Context:
The study aimed to understand the perception of faculty and undergraduate students toward E-learning and its acceptance and feasibility during the corona pandemic.
Aim:
It aimed at collecting suggestions to improve the teaching–learning process.
Settings and Design:
This was an online survey conducted using Google Forms.
Subjects and Methods:
Responses were sought from participants through Google Forms and their feedback was collected using a semi-structured questionnaire which had 14 items including demographic profile, platform used for online teaching–learning, advantages, comfort level, usefulness of platform, challenges faced, and suggestions for improvement.
Statistical Analysis Used:
Statistical Analysis was done by using IBM SPSS Statistics for Windows, Version 26.0.
Context:
The study aimed to understand the perception of faculty and undergraduate students toward E-learning and its acceptance and feasibility during the corona pandemic.
Aim:
It aimed at collecting suggestions to improve the teaching–learning process.
Settings and Design:
This was an online survey conducted using Google Forms.
Subjects and Methods:
Responses were sought from participants through Google Forms and their feedback was collected using a semi-structured questionnaire which had 14 items including demographic profile, platform used for online teaching–learning, advantages, comfort level, usefulness of platform, challenges faced, and suggestions for improvement.
Statistical Analysis Used:
Statistical Analysis was done by using IBM SPSS Statistics for Windows, Version 26.0.
Context:
The study aimed to understand the perception of faculty and undergraduate students toward E-learning and its acceptance and feasibility during the corona pandemic.
Aim:
It aimed at collecting suggestions to improve the teaching–learning process.
Settings and Design:
This was an online survey conducted using Google Forms.
Subjects and Methods:
Responses were sought from participants through Google Forms and their feedback was collected using a semi-structured questionnaire which had 14 items including demographic profile, platform used for online teaching–learning, advantages, comfort level, usefulness of platform, challenges faced, and suggestions for improvement.
Statistical Analysis Used:
Statistical Analysis was done by using IBM SPSS Statistics for Windows, Version 26.0.
Context:
The study aimed to understand the perception of faculty and undergraduate students toward E-learning and its acceptance and feasibility during the corona pandemic.
Aim:
It aimed at collecting suggestions to improve the teaching–learning process.
Settings and Design:
This was an online survey conducted using Google Forms.
Subjects and Methods:
Responses were sought from participants through Google Forms and their feedback was collected using a semi-structured questionnaire which had 14 items including demographic profile, platform used for online teaching–learning, advantages, comfort level, usefulness of platform, challenges faced, and suggestions for improvement.
Statistical Analysis Used:
Statistical Analysis was done by using IBM SPSS Statistics for Windows, Version 26.0.
Context:
The study aimed to understand the perception of faculty and undergraduate students toward E-learning and its acceptance and feasibility during the corona pandemic.
Aim:
It aimed at collecting suggestions to improve the teaching–learning process.
Settings and Design:
This was an online survey conducted using Google Forms.
Subjects and Methods:
Responses were sought from participants through Google Forms and their feedback was collected using a semi-structured questionnaire which had 14 items including demographic profile, platform used for online teaching–learning, advantages, comfort level, usefulness of platform, challenges faced, and suggestions for improvement.
Statistical Analysis Used:
Statistical Analysis was done by using IBM SPSS Statistics for Windows, Version 26.0.
Context:
The study aimed to understand the perception of faculty and undergraduate students toward E-learning and its acceptance and feasibility during the corona pandemic.
Aim:
It aimed at collecting suggestions to improve the teaching–learning process.
Settings and Design:
This was an online survey conducted using Google Forms.
Subjects and Methods:
Responses were sought from participants through Google Forms and their feedback was collected using a semi-structured questionnaire which had 14 items including demographic profile, platform used for online teaching–learning, advantages, comfort level, usefulness of platform, challenges faced, and suggestions for improvement.
Statistical Analysis Used:
Statistical Analysis was done by using IBM SPSS Statistics for Windows, Version 26.0.
Context:
The study aimed to understand the perception of faculty and undergraduate students toward E-learning and its acceptance and feasibility during the corona pandemic.
Aim:
It aimed at collecting suggestions to improve the teaching–learning process.
Settings and Design:
This was an online survey conducted using Google Forms.
Subjects and Methods:
Responses were sought from participants through Google Forms and their feedback was collected using a semi-structured questionnaire which had 14 items including demographic profile, platform used for online teaching–learning, advantages, comfort level, usefulness of platform, challenges faced, and suggestions for improvement.
Statistical Analysis Used:
Statistical Analysis was done by using IBM SPSS Statistics for Windows, Version 26.0.
Context:
The study aimed to understand the perception of faculty and undergraduate students toward E-learning and its acceptance and feasibility during the corona pandemic.
Aim:
It aimed at collecting suggestions to improve the teaching–learning process.
Settings and Design:
This was an online survey conducted using Google Forms.
Subjects and Methods:
Responses were sought from participants through Google Forms and their feedback was collected using a semi-structured questionnaire which had 14 items including demographic profile, platform used for online teaching–learning, advantages, comfort level, usefulness of platform, challenges faced, and suggestions for improvement.
Statistical Analysis Used:
Statistical Analysis was done by using IBM SPSS Statistics for Windows, Version 26.0.
