As a follow up to the below post, I got a question asking me to provide an example on what it means to have a...
As a follow up to the below post, I got a question asking me to provide an example on what it means to have a balancing act between theory and practice.
https://plus.google.com/111375717217714398633/posts/2PEQ3qFDyzd
Let us look at an example to address this question.
Recently, I was working on a math problem with my daughter. The problem goes like this:
There are 10 birds on a tree. A hunter takes aim at the birds, and shoots one. How many birds are left now?
Right before doing this math problem (coincidence), while having a discussion with my daughter about birds that come regularly to feed on our bird feeder units hanging in the patio of our house, we noticed that all birds flew away as soon as the birds heard any noise or disturbance.
Taking this real world example, my daughter answered zero vocally to the above math question, while also answering 9 based on simple math in the book. If she were to write 0 in a real test, most probably, the answer would be marked wrong.
Though a simple example, it clearly outlines the importance of understanding the problem and asking right questions while solving problems, and the reality of the situation need not be completely defined by mathematics in all situations.
This is the art aspect of data science as well, that we have been emphasizing for a long time.
Originally shared by VAL-U-PRO CONSULTING GROUP, LLC - SRIKANTH KIDAMBI
"Many people opt for the line which has been arguably attributed to Kant,
"theory without practice is empty; practice without theory is blind".
Others prefer the view attributed to Marx that,
"practice without theory is blind, theory without practice is sterile".
Langeveld writes that,
"theory without practice is for geniuses, practice without theory is for fools and rogues",
but for the majority of educators the intimate and unbreakable union of both is necessary" (1979 p. 17, quoted in Van Maanen, Qualitative Methodology)
#Kant #Marx #Education #Theory #Langeveld #Practice #Research #VanMaanen #SSK #Val-U-Pro #Amma #AAAA #Mega #Ecosystem
https://plus.google.com/111375717217714398633/posts/2PEQ3qFDyzd
Let us look at an example to address this question.
Recently, I was working on a math problem with my daughter. The problem goes like this:
There are 10 birds on a tree. A hunter takes aim at the birds, and shoots one. How many birds are left now?
Right before doing this math problem (coincidence), while having a discussion with my daughter about birds that come regularly to feed on our bird feeder units hanging in the patio of our house, we noticed that all birds flew away as soon as the birds heard any noise or disturbance.
Taking this real world example, my daughter answered zero vocally to the above math question, while also answering 9 based on simple math in the book. If she were to write 0 in a real test, most probably, the answer would be marked wrong.
Though a simple example, it clearly outlines the importance of understanding the problem and asking right questions while solving problems, and the reality of the situation need not be completely defined by mathematics in all situations.
This is the art aspect of data science as well, that we have been emphasizing for a long time.
Originally shared by VAL-U-PRO CONSULTING GROUP, LLC - SRIKANTH KIDAMBI
"Many people opt for the line which has been arguably attributed to Kant,
"theory without practice is empty; practice without theory is blind".
Others prefer the view attributed to Marx that,
"practice without theory is blind, theory without practice is sterile".
Langeveld writes that,
"theory without practice is for geniuses, practice without theory is for fools and rogues",
but for the majority of educators the intimate and unbreakable union of both is necessary" (1979 p. 17, quoted in Van Maanen, Qualitative Methodology)
#Kant #Marx #Education #Theory #Langeveld #Practice #Research #VanMaanen #SSK #Val-U-Pro #Amma #AAAA #Mega #Ecosystem