Journal of Engineering Education Transformations

Sangle Santosh ¹, Joshi Ajinkya ², Pawar Padmakar ³, Nandurkar Keshav ⁴

Affiliations
1 Assistant Professor, Production Engineering, K. K. Wagh Institute of Engineering Education and Research, Nashik, IN
2 Associate Professor and I/C Registrar, K. K. Wagh Institute of Engineering Education and Research, Nashik, IN
3 Professor and Head, Production Engineering, K. K. Wagh Institute of Engineering Education and Research, Nashik, IN
4 Principal, K. K. Wagh Institute of Engineering Education and Research, Nashik, IN

Abstract

The comparison of pre and post Covid-19 performance is now being made in many areas. The invisible enemy in the form of Covid-19 virus has put a sturdy impact on many sectors and has forced these sectors to change their mode of operation. Education sector is the most affected sector due to this pandemic. Teachers have adapted to the online teaching methodology through various e-platforms. Feedback collected from the teachers suggested that most of the teachers are facing the problem of engaging the students effectively during the online lectures. Also it is challenging to ensure that students have acquired all knowledge levels as per Bloom's Taxonomy during online learning.

A study was undertaken wherein 200 students were randomly divided into four equal groups. Online lectures on the same topic by the same instructor were arranged for every group. A different methodology of content delivery namely a) explanation by display of textual information, b) use of pictures, c) use of video content and d) use of numerical examples based on different learning styles reported in the literature. At the end of the lectures, students were assigned six questions corresponding to each level of the Bloom’s Taxonomy.

The student responses were mapped and analyzed. The ranking of groups has been calculated using Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). It shows that group number four where text, picture at low level and video, numerical at high level has first rank with score of 0.350. The Pearson correlation between the groups was also determined. The correlation indicates that there is a positive correlation between group two and group four that means a combination of pictures, video and numerical at high level may leads to better results.

This result can be useful for teachers to finding the most effective proportion of content type to map various levels of Bloom’s Taxonomy and thereby improve the learning performance of students during online teaching.

Keywords

Covid-19, Online Teaching, Bloom’s Taxonomy, Student Engagement, TOPSIS, Correlation Matrix, Learning Performance.

Full Text

   

Hippalgaonkar Amrutha ¹, Joshi Ajinkya ¹, More Surabhi ¹

Affiliations
1 K. K. Wagh Institute of Engineering Education and Research, Nashik, IN

Abstract

Automation in the manufacturing sector has become a subject of great interest nowadays and Spot welding through robotics has become a trend in the business market. Failure Modes and Effect Analysis (FMEA) process helps to reduce the errors and thereby improve the quality of the product being produced. The application of FMEA in this arena is a challenging task. Through this study, an attempt has been made to identify and provide solutions to the challenges faced by a small scale local automobile company. The manual operations of spot welding in the organization were replaced by a robotic process. Although the speed of production increased, certain errors in the robotic spot welding process gave rise to quality issues. Errors occurring during the execution of the robotic spot welding process were identified and analysed by Cause and Effect diagram and FMEA method. During the study, ten CO2 and three spot welding failures were observed. Efforts were made to minimize the failures by assigning risk priority numbers to each failure and mistake proofing the failures. Results indicate that proper maintenance of fixture, safety sensor and robot teaching can avoid these errors and provide a quality product. This activity has paved a path for the smooth implementation of FMEA in spot welding process by improving its effectiveness and customer centric products. To enhance quality and increase the speed of the manufacturing process, this cost effective technique can be extended to similar organizations with suitable modifications.

Keywords

FMEA Process, Mistake Proofing, Robotic, Spot Welding, Automobile Sector, Cause and Effect Diagram.

Full Text