Hands-on Session-Internet of Things (18CS81)

Subject: Internet of Things (18CS81)
Title: Internet of Things
Date: 15/04/2024 & 16/04/2024
Faculty In-Charge: Dr. Divakar Harekal
Venue: ISE Seminar Hall

1. Introduction

The Internet of Things (IoT) is a transformative subject in the computer science and engineering curriculum, bridging the gap between the physical and digital worlds. Traditional lecture-based teaching methods often fall short in fostering deep understanding, problem-solving abilities, and hands-on experience. This report explores an innovative, student-centric teaching methodology designed to enhance comprehension, engagement, and real-world application in IoT.

2. Objectives

• To improve conceptual understanding of IoT architecture, protocols, and applications.

• To foster critical thinking and problem-solving skills in IoT system development.

• To integrate practical, real-world IoT use cases into classroom instruction.

• To promote collaborative learning and peer interaction in IoT projects.

3. Methodology

3.1 Flipped Classroom Model

• Pre-class Activities: Students accessed pre-recorded lectures and curated content on IoT topics such as sensors, microcontrollers, communication protocols, and cloud integration.

• In-class Activities: Focus was placed on practical implementations, coding sessions on platforms like Arduino and NodeMCU, case studies, quizzes, and group discussions.

• Outcome: Encouraged active participation and boosted hands-on learning effectiveness.

3.2 Problem-Based Learning (PBL)

• Students were given complex, real-world challenges such as smart home systems, health monitoring devices, and environmental monitoring.

• Encouraged self-research, prototyping, and teamwork to apply IoT technologies effectively.

• Fostered creativity, analytical thinking, and technical skill development.

4. Assessment Techniques

• Formative Assessments: Weekly quizzes, in-class lab exercises, and mini-presentations.

• Summative Assessments: Final project demonstrations, code reviews, and viva voce focused on IoT architecture and implementation.

5. Results and Impact

• Engagement: 20–30% increase in student attendance and participation during hands-on sessions.

• Performance: Notable improvement in internal assessment scores and practical IoT task completions.

• Confidence: Students exhibited increased confidence in handling microcontrollers, sensors, and real-time data transmission.

• Project Output: Several groups successfully implemented deployable prototypes like smart irrigation systems, home automation modules, and health tracking devices.

6. Conclusion

The integration of innovative teaching methodologies in IoT has significantly enhanced student learning outcomes. By combining flipped classrooms, problem-based learning, and real-world prototyping, the approach transforms traditional instruction into a dynamic, interactive, and industry-relevant experience. These methodologies empower students to become future-ready engineers, capable of developing scalable IoT solutions for real-world challenges.