Do you know about - Gender Differences In learning Style specific To Science, Technology, Engineering And Math - Stem
Academy Of Art University Online! Again, for I know. Ready to share new things that are useful. You and your friends.There are gender differences in learning styles definite to science, math, engineering and technology (Stem) that teachers of these subjects should keep in mind when developing chapter plans and teaching in the classroom. First, overall, girls have much less touch in the hands-on application of learning principles in lab settings than boys. This could occur in the computer lab, the science lab, or the auto lab – the principle is the same for all of these settings – it requires an thorough technology problem-solving schema, accompanied by use and manipulation of tools, and spatial relation skills that very few girls bring with them to the classroom on day one in comparison to boys.
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Let’s look at some of the reasons why girls come to the Stem classroom with less of the core skills needed for success in this branch area. Overall, girls and boys play with distinct kinds of games in early childhood that supply distinct types of learning experiences. Most girls play games that emphasize relationships (i.e., playing house, playing with dolls) or creativity (i.e., drawing, painting). In contrast, boys play computer and video games or games that emphasize construction (i.e., Lego®), both of which manufacture problem-solving, spatial-relationship and hands-on skills.
A study of gender differences in spatial relations skills of engineering students in the U.S. And Brazil found that there was a large disparity between the skills of female and male students. These studies attributed female student’s lesser skills set to two statistically valuable factors: 1) less touch playing with construction toys and 2) having taken less drafting courses prior to the engineering program. Spatial relations skills are valuable to engineering. A gender study of computer science majors at Carnegie-Mellon University (one of the renowned computer science programs in the country) found that, overall, male students come adequate with much good computer skills than female students. This equips male students with a valuable advantage in the classroom and could impact the confidence of female students.
Are these gender differences nature or nurture? There is valuable evidence that they are nurture. Studies show that most leading computer and video games petition to male interests and have predominantly male characters and themes, thus it is not surprising that girls are much less curious in playing them. A study of computer games by Children Now found that 17% of the games have female characters and of these, 50% are either props, they tend to faint, have high-pitched voices, and are highly sexualized.
There are a whole of studies that propose that when girls and women are in case,granted with the construction blocks they need to supervene in Stem they will do as well if not good than their male counterparts. An initial Engineering Robotics class found that while males did somewhat good on the pre-test than females, females did as well as the males on the post-test following the class’s completion.
Another valuable area of gender divergence that teachers of Stem should keep in mind has less to do with actual skills and touch and more to do with perceptions and confidence. For females, confidence is a predictor of success in the Stem classroom. They are much less likely to withhold interest if they feel they are incapable of mastering the material. Unfortunately, two factors work against female confidence level: 1) most girls will indubitably have less touch with Stem procedure content than their male counterparts and 2) males tend to overplay their accomplishments while females minimize their own. A study done of Carnegie Mellon Computer Science PhD students found that even when male and female students were doing equally well grade wise, female students reported feeling less comfortable. Fifty-three percent of males rated themselves as “highly prepared” in divergence to 0% of females.
It is leading to note that many of the learning style differences described above are not strictly gender-based. They are instead based on differences of students with a background in Stem, problem-solving, and hands-on skills learned from childhood play and life touch and those who haven’t had the same type of exposure. A spin of the literature on minority students and Stem finds that students of color are less likely to have the Stem background experiences and thus are missing many of the same Stem construction blocks as girls and have the same lack of confidence. Many of the Stem curriculum and pedagogy solutions that work for female students will also work for students of color for this reason.
Bridge Classes/Modules to Ensure Core Skills
Teachers will likely see a gap in the core Stem skills of female and minority students for the reasons described above. Below are some solutions applied elsewhere to ensure that girls and women (and students of color) will get the construction block Stem skills that many will be missing.
Teachers in the Cisco Academy Gender Initiative study assessed the skill levels of each of their students and then in case,granted them with individualized chapter plans to ensure their success that ran parallel to the class assignments. Other teachers taught key skills not included in the curriculum at the starting of the course, such as calculating math integers and tool identification and use. Students were in case,granted with additional lab time, staffed by a female teaching assistant, knowing that the female students would disproportionately advantage from additional hands-on experience.
Carnegie-Mellon University came to view their curriculum as a continuum, with students entering at distinct points based on their background and experience. Carnegie-Mellon’s new frame of a “continuum” is purposefully distinct than the original negative model in which classes start with a high bar that necessitates “remedial” tutoring for students with less experience, stigmatizing them and undermining their confidence. Below is a list of ideas and suggestions that will help All students to supervene in the Stem classroom.
1. construction Confidence
How do teachers build confidence in female students who often have less touch than their male counterparts and comprehend they are behind even when they are not?
1) Practice-based touch and study has shown that ensuring female students have the occasion to gain touch with Stem, in a supportive environment, will increase their confidence level.
2) Bringing in female role models that have been thriving in the Stem field is another leading parallel strategy that should be used to support your female students in looking themselves as capable of mastering Stem classes: if she could do it, then I can too!
3) Consistent obvious reinforcement by Stem teachers of their female students, with a obvious expectation of outcome, will support them in hanging in there during those difficult starting weeks when they have not yet developed a technology schema or hands-on proficiency and all things they undertake seems like a huge challenge.
2. Sharp to Female Interests
Many of the typical Stem activities for the classroom petition to male interests and turn off girls. For example, curriculum in robots often involves monsters that explode or cars that go fast. “Roboeducators” observed that robots complicated in performance art or are characterized as animals are more Sharp to girls. Engineering activities can be about how a hair dryer works or designing a playground for those with disabilities as well as about construction bridges. Teachers should consider using all types of examples when they are teaching and incorporating activities in efforts to petition female and male interests. Teachers can also direct students to come up with their own projects as a way of ensuring girls can work in an area of significance to them.
Research also shows that there are Mars/Venus differences between the genders and how each engages in technology. Overall, girls and women are excited by how the technology will be used – its application and context. Men will discuss how big the hard drive or machine is, how fast the processor runs, and turn over the merits of one motherboard or machine versus another. These are topics that are, overall, of less interest to most females.
The Carnegie-Mellon Study took into catalogue the differences of what engages female students and modified the Computer Science programs’ curriculum so that the context for the schedule was taught much earlier on in the semester and moved some of the more technical aspects of the curriculum (such as coding) to later in the semester. Authors observed that the female students were much more obvious about getting through the tedious coding classes when they understood the purpose of it. Teachers should ensure that the context for the technology they are teaching is addressed early on in the semester by using real world stories and case studies to capture the interest of all of their students.
3. Group Dynamics in the Classroom
Research studies by American relationship of University Women and Children Now have found that most females prefer collaboration and not competition in the classroom. Conversely, most males greatly enjoy competition as a formula of learning and play. Many hands-on activities in technology classes are set up as competitions. Robotics for example, regularly uses competitiveness as a methodology of teaching. Teachers should
be cognizant of the preference of many girls for collaborative work and should add-in these types of exercises to their classes. Some ways to do this are by having students work in assigned pairs or teams and having a team grade as well as an private grade. (See Reading 2 on Cooperative Learning.)
Another Mars/Venus dynamic that Stem teachers should be aware of occurs in the lab there male students will regularly dominate the tool and females will take notes or plainly watch. Overall, male students have more touch and thus confidence with hands-on lab tool than their female counterparts. Teachers should create situations to ensure that their female students are spending an equal whole of time in hands-on activities. Some approaches have been: 1) to pair the female students only with each other during labs in the starting of the class semester so that they get the hands-on time and their confidence increases, putting them in a good position to work effectively with the male students later on, 2) allot a definite time for each pupil in pair to use the lab tool and announce when it’s time to switch and monitor this, and 3) supply feedback to male students who are taking over by letting them know that their partner needs to do the activity as well.
4. Sharp Female Students from Passive Learners to Proactive qoute Solvers
The main skill in Stem is qoute solving in hands-on lab situations. For reasons already discussed regarding a lack of experience, most girls don’t come to Stem classes with these problem-solving skills. Instead, girls often want to be shown how to do things, repeatedly, rather than experimenting in a lab setting to get to the answer. Adding to this issue, many girls fear that they will break the equipment. In contrast, male students will often jump in and manipulate the tool before being given any instructions by their teacher. Teachers can address this by such activities as: 1) having them take apart old tool and put it together again, 2) creating “scavenger hunt” exercises that force them to navigate through menus, and 3) emphasizing that they are learning the qoute solving process and that this is equally leading to learning the content of the chapter and insisting that they figure out hands-on exercises on their own.
Research has also shown that females tend to engage in Stem activities in a rote, smaller photograph way while males use higher order mental skills to understand the bigger photograph and the relationship between the parts. Again, Sharp female students (and the non-techsavvy pupil in general) to become qoute solvers (versus just insight the content piece of the Stem puzzle) will move them to use higher order mental skills in Stem.
Finally, many teachers have reported that many female students will often want to understand how all things relates to each other before they move into activity in the lab or move through a chapter plan to unblemished a definite activity. The female students try to avoid production mistakes along the way and will not only want to read the documentation needed for the lesson, they will often want to read the whole manual before taking any action. In contrast, the male pupil often needs to be convinced to look at the documentation at all. Boys are not as concerned with production a mistake a long the way as long as what they do ultimately works. The disadvantage for female students is that they often are so worried about insight the whole photograph that they don’t move onto the hands-on activity or they don’t do it in a timely fashion, so that they are consistently the last ones in the class to finish. Teachers can support female (and non-tech-savvy) students to move through class material more speedily by providing study on how to speedily scan for only the valuable information needed to unblemished an assignment.
5. Role Models
Since the numbers of women in Stem are still small, girls have very few opportunities to see female role models solving science, technology, engineering or math problems. Teachers should bring female role models into the classroom as guest speakers or teachers, or visit them on business tours, to send the message to girls that they can supervene in the Stem classroom and careers.
Bibliography
Medina, Afonso, Celso, Helena B.P. Gerson, and Sheryl A. Sorby. “Identifying Gender Differences in the 3-D Visualization Skills of Engineering Students in Brazil and in the United States”. International Network for Engineering Eucation and study page. 2 August 2004: [http://www.ineer.org/Events/Icee/papers/193.pdf].
Milto, Elissa, Chris Rogers, and Merredith Portsmore. “Gender Differences in confidence Levels, Group Interactions, and Feelings about Competition in an initial Robotics Course”. American community for Engineering study page. 8 July 2004: [http://fie.engrng.pitt.edu/fie2002/papers/1597.pdf].
“Fair Play: Violence, Gender and Race in Video Games 2001”. Children Now page. 19 August 2004: [http://www.childrennow.org/media/video-games/2001/].
“Girls and Gaming: Gender and Video Game Marketing, 2000”. Children Now page. 17 June 2004: [http://www.childrennow.org/media/medianow/mnwinter2001.html].
Tech-Savvy: Educating Girls in the New Computer Age. District of Columbia: American relationship of University Women Educational Foundation, 2000.
Margolis, Jane and Allan Fisher. Unlocking the Computer Clubhouse: Women in Computer. Cambridge, Ma: The Mit Press, 2003.
Taglia, Dan and Kenneth Berry. “Girls in Robotics”. Online Posting. 16 September 2004: http://groups.yahoo.com/group/roboeducators/.
“Cisco Gender Initiative”. Cisco learning Institute. 30 July 2004: [http://gender.ciscolearning.org/Strategies/Strategies_by_Type/Index.html].
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