Type: Data Analytics
Engagement model: Dedicated Team
Duration: 6 months
Staff: 8 member team
Application name: Education Analytics
MS Windows, Linux,
ASP.NET, Ruby on Rails, Zend, Node.js, Django, Spark, Grails
MySQL, MariaDB, PostgreSQL, Redis, Firebase,
HTML5, CSS3, JS, LESS, SASS, Gulp, Grunt, Pug, Twig, Mustache, npm
(bower), yarn, Vue.js, ReactJS, AngularJS, jQuery, Backbone.j
In many organisations, schools and colleges, teachers have an unmanageable student- related or institute-related data to handle. Each of the students has a distinct set of qualities and learning abilities and even wider range of socio-economic backgrounds. The teacher also has to figure out what data must be collected for a particular teaching policy, as that is one of the major pillars in developing study plans like measure, analyse the student’s academics, behaviour, extra-curricular activities and overall performance. There should be a platform for teachers to evaluate students so that extra attention can be given. For institute, there should be a new way to make better decisions and measure infrastructure, finance, admission, faculty and performance. With the advancement of Technology, institute can be empowered to do much more than what they do now to access the students and make the best use of their opportunity as educators.
There are various areas where institution, teacher and parents can measure and evaluate.
1. Enhanced Academic System
Institutions can analyse their students’ performance across several disciplines. It can be at an individual and collective level. Analysis of the grades of students in different subjects can help in guiding them better and study plans can be implemented and teachers would be able to guide them accordingly.
2. Career Guidance to Students
What career should I go for? What is the future scope of it? The biggest dilemma that a student faces. How would a student know what is the right career option for him? How these problems that a student faces could be eradicated? Here we will be able to point out their future path.
3. Behavioural Changes
Behavioural Analysis prepares students for life beyond school and academic. Effectively analysing of each skill can give better insight of each student. We use valid metrics for measuring and monitoring student's Social-Emotional skills. We assess the psychometric properties of the measures, and leverage the results for continuous improvement. These methods promote students’ academic success, health, and overall well-being. Additionally, it helps the students think differently and more positively about the challenges they face in future.
4. Extracurricular Activities
Extracurricular activities exist for all students, help the students take the right skills to build their future and help them learn about themselves. Getting involved in clubs, sports, work or other pursuits outside the classroom can give students new skills.
5. Smart Faculties
Help the teacher address students’ success and accountability while better fulfilling their academic mission. Analysing class assessment data to identify trends in students’ performance and problems to be remedied by changing teaching strategies, course content, and learning activities, etc. Statistics and modelling to faculty-related data to identify the capabilities or core competencies and predict patterns. Faculties can access their profile for reviewing leaves, awards, performance, compensation, perks, growth and other benefits.
6. Financial Performance
Our Financial analytics provide an evaluation of the institutes in order to determine its profitability, liabilities, strengths and future earnings potential. We assess the performance and make recommendations about how it can improve going forward.
7. Guide to Infrastructure
Institutions are spending huge amount of money every year on infrastructure, including energy, transport, water, students’ safety, sports facility, library, utilities and digital communication. Management will get an insight to each activity for the last few years and over the long term. Management can save 30 % of the annual revenue by analysing infrastructure
The benefits of Educational Analytics for the institutions, staff and students revolve around the following aspects. Improving student retention by closely monitoring students’ learning and persistence, undesirable learning behaviours and emotional states can be detected, and students who are at risk can be identified early. Factors leading to student dropout or retention can be identified and prediction models developed. Staff can take prompt follow-up action and provide proper assistance to students who need extra support such as counselling, suggesting learning resources, and formulating individual learning plans. Institutions will be provided with information and analysis generated from a massive amount of data for informed decision making. For example, planning can be carried out on course development and resources allocation on the basis of information