Investigating the Effect of Color on Memorization and Trust in E-Learning

2011 ◽  
pp. 52-78 ◽  
Author(s):  
Jean-Eric Pelet ◽  
Panagiota Papadopoulou
Keyword(s):  
Qualitative Study ◽  
Learning Process ◽  
Learning System ◽  
Educational Content ◽  
Learning Content ◽  
Learning Platform ◽  
Atmospheric Variable ◽  
E Learning ◽  
Learning Platforms

The objective of this chapter is to study the effect of the color of e-learning platforms as an atmospheric variable of the interface on the learning process. It focuses on two important variables: memorization and trust. First, it aims to explore the effect of color on the memorization of the educational content available in an e-learning platform. It investigates if the colored appearance of an e-learning system reinforces readability, suitability, and above all the memorizing process leading to learning. Second, it investigates the effect of color on trust in an e-learning platform and in the e-learning content. The chapter offers an examination of the role of the interface and the color in e-learning and memorization and presents trust in e-learning based on an exploratory qualitative study on how trust is developed in a website, as a result of the colors of the online interface. A case of an e-learning platform has been investigated to understand how the colors of the interface can enhance student memorization of the content as well as trust.

scholarly journals Design and Implementation of a Gesture-Aided E-Learning Platform

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8042
Author(s):  
Wolfgang Kremser ◽  
Stefan Kranzinger ◽  
Severin Bernhart
Keyword(s):  
Learning Outcomes ◽  
Field Test ◽  
Learning Experience ◽  
Learning Content ◽  
Learning Platform ◽  
System Usability Scale ◽  
E Learning ◽  
Learning Platforms ◽  
Reference Implementation ◽  
Generic System

In gesture-aided learning (GAL), learners perform specific body gestures while rehearsing the associated learning content. Although this form of embodiment has been shown to benefit learning outcomes, it has not yet been incorporated into e-learning. This work presents a generic system design for an online GAL platform. It is comprised of five modules for planning, administering, and monitoring remote GAL lessons. To validate the proposed design, a reference implementation for word learning was demonstrated in a field test. 19 participants independently took a predefined online GAL lesson and rated their experience on the System Usability Scale and a supplemental questionnaire. To monitor the correct gesture execution, the reference implementation recorded the participants’ webcam feeds and uploaded them to the instructor for review. The results from the field test show that the reference implementation is capable of delivering an e-learning experience with GAL elements. Designers of e-learning platforms may use the proposed design to include GAL in their applications. Beyond its original purpose in education, the platform is also useful to collect and annotate gesture data.

Voice-Based e-Learning Approach for e-Government

2011 ◽  
pp. 25-33
Author(s):  
A. A. Azeta ◽  
Charles K. Ayo ◽  
Aderemi Aaron Anthony Atayero ◽  
Nicholas Ikhu-Omoregbe
Keyword(s):  
Business Processes ◽  
Learning Strategy ◽  
Organizational Structures ◽  
Learning System ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms ◽  
Mobility Impaired ◽  
Methods Of Learning ◽  
Physically Challenged

Government establishments are most times highly involved in different reorganization programs. The processes in e-Government are diversified and complex, hence the need for an appropriate training and learning strategy for governmental employees. Changing business processes and organizational structures always mean that the personnel have to be familiar with the changed procedures. Consequently, the employees need to be trained to develop capacity for new responsibilities. Existing methods of learning and training do not make provision for certain category of employees such as the visually impaired. They do not provide an alternative learning platform for government of employees that are not physically challenged. Many studies have demonstrated the value of several learning platforms, including mobile learning (m-Learning) but with the problems of access barriers and streamlined participation of most learners. The purpose of this chapter is to propose a voice-based e-Learning system, also known as voice-learning (v-Learning) as a variant of the m-Learning with particular relevance for the visually and mobility impaired learners. V-Learning makes possible ubiquitous learning in e-Government and provides additional capacity and speed of response to help facilitate change. Cost reduction is also achieved and there is no shortage of teachers.

