
Experiential Learning Framework for Signals and Systems: An Attempt Towards Reaching Higher Levels of Cognition
Author(s) -
Ujwala Patil,
Preeti S. Pillai,
Shraddha B. Hiremath,
Raghavendra M. Shet,
K Rohit,
Nalini C. Iyer
Publication year - 2021
Publication title -
journal of engineering education/journal of engineering education transformations/journal of engineering education transformation
Language(s) - English
Resource type - Journals
eISSN - 2349-2473
pISSN - 0971-5843
DOI - 10.16920/jeet/2021/v34i0/157239
Subject(s) - experiential learning , software deployment , cognition , python (programming language) , computer science , psychology , mathematics education , multimedia , knowledge management , software engineering , neuroscience , operating system
In this paper, we propose an experiential learning module for the course Signals and Systems (SNS). This course is designed in the second year of the Electronics and Communication Engineering stream and challenging course as it demands a higher level of cognition skills. Experiential learning is a series of activities that allow students to be actively involved in ensuring learning. The experiential learning module enhances the problemsolving skills towards reaching higher levels of cognition, moving from the lower levels of remembering, understanding. Typically, the conventional modes are teacher-centric, visual learners and sequential learners find challenges in stimulating their cognition skills. Towards this, we design an experiential learning framework with two techniques: Concept inventory and SNS with Python to facilitate sequential learners and visual learners respectively. The challenges associated with the deployment of our framework are time and resource management. The proposed framework facilitates achieving a higher level of cognitive skills; also the introduction of the simulating tool ensures the conceptual learning of the course beyond classroom learning.