Showing posts with label teaching science. Show all posts
Showing posts with label teaching science. Show all posts

Friday, July 18, 2014

Are We Teaching Math and Science too Early in our schools?

 When did you fall in love with science? Did you find a science passion from a teacher in your early years of school?

Personally I found my passion when I was a child thanks to my mother. She taught me to observe butterflies, and we spent hours watching, reporting and measuring changes of caterpillars, butterflies and eggs.

My teachers didn’t do too much to light my fire about science in fact, they never talked about science, so my only one deeper knowledge came watching the TV show Cosmos. Nobody can deny the value of science for education, economics and countries progress, or how much education is working to engage children in math and science, and how difficult is find the right way to do it, but certainly education must find new strategies, and this example comes from UK.

The British newspaper The Guardian published few days ago a note about a new model to teach science titled Maths and science 'should be studied up to age 18', which has opened a huge, debate about when and who should teach science in UK classrooms.  The title is “Maths and science “should be studied up to age 18” explaining briefly recommendations of a committee of education experts of the UK National Academy of science.

These recommendations are particularly important coming from UK. since they have a high level on teaching, research, development and inversion in science with Oxford, and Cambridge Universities as example of their quality.

The main argument of the report Vision for science and mathematics education is based on the fact that analytical and problem-solving skills acquired by studying mathematics and science should be introduced by an inspirational curricula at the heart of the laboratories and places where this knowledge is generated, where researchers and theorist work every day.

The main debate is focused on a question, who should teach science?

This reminds me Carl Sagan, when he wrote in his book The Demon-Haunted World: Science as a Candle in the Dark (1995) that science was not inspiring for him during his first years at school, but he found that passion when he began to be in touch with people doing science.

My story is similar. I didn’t find passion for science until I began to study my PhD, maybe because all those hours watching butterflies had sense between persons trying to understand everything about the brain.

I am sure many of us share similar stories. What can we learn from a checking list written on a book? What can a teacher see wrong only following the book? Should students believe with faith what books say? Books never talks about deadlines, or a short budget; books never fail trying to convince to others that our research is viable, needed and possible; books never talks about how to convince to other researchers and participants that our method is correct.

Learning science from a book is like learning how to write with a teacher that does not read our ideas. Teachers are not scientist!, but don’t take it wrong!, teachers have a very different, important and amazing work: teach to learn, and in some cases, teaching to motivate and keep us in the classrooms, and if we have any doubt of their work, let’s see the number of students who left classrooms every year, adding more and more pressure to unemployment and violence at any country.

A good teacher will inspire, a good teacher is an example of life. A good scientist will show us a different world, a world of service, a world where our ideas are useful.

The cited report includes critical analyses about how students see science, for example “84% agree that science is a such a big part of our lives that we should all take interest”. Science is not a note on an exam; science is not a label on a product. Science changes and save lives!

“72% of students agree that is important to know about science in their daily lives”. Isn’t our goal? People would take better medical and daily decisions, or maybe I should say: people would know the right to take decisions.

“55% did not feel informed”. No matter how much work scientists can do writing notes every day about science, public doesn’t feel engage with them, part of it because in general, people do not see themselves as scientists and this is something that a person with an obsession about any field can spread.

“21% of the people in the UK workforce need scientific knowledge and training to do their current jobs”. Science must leave the comfortable and warm space of universities and colleges; science must be in streets and in every home, because it allows countries to grow.

Can we create scientific literacy nations? Can we develop knowledge and understanding of scientific concepts and processes required for personal decision making, participation in civic and cultural affairs, and economic productivity? No doubt!, there is enough history and strategies to reach that goal. Some countries have been more successful than others, and as UK is showing, even those with high level of science development can auto evaluate their skills and make them better.

Human beings are curios by nature, and scientists are like children repeating questions. We shouldn’t stop children’ questions, we need to engage creativity in classrooms because is an important part of the process of finding new ideas and solving challenges.  We need that in schools as preparation to define a problem, find the right method and innovate to find solution to our every day problems.

I hope many countries can analyze carefully the report, because probably many new scientists will find a path with this model, especially because focus on grasp concepts at an earlier age and then move on to the complicated things in a higher level of science can be a good strategy, instead trying to teach everything in the first years. In addition learning from modeling and not only with a book can be more inspiring.

If you could change the way science is taught in your country, who would be teach science? Who can share more passion, a teacher or a scientist when we have a question about the universe or biology?

Thursday, September 12, 2013

Abstract thought: making simple the complexity


By: Alma Dzib Goodin & Daniel Yelizarov
 
It seems that everything is smart nowadays, there is smart phones, smart TVs and an algorithm for everything. Mathematics and physics begins to flood our lives in unexpected ways!, but at the same time, there are less students interested in scientific careers, particularly physics and mathematics.