scholarly journals Pengukuran Tingkat Kesiapan E-learning Guru di Kota Jayapura di Masa Pandemik Covid-19

Techno Com ◽  
2021 ◽  
Vol 20 (4) ◽  
pp. 518-526
Author(s):  
Remuz Maurenz Bertho Kmurawak ◽  
Samuel Alexander Mandowen
Keyword(s):  
Rapid Change ◽  
Learning System ◽  
Teachers Perceptions ◽  
Learning Content ◽  
Learning Platform ◽  
E Learning ◽  
Level 3 ◽  
System Data ◽  
Content Availability ◽  
Quality Learning

E-learning is one of the revolutions in the education system that encourages the acceleration of quality learning. The Covid-19 pandemic has become a catalyst for accelerating the implementation of e-learning in Jayapura, Papua. Teachers are required to be able to adapt to this rapid change. Thus, E-learning becomes essential amid the pandemic, yet the ICT indicators reveal many barriers to implementing it. This study aims to assess the level of readiness of the teachers in implementing the e-learning system. Data was collected by distributing questionnaires to the teachers from elementary to high school in Jayapura City. Technology infrastructures, human resources, and e-learning content were the main variables to measure. This study indicated that based on teachers' perceptions, more than 70 percent were using google classroom as an e-learning platform. The level of readiness was level 3 (ready with minor improvements). Infrastructures, internet access, and e-learning content availability are the indicators that needed extra attention for improvement

A Unified Quality Control Model for E-Learning Systems

2017 ◽  
Vol 7 (3) ◽  
pp. 1355
Author(s):  
Khalid Hamed Allehaibi ◽  
Nasser Nammas Albaqami
Keyword(s):  
Quality Control ◽  
Quality Management ◽  
Learning Process ◽  
Control Model ◽  
Learning Systems ◽  
Learning System ◽  
Quality Requirements ◽  
Learning Platform ◽  
E Learning

Defining, measuring, and achieving quality of e-learning systems are not an easy task. Accordingly, one of the most essential goals for the higher educational institutes is how to reach a high and satisfied level of quality in their learning systems. Achieving such level needs adequate and continuous improvements for the whole e-learning environment elements. Therefore, we aim in our work to construct a unified framework for total quality management system (TQMS) that attempt to satisfy the quality requirements, needs, and standards. The objective of this paper is to present a quality control model for e-learning system that adopts the e-learning platform according to the on-line determination of both user's requirements and global standards. This paper proposed software architecture of quality Management framework for e-learning that could be adopted by different higher education institutes to control the quality of the e-learning process, and assure the quality of the e-learning process outcome. The proposed framework is based on a tri-dimensions quality model. The three dimensions are set of quality requirements for e-learning environment represented in Quality Assurance (QA) policies that will be formalized by using policy based approach, the specifications of e-learning platform that provide learning and teaching activities, and quality control process loop. The architecture for monitor and ensure quality control of the QA policies for e-learning system will deliver the whole learning services in an optimal way. It is also flexible and can be implemented over any e-learning system.

scholarly journals Understanding the role of individual learner in adaptive and personalized e-learning system

2021 ◽  
Vol 10 (6) ◽  
pp. 3313-3324
Author(s):  
Alva Hendi Muhammad ◽  
Dhani Ariatmanto
Keyword(s):  
Individual Characteristics ◽  
Learning System ◽  
Student Modeling ◽  
Domain Modeling ◽  
Dynamic Learning ◽  
Learner Modeling ◽  
Learner Model ◽  
Learning Platform ◽  
E Learning

Dynamic learning environment has emerged as a powerful platform in a modern e-learning system. The learning situation that constantly changing has forced the learning platform to adapt and personalize its learning resources for students. Evidence suggested that adaptation and personalization of e-learning systems (APLS) can be achieved by utilizing learner modeling, domain modeling, and instructional modeling. In the literature of APLS, questions have been raised about the role of individual characteristics that are relevant for adaptation. With several options, a new problem has been raised where the attributes of students in APLS often overlap and are not related between studies. Therefore, this study proposed a list of learner model attributes in dynamic learning to support adaptation and personalization. The study was conducted by exploring concepts from the literature selected based on the best criteria. Then, we described the results of important concepts in student modeling and provided definitions and examples of data values that researchers have used. Besides, we also discussed the implementation of the selected learner model in providing adaptation in dynamic learning.

scholarly journals Educational data mining in moodle data

2021 ◽  
Vol 10 (1) ◽  
pp. 9
Author(s):  
Sushil Shrestha ◽  
Manish Pokharel
Keyword(s):  
Data Mining ◽  
Learning Process ◽  
Educational Data Mining ◽  
Feature Selection Method ◽  
Learning System ◽  
Significant Feature ◽  
Support Vector ◽  
Learning Platform ◽  
E Learning ◽  
Teaching Learning

<p>The main purpose of this research paper is to analyze the moodle data and identify the most influencing features to develop the predictive model. The research applies a wrapper-based feature selection method called Boruta for the selection of best predicting features. Data were collected from eighty-one students who were enrolled in the course called Human Computer Interaction (COMP341), offered by the Department of Computer Science and Engineering at Kathmandu University, Nepal. Kathmandu University uses Moodle as an e-learning platform. The dataset contained eight features where Assignment.Click, Chat.Click, File.Click, Forum.Click, System.Click, Url.Click, and Wiki.Click was used as the independent features and Grade as the dependent feature. Five classification algorithms such as K Nearest Neighbour, Naïve Bayes, and Support Vector Machine (SVM), Random Forest, and CART decision tree were applied in the moodle data. The finding shows that SVM has the highest accuracy in comparison to other algorithms. It suggested that File.Click and System.Click was the most significant feature. This type of research helps in the early identification of students’ performance. The growing popularity of the teaching-learning process through an online learning system has attracted researchers to work in the field of Educational Data Mining (EDM). Varieties of data are generated through several online activities that can be analyzed to understand the student’s performance which helps in the overall teaching-learning process. Academicians especially course instructors who use e-learning platforms for the delivery of the course contents and the learners who use these platforms are highly benefited from this research.</p>

scholarly journals Exploring Relationship among E-Learning Platforms, Technical System Quality and Perceived Students’ Satisfaction on Higher Educations’ System for E-Learning

2021 ◽  
Vol 14 (1) ◽  
pp. 16
Author(s):  
Leonnard Leonnard
Keyword(s):  
Student Satisfaction ◽  
Learning System ◽  
Technical System ◽  
System Quality ◽  
Chi Square ◽  
Learning Platform ◽  
Perceived Satisfaction ◽  
E Learning ◽  
Learning Platforms ◽  
Students Satisfaction

Currently, most Indonesian universities have adopted an online academic management information system (AMIS) to provide academic and administrative service activities. This study aims to explore the relationship between the e-learning platforms and the technical system quality, and the perceived satisfaction of students. Data were collected using questionnaires distributed to 286 students of a university. The questionnaire showed that there is a difference in the e-learning tools, techniques, or platforms used by the students. The results of the chi-square test show that there is no significant relationship between e-learning platform and technical system quality and also perceived satisfaction of the students. That shows the platform choices do not affect students’ perception of quality and satisfaction. However, technical system quality is significantly related to perceived student satisfaction.  Therefore, the e-learning quality should be improved in line with the innovation of a learning system during the pandemic, so that students’ satisfaction in the learning involvement increase.

Integrated Learning Approaches Based on Cloud Computing for Personalizing e-Learning Environment

2019 ◽  
Vol 14 (2) ◽  
pp. 67-87
Author(s):  
Noha Ezzat El-Attar ◽  
Niveen Abo El-Ela ◽  
Wael A. Awad
Keyword(s):  
Cloud Computing ◽  
Learning Environment ◽  
Resource Provisioning ◽  
Learning System ◽  
Learning Approaches ◽  
Educational Organizations ◽  
Cloud Computing Environment ◽  
Learning Content ◽  
E Learning

Improving the performance of e-learning services to provide a scalable and effective e-learning system is a big challenge for the educational organizations. The e-learning system faces many challenges in pedagogical services (e.g. learning design and learning content problems), and technical services (e.g. resource provisioning and financial cost). This article presents an e-learning environment based on cloud computing (PCLE) in attempt to enhance the e-learning services' by customizing the contents of the course's material depending on the students' knowledge, experiences, and requirements. Also, the system focuses on supporting and achieving reusability, interoperability, adaptation and personalization in order to overcome the passive role of the student and transfer it into an interactive and useful participation. On the other hand, PCLE is built over the cloud computing environment trying to overcome the traditional web-hosting challenges as scalability, availability, and cost.

scholarly journals Using an Intelligent Tutoring System to Support Learners’ WMC in e-learning: Application in Mathematics Learning

2018 ◽  
Vol 13 (12) ◽  
pp. 142 ◽  
Author(s):  
Bouchra El Mamoun ◽  
Mohamed Erradi ◽  
Abderrahim El Mhouti
Keyword(s):  
Academic Success ◽  
Learning Process ◽  
Mathematics Learning ◽  
Learning Performance ◽  
Educational Technologies ◽  
Mental Work ◽  
Term Memory ◽  
Learning Content ◽  
Learning Platform ◽  
E Learning

Learning is a complex process linked to a number of individual, cognitive and affective characteristics of the learner. In this context, the learner’s Working Memory (WM) concept has also been identified as a preacher of learning performance. In the learning process, solving a problem is an essential part of the learner's WM. Its capacity and performance are predictive factors of academic success. The success of the given problem depends on a good selection, processing and transformation of this information. This mental work within the WM requires a good WM Capacity (WMC). The improvement of the WMC needs some strategies which focus on the learning content and the use of educational technologies in the learning process. Encouraged by the results of previous research, this work aims to harness the potential of educational technologies to enhance the learners' WM ability in learning mathematics in an e-learning environment. In order to help learners with low WMC in e-learning, this paper proposes to set up an e-learning platform integrating an Intelligent Tutorial System (ITS). The purpose of this ITS is to manage the limited ability of the learner's WM by adopting strategies that improve the transition of mathematical knowledge from short-term memory to long-term memory. The proposed ITS generates e-learning content that will serve to improve the learner's WMC, and subsequently improve his learning performance.

scholarly journals Learner-content interaction in e-learning- the moderating role of perceived harm of COVID-19 in assessing the satisfaction of learners

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Pardeep Kumar ◽  
Charu Saxena ◽  
Hasnan Baber
Keyword(s):  
System Development ◽  
Moderating Effect ◽  
Learning System ◽  
Learning Content ◽  
E Learning ◽  
Content Interaction ◽  
The Impact ◽  
Students Satisfaction ◽  
Perceived Harm

AbstractEnvisioning learning sans interaction is absurd. Interaction plays a pivotal role in the efficacy and effectiveness of the present-day blended learning systems. Learner-content interaction contributes predominately towards the successful realization of the expected learning outcomes. In order to satisfy the learners and to impart them quality knowledge and education, e-learning content comprising of excellent learning and website content is of paramount importance. In the present COVID-19 outbreak challenging times the significance of e-learning system development and its application is much more pronounced. To gauge this, the study aims to examine the relationship between learner-content and the e-learning quality to determine the impact of e-learning quality on learners’ satisfaction under the moderating effect of perceived harm due to COVID-19. A structured questionnaire was used to gather data from 435 graduate and undergraduate management students (International and national) in Indian Universities. Findings indicate statistically significant relationