How does technology differ from science

In this article excerpt, we are going to discuss all the important differences between science and technology. Basis for Comparison Science Technology Meaning Science is a methodical way of gaining knowledge on a particular subject, through observation and experiments. Technology alludes to the practical application of the scientific knowledge for various purposes.

What is it? It is the process of exploring new knowledge. It is the use of laws of science to create new products. Effect It is useful It can be useful or harmful. Change Does not changes. Changes continuously Stresses on Discovery Invention Deals with Study of structure and behavior of natural and physical world, to create premises. Putting those premises into practice. Method of evaluation Analysis, deduction and theory development Analysis and synthesis of design. Use Used to make predictions Simplify the work and fulfill the needs of people.

The word science is explained as a system of obtaining knowledge, through experimentation and observation, so as to elucidate natural phenomena. It is a methodical and rational approach to exploring, What are the objects present in the universe?

How do they work? It is a discipline that has several branches like physics, chemistry, biology, geology, botany, psychology and so on. In simple terms, science is the set of knowledge gained by way of analysis about all the things existing around us. The knowledge is based on facts and evidence, relating to the subject, rather than opinions and personal choices.

And so, the statements and laws generated by science cannot be challenged, as they are well observed and tested. Science can be used in the development of latest technology, cure diseases and solve many other problems. Research is continuously made, to expand our scientific knowledge, which leaves a room of question for further investigation.

Engineering students, their lifestyle. Technology Versus School Teachers. IOT and its application. Pros of online learning E-Learning. Human skills in administration Gyanendra Shravan November 12, Farmers protest Gaargi Tomar November 7, Recently Joined Bloggers Sofia Jahan. Mufliz Khan. Dynamic skills. Gajaraj Gartia. This explains the purpose and function of statistical significance tests in psychology.

For any observed difference, a significance test enables a researcher to calculate the probability that a difference at least as large as the observed difference could occur by chance alone. The researcher then knows what the probability is of such a large difference under the null hypothesis — the working hypothesis that the independent variable has no effect.

If this immensely powerful idea were more widely understood, then people would be less vulnerable to illusory correlation , more sceptical about merely anecdotal evidence, and capable of interpreting findings from any survey research, case study, correlational study, observational study, or quasi-experiment with appropriate caution.

It is sustained by the increasingly popular doctrine that neuroscience can in principle replace traditional psychology, that it is already replacing traditional psychology, or in its strongest form that it has already replaced traditional psychology.

This is a debilitating form of reductionism , based on the assumption that behaviour and mental experiences are closely correlated with neural processes, especially in the brain; but locating a mechanism in the brain does not amount to explaining the associated psychological phenomenon, as I can easily show with a Gedankenexperiment thought experiment and an example from nature.

First, imagine a super-intelligent alien trying to understand a working computer busy printing out my Dictionary of Psychology on a laser printer. Second, purposeful behaviour can occur naturally without any involvement of neural mechanisms.

For example, the unicellular paramecium , found abundantly in stagnant ponds, moves about, avoids obstacles by swimming round them, gathers food, and retreats from danger. It can turn round in a glass tube to escape, and it can even learn from experience, although some neuroscientists unsurprisingly question whether this is true learning.

Yet a paramecium has no nervous system, and its single cell is not even a neuron ; therefore, it provides conclusive evidence that neuroscience cannot explain all forms of behaviour. I find thousands of the entries fascinating, but the entry defining heuristic , together with the various specific heuristics cross-referenced from it, describes ideas that have fascinated others sufficiently to be rewarded with the only two Nobel prizes ever awarded for purely psychological research.

A heuristic is a rough-and-ready procedure or rule of thumb for making a decision, forming a judgement, or solving a problem, and we all use heuristics all the time. The US researcher Herbert Simon introduced the term in its modern psychological sense in to explain how human decision makers with bounded rationality solve problems when they do not have the time or resources to examine all available possibilities thoroughly, and he received the first Nobel Prize for this work.

Two decades later, the Israeli-American psychologists Amos Tversky and Daniel Kahneman discovered and investigated experimentally a large number of biases in human thinking that can be traced to particular heuristics, and in Kahneman was rewarded for this work with the second Nobel Prize, Tversky having died a few years earlier. A typical example is the conjunction fallacy : undergraduate students were shown personality sketches of a hypothetical person called Linda young, single, deeply concerned about social issues, and involved in anti-nuclear activity and asked whether it was more probable that Linda was a bank teller or that Linda was a bank teller who was active in the feminist movement.

The fallacy arises from the use of the representativeness heuristic , according to which people estimate the probability that something belongs to a particular class by judging how typical it is of that class.