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Toward a Model for E-learning Recommender System Adoption: a Pilot Study

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on New Trends in Computing Sciences
EditorsArafat Awajan, Adnan Shaout
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages309-313
ISBN (Print)9781538605271
DOIs
Publication statusPublished - 2017
EventICTCS 2017: 2017 International Conference on New Trends in Computing Sciences - Amman, Jordan
Duration: 11 Oct 201713 Oct 2017

Conference

ConferenceICTCS 2017: 2017 International Conference on New Trends in Computing Sciences
CityAmman, Jordan
Period11/10/1713/10/17

Keywords

  • Conceptual Modelling
  • Information Systems Management
  • Information Systems Development Methodologies

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