Perceived Usability Evaluation of Learning Management Systems: A First Step towards Standardization of the System Usability Scale in Greek

2012 ◽  
Author(s):  
Christos Katsanos ◽  
Nikolaos Tselios ◽  
Michalis Xenos
Keyword(s):  
Learning Management Systems ◽  
Usability Evaluation ◽  
Management Systems ◽  
System Usability Scale ◽  
System Usability ◽  
Learning Management ◽  
Perceived Usability ◽  
Evaluation Of Learning

scholarly journals Perceived usability evaluation of learning management systems: Empirical evaluation of the System Usability Scale

2015 ◽  
Vol 16 (2) ◽  
Author(s):  
Konstantina Orfanou ◽  
Nikolaos Tselios ◽  
Christos Katsanos
Keyword(s):  
Empirical Evaluation ◽  
Learning Management Systems ◽  
Usability Evaluation ◽  
Small Sample ◽  
Management Systems ◽  
Validity And Reliability ◽  
System Usability Scale ◽  
System Usability ◽  
Learning Management ◽  
Perceived Usability

<h4>Perceived usability affects greatly student’s learning effectiveness and overall learning experience, and thus is an important requirement of educational software. The System Usability Scale (SUS) is a well-researched and widely used questionnaire for perceived usability evaluation. However, surprisingly few studies have used SUS to evaluate the perceived usability of learning management systems (LMSs). This paper presents an empirical evaluation of the SUS questionnaire in the context of LMSs’ perceived usability evaluation. Eleven studies involving 769 students were conducted, in which participants evaluated the usability of two LMSs (eClass and Moodle) used within courses of their curriculum. It was found that the perceived usability of the evaluated LMSs is at a satisfactory level (mean SUS score 76.27). Analysis of the results also demonstrated the validity and reliability of SUS for LMSs’ evaluation, and that it remains robust even for small sample sizes. Moreover, the following SUS attributes were investigated in the context of LMSs evaluation: gender, age, prior experience with the LMS, Internet self-efficacy, attitude towards the Internet and usage frequency of the LMS.</h4>

A Quantum NeuroIS Data Analytics Architecture for the Usability Evaluation of Learning Management Systems

2021 ◽  
pp. 416-434
Author(s):  
Raul Valverde ◽  
Beatriz Torres ◽  
Hamed Motaghi
Keyword(s):  
Data Collection ◽  
Computer Anxiety ◽  
Learning Management Systems ◽  
Past Research ◽  
Usability Evaluation ◽  
Ease Of Use ◽  
Quantum Model ◽  
Learning Management ◽  
Evaluation Of Learning ◽  
Electroencephalogram Eeg

NeuroIS uses tools such as electroencephalogram (EEG) that can be used to measure high brainwave frequencies that can be linked to human anxiety. Past research showed that computer anxiety influences how users perceive ease of use of a learning management system (LMS). Although computer anxiety has been used successfully to evaluate the usability of LMS, the main data collection mechanisms proposed for its evaluation have been questionnaires. Questionnaires suffer from possible problems such as being inadequate to understand some forms of information such as emotions and honesty in the responses. Quantum-based approaches to consciousness have been very popular in the last years including the quantum model reduction in microtubules of Penrose and Hameroff (1995). The objective of the chapter is to propose an architecture based on a NeuroIS that collects data by using EEG from users and then use the collected data to perform analytics by using a quantum consciousness model proposed for computer anxiety measurements for the usability testing of a LMS.

The Evaluation Cycle Management - Method Applied to the Evaluation of Learning Management Systems

2010 ◽  
pp. 58-80
Author(s):  
Matija Pipan ◽  
Tanja Arh ◽  
Borka Jerman Blažic
Keyword(s):  
Decision Making ◽  
Usability Testing ◽  
Learning Management Systems ◽  
Management Systems ◽  
Second Phase ◽  
Hierarchical Decision ◽  
Multi Attribute Decision Making ◽  
Learning Management ◽  
Hierarchical Decision Model ◽  
Evaluation Of Learning

The chapter deals with a complex decision-making problem, the selection and evaluation of Learning Management Systems (LMS) in which several objectives - referring to the definite group of users - like social, technical, environmental, and economic impacts, must be simultaneously taken into account. We introduce Evaluation Cycle Management (ECM), a support methodology aimed at the evaluation of options that occur in the decision-making processes. ECM is based on Multi-attribute decision making (Criteria Evaluation) and Usability Testing (Usability Evaluation). The Multi-attribute decision making in the first phase of ECM presents an approach to the development of a qualitative hierarchical decision model that is based on DEX, an expert system shell for multi-attribute decision support. The second phase of ECM is aimed at Usability Testing on end users. ECM illustrates its usefulness by showing its main features and its application to the above problem. It is based on the theoretical and practical expertise related to the quality and usability assurance of LMS.

Sign in / Sign up

Export Citation Format

Share Document