PATENTS:
https://drive.google.com/drive/folders/1_LwViA_54_ZOJVT8Zr2DQTxl6QKmykNT?usp=sharing
FORM 2
THE PATENT ACT, 1970 (39 of 1970)
&
The Patent Rules, 2003 COMPLETE SPECIFICATION
(See section 10 and rule 13)
1. TITLE OF THE INVENTION:
Online Teaching System Using Artificial Intelligence and Digital Pad
2. APPLICANT:
Name: 1. Mrs. Komma Anitha 2. Mr. Mohammad Arshad
3. Dr. K. Prasanthi Jasmine 4. Mrs. Y.Aditya
5. Mrs. Sreelakshmi Vadlamudi
Nationality: 1. Indian 2. Indian 3. Indian 4. Indian 5. Indian
Address: 1. Associate Professor, Department of ECE, Prasad V Potluri Siddhartha Institute of Technology, Kanuru, Vijayawada, Andhra Pradesh, India- 520007.
2. Research scholar, Department of CSE, KLEF (Deemed to be University), Green Fields, Vaddeswaram, Guntur, Andhra Pradesh, India-522502.
3. Professor, Department of ECE, Andhra Loyola Institute of Engineering and Technology, I.T.I Road, Vijayawada, Andhra Pradesh, India- 520008.
4. Assistant Professor, Department of Computer Science and Engineering, Gudlavalleru Engineering College, Seshadrirao Knowledge Village, Gudlavalleru, Andhra Pradesh, India- 521356.
5. Assistant Professor, Department of ECE, Gudlavalleru Engineering College, Gudlavalleru, Krishna, Andhra Pradesh, India- 520007.
3. PREAMBLE TO THE DESCRIPTION:
The following specification particularly describes the invention and the manner in which it is to be performed:
4. DESCRIPTION:
Field of the invention:
[0001] The present disclosure generally relates to the technical field of an online teaching field, in specific relates to an online teaching system that monitors and assesses students interaction with the online class.
Background of the invention:
[0002] Traditionally, teachers use chalk and talk teaching approach, in which the teacher conveys information to students by talking to them and by writing on a blackboard. In the traditionally method of teaching students have to go to school to get the education. Due to the outbreak of COVID-19, an unprecedented number of children, youth and adults are not attending schools or universities. Governments in lots of countries have announced or implemented the closure of educational institutions in an attempt to control the spread of the disease.
[0003] Many educational institutions have opted the online tutoring or online classes to minimize the educational disruption and facilitate the continuity of learning. However, even this way teaching has many issues. Teachers have difficulty in monitoring and interacting with students. Teachers are unable to get accurate information on whether the students are able to understand the classes or not. Students have difficulty in keeping up with online courses, as they lose interest because there is less possibility for interaction between teacher and students.
[0004] One more issue that the teachers face is, when the student is unable to respond to the question that teacher has asked because of poor internet connection or any other external reasons.
[0005] An existing system uses a camera above each classroom to monitor the students in the class and analysing their behaviour during class. The camera captures the facial expressions of the students then sends to deep learning server. The deep-learning server uses deep-learning algorithms to identify each student’s face and classify their behaviour
into five categories such as listening, answering the questions, writing, interacting with other students, or sleeping.
[0006] The data collected by this system on the behaviour of the students is then transmitted to teacher or parent mobiles through a software application. Further, the system also records the students attendance rate when the camera recognizes the students face. However, this system is only suitable as long as the students would go to the school as the camera that analyses students behaviour is fixed above the class rooms.
[0007] Even though the online classes has minimized the educational disruption and facilitated the continuity of learning. However, the proper class monitoring and proper interactions are the major issues faced by both teachers and students.
[0008] Therefore, there is a need for a system that allows teacher to monitor whether a student understands a topic during the class based on facial expression of the student. There is a need a system that analysis quick response from the student for the question raised by the teacher. A system is needed that can rate the student’s understanding based on facial expression and quick response from the student.
Objectives of the invention:
[0009] The primary objective of the invention is to provide an online teaching system that is capable of scanning student’s facial expression and transmit this data to teacher, indicating whether the student understands a topic during class.
[0010] The other objective of the invention is to provide a digital pad for real time interaction between teacher and student during class, where student is allowed answers the question raised by teacher.
[0011] Another objective of the invention is to provide an online teaching system that allows teacher to assign tasks to student and even send important information to parents to their mobile.
[0012] Another objective of the invention is to provide an online teaching system that ranks the students understanding of a topic on the bases of the facial expression of the student and quick response given by student on digital pad.
[0013] Another objective of the invention is to provide an online teaching system that analysis the facial expression of student using artificial intelligence image algorithm and transmits this data to teacher.
[0014] Yet another objective of the invention is to provide an online teaching system which allows teacher to unlock digital pad during classes through a maters application.
[0015] Further objective of the invention is to provide an online learning system based on artificial intelligence that automatically records attendance of the students by scanning their faces.
Summary of the invention:
[0016] The present disclosure proposes an online teaching system using artificial intelligence and digital pad. The following presents a simplified summary in order to provide a basic understanding of some aspects of the claimed subject matter. This summary is not an extensive overview. It is not intended to identify key/critical elements or to delineate the scope of the claimed subject matter. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
[0017] In order to overcome the above deficiencies of the prior art, the present disclosure is to solve the technical problem to provide an online teaching system using artificial intelligence and digital pad which monitors and assesses student interaction with the online class and rank them based on the assessments.
[0018] According to an aspect, the invention provides an online teaching system which comprises an image recognition module and is configured for recognising and analysing facial expressions of students. A task module is configured to allow teacher to assign at least one task in real time to the students during an online class, a task reply module is configured
to allow the students to enter response to at least one task which is given by the teacher through digital pads connected at students end devices. A time calculation module is configured to calculate the time taken by each student to respond to the at least one task given by the teacher. A correlation module is configured to correlate each student’s facial expression analysed by the image recognition module and the calculated response time of the corresponding student by the time calculation module.
[0019] A ranking module is configured to rank the students for interaction towards the online class by using trained learning algorithm based on correlated data from the correlation module for some iteration. A memory module is configured to store data of each student in a remote sever for further access. The online teaching system uses an artificial intelligence in combination with the digital pad to establish a real time interactive online class between the teacher and students.
[0020] The online teaching system is an application that is suitable for conducting online classes by using various electronic devices such as a mobile or a laptop or a computer with webcam. The online teaching system further allows the teacher to send important information to the student’s parents to their mobile. The image recognition module preforms analysis on the facial expressions by using an artificial intelligence imaging algorithm. The at least one task is delivered orally or displayed at the students end devices by the teacher using the task module.
[0021] The digital pad is either a digital writing and drawing pad or an electromagnetic handwritten plate which gets activated only during online class hours in a specific session by the teacher. The digital pad and the online teaching system are connected through the remote server. The digital pad is connected to the teacher’s master application system so that the teacher can view the writings of students in real time. The ranking is provided to the teacher in real time either in the form of numbers or percentages.
[0022] According to another aspect, the invention provides a method for an online teaching system. First, an online class is started by teacher. Next, activating digital pads of students end devices is carried out by the teacher. Next, an image recognition module scans facial
expressions of the students during class, then analyses the facial expressions and sends to the teacher. The teacher assigns at least one task through a task module. Next, the students responds to the at least one task through a task reply module using the digital pads.
[0023] Next, calculation of the time taken to respond to the at least one task by the students is carried out. Later, correlation is done on the analysed facial expressions of the students and time taken to respond to the at least one task. Finally, ranking of each student is done on the basis of correlated data which indicates the students interaction towards the online class.
[0024] Further, objects and advantages of the present invention will be apparent from a study of the following portion of the specification, the claim s, and the attached drawings.
Detailed description of drawings:
[0025] The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate an embodiment of the invention, and, together with the description, explain the principles of the invention.
[0026] FIG. 1 illustrates a block diagram of an online teaching system using artificial intelligence in accordance to an exemplary embodiment of the invention.
[0027] FIG. 2 illustrates a process flow diagram of the online teaching system in accordance to an exemplary embodiment of the invention.
Detailed invention disclosure:
[0028] Various embodiments of the present invention will be described in reference to the accompanying drawings. Wherever possible, same or similar reference numerals are used in the drawings and the description to refer to the same or like parts or steps.
[0029] The present disclosure has been made with a view towards solving the problem with the prior art described above, and it is an object of the present invention to provide an
online teaching system using artificial intelligence and digital pad which monitors and assesses student interaction with the online class and rank them based on the assessments.
[0030] According to an exemplary embodiment of the invention, FIG. 1 refers to a block diagram of an online teaching system 100 using artificial intelligence which comprises an image recognition module 101 that is configured to recognise and analyse facial expression of students, a task module 102 that is configured to allow teacher to assign at least one task to the students during an online class, a task reply module 103 that is configured to complete the task given by the teacher. A time calculation module 104 is configured to calculate the time taken to give response. A correlation module 105 that is configured to correlate the student’s facial expression and time of response to the task from the task reply module 103, a ranking module 106 which is configured to rank the students on the basis of correlated data, and a memory module 107.
[0031] The image recognition module 101 is configured to scan student’s facial expression during an online class through cameras of students end devices and analyse the scanned facial expression using artificial intelligence imaging algorithm. Where the image recognition module 101 analyzes or detects whether the students are listening and understanding the class. Through the image recognition module 101, attendance of the students is automatically recorded by the system by scanning student’s face. The memory module 107 is used for storing data of each student in a remote sever for further access.
[0032] Teachers can assign at least one task or multiple tasks through the task module 102. The at least one task is delivered orally or displayed on a screen of the students end devices. The at least one task can be a question about a topic of the class in the form of either fill in the blanks or short answers. The students are allowed to complete the at least one task through the task reply module 103 using digital pads connected to the students end devices. The students write on the digital pads to enter response of the at least one task given by the teacher.
[0033] The digital pad is connected to the teacher’s master application system so that the teacher can view the written response of the students in real time. The time calculation
module 104 is configured to calculate the time taken by each student to respond to the at least one task given by the teacher. The correlation module 105 correlates the analysed facial expression by the image recognition module 101 and the time taken to respond to the at least one task by every student.
[0034] The ranking module 106 ranks the students for interaction towards the online class using a trained learning algorithm based on the correlated data from the correlation module 105 for some iterations. The online teaching system 100 trains itself using some iterations and identifies whether the students understand or paying attention to the class. The ranking is provided in real time either in the form of numbers or percentages to the teacher.
[0035] The online teaching system 100 is an application suitable for conducting online classes using various electronic devices such as a mobile or a laptop or a computer with webcam. The students have to download this application in their respective electronic device to take the online classes. While registering in this application, an alternative number of the student’s parents will be taken and any important information or tasks will be provided to their parent’s numbers.
[0036] The digital pad which allows the students to complete the task can be a digital writing and drawing pad or an electromagnetic handwritten plate or a writing tablet, which gets activated only during online class hours in a specific session by the teacher through a master application.
[0037] According to another exemplary embodiment of the invention, FIG. 2 refers to a process flow diagram of the online teaching system 200. At step 201, the students and the teacher log into an online class. Next at step 202, the digital pad is activated by the teacher. At step 203, the image recognition module scans and analyses the student’s facial expression and send it to teacher. At step 204, the teacher assigns at least one task to the students through the task module. At step 205, the students complete at least one task using the digital pads. Next at step 206, the correlation module, correlates the analysed facial expressions and time taken to respond to the at least one task by the students. Finally at step 207, ranking module ranks the students on basis of the correlated data indicating the
students interaction towards the online class and sent to the teacher in a form of either numbers or percentages.
[0038] According to another exemplary embodiment of the invention, the online teaching system 100 is an application based on artificial intelligences where the students and the teachers login to start the online class using their respective electronic devices. The digital pad which is either a digital writing and drawing pad or an electromagnetic handwritten plate or a writing tablet which gets activated during the online class through the teacher’s master application. The image recognition module 101 scans and analyses the student’s facial expression using the students end device’s camera which is either a mobile camera or laptop camera or a computer with webcam.
[0039] The teacher assigns at least one task through the task module 102 using a teacher’s end application. The teacher’s end application screen, displays the students real time response to the at least one task, the time taken to respond to the at least one task by the students, the facial expressions of the students, and the real time ranking of the students in the form of either numbers or percentages. The online teaching system 100 can directly send the ranks of the students to their parent’s devices which provide information on the student’s interaction in the online class. The teacher is allowed to send suggestion to the parents through the online teaching system 100 on how they can help the students to concentrate on the online classes.
[0040] Numerous advantages of the present disclosure may be apparent from the discussion above. In accordance with the present disclosure, the online teaching system with a digital pad allows real time efficient monitoring of the students.
[0041] The online teaching system is capable of scanning student’s facial expression and transmitting this data to teacher, indicating whether the student understands a topic during class. The digital pad provides a real time interaction between teacher and student during class, where students are allowed to answer the questions raised by the teacher.
[0042] Since the digital pad is connected through a master application, the teacher is able to see the written answers in real time. The activation and deactivation of the digital pad is in teacher’s control via master application.
[0043] Further, the online teaching system allows the teacher to assign tasks to student and even send important information to parents to their mobile. The ranking of the students allows the teachers to focus on those students who have low ranking and needs more attention. As this system records the attendance automatically and stores in the memory module, so that the teacher doesn’t have to maintain additional record. The memory module is capable of storing the students ranks, the tasks send by the teacher and the answers written by the students.
[0044] It will readily be apparent that numerous modifications and alterations can be made to the processes described in the foregoing examples without departing from the principles underlying the invention, and all such modifications and alterations are intended to be embraced by this application.
5. CLAIMS:
I / We Claim:
1. An online teaching system, comprising:
an image recognition module configured for recognising and analysing facial expressions of students;
a task module configured to allow a teacher to assign at least one task in real time to the students during an online class;
a task reply module configured to allow the students to enter response to the at least one task given by the teacher through digital pads connected at students end devices;
a time calculation module configured to calculate time taken by each student to respond to the at least one task given by the teacher;
a correlation module configured to correlate each student’s facial expression analysed by the image recognition module and the calculated response time of the corresponding student;
a ranking module configured to rank the students for interaction towards the online class using trained learning algorithm based on correlated data from the correlation module for some iterations; and
a memory module configured to store data of each student in a remote sever for further access,
wherein, the online teaching system uses artificial intelligence in combination with digital pad to establish a real time interactive online class between the teacher and students.
2. The online teaching system as recited in claim 1, wherein the online teaching system is an application suitable for conducting online classes using various electronic devices such as a mobile or a laptop or a computer with webcam.
3. The online teaching system as recited in claim 1, wherein the online teaching system further allows the teacher to send important information to the student’s parents to their mobile.
4. The online teaching system as recited in claim 1, wherein the image recognition module analysis the facial expressions using artificial intelligence imaging algorithm.
5. The online teaching system as recited in claim 1, wherein the at least one task is delivered orally or displayed at the students end devices by the teacher using the task module.
6. The online teaching system as recited in claim 1, wherein the digital pad is either a digital writing and drawing pad or an electromagnetic handwritten plate which gets activated only during the online class hours in a specific session by the teacher.
7. The online teaching system as recited in claim 1, wherein the digital pad and the online teaching system are connected through the remote server.
8. The online teaching system as recited in claim 1, wherein the digital pad is connected through a master application which allows the teacher to view written responses of the students in real time.
9. The online teaching system as recited in claim 1, wherein the ranking module displays the ranking of the students in real time in the form of numbers or percentages to the teacher.
10. A method for an online teaching system, comprising:
commencing an online class by teacher;
activating digital pads of students end devices by the teacher;
scanning students facial expressions by an image recognition module during the class; analysing the facial expressions of the students and sending data to the teacher; assigning at least one task to the students through a task module by the teacher;
responding to the at least one task by the students through a task reply module using the digital pads;
calculating the time taken to respond to the at least one task by the students;
correlating the analysed facial expressions of the students and time taken to respond to the at least one task, and
ranking each student on the basis of correlated data indicating the students interaction towards the online class.
6. DATE AND SIGNATURE:
Dated this 29th day of October, 2020
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7. ABSTRACT:
Title: Online Teaching System Using Artificial Intelligence and Digital Pad
The present disclosure proposes an online teaching system 100 using artificial intelligence which comprises an image recognition module 101, a task module 102, a task reply module 103, a time calculation module 104, a correlation module 105, a ranking module 106, and a memory module 107. The proposed online teaching system 100 uses artificial intelligence to rank the students by correlating the facial expressions of students and quick responses of the students through a digital pad during an online class. The ranks of each student are displayed on teacher’s application screen indicating the student’s concentration on a topic during the online class.
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