In
today’s digitally enhanced education system, data has emerged as a powerful
enabler in improving teaching and learning processes. With widespread use of
learning management systems, online assessments, and digital classroom tools,
educators have access to valuable information on student learning,
participation, and progress. As educational institutions increasingly adopt
data-supported decision-making practices, teachers are expected to interpret
and use this information effectively to enhance academic outcomes.
This
SWAYAM course, Digital Pedagogy Meets Data: Visualization Skills for Educators,
is designed to build the professional capacity of teachers, faculty members,
and academic leaders in understanding and applying data visualization within
the teaching–learning process. The course focuses on how visual
representations—such as charts, dashboards, heat maps, and infographics—can
help identify patterns in student performance, classroom engagement, attendance
trends, learning gaps, and behavioural indicators. These insights support
educators in designing evidence-based instructional strategies, monitoring
progress, and communicating outcomes clearly to students, parents, and
administrators.
Learners
will work with a variety of free and school-friendly data visualization tools
suited for Indian educational contexts. These include Google Sheets, Canva
(Education Edition), Datawrapper, and Flourish, which allow educators to create
simple yet effective visuals without coding experience. The course also
introduces participants to advanced open-access platforms such as Tableau
Public and Microsoft Power BI (free desktop version), enabling deeper
exploration and dashboard development.
In
line with NEP 2020 and global digital education priorities, this course equips
educators to adopt data-informed teaching practices and integrate visualization
effectively into their pedagogy. Participants will learn to interpret classroom
and institutional data and use visual insights to enhance planning, engagement,
and outcome-based reporting.
Throughout
the course, learners will engage in practical demonstrations, downloadable
datasets, hands-on exercises, peer interactions, and application-based tasks.
Each module is structured to help participants interpret data meaningfully,
design visuals for varied educational contexts, and integrate visualization
techniques into everyday teaching and decision-making.
This
course is highly relevant for school teachers, college faculty members, teacher
educators, administrators, and all stakeholders interested in integrating
digital pedagogy with data-supported academic processes. As education moves
toward a more visual and data-driven future, this SWAYAM course equips learners
with the essential skills to lead this transformation.
| Course Status : | Upcoming |
| Course Type : | |
| Language for course content : | English |
| Duration : | 8 weeks |
| Category : |
|
| Credit Points : | 3 |
| Level : | Undergraduate/Postgraduate |
| Start Date : | 26 Jan 2026 |
| End Date : | 30 Apr 2026 |
| Enrollment Ends : | 28 Feb 2026 |
| Exam Date : | |
| Translation Languages : | English |
| NCrF Level : | 4.5 — 8.0 |
| Industry Details : | Education and Training |
|
swayam@nitttrc.edu.in, swayam@nitttrc.ac.in
Week
1: Foundations of Digital Pedagogy and AI-Enhanced Teaching
Week
2: Basics of Data Visualization and Data-Driven Insights
Week
3: Applications of Data Visualization in Educational Institutions and
Classrooms
Week
4: Benefits of Visualization for Educators and Smarter Teaching Approaches
Week
5: Tools and Techniques for Creating Educational Visualizations
Week
6: Future Trends in Visual, Digital, and Data-Driven Teaching
Week
7: Integrating Visualization into Teaching Practice and Responsible Data Use
Week 8: Data-Enhanced Teaching Strategies and Professional Growth
As an Associate Professor at NITTTR, Chennai, I bring over two decades of expertise in technical education, curriculum development, and digital transformation initiatives. My leadership in implementing ERP systems, advocating digital accessibility, and mentoring educators on emerging technologies reflects my dedication to innovation in education.
With a Ph.D. in SOA and Semantic-based IoT middleware and expertise in Cognitive Computing, Artificial Intelligence, Web Technologies, IoT, Operating Systems, and Distributed Systems, I have guided numerous impactful projects and authored over 40 publications in prestigious journals and conferences. My deep understanding of Operating Systems has enabled me to develop efficient resource management strategies and multitasking frameworks, while my work in Distributed Systems focuses on scalability, fault tolerance, and distributed computing paradigms, crucial for modern cloud and IoT infrastructures.
I have supervised Ph.D. candidates, contributed as an expert committee member for doctoral evaluations, and actively engaged in sponsored research and consultancy projects.
As a senior member of IEEE and ACM, I align institutional goals with global priorities, ensuring excellence in education and research. My involvement in the Board of Studies and the development of outcome-based frameworks underscores my commitment to empowering educators and driving advancements in technical education, particularly in fields critical to today’s technology landscape.
"The SWAYAM Course Enrolment and learning is free. However, to obtain a certificate, the learner must register and take the proctored exam in person at one of the designated exam centres. The registration URL will be announced by NTA once the registration form becomes available. To receive the certification, you need to complete the online registration form and pay the examination fee. Additional details, including any updates, will be provided upon the publication of the exam registration form. For more information about the exam locations and the terms associated with completing the form, please refer to the form itself."
Grading Policy:
- Internal Assignment Score: This accounts for 30% of the final grade and is calculated based on the average of the best three assignments out of all the assignments given in the course.
- Final Proctored Exam Score: This makes up 70% of the final grade and is derived from the proctored exam score out of 100.
- Final Score: The final score is the sum of the average assignment score and the exam score.
Eligibility for Certification:
- To qualify for a certificate, you must achieve an average assignment score of at least 10 out of 30, and an exam score of at least 30 out of 70. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >=40/100.
Certificate Details:
- The certificate will include your name, photograph, roll number, and the percentage score from the final exam. It will also feature the logos of the Ministry of Education, SWAYAM, and NITTTR.
- Certificate Format: Only electronic certificates (e-certificates) will be issued; hard copies will not be dispatched.
Once again, thanks for your interest in our online courses and certification. Happy Learning.
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