edX is an online learning platform that has over 3 million users taking more than 300 courses from 162 countries. The platform uses interactive virtual labs and video classes. This document studies whether academics and students will accept online learning through edX. It aims to identify students open to this new learning method and understand acceptance through two models. The study is limited to one university and nearby colleges, and the results may not generalize due to infrastructure differences. Acceptance of new technology is challenging and various factors like the UTAUT and TAM models will be used to predict edX acceptance.

1. E-learning
- edX -
Submitted to Dr. Gaurav Mishra sir
By,
K sarvan,
Jigna patel

2. Learning – Human knowledge

3. A educational revolution
edX:
X= variable (Any one)
Able to draw 155,000 students
from 162 countries

4. A different blend of knowledge's

5. Google trends – contemporary world

6. Learning by sharing
• As of 22 October 2014, edX has more than 3 million users taking over
300 courses online.
• Interactive classes by virtual lab sessions(programming) and by
videos.

7. Dashboard and Discussions

8. • The main aim of the study is to predict if academics and
students will accept the new blend of learning environment
through online learning.
Objectives:
 To identify the students who are accessible to new method
of learning by e-learning.
OBJECTIVES AND AIMS

9.  To understand the acceptance of students by two methodology models.
To identify the structural and organisable variables which helps in
acceptance of new technology (E-learning).
Determine the functionality of e-learning resources offered to students by
the edX.
Careful recording of analysis by the responses of quarries that asked.

10. Scope and Limitations
• The study will be limited to academics and students at University of DA-IICT
and few students of near colleges.
• The result of the study can not be generalized to all institutions of higher
and other technical educational centres because of the constraints of
infrastructure and technology accessibility .
• The predictive power of any user acceptance model is not 100% efficient,
for example UTAUT model was only able to correctly predict 70% of all
cases surveyed, therefore 30% of cases will not be correctly predicted.

11. Acceptance - Adaptation
• Acceptance of technology has long been a challenging issue in
information system research.
• Many people accept new technologies some people reject
technologies also irrespective of their social awareness and financial
stability.
• In order to evaluate the acceptance of the technology “Social Factor”
was selected for the studying of impact of social presence on
individual behaviour.

12. Different Acceptance models
T.A.M model UTAUT model

13. Thank you