Journal of Engineering Education Transformations

Shasi Anand Sridharan ¹, Nagaraj Ramrao ¹, Kalpana Murugan ², Venkatesh Prasad ³, Radeep Krishna Radhakrishnan Nair ²

Affiliations
1 Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar District, Tamilnadu, IN
2 Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Virudhunagar District, Tamilnadu, IN
3 Nanochip Solutions Private Limited, Bangalore Karnataka, IN

Abstract

In a Modern Economy, transforming academics into competitive advantages is pivotal. The present work discusses the impact and challenges of academia-industry collaboration on academic output and campus placement preparation. This study explores the contextual predictors related to core placement and industrial-academic collaboration requirements among undergraduate students in Engineering. Industrial -academic training and placement intent are defined as the core competence and the students undergo these trainings to develop the skills in order to get placement in the core domains of RTL Verification using System Verilog, SOC-ASIC physical design, Embedded system design, IoT and Artificial intelligence for Cyber security. Overall, 509 students have been included as participants and they are students of second year, third year, and final year engineering from the Department of Electronics and Communication Engineering of Kalasalingam Academy of Research and Education. This work examines the Collaborative Success in Learning New Application, Teaching Research Level Collaboration, and Preparation for First Campus Placement. The statistical Analysis of Regression has been utilized to address the relationships. Skill training from industry and participation in domain-specific activities are more strongly intended for engineering undergraduate students during their course. The analysis pertains that both are significant parameters. However, the level of significance is more in Collaborative Success in Learning New Application (CSLNA) compared to Teaching Research Level Collaboration (TRLC) for the confidence level in Preparation for First Campus Placement (PFCP).Motivational intellectual collaborator is the key where the students' motivation to join the intent is a pivotal issue and that is the significance quality of engineering education community.

Keywords

Collaborative Success in Learning New Application, Teaching Research Level Collaboration, Preparation for First Campus Placement, Industry-Academic Collaboration, Regression, Annova, Tukey.

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Radeep Krishna Radhakrishnan Nair ¹, Nagaraj Ramrao ¹, Sivapragasam Chandrasekaran ², Anish Nair ³, Sivakumar Pothiraj ¹

Affiliations
1 Department of Electronics and Communication Engineering, Kalasalingam Academy of Research And Education, Krishnankoil, IN
2 Department of Civil Engineering, Kalasalingam Academy of Research And Education, Krishnankoil, IN
3 Department of Mechanical Engineering, Kalasalingam Academy of Research And Education, Krishnankoil, IN

Abstract

The mobile learning paradigm has significantly started influencing the global education sector, the outcome of which has reflected in the increased usage of mobile for learning by the students for online classrooms. Further, there is a need to better understand as well as individual and contextual level factors which are related to students' mobile usage in learning activities. Hence, it is imperative to consider the usage of mobile with digital pedagogy. This study explores individual and contextual predictors of mobile usage among undergraduate students in the stream of engineering. Learning intent is defined as the personal importance that the students ascribe to use mobile for online classes. The participants included are 1004 engineering undergraduates.The regression models has been developed to examine the relationship between mobile usage with respect to new proposed model of Mobile Infographic Pedagogy (MIP).It is observed that the study analysis depicts that the Learner centric is a more significant parameter when mobile infographic pedagogy is utilized. The model reported in this paper can easily be applied by all the faculty members in any institution to help the students improve their attention in the process of teaching-learning.

Keywords

Mobile Phone Usage, Mobile Infographic Pedagogy, Regression, Neuro Fuzzy Modelling.

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