E-learning User Interface Acceptance Based on Analysis of User's Style, USAbility and User Benefits

E-learning does not function properly if the system is not in accordance with user needs. This study aims to establish an evaluation model for e-learning user interface according to user acceptance. The model is designed based on three categories: user learning style, USAbility and user benefits. Results of measurements of the three categories will determine the level of user acceptance of the e-learning interface. The data were taken using a questionnaire which was distributed to 125 ELS students from various countries. Then processed using SEM and Lisrel v8.80. This paper presents experimental set up for the general research and some results for technology acceptance theories

The role of quality factors on learning management systems adoption from instructors' perspectives

Learning management systems have been largely used in universities for teaching, student learning, curriculum, and staff development. However, just providing higher education institutions with a learning management system does not guarantee a success. Quality assurance of these systems has become a central concern for practitioners, researchers, and system providers. In this context, this empirical research investigates quality factors that can contribute to learning management system adoption. In addition, the study developed a research model based on TAM and information systems success model by integrating associated quality indicators inclusive of system quality, service quality, information quality, and instructor quality. Quantitative data using questionnaire gathered from 365 lecturers in Palestine universities were inspected to evaluate the influence of various constructs on lecturers’ adoption of learning management systems using structural equation modeling analysis technique. The research findings show that information quality, system quality, service quality, and instructors’ quality can contribute to e-learning management system adoption with regards to their beliefs. This Research contributes positively to the limited literature on assessing the quality predictors of learning management system adoption

Open source e-learning application adoption: Medical colleges in a developing world.

A review of normative literature, in the field of Electronic Learning (e-learning) implementation, indicates that traditional approaches to e-learning implementation in higher education have failed to result in cost effective, integrated and sustainable learning environment. In addressing this issue, a new movement called Open Source (OS) has emerged and addresses most of traditional e-learning application by resulting in the development of reusable and manageable platforms. The use of Open Source E-Leaming Applications (OSELA) in Higher Education Institutes (HEI) is a new research area with many research issues needing to be investigated. At this end, OSELA adoption has not efficiently studied with HEI and researchers needing to understand and analyze OSELA adoption.This work examines the introduction of Open Source E-Learning Applications in Higher Education Institutes and proposes a novel model for its adoption. The model is based on a comprehensive set of factors that influence the introduction of OSELA in HEI.The work is based on a qualitative case study approach to examine the concepts of the proposed model for the adoption of OSELA. In doing so, three case studies were conducted in Medical Higher Education Institutions. The case studies were presented and analyzed. However, some modifications were made to the conceptual model as some complementary factors emerged during the empirical research. The main factors that influence the adoption of OSELA are: (a) costs; (b) benefits; (c) barriers; (d) external pressures; (e) support; (f) level of IT sophistication; (g) limitations of existing IT infrastructure, (h) internal pressure and, (i) an evaluation framework that supports higher education institutes to assess OSELA.The proposed model makes novel contribution and can be used as a decision-making tool to support management when taking decisions regarding the adoption of OSELA. Additionally, it can be used by researchers to analyse and understand the adoption of Open Source Software for E-learning