Claims:We claim:
1) The system and method for improving student result by using big data technology is comprising of the contents such as;
a. Backend server – An application of improving student result is installed at backend server;
b. Any open-source framework like Hadoop for data analysis which stored data on big data; and
c. An application of improving student result
2) The system claimed in claim 1 wherein, it gives all real-time information of student to institution member.
3) The system claimed in claim 1 wherein, it analyses the information related to student actions, such as how long they take to answer a question, which scores they use for exam preparation, which questions do they skip.
, Description:FIELD OF THE INVENTION
The present invention discloses the system and method for improving student result by using big data technology. The invention is related to education sector, which are now well developed due to upcoming technologies. Big data is one of the best technologies which can be effectively used for improving student result.
BACKGROUND OF THE INVENTION
Student outcomes are the intended goals of a course, program, or learning experience; in the second case, student outcomes are the actual results that students either achieve or fail to achieve during their education or later on in life.
Each student goes through twelve years of schooling and certain years of colleges in studying for courses of their interest but the most common thing they have to face is giving exams and getting good results for their better life. Good result also helps in enhancing your shift from school to college.
A student result processing system is an automated digital solution for planning, preparing and evaluating examinations.
Currently, result system is just calculating marks or grades to see how particular student is getting the knowledge of particular subject or syllabus. But it is really an old fashion. As technology become more and more advanced, it also changes criteria of educational system. Which produces lot of data related to single student to judge student’s capability, under stability and knowledge for particular subject.
The present invention gives the solution to above problem.
The present invention discloses the system and method for improving student result by using big data technology. As technology and educational standards evolve, big data systems help teachers to better understand human behaviour and form new conclusions. As a result, understanding the latest trends in education and big data analysis are of growing importance for educators.
The most common use of big data is in the area of academic success, which typically involves using course enrolment patterns and grades, as well as other demographic information to predict a student’s risk score. As a result, institutions are able to focus efforts in a much better-informed manner.
OBJECT OF THE INVENTION
The main object of the invention is, system and method for improving student’s result by using big data technology.
Another object of the invention is, big data analytics analyses real time data related to student progress for whole course.
Other object of the invention is, Big data analytics are enhancing real-time data related to student actions, such as how long they take to answer a question, which sources they use for exam preparation, which questions do they skip.
SUMMARY OF THE INVENTION
The present invention discloses system and method for improving student result by using big data technology. Big data analytics allow for real-time data related to student progress for whole course. Big data analytics are enhancing real-time data related to student actions, such as how long they take to answer a question, which sources they use for exam preparation, which questions do they skip. As a result, institutions are able to focus efforts in a much better-informed manner.
BRIEF DESCRIPTION OF THE INVENTION
Fig 1 shows flowchart of the method and computer program for this invention.
DETAILED DESCRIPTION OF THE INVENTION
The present invention discloses the system and method for improving student result in supply chain by using big data technology.
Big data is the vast volume of structured or unstructured data that is readily available at our collective fingertips. These large data sets are analysed to reveal previously unknown patterns and provide insights into businesses, human behaviour, and more. Big data analysis is used for everything from financial services, to gauging someone’s productivity, to even monitoring the weather.
The key feature of big data is to analyse, understand and interpret it in order to give user a full a picture as possible about the student result.
The system and method for improving student result by using big data technology is comprising of the contents such as;
Backend server – An application of improving student result is installed at backend server
An application of improving student result
Any open-source framework like Hadoop for data analysis which stored data on big data
Big data consists of five stages such as-
Data sources- web and social media, machines, Sensing, IoT
Content format – structured, semi-structured, unstructured data
Data stores – document oriented, column oriented, graph database, key value
Data Staging – cleaning, transform and normalization
Data processing – Batch and real time
The system and method for improving student result by using big data technology is comprising of the steps are as;
Step 1) Backend server has to be installed improving student result application
Step 2) Institution member open the invention application
Step 3) Institution member select particular student from the list of students
Step 4) Institution member can see information provided by big data related to selected student
Step 5) System helps to institution member in tracking the record and behaviour of selected student
Role of Big data in invention application is as:
Big data analytics allow for real-time data related to student progress for whole course. Big data analytics are enhancing real-time data related to student actions, such as how long they take to answer a question, which sources they use for exam preparation, which questions do they skip. As a result, institutions are able to focus efforts in a much better-informed manner. Also, these and similar to these questions can be answered automatically and instantly, giving each student instant feedback.
In the digital classroom, educators use big data technology to collect information about students and develop customized learning plans. This servers as an especially beneficial resources for educators charged with steering the learning paths of classes that are growing in size.
The invention application has advantage, such as;
The most common use of predictive analytics is in the area of academic success, which typically involves using course enrolment patterns and grades, as well as other demographic information to predict a student’s risk score. As a result, institutions are able to focus efforts in a much better-informed manner.
Big data analytics give all real-time data related to student progress for whole course.
Big data analyses the information related to student actions, such as how long they take to answer a question, which scores they use for exam preparation, which questions do they skip.