Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/23485
Title: Toward a Model for E-learning Recommender System Adoption: a Pilot Study
Contributor(s): Alharbi, Hadeel (author); Sandhu, Kamaljeet  (author)
Publication Date: 2017
DOI: 10.1109/ICTCS.2017.57
Handle Link: https://hdl.handle.net/1959.11/23485
Abstract: Over the past decade universities all over the world have realized the value of providing educational information and services electronically. With this growing interest in e-learning, the question of how to increase learner's adoption and usage of e-learning services including recommender systems has been raised. In order to facilitate students' adoption and use the e-learning service channel, educational institutions and e-learning researchers need to understand factors that influence students' adoption and usage of e-learning recommender systems. Grounded in the Technology Acceptance Model (TAM) framework, this paper develops a unique conceptual model by integrating the TAM with a set of new factors identified in the literature: user experience and service quality. The revised TAM model developed in this paper is to study, at a later stage, the impact of these factors on students' adoption of e-learning recommender systems in developing countries. As part of a larger research project, this paper reports the survey instrument development and validation in the field. We administered a survey instrument to a sample of 75 students randomly chosen from university students in Saudi Arabia. Although the sample was small, it indicates that the reliability of the scales is within an acceptable range and it can be used to test the main study hypotheses.
Publication Type: Conference Publication
Conference Name: 2017 International Conference on New Trends in Computing Sciences (ICTCS), Amman, Jordan, 11th - 13th October, 2017
Conference Details: 2017 International Conference on New Trends in Computing Sciences (ICTCS), Amman, Jordan, 11th - 13th October, 2017
Source of Publication: Proceedings of the 2017 International Conference on New Trends in Computing Sciences, p. 309-313
Publisher: IEEE: Institute of Electrical and Electronics Engineers
Place of Publication: Piscataway, United States of America
Field of Research (FOR): 080608 Information Systems Development Methodologies
080609 Information Systems Management
080603 Conceptual Modelling
Socio-Economic Outcome Codes: 899999 Information and Communication Services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: E1 Refereed Scholarly Conference Publication
Other Links: https://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8246104
Appears in Collections:Conference Publication
UNE Business School

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