What do make so  complex this body of knowledge?, are they too abstract?, can we make them accessible to students?, are there people elected for these areas?, why are so problematic for education?.

It seems a huge problems is the fact they have to do nothing  with the environment of most of persons, however, if we wish to solve problems in the modern world, people generally require the ability to reason and understand complex systems. Although it seems easy to use a smart phone, seems we only have to touch an icon and thousands of things happen, it is important to determine the nature of the task to perform and make it more practical and efficient as possible.

The modern world ask us for information and decision-making in everyday how to buy milk. Who not is has felt lost when you are asked to buy milk?, what type of milk?, do lactose-free?, with flavor?, do low-fat?, to 2%?, would milk with much fat?, do soy milk?, only to see the options anyone goes crazy with the information!.

This is just a simple example of the number of variables we process every day, and recent research show that all this is learned from a very young age and all those skills should be exploited in science education.

But let’s going by parts!,  what do make special to those persons capable to understand complex or abstract thinking?, the answer may seem absurd, in fact it is: the most difficult of comprehension of complex or abstract thinking is to make it simple .

Experts learn to play with the information, recognizing the relevant and separating it from the irrelevant, creating patterns of response from logical chains of tasks, sounds it is not so simple?, well just remember the steps you followed to find this paper and start to read it. To do this, try to  use a process that allows you to follow the chain of previous events on your own steps to reach the goal of a task. This process is called Metacognition .

We have mentioned in different forums that success at any area, namely scientific, sporting, or artistic does not depend on intelligence as some make us think, that myth is broken under the value of something much more powerful: motivation.

When people stop  think that they are not suitable for a task, trying to establish a personal chain of responses and reach a successful outcome, they are able to repeat this task, sometimes in an addictive way, feeling themselve suitable for this purpose. At that time they will have found their talent. They will be able to make explicit the implicit, they take control of the actions and begin to design the relevant steps to accomplish the tasks.

Take the example of the complex science, such as physics or understanding of mathematical language. The first meeting may seem hard, we don't understand the message, but once we get to understand this new language and all the patterns, it is like reading posts on Facebook.

So the most important thing to make the complex in a simple way is: understanding the tasks, including the language. 

Another step is to understand the value of imagination. In physics, there are many things that we cannot see or touch in reality, sometimes we only imagine from a systematic language. An example of this is the theory of relativity, which it could not be ascertained until the a photograph of an eclipse was taken and made obvious a curve of light produced over objects,  but to get to this,  scientists had to imagine the effect and look for a source to observe this phenomenon.

The next step is to forget the myth that only a few can be chosen for the areas of science, or women cannot be researchers, or the best teachers are women. Come on!, which book  has written we can not open a gap?,  How can we know this is not possible if have we not tried it?.

Science has many areas that have been drawn badly for few persons, but if you are able to find the simplicity of the variables, imagine the possibilities, connect the dots and create chains of response into routine, the same way we do it every day, why not give accept that anyone can do science?, there is a great future ahead when you choose the right path.

There are no chosen by science, some people choose to do  science and  they have a lot of fun!, because contrary to the image that the scientist is a frustrated nerd with worldly things, with a complicated existence,  when we are asked to buy milk and nobod tell us  exactly what type of milk you want, we have no idea what brand is the best!, after all  milk is milk, right?.

REFERENCIAS:

González García, J. (2013) Imagination: A creative tool to achieve meaningful understanding of new information. Global Journal of Human Social Science Linguistic & Education. 13 (8) 70-79.

Gopnik, A. (2012) Scientific thinking in Young children: Theoretical advances, empirical research, and policy implications. Science. 337 (6120) 1623-1627.

Joyner, DA., Majerich, DM., & Goel AK. (2013) Facilitating authentic reasoning about complex systems in middle school science education. Procedia Computer Science. 16.  1043-1052.

Kim, YR., Park, MS., Moore, TJ., Varma, S. (2013) Multiple levels of metacognition and their elicitation through complex problema-solving task. The journal of Mathematical Bheavior. 32 (3) 377-396.

Luna Hogan. D. (2013) Mirando a través de la física. Disponible en red: http://centrodeasesoriasytutoriasenlnea.blogspot.com/2013/08/mirando-el-mundo-traves-de-la-fisica_23.html

Silvia, PJ., Beaty, RE., & Nusbaum, EC. (2013) Verbal fluency and creativity: General and specific contributions of broad retrieval ability (Gr) factors to divergent thinking. Intelligence. 41 (5) 328-340.