scholarly journals IMPROVING THE ERGONOMIC QUALITY OF AR-BASED E-LEARNING SYSTEMS: A TASK-BASED DESIGN APPROACH

2014 ◽  
Vol 9 (2) ◽  
pp. 150-157
Author(s):  
Costin Pribeanu
Keyword(s):  
Augmented Reality ◽  
Learning Systems ◽  
Design Approach ◽  
Learning Goals ◽  
Teaching Platform ◽  
User Centred Design ◽  
Usability Problem ◽  
E Learning ◽  
Task Sequences

Augmented reality (AR) is a challenging technology for e-learning. Nevertheless, the benefits of AR in terms of increased engagement and motivation could be undermined by a low ergonomic quality. A challenge for designers is to provide students with a usable AR environment that is able to support an effective and efficient achievement of their learning goals. A user-centred design approach requires understanding users and the tasks they perform. This analysis focuses on task modelling and presents a task-based approach to the development of a Chemistry application implemented on an AR teaching platform. The task model enables an analysis of critical task sequences, helps to prevent potential usability problem, and provides with a basis for a task-based approach to evaluation. Key words: ergonomic quality, user-centred design, usability, task modelling, e-learning, augmented reality.

Web 3.0 and E-Learning

2015 ◽  
pp. 101-123 ◽  
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

Web 3.0 and E-Learning

2016 ◽  
pp. 41-62
Author(s):  
Amit Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Semantic Web ◽  
Learning Goals ◽  
Learning Behavior ◽  
Defining Moment ◽  
Web 3.0 ◽  
E Learning ◽  
Future Of Education ◽  
The Web

The annals of the Web have been a defining moment in the evolution of education and e-Learning. The evolution of Web 1.0 almost three decades ago has been a precursor to Web 3.0 that has reshaped education and learning today. The evolution to Web 3.0 has been synonymous with “Semantic Web” or “Artificial Intelligence” (AI). AI makes it possible to deliver custom content to the learners based on their learning behavior and preferences. As a result of these developments, the learners have been empowered and have at their disposal a range of Web tools and technology powered by AI to pursue and accomplish their learning goals. This chapter traces the evolution and impact of Web 3.0 and AI on e-Learning and its role in empowering the learner and transforming the future of education and learning. This chapter will be of interest to educators and learners in exploring techniques that improve the quality of education and learning outcomes.

Mobile Learning

2011 ◽  
pp. 103-128
Author(s):  
Marija Zelic
Keyword(s):  
Mobile Learning ◽  
Relevant Literature ◽  
Learning Systems ◽  
Personal Digital Assistants ◽  
Desktop Computers ◽  
Efficiency And Effectiveness ◽  
E Learning ◽  
New Ideas ◽  
Access To Knowledge

Mobile learning, as the “portable and personal” fashion of e-learning, is intended to enhance the efficiency and effectiveness of learning in the context of handheld terminals. Most present-day learning systems run on desktop computers and are not designed for use on mobile devices such as mobile phones, smart phones, Personal Digital Assistants, etc. Mobile learning systems aim to improve the quality of learning by providing mobile learners with an easy, contextualized and ubiquitous access to knowledge. This chapter gives an overview of the current state of knowledge and research in the m-learning domain, describes issues and problems pertinent to mobile learning and offers our approach to solving these problems in the form of a mobile intelligent tutoring model we are currently developing. Given the present absence of relevant literature and referent material we think that this chapter provides developers with some new ideas.

Differences of E-Learning Systems With the Focus on Moodle and Blackboard Systems

2021 ◽  
Vol 13 (1) ◽  
pp. 15-30
Author(s):  
Krešimir Buntak ◽  
Maja Mutavdžija ◽  
Matija Kovačić
Keyword(s):  
Literature Review ◽  
Education System ◽  
New Technologies ◽  
Virtual Learning Environment ◽  
Learning Systems ◽  
Educational Institutions ◽  
Blackboard Systems ◽  
Technological Concepts ◽  
E Learning

With the development of new technologies and their implementation in all areas of life, especially education, it is important to understand and accept all the new educational/technological concepts and their benefits. Through the concept of virtual learning environment, educational institutions can improve the quality of the learning process, reduce costs, but also improve communication between students and lecturers. The main objective of this paper is to present characteristics of two most used e-learning systems (Moodle and Blackboard) and provide results of the literature review on the differences of these two systems. Based on the results of literature review, a comparison between Moodle and Blackboard based on ISO 25010 framework is made. Through this secondary research, it was concluded that Moodle is the best solution for introducing a learning management system, but there are numerous opportunities for improving the education system at all levels.

scholarly journals A Semantic Web Solution for Enhancing The Interoperability of E-learning Systems by Using Next Generation of SCORM Specifications

2019 ◽  
Vol 14 (11) ◽  
pp. 174 ◽  
Author(s):  
Abdellah Bakhouyi ◽  
Rachid Dehbi ◽  
Mouad Banane ◽  
Mohamed Talea
Keyword(s):  
Learning Community ◽  
Cost Reduction ◽  
Learning Management Systems ◽  
Learning Systems ◽  
Management Systems ◽  
Web Technologies ◽  
Use Of Data ◽  
Tech Nologies ◽  
E Learning

E-learning is a very dynamic field, constantly growing, which refers to an educa-tional content or learning experiences provided or made by means of digital tech-nologies. The development of this area has a direct impact on the quality of edu-cation and cost reduction. E-learning is now dominated by learning management systems such as Moo-dle, to improve the interoperability of these systems; the use of data / resources is a major requirement, this need to push the e-Learning community to seek new approaches to improve this interoperability of systems. On the other hand, se-mantic Web technologies offers standards like RDF allows to describe Web re-sources with their metadata. We propose in this work an approach based on Se-mantic Web technology to improve the interoperability of e-Learning systems like Moodle.

PENINGKATAN KINERJA SISTEM E-LEARNING DALAM PERSPEKTIF UNIVERSITAS 4.0 MENGGUNAKAN KERANGKA IT BALANCED SCORECARD

2020 ◽  
Vol 21 (1) ◽  
pp. 42-48
Author(s):  
Nadidah Ayu Syafitri ◽  
Muhammad Izman Herdiansyah
Keyword(s):  
Balanced Scorecard ◽  
Future Orientation ◽  
Learning Systems ◽  
Learning System ◽  
Corporate Contribution ◽  
E Learning ◽  
User Orientation ◽  
The University ◽  
Operational Excellence

Bina Darma University (UBD) as one of the university based information technology currently has been assisted by the use of IT in implementing its strategy. University 4.0 is a university that makes students as a learning center and assisted by the use of IT.  UBD in conducting learning has been assisted by e-learning which is one of the benchmarks of 4.0 University perspectives. E-Learning implementation assists the learning process by students and lecturers. The performance of the e-learning system has not been measured. Measurements are performed to improve the quality of e-learning systems in the 4.0 university perspective. To perform analysis used the IT framework Balanced Scorecard consisting of four perspectives namely Corporate Contribution/Business Contribution, User Orientation, Operational Excellence and Future Orientation. The result of this research is an improved analysis of quality and strategies to improve the quality of e-learning systems in the 4.0 university perspective.

A sustainable quality assessment model for the information delivery in E-learning systems

2018 ◽  
Vol 46 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Shahid Farid ◽  
Rodina Ahmad ◽  
Mujahid Alam ◽  
Atif Akbar ◽  
Victor Chang
Keyword(s):  
Quality Assessment ◽  
State Of The Art ◽  
Statistical Tests ◽  
Information Delivery ◽  
Learning Systems ◽  
Learning System ◽  
Assessment Model ◽  
Content Type ◽  
E Learning

Purpose The purpose of this study is to propose a sustainable quality assessment approach (model) for the e-learning systems keeping software perspective under consideration. E-learning is becoming mainstream due to its accessibility, state-of-the-art learning, training ease and cost effectiveness. However, the poor quality of e-learning systems is one of the major causes of several failures reported. Moreover, this arena lacks well-defined quality assessment measures. Hence, it is quite difficult to measure the overall quality of an e-learning system effectively. Design/methodology/approach A pragmatic mixed-model philosophy was adopted for this study. A systematic literature review was performed to identify existing e-learning quality models and frameworks. Semi-structured interviews were conducted with e-learning experts following empirical investigations to identify the crucial quality characteristics of e-learning systems. Various statistical tests like principal component analysis, logistic regression, chi-square and analysis of means were applied to analyze the empirical data. These led to an adequate set of quality indicators that can be used by higher education institutions to assure the quality of e-learning systems. Findings A sustainable quality assessment model for the information delivery in e-learning systems in software perspective has been proposed by exploring the state-of-the-art quality assessment/evaluation models and frameworks proposed for the e-learning systems. The proposed model can be used to assess and improve the process of information discovery and delivery of e-learning. Originality/value The results obtained led to conclude that very limited attention is given to the quality of e-learning tools despite the importance of quality and its effect on e-learning system adoption and promotion. Moreover, the identified models and frameworks do not adequately address quality of e-learning systems from a software perspective.

scholarly journals EVALUASI KEPUASAN PENGGUNA E-LEARNING PADA PROSES PEMBELAJARAN DARING DI INSTITUT MANAJEMEN WIYATA INDONESIA

ARIKA ◽  
2020 ◽  
Vol 14 (2) ◽  
pp. 75-82
Author(s):  
Eneng Fitri Handayani ◽  
Mariati Tirta Wiyata
Keyword(s):  
Online Learning ◽  
Data Collection ◽  
Learning Process ◽  
User Satisfaction ◽  
Weighted Average ◽  
Learning Systems ◽  
E Learning ◽  
Descriptive Method

The research aims to obtain an overview of the (1) The quality of e-learning systems, (2) The quality of e-learning information, (3) The quality of e-learning services, and (4) e-Learning user satisfaction in the online learning process at the Institut Manajemen Wiyata Indonesia. This research uses the descriptive method of weighted average evaluative. Data collection is implemented by spreading the questionnaire. The results showed: (1) The quality of E-learning systems in the online learning process is categorized (well), (2) The quality of E-learning information on the online learning process is categorized (well), (3) The quality of E-learning services on the category of online learning is not good, (4) The satisfaction of E-learning users in the online learning process is categorized well.

Sign in / Sign up

Export Citation Format

Share Document