Improvement of education system with the aid of fuzzy logic | Adamas University

Improvement of education system with the aid of fuzzy logic

Education, Mathematics

Improvement of education system with the aid of fuzzy logic

Nowadays, the education system has become commercial. The educational institutes are now the source of income to the societies. In fact, it becomes one of the business hubs for many. Each and every year, lot of Engineering, Medical, Management institutions are established. In order to maintain it properly and to bag high amount of profits, the fee structure is quite high in these institutions, yet quality of education is not available in each institute. In the present scenario, cost is one aspect, globalization is another important aspect. Students are free to go anywhere in the country as well as in the world and do the job according to their own choice.

Why quality of education is needed?

It is quite challenging for the Indian students to compete international students. It is now necessary to deliver quality of education for the students to improve the current education system such that they can compete anyone and they will become globally recognized person.

What to do?

UGC has created some rules/parameters to ensure quality of education delivered to the learners.  First of all, it is necessary to understand the quality of teachers and students of the country. Once students’ as well as the teachers’ qualities are known, it can be enhanced by improving the weaknesses.

What makes a good teacher?

Academicians are the Nation Builders. Their role is not only to improve the subject knowledge but also to make the students a very good human being. In a word, teachers are responsible for the overall development of their students. Recently, the teachers’ role has moved from one where they know everything to one where teachers must be continuously learning and reflective on their. The role of teachers in the education system would be the most influential aspect to improve students’ satisfaction, performance. A teacher can improve teaching skills, through pre-service teaching qualification, training, and career expertise.

Where is the problem?

Students have to study various subjects during the academic year.  They have to successfully complete this task and also they have to develop skills involving the management of imprecision like heuristics for learning and data memory techniques, strategies for relating different information, reasoning by analogy to solve the problem based on similar or previously solved questions, etc. This is a challenging task as it involves implicit rather than explicit, approximate rather than crisp reasoning. Moreover, in every specific discipline, many arguments may have inaccurate and incomplete data which requires approximation and tuning. On the other hand, the characterizations of teachers’ performance at each state of the model of teaching process is not numeric rather it is linguistic (good, bad, etc). So, quantification of these linguistic term is necessary.

Can Fuzzy Logic improve the quality of Education?

The main aim of fuzzy logic is to introduce propositions which are not necessarily true or false, rather it is logic closer to reality, able to capture natural languages (good, bad, young, hot, etc), it breaks the dichotomic world. Similar to any logic, fuzzy logic deals with argumentation, but unlike other modalities which concerns crisp reasoning of mathematics, whereas fuzzy logic deals with approximate reasoning. The logic of teaching has formed a part of mainstream education for many years, wherein fuzzy logic is a much more recent inclusion to the education system. Fuzzy Logic has that much contribution in the education system which can change the common believeness that mathematics are far from reality. Following are strong evidence of this fact.

  • To evaluate academicians, a model based on fuzzy logic is proposed which is not only consider the parameters suggested by the statuary bodies like UGC but also taking into account the parameters from the students’ perspective, e.g. subject knowledge, creativity, satisfaction, discipline, etc (https://pdfs.semanticscholar.org/e6f1/87ca85821ebc5b3a72c239b764bf2a5f56e9.pdf).
  • The quality of learning and teaching Mathematics is one of the challenging aspects to the educators. People believe that the formal mathematical teaching comes from the very exactness of the science of Mathematics as a result there is no possible space in Mathematics for any lack or abundance of information, or vagueness. However, a teacher’s teaching skill about the various Mathematics teaching methodology concepts is usually imperfect, characterized by a different degree of depth related to subject knowledge or way of delivery. This suggests that the application of fuzzy set theory in Mathematics teaching could be a very promising tool in order to represent such situations and get useful conclusions (https://pdfs.semanticscholar.org/b329/5306cdc2ce19718e679f65e96b137d6c7123.pdf).
  • Soft computing represents the combination of emerging problem solving technologies like fuzzy logic, neural networks, evolutionary algorithms, etc. For evaluating teachers’ overall performance a soft computing model is introduced by using fuzzy logic (DOI: 10.4172/2165-7866.1000199).

Source of figure: DOI: 10.4172/2165-7866.1000199

Conclusion:

 

Every institute should make such a unique platform/model to provide facility of   interaction between students and course instructors.  This platform can measure the degree of students’ engagement with the delivered study materials and teaching-learning activity. Teachers’ overall performance can be evaluated by course content, presentation, classroom management, students’ feedback, involvement in the research work, etc. This information is highly valuable for improvement of the current status of the system. It is a truly challenging task due to the high levels of uncertainties related to this context. Fuzzy logic based model can handle these uncertainties more robustly.  

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