Research Project Scope
Literature Survey
ClassDojo
Software that encourages positive classroom behavior by awarding points for participation
Best For:
- Teachers
- School leaders
- Families
Features
Useful for classrooms, Real-time chat facility.
TopHat
The Top Hat app motivates students to engage with course content, participate in class and ultimately master your material.
Run discussions in your classroom, assign interactive readings and quiz for understanding, all with one easy-to-use interface.
Features
- Get real-time feedback on student progress.
- Leverage students' devices in class to increase participation.
- Upload your slides easily and add interactive questions.
- Take attendance effortlessly and prevent absent students from bending the rules.
- Launch real-time polls to gauge student understanding.
AI-enabled classrooms in China
A High School in Hangzhou, China has installed cameras which are designed to mark attendance automatically and track activities that students are engaging in, including reading, writing or listening.
In addition, students’ real-time emotions such as fear, happiness, sadness, surprise, disgust, anger and neutral are also tracked.
EduSense: Practical Classroom Sensing at Scale
EduSense is a comprehensive, open source, sensing system that produces a plethora of theoretically-motivated visual and audio features correlated with effective instruction, which can feed professional development tools in much the same way as a Fitbit sensor reports step count to an end user app
The system consists of 3 main components as follows.
- Body Segmentation, Keypoints and Interframe tracking
- Facial Landmarks
- Speech Detection
Research Gap
| AI Systems in China | TopHat | ClassDojo | EduSense | SLPES | |
|---|---|---|---|---|---|
| Attendance Register | |||||
| Monitoring Student Behavior | |||||
| Lecture Summarizing | |||||
| Monitoring Lecturer Performance |
Research Problem
- “What is the optimum way of tracking student attendance in a much efficient way and how does the lecturer analyze reasons for student absenteeism?” (Q1).
- “Does a correlation exist between lecturing style and student behavior in the classroom and how can Computer Vision and Artificial Intelligence be incorporated in determining this relationship?” (Q2).
- “How to summarize the lecture content to enable students to pay more attention to the lecture and reduce time spent for taking notes?” (Q3).
- “How to evaluate lecture performance by tracking their behavior during a lecture and analyzing the quality of the lecture content which is delivered by the lecturer?” (Q4).
Research Objectives
Main Objectives
Specific Objectives
Hello
Methodology
As mentioned in the System Diagram, this system will mainly consist of a mobile and web application. When the students and the lecturer enter the classroom, their behavior will be monitored by two separate video-cameras and a microphone. The collected data will transmit to the server through local machine and stores the gathered data in the MongoDB cloud database service.
While the video camera tracks both facial expression and body movements, the microphone will record the lecture for further analysis. The student attendance will register by capturing facial identity using deep learning and computer vision mechanisms. Students will be monitored by capturing their facial and body movements by Computer Vision and Deep Learning algorithms.
The lecturer audio and video details will be gathered and stored for analyzing as such lecture summarizing and monitoring lecturer performance using machine learning, deep learning, and computer vision technologies. While the students have access to the mobile application, the lecturers and the higher management have the authority to manage the web-application. Frontend components will communicate with the backend using Django REST API.
Domains
Deep Learning
Computer Vision
Machine Learning
Natural Language Processing
Tools
Research Project Milestones
Proposal
Description
The Research group was given the opportunity to elaborate the research problem, research objectives and tentative methodology of the proposed study. The presentation was carried out by each individual describing their components
Date
Feb 27th, 2020.
Marks
10
Progress Presentation - 1
Description
This presentation was aimed to show the progress of the ongoing porcess, such that 50% of the complete product had to be presented. Each individual had to clearly mention what they have done and the actual percentage of the work completed
Date
Marks
Progress Presentation - 2
Description
The main purpose of this presentation was to show the progress of the project. It was expected that 90% of the project to be completed.
Date
Marks
Demo
Description
The research project group had to design a Research Poster to provide a basic understand about the Research. The content included were Introduction, Literature Survey, Research Problem, Research Objectives, Methodology, Results and Discussion and Conclusion
Date
Marks
Final Assessment
Description
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Date
Marks
About Us
Supervisors
Samantha Rajapaksha
Senior Lecturer
Ms. Dinuka Wijendra
LecturerGroup Members
Ishan Seneviratne
Group Leader
Sohan Perera
Member
Sachith Fernando
Member
Linisha Siriwardana
MemberContact
Make contact via the details below to get in touch with us.
Our Address
Sri Lanka Institute of Information Technology, New Kandy Rd, Malabe 10115