of 31.6 percent, but a sample size of 100 will have a 10 percent margin of error. This implies that the greater the N, the smaller the margin of error; therefore, the results of the research will useful (White & McBurney, 2013). A sample size of 385 participants is sufficiently large and is representative of the population, and limits extreme observations and the impacts of outliers. The inclusion characteristics include: they must be female, must be aged between 13 and 19 years and must be exposed to different forms of media. The exclusion characteristics are: history of any mental or personality disorder and history of drug use. The sample should be diverse. This is to make the sample representative of all adolescent girls.
4. The sampling technique that will be used in the study is random sampling. Random sampling is choosing a sample from the statistical population so that every sample that could be chosen has a predetermined chance of being chosen. This is the most appropriate sampling technique since it is the least unbiased of all sampling methods (Monsen et al, 2008). Additionally, there is no subjectivity is the technique because each member of the statistical population has an equal chance of being chosen. The sample will generalize to the entire adolescent girls’ population. This is the key advantage of random sampling because it is representative of the population. The only factor that can make the sample unrepresentative of the population is sampling error.
5. There are two variables in my study: the dependent and the independent variable. The dependent variable is the body image of adolescent girls, while the independent variable is the media. The body image of adolescent girls’ is the dependent variable because it is changed by factors such as the media. This is the variable being measured in the study. The independent variable is not affected by other factors or variables. The research is attempting to establish the relationship between media and adolescent girls’ body image. That .
This document provides instructions for creating charts in Excel. It explains how to select data, insert a chart, choose a chart type like bar or pie, format chart elements, and change colors. Examples are given for making a simple bar chart with two bars and formatting the legend, plot area, axes, and chart area. The data used in the chart comes from the National Center for Education Statistics in 2006 and is cited at the end.
1) Stereotyping of computer science as a male-dominated field has discouraged girls from pursuing related careers. Research shows using gaming to teach computing concepts at a young age and providing female mentors may help break down stereotypes.
2) Studies found that girls had lower self-efficacy and interest in computer science due to societal stereotypes. However, programs that used gaming to teach concepts and matched girls with STEM mentors were shown to increase girls' skills, knowledge of careers, and intentions to study STEM fields.
3) Research also found that using a female interface agent when teaching math and engineering concepts helped raise girls' self-efficacy, interest, and performance compared to groups without
How women’s unconscious process are effected in gender situationsTaty Christofi
1. The document discusses how gender stereotypes can negatively impact women's self-assessments of their competence and task performance through two mechanisms: internalizing negative stereotypes and being judged more harshly.
2. Stereotype threat is explored, where salient negative stereotypes about one's gender can impair performance by interfering with working memory capacity.
3. The document outlines some strategies found in studies to help address stereotypes, such as emphasizing diversity and broadening portrayals of careers.
What opportunities are available for girls in STEM careers? How do we increase girls’ awareness, spark their interest, and develop their confidence to pursue careers in STEM? This workshop will demonstrate how STEM disciplines are essential to our health, happiness, and safety, and will provide participants with tips and tools for talking to girls and their parents about opportunities in STEM. Interactive activities seek to reduce anxiety and bolster confidence in the GS leaders. Upon completion of the workshop, participants will be able to advocate careers in STEM to girls and their parents using correct and positive messages that appeal to students’ interests and values.
This workshop was presented as a part of the Girl Scouts STEM Conference, with the goal to create a statewide STEM initiative among the various GS regions. My task was to help the participants “get into the minds of girls,” share opportunities for girls in STEM, dispel stereotypes about STEM, and teach the most effective messages for STEM to girls.
Presented 8 April 2011 in Plano, Texas
The document discusses reasons for the low percentage of women in physics careers. It notes that girls are less likely than boys to choose strong math programs in high school and scientific fields in university. Women physicists are also less likely to receive mentoring and support needed for career success compared to their male peers. However, the document argues that women can have highly successful physics careers if barriers are removed and family obligations are better supported through flexible work policies and funding opportunities.
Women who choose Computer Science - what really mattersWBDC of Florida
Women who choose Computer Science - what really matters. The critical role of exposure and encouragement. Abstract
Google believes that a diverse workforce
leads to better products for diverse users,
and is especially committed to reversing
the negative trends around women in
Computer Science. To guide the company’s
outreach and investments in this space,
Google conducted a study to identify and
understand the factors that influence young
women’s decisions to pursue degrees in
Computer Science. It identified encouragement
and exposure as the leading factors
influencing this critical choice and learned
that anyone can help increase female
participation in Computer Science,
regardless of their technical abilities
or background.
This document presents a thesis exploring mentorship and retention of women in STEM fields. The introduction provides background on the underrepresentation of women in STEM jobs and degrees despite making up half the college-educated workforce. Key factors contributing to this discrepancy include lack of role models, gender stereotyping, and inflexible work environments. The purpose is to understand women's experiences in STEM and potential solutions. A literature review covers topics like gender stereotypes, career pathways, and the benefits of mentoring. The methodology section outlines a narrative study approach involving interviews with one woman in STEM. Overall, the thesis aims to gain insights into supporting greater participation of women in STEM.
Presentation by Dr. Mónica I. Feliú-Mójer, Manager of Outreach, Department of Biostatistics, University of Washington, Seattle at open forum discussing the challenges faced by women in science, particularly at the intersection of gender, race and culture.
December 3, 2013, Samuel Kelly Ethnic Cultural Center.
Event co-organized by Mónica I. Feliú-Mójer, Verónica Guajardo and Stephanie Gardner and sponsored by Department of Biostatistics, MESA Community College Program, Louis Stoke Alliance for Minority Participation and School of Public Health, Diversity Committee, all at the University of Washington.
Gender Prejudice Among University Majors PowerpointDDavis899
The document summarizes a study that examined gender prejudice among college majors. The study hypothesized that participants would exhibit prejudice towards the non-dominant gender of perceived gender dominant majors. It surveyed 24 students across 6 majors (2 male-dominated, 2 female-dominated, 2 neutral) using a 36-item questionnaire to assess perceptions of gender within each major. The results showed higher percentages of participants perceived gender prejudice in line with the stereotypes of male-dominated and female-dominated majors compared to neutral majors.
1Running head MEDIA INFLUENCE ON BODY IMAGE MEDIA INFLUEN.docxfelicidaddinwoodie
1
Running head: MEDIA INFLUENCE ON BODY IMAGE
MEDIA INFLUENCE ON BODY IMAGE
8
Media's influence on body image
Janet Hernandez
Introduction
The media and body image advertisement are two close concepts specifically; the body image advertising displays affects our body image. Despite other elements like parenting, education, intimate relationship influencing body image, media has the greatest impact. According to Diedrichs, (2012) Americans spends 250billion hours watching TV annually. Also, advertising occupies 30 % of all television airtime. Normal child watches 20,000 televisions commercial annually. In the print media, some magazines are filled with ads. In addition, social media has the highest of users compared to any other media globally. Anything seen for many hours influence us. As a result, media and body images are closely interrelated due to the numerous image we see in the media.
Wykes, M., & Gunter, B. (2015). The Media and Body Image: If Looks Could Kill. doi:10.4135/9781446215395
This article fits in the research topic because it covers the influence of advertisement in girls’ looks. It pinpoints that girls who like magazines, TVs are more likely to change and look like the persons in the magazines.
The article further discusses that the available applications have made it easy for persons to edit photos. This includes clearing blemishes, whitening of teeth, even to shaving off few pounds. For some users especially ladies, there is real problem in their body image. Additionally, this article postulates that notable percentage of people are changing their body images to match the ones in the media (Wykes & Gunter, 2015).
Levine, M. (2012). Media Influences on Female Body Image. Encyclopedia of Body Image and Human Appearance, 540-546. doi:10.1016/b978-0-12-384925-0.00085-7
As the title alludes, the article perfectly fits in this topic. This is because it covers how the female body image has been significantly influenced by the media. Also, it addresses how the females’ models have altered their body image. It provides an example where normal American woman is 5feet and 4inches and 166 pounds .In disparity, most model women are 5 feet and 11 inches in the media. The major question is how this disparity emerges. According to an interview conducted the major factor that influences this changes is the social media. This different stature and size is seen in the social media (Levine, 2012) .
Tiggemann, M. (2014). The Status of Media Effects on Body Image Research: Commentary on Articles in the Themed Issue on Body Image and Media. Media Psychology, 17(2), 127-133. doi:10.1080/15213269.2014.891822
This article is relevant as it pinpoints the media effects on body image. Again, it covers the how media has influenced the persons in different ways. One of the most notable topic covered in the article is the how girls in Fiji are affected by media. One survey in Fiji has shown that one in every ten girls have reported to have ...
This slideshare summarizes the article: The digital divide: the special case of gender. Cooper, J. (2007). The digital divide: The special case of gender. Journal of Computer Assisted Learning, 23. p. 320-334.
1) The document discusses challenges faced by women in computer science, both historically and currently. It notes that while the percentage of females in CS majors was increasing in the early days of computing, the rate has since decreased.
2) Some challenges discussed include outdated stereotypes that associate CS with masculinity, a lack of female peers and mentors, and weak secondary education in technology and computer science that discourages girls from pursuing the field.
3) Suggested solutions focus on increasing exposure of girls and young women to computing through outreach programs, mentoring, and making computer science education more interdisciplinary and applicable to a wide range of interests.
DIversity Gaps in Computer Science: Exploring the Underrepresentation of Girls, Blacks, and Hispanics. Google Report 2016. The Diversity Gaps in Computer Science: Exploring the Underrepresentation of Girls, Blacks, and Hispanics report
is essential given the announcement of President Obama’s bold new initiative, CS for All, in January of
this year (2016). The report contains the needed focus on women, Blacks, and Hispanics — three groups
that are underrepresented in computer science studies and the computing workforce. The report raises
awareness about the structural and social barriers for the target groups in computer science, based upon a
holistic assessment — surveying students, parents, teachers, principals, and superintendents.
read a research article by Chang, Luo, Walton, Aguilar, & Bailenso.docxaudeleypearl
read a research article by Chang, Luo, Walton, Aguilar, & Bailenson (2019) entitled “Stereotype Threat in Virtual Learning Environments: Effects of Avatar Gender and Sexist Behavior on Women's Math Learning Outcomes.”
1. What research question is being addressed in this study (it may not be stated explicitly, but try to put the basic question into your own words)?
1. What is the hypothesis?
2. What is the first independent variable?
3. What are the levels of the first IV?
4. What is the second independent variable?
5. What are the levels of the second IV?
6. What is the first dependent variable and how was it operationalized?
7. What is the second dependent variable and how was it operationalized?
9. List one quality of the study that indicates that it is an experimental design (vs. non-experimental or quasi-experimental design)?
10. Describe the participants in the study. How many participants are there? Where were the recruited from? Why did they participate?
11. In your own words what was the result of the study? Did they match the hypothesis?
12. What conclusions were drawn about human behavior? Go beyond simply re-stating the results. State the big-picture.
13. What is one possible confound in the study? Please explain your response.
Part 1 reading
LE Stereotype Threat in Virtual Learning Environments: Effects of Avatar Gender and Sexist Behavior on Women’s Math Learning Outcomes Felix Chang, BA,1 Mufan Luo, MA,2 Gregory Walton, PhD,1 Lauren Aguilar, PhD,1 and Jeremy Bailenson, PhD2 Abstract Women in math, science, and engineering (MSE) often face stereotype threat: they fear that their performance in MSE will confirm an existing negative stereotype—that women are bad at math—which in turn may impair their learning and performance in math. This research investigated if sexist nonverbal behavior of a male instructor could activate stereotype threat among women in a virtual classroom. In addition, the research examined if learners’ avatar representation in virtual reality altered this nonverbal process. Specifically, a 2 (avatar gender: female vs. male) · 2 (instructor behavior: dominant sexist vs. nondominant or nonsexist) between-subjects experiment was used. Data from 76 female college students demonstrated that participants learned less and performed worse when interacting with a sexist male instructor compared with a nonsexist instructor in a virtual classroom. Participants learned and performed equally well when represented by female and male avatars. Our findings extend previous research in physical learning settings, suggesting that dominant-sexist behaviors may give rise to stereotype threat and undermine women’s learning outcomes in virtual classrooms. Implications for gender achievement gaps and stereotype threat are discussed. Keywords: virtual reality, stereotype threat, social identity, virtual learning, gender Introduction Gender achieveme ...
Transition from College to Employment: Lived Employment Experiences and Perce...Dr. Brenda C Williams
This document summarizes a research study on the transition from college to employment for students with physical disabilities. It finds that students with disabilities have disproportionately high unemployment rates after graduation compared to the general population. The study aims to understand the lived experiences and perceptions of seniors and recent graduates with physical disabilities regarding how their disability influences their ability to obtain jobs. It also examines their perceptions of career services and preparation for the employment process. The methodology is a phenomenological study using interviews to understand participants' experiences and identify themes regarding barriers to employment for college students with physical disabilities.
The document discusses how the media (internet, television, magazines, billboards, etc.) influences body image and behaviors. It notes that women's bodies and parts are used to sell many products in media. Popular actresses are becoming younger, taller and thinner, with some even fainting from lack of food. Women's magazines promote the idea that women will have a perfect life if they lose 20 pounds. The media pressure is affecting both girls and boys as young as 5-6 who are engaging in dieting and unhealthy weight control behaviors. Nearly half of preadolescent girls wish to be thinner due to media and peer influences.
Issues in Information SystemsVolume XII, No. 2, pp. 67-73-.docxvrickens
The document summarizes research into differences in ethical beliefs between undergraduate and graduate MIS students. A survey was conducted using ethical scenarios to test hypotheses about differences between the groups. Results found some significant differences between male and female CIS students' ethical beliefs, but no differences between MBA and MS-CIS graduate students. The researchers concluded that gender differences in ethical beliefs supported other findings about higher rates of unethical behavior in males.
Running Head THE INFLUENCE OF MEDIA ON BODY IMAGE .docxagnesdcarey33086
Running Head: THE INFLUENCE OF MEDIA ON BODY IMAGE 1
THE INFLUENCE OF MEDIA ON BODY IMAGE 2
The Influence Media has on Body Image of Adolescent Girls
Michele Jackson
Argosy University
Professor Russo
December 11, 2013
1. Do the media influence adolescent girl’s body images?
2. Null Hypothesis: the media does not have an influence on adolescent girl’s body image. Alternate Hypothesis: the media does influence adolescent girl’s body image.
3. The correct sample size that will be used in the research is 385 adolescent girls. Determining the right sample size involves the calculation of the margin of error. The estimated margin of error at 95 percent confidence level that is a 5 percent chance that the results will be different is derived by 1/√N. N is the sample size. This means that a sample size of 10 will have a margin of error of 31.6 percent, but a sample size of 100 will have a 10 percent margin of error. This implies that the greater the N, the smaller the margin of error; therefore, the results of the research will useful (White & McBurney, 2013). A sample size of 385 participants is sufficiently large and is representative of the population, and limits extreme observations and the impacts of outliers. The inclusion characteristics include: they must be female, must be aged between 13 and 19 years and must be exposed to different forms of media. The exclusion characteristics are: history of any mental or personality disorder and history of drug use. The sample should be diverse. This is to make the sample representative of all adolescent girls.
4. The sampling technique that will be used in the study is random sampling. Random sampling is choosing a sample from the statistical population so that every sample that could be chosen has a predetermined chance of being chosen. This is the most appropriate sampling technique since it is the least unbiased of all sampling methods (Monsen et al, 2008). Additionally, there is no subjectivity is the technique because each member of the statistical population has an equal chance of being chosen. The sample will generalize to the entire adolescent girls’ population. This is the key advantage of random sampling because it is representative of the population. The only factor that can make the sample unrepresentative of the population is sampling error.
5. There are two variables in my study: the dependent and the independent variable. The dependent variable is the body image of adolescent girls, while the independent variable is the media. The body image of adolescent girls’ is the dependent variable because it is changed by factors such as the media. This is the variable being measured in the study. The independent variable is not affected by other factors or variables. The research is attempting to establish the relationship between media and adolescent girls’ body image. That .
This document provides instructions for creating charts in Excel. It explains how to select data, insert a chart, choose a chart type like bar or pie, format chart elements, and change colors. Examples are given for making a simple bar chart with two bars and formatting the legend, plot area, axes, and chart area. The data used in the chart comes from the National Center for Education Statistics in 2006 and is cited at the end.
Carol Bartz: Leader in Computer & Web Developmentcronegeek
Slide show about Carol Bartz, former CEO of Autodesk and Yahoo. Part of series by students in SCSU Women and Computers class about women's contributions to the development of computers and the web.
1) The document is a draft PowerPoint presentation about Ada Lovelace, the first computer programmer, created for a women and computing class.
2) It provides biographical details of Lovelace's life and education, and describes how she wrote the first computer program for Charles Babbage's Analytical Engine, a precursor to the modern computer.
3) The presentation uses maps and images to illustrate Lovelace's time and accomplishments, and the last slides warn against enlarging images too much which can distort them.
Graphics in PowerPoint 2007 allows you to add callouts and graphics to slides. When using callouts, you must insert a textbox over the callout to type text, unlike in Word where you can type directly into a callout. You can insert clipart and then crop it to only show certain parts, or increase the size of clipart. You can also draw your own graphics using different shapes like rectangles, circles, and triangles to create original drawings.
Overview & selected highlights of Women and Computers course at St. Cloud State University. Gender, Race & Class Perspectives. How Social Justice Activists use the Web. Computer skills, free software & online Web tools.
How to import videos, trim/make clips (excerpts) from long videos, use the storyboard, difference between project files (MWSMM files) and actual movie (WMV files)
The document discusses the digital divide, defined as unequal access to computers and the internet. It presents data showing gaps between demographic groups in areas like home computer ownership, internet use, and access in schools. Specifically, people of color and those from low-income backgrounds often have less access. The document also examines how educational software and teaching styles can unintentionally favor boys over girls. This can contribute to the underrepresentation of women in computer science fields. Addressing these inequities could help reduce gaps in the digital divide.
The document provides tips for organizing notes in Microsoft Word using heading styles and the document map view. It recommends using heading styles to title each note and the document map view to display note titles in the left pane. Notes can then be grouped by similar topics using heading styles, with style 2 for main categories and style 3 for sub-categories. This allows easy searching and viewing of collected information by topic.
LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
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Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
Walmart Business+ and Spark Good for Nonprofits.pdfTechSoup
"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
In this webinar, participants learned how to utilize Generative AI to streamline operations and elevate member engagement. Amazon Web Service experts provided a customer specific use cases and dived into low/no-code tools that are quick and easy to deploy through Amazon Web Service (AWS.)
Leveraging Generative AI to Drive Nonprofit Innovation
Androcentric Bias Computers
1. Androcentric Norms and Computer Science Prepared for WS445 – Spring 2010 St. Cloud State University by the “cronegeek”
2. Stats - Why Source: NCWIT “By the Numbers” 2009
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Editor's Notes
Source: NCWIT - National Center for Women & Information Technology. “By the Numbers.” 2009. Retrieved 3/31/10 from http://www.ncwit.org/pdf/BytheNumbers09.pdf
Source; NCWIT - National Center for Women & Information Technology, Fact Sheet, (no date) . Retrieved 3/31/10 from http://www.ncwit.org/about.factsheet.html Additional stats, comparing women in math & other science fields to computer science at http://www.ncwit.org/pdf/BytheNumbers09.pdf
Source: for entering CS Majors at Carnegie Mellon Margolis, Jane, Allan Fisher, and Faye Miller. “The Anatomy of Interest: Women in Undergraduate Computer Science.” Women’s Studies Quarterly , 2000: 1&2, 104-127.
Source:: Margolis, Jane, Allan Fisher, and Faye Miller. “Caring About Connections: Gender and Computing.” Retrieved 1/26/06 from http://www.cs.cmu.edu/~gendergap/papers/IEEE99.html (Also published in Technology and Society 2000)