24x7 Service; AnyTime; AnyWhere

A conceptual framework for measuring the acceptance of pervasive learning

Koondhar, Muhammad Yaqoob and Abdul Molok, Nurul Nuha and Chandio, Fida and Rind, Muhammad Malook and Raza, Ali and Shah, Asadullah (2015) A conceptual framework for measuring the acceptance of pervasive learning. In: 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey.

[thumbnail of PID193.pdf]
Download (493kB) | Preview


The technological innovation and advancements in smart phones and wireless communication have reformed learning techniques such as Pervasive Learning (P-learning), Mobile Learning (m learning) and Electronic Learning (e-learning). P learning is the new form of innovative technologies for learning that occurs at the user’s will at anywhere, anytime and with any mobile or handheld devices.Students using P-learning can overcome the obstacles such as poor facilities in the classroom, gender, cultural and religious barriers, hectic personal and professional lives by providing flexibility and more than one medium for learning.This research is intended to study the specific factors influencing students as to whether accept and use these new technologies (P-learning).This study extends the existing research on Technology Acceptance Model (TAM) and will develop an integrated model of P-learning acceptance.It is also expected that this research study will help provide strategies for educators in the development and implementation of courses designed to integrate technology. This study employs mixed research methods for triangulation to get the desired research results.The data for this research is collected through focus group and a cross sectional questionnaire survey.

Item Type: Conference or Workshop Item (Paper)
Additional Information: ISBN No: 978-967-0910-02-4 Jointly organized by: Universiti Utara Malaysia (UUM) & Istanbul Sabahattin Zaim University (IZU)
Uncontrolled Keywords: P-learning, TAM, wireless communication, technological innovation
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: School of Quantitative Sciences
Depositing User: Mrs. Norazmilah Yaakub
Date Deposited: 30 Sep 2015 08:07
Last Modified: 27 Apr 2016 06:20

Actions (login required)

View Item View Item