What is CoEET? 

The Educational Technology Innovation Center (ETIC) at NIIT University (NU) creates pedagogic innovations using industry-linked projects. The intense student engagements that these pedagogic initiatives opened up made it necessary to have a dedicated team which would facilitate the implementation of such projects. This student group forms the Center of Excellence in Educational Technology (CoEET)

The team comprises students from different years selected as Teaching Assistants for key roles. All students are invited to apply for this prestigious group and through a transparent and rigorous selection system, fair representation is ensured to all streams of study at NU – Computer Science, Biotechnology, IMBA, etc. Each role carries a Certificate of Learning Mentorship and a Stipend for the duration of the tenure.

CoEET is responsible for the planning, coordination, and execution of more than 60 Educational Technology projects at NU each semester, through its various desks. 

Every project ensures the interfacing of multiple subjects so that students realize the interdisciplinary nature of real-life problems and therefore do not learn in silos. Project teams comprised of students from both BTech & Management take on industry-relevant roles, conduct research on real industry problems in various threshold domains and propose solutions. The Industry becomes a partner in their learning by providing them with real-industry problems and tools to solve them. Students are awarded marks in their respective subjects for their contribution to the project solution. 

This experiential learning-based multi-disciplinary approach is inspired by NU's core tenets– Industry-linked, Research-driven, Technology-based, and Seamless. The outcome is that students are prepared to handle market uncertainty in the following ways.

What is ETIC?

The Education Technology Innovation Center (ETIC) at NU envisions an interfacing of academic and professional communities.  These communities network and engage as partners and small-collaborative-workflow-groups.

 

Because using Educational Technology (ET) usually requires small groups to work independently, they need to be instructed in independent work, self-directed learning and learning strategically. Without this instruction the small collaborative workflow groups negate the learning and engagement integral to ET activities. 

 

Instructional content, modes of delivery and evaluation methods have changed a lot in the Information age.  But, when impacted by information processing technologies, it is the processes by which learners learn that have changed the most. 


The ETIC at NU facilitates this engagement of groups and their instruction through various educational technology projects executed under the Additive Curriculum Framework.

The ETIC portal is an online repository designed to help students as well as Faculty by providing access to information on projects executed by NUtons. It will host all the resources required to prepare for the projects under the Additive Curriculum approach and provide significant information on how a project should be executed and serve as a guideline for students. 

The portal also gives details of current CoEET team members, highlights announcements of various projects that get launched from time to time and provides separate sections for different projects that have been executed in the past. Details of such past projects that will be useful to students is organized year-wise for easier access. This includes project reports, mid-project reports, presentations, videos, etc.; that showcase how the projects were executed.

Project Banks

Learners’ Premier League is a fusion of 5 subjects that are evaluated over a period of 2 months for 100 marks in total. Each team comprises 11 roles as per positions required to function in a company. All teams are provided with a topic based on fresh research in the field of Nanotechnology, Electronics, Chemistry, Physics and Biotechnology, amongst others. With Team Mentors from the Sophomore year and Associate Mentors from the Junior and Senior years, all teams start from primitive research through various articles and papers. Post the research phase, prototypes are developed covering technical and business aspects to bring the product to market. This is presented in front of an esteemed panel consisting of faculty members for each subject. They analyse the overall project by evaluating the team’s efforts to bring out a new idea that can bring about a change on a global scale, keeping all the subject parameters in mind. 

The Mathematics in Machine Learning project series integrates two crucial subject matters in our course, Mathematics and Computer Science. These two subjects, when intertwined, leading to the emergence of technology that is rooted in the theories of Mathematics and implemented with the reinforcements of Computer Science, in the real world. Just as the NanoEPL (LPL), the Math in ML project is assigned to the Freshmen, who are assisted and mentored by Sophomores and Associate Mentors from the Junior and Senior years. The series extends over a period of two months and the evaluation component comprises progress reports, weekly CoEET evaluation, video logs, and a final presentation before the faculty.

Internet of Things Integrated Project is a project that brings together Workshop Practice students and Object Oriented Programming with Java/ Database Management Systems students to work on an interlinked project spread over the span of 2 months. Each team is given a daily life problem to solve using the very basis of the courses. With a designated mentor from the ET-401 course, to guide teams throughout the project; the students end up making a working prototype (or a concept). A formal Presentation has to be given for final evaluation, covering the technical and business dimensions of the prototype, along with a Video Log.

The Computer Vision & Image Processing project series entails the same course structure as the Mathematics in Machine Learning project but, in addition, it deals with the more intricate part of the fundamentals of Computer Science such as Computer Vision. This project requires digging deep into the logistics of routine activities and their linkage with image processing to analyze and solve everyday problems. This series spans over a period of two months involving the evaluation components of mid and final reports, weekly team CoEET evaluations, video logs, and final presentation before the faculty members. 

TESTIMONIALS

The excellence of some NUtons helped them to outshine others with their diligence and out-of-the-box thinking. Meet the achievers of the previous LPL who went the extra mile to bring unique ideas to the table and won the best in their role category.

Best Researcher 1 - Srachet Rai (BTech).mp4
Best Researcher 2 - Kaustav Karan (BTech).mp4
Best Critical Thinker - Pranav Sahni (BTech).mp4
Best Project Manager - Nakul Yadav (BTech).mp4
Best Learning Technology Manager - Yash Rustagi (BTech).mp4
Best Industry Collaborator - Paras Rana (iMBA).mp4
Best Marketing Manager - S Aadhira (iMBA).mp4
Best Product Manager - Sumit Kumar Khadanga (BTech).mp4
Best Interdisciplinary Head - Jamyang Ugyen Tshomo (BTech - Biotech).mp4
Best Employability Definer - Yenugu Bhavesh Chandra (BTech).mp4
MAN of the series - Agnishwar Raychaudhuri (btech) .mp4
Best Mentors - Neha Chaturvedi & Rayan Chowdhury (BTech).mp4