A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications
Volume-3 | Issue-3
A Review on Finding Efficient Approach to Detect Customer Emotion Analysis using Deep Learning Analysis
Volume-3 | Issue-2
A Comparative Analysis of Prediction of Student Results Using Decision Trees and Random Forest
Volume-4 | Issue-3
Study of Security Mechanisms to Create a Secure Cloud in a Virtual Environment with the Support of Cloud Service Providers
Volume-2 | Issue-3
Construction of Black Box to Detect the Location of Road Mishap in Remote Area in the IoT Domain
Volume-3 | Issue-2
Fault Diagnosis in Hybrid Renewable Energy Sources with Machine Learning Approach
Volume-3 | Issue-3
Secure and Optimized Cloud-Based Cyber-Physical Systems with Memory-Aware Scheduling Scheme
Volume-2 | Issue-3
Stochastic Geometry and Performance Analysis of Large Scale Wireless Networks
Volume-3 | Issue-3
Computer Vision on IOT Based Patient Preference Management System
Volume-2 | Issue-2
Fake News Detection using Data Mining Techniques
Volume-3 | Issue-4
A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications
Volume-3 | Issue-3
Fake News Detection using Data Mining Techniques
Volume-3 | Issue-4
A Comparative Analysis of Prediction of Student Results Using Decision Trees and Random Forest
Volume-4 | Issue-3
Speedy Detection Module for Abandoned Belongings in Airport Using Improved Image Processing Technique
Volume-3 | Issue-4
Deployment of Artificial Intelligence with Bootstrapped Meta-Learning in Cyber Security
Volume-4 | Issue-3
Design an Early Detection and Classification for Diabetic Retinopathy by Deep Feature Extraction based Convolution Neural Network
Volume-3 | Issue-2
Design of an Intelligent Approach on Capsule Networks to Detect Forged Images
Volume-3 | Issue-3
Future Challenges of the Internet of Things in the Health Care Domain - An Overview
Volume-3 | Issue-4
Construction of Black Box to Detect the Location of Road Mishap in Remote Area in the IoT Domain
Volume-3 | Issue-2
A Review on Finding Efficient Approach to Detect Customer Emotion Analysis using Deep Learning Analysis
Volume-3 | Issue-2
Volume - 4 | Issue - 4 | december 2022
Published
02 November, 2022
Following the COVID-19 pandemic outbreak, many institutions immediately adapted multimedia electronic learning technologies, to provide enablement of electronic learning system, shifting from in-person classroom attendance to online synchronous and asynchronous transmissions. In the current paper, the goal of multimedia electronic learning system is reviewed through the combination of various pedagogical media tools that enabled wide range of curricula presentation. This study has considered four hundred postgraduate scholars from the faculty of computer science and information technology that adopted multimedia electronic learning systems to guarantee that the scheduled graduation date was not surpassed on the account of the institution lockdown. In this paper, the integrated system of creating personalized and self-directed learning through multimedia pedagogical methodology has been highlighted. The study sought to draw attention to the importance of creating an immersive and interactive learning environment using AI-mediated innovation, which provide students with the increased skills required to become cognizant and reflective digital natives. The paper has portrayed that an increased level of electronic engagement via interactive media tools, link to the requirements for the innovative educational transformation which demand an execution of educational curriculum. The educational goals and needs are first defined, and then the most effective learning environment for students has been designed.
KeywordsCOVID-19 interactive multimedia learning disruptive technologies electronic learning Education Interactive Pedagogy educational technology
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