Levels of physical activities among the population are consistently going down, with the number of overweight people with related health issues on a rise. Part of the reason for adults rarely choosing sports or at least walking for leisure lies with problems in Physical Education in schools and colleges.
PE is often viewed as an unnecessary or joyless activity that may be skipped for more important subjects. But concern for the health of the young people should push educational institutions to change this scenario.
One possible approach is a change of the instructional methods for deep learning, which shows great benefits for physical education classes, research shows.
Is There Really a Problem?
Kids in the US have physical education classes from early childhood in pre-schools, through school years, and in college as well. In better-equipped and better-financed school districts there is a multitude of options for various sports activities to try and choose from, from ballet dancing to rowing.
Data shows that around 57% of high school students participate in one or more school or community sports teams per year. But what happens with all that when kids turn into college students and then into adults?
Statistics point out that in different states in the US rates of physical inactivity among adults vary from 15% to 47%. That means that in some regions almost half of the people over 18 years old do not have any physical activities for leisure outside of working hours. The data differs significantly based on ethnicity and income levels, so, of course, there are lots of possible causes of such disastrous numbers.
What may come out of such a lack of appreciation for sports and physical exercises? Physical inactivity may lead to obesity, type 2 diabetes, higher risks of cardiovascular diseases, and lower immunity level.
With COVID-19 still around, there is some data showing the higher chances of hospitalization and oxygen use for patients with excessive weight or diabetes.
What is Physical Education in College is Looking Like
Any kind of physical activity is good for the human brain. In layman terms, why you’re loading your muscles or figuring out the team sport, new neural connections are being formed and brain regions responsible for analysis and decision making are “training” too.
This is common knowledge nowadays as proven by multiple research papers and studies, conducted, among others by US universities. Just look at the huge number of related topics on the websites for college essay writing service. However, the very same universities fail to integrate Physical Education as a required course into their curricula.
Only some universities have required credits for physical activities to get a degree. Those that do, suggest quite a wide variety of choices. Of course, there are also credited intercollegiate team sports, contributing to a degree.
It seems, that no matter the exact cause of the problem, the educational system failed to cultivate a healthy habit of physical activity at least for part of the youth.
Deep Learning for Physical Education
No mechanical repetitive actions ever stay with us as positive enjoyable habits. The same goes for sport and any physical activity as such. Unfortunately, for years pedagogical paradigm was didactic and teacher-centered for all subjects, including PE.
Such an approach presumes to dump the whole volume of a given topic on a student with direct instruction on methodology for assignment completion. There is no place for independent decisions or choices of mental tools for specific tasks.
It is easily observable with students applying to Superiorpapers for writing an essay just because they don’t have the necessary skills to break the subject into digestible ideas to express their opinions about.
Totally different instructional model is deep learning. This educational theory implies more intentional and dedicated efforts for cracking new concepts. When traditional teaching chooses a superficial understanding of definitions and aims for good performance at tests, deep learning strives for the development of creativity and higher cognitive skills.
We talk about analyzing, deduction, synthesis, comparison, constructing the arguments, etc. Dozens of detailed articles explaining the theory are available online. Or you can order a condensed summary of thematic research from thesis writing services to save your time digging for trustworthy sources.
Benefits of Deep Learning for PE
It may seem, that deep learning is only great for more theoretical in-class subjects, like math or linguistics. But it’s totally the opposite. Students thrive in Physical Education classes both in school and in colleges.
The success of the approach is based on the following:
- students’ freedom to choose the area of interest for sport or exercising fosters higher involvement and stronger sense for responsibility;
- students get to define their goals for exercising and criteria for progress evaluation;
- teamwork is encouraged and streamlined when the smaller groups can decide which game will be played by one of them, while another deals with exercises;
- failure in some exercise or sport is viewed as a task of finding more efficient approaches to get better at it, not as a finite judgement of abilities;
- optimization of time and efforts both of students and teacher is possible through individual approach to every student.
Deeper learning becomes possible by providing smaller chunks of information and breaking more complex processes into stages realistic for the specific advancement level of a young person.
Battling all the reasons for poor physical activity over the country is an enormous task. But starting with changes in physical education for college students is quite feasible. Moreover, the described deep learning theory affects students’ performance in classes outside of PE. As deep learning promotes high cognitive skills, those are transferable to any science and activity.