Claims:We claim:
1) The system and method for blended learning by using big data technology is comprising of the contents such as;
a. Any computing device with high definition;
b. Any open-source framework like Hadoop for data analysis which stored data on big data; and
c. The web application for blended learning
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, big data analytics are enhancing real-time data related to student actions, such as how long he/she take online lectures, how long he/she do offline work or practice.
4) The system claimed in claim 1 wherein, helps institution to create customized program for student.
, Description:FIELD OF THE INVENTION
The present invention discloses the system and method for blended learning 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 blended learning.
BACKGROUND OF THE INVENTION
Learning is the process of acquiring new, or modifying existing, knowledge, behaviours, skills, values, or preferences. The nature and processes involved in learning are studied in many fields, including educational psychology, neuropsychology, experimental psychology, and pedagogy.
Blended learning is a style of education in which students learn via electronic and online media as well as traditional face-to-face teaching.
Blended courses also known as hybrid or mixed-mode courses are classes where a portion of the traditional face-to-face instruction is replaced by web-based online learning.
Blended learning offers the learner convenience and flexibility; they have the ability to control their learning pace and learn remotely. Academic research suggests that blended learning gives learners a more comprehensive understanding of the course content.
The present invention gives the help or method for blended learning.
The present invention discloses the system and method for blended learning by using big data technology. With the help of big data, customized programs for each individual student can be created. Even if colleges and universities have lakhs of students, customized programs can be created for each of these students. This is possible with the help of what is called as blended learning – a combination of online and offline learning. This gives students the opportunity to follow classes that they are interested in and also work at their own pace, while still having the possibility for offline guidance by professors.
OBJECT OF THE INVENTION
The main object of the invention is, system and method for blended learning by using big data technology.
Another object of the invention is, big data analytics analyses real time data related to student learning whether it would be online or offline.
Other object of the invention is, by using big data customized programs for each individual student can be created which is called as blende learning.
SUMMARY OF THE INVENTION
The present invention discloses system and method for blended learning by using big data technology. Big data analytics allow for real-time data related to student learning for both online as well as offline. Big data analytics are enhancing real-time data related to student learning, such as which part or syllabus student will learn online and which part or syllabus student will learn offline. As a result, institutions are able to create customise program of learning means blended learning for student 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 blende learning 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 blended learning.
The system and method for blended learning by using big data technology is comprising of the contents such as;
Any computing device with high definition
The web application of blended learning
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 blended learning by using big data technology is comprising of the steps are as;
Step 1) The web application of blended learning is created
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 in learning
Step 6) Institution member can create customized program for particular selected student
Role of Big data in invention application is as:
Big data analytics allow for real-time data related to student learning behaviour for whole course. Big data analytics are enhancing real-time data related to student actions, such as how long he/she take online lectures, how long he/she do offline work or practice. As a result, institutions are able to create customized program for particular selected student in a much better-informed manner. In directly, it helps student in blended learning.
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 learning and behaviour for whole course.
Big data analytics are enhancing real-time data related to student actions, such as how long he/she take online lectures, how long he/she do offline work or practice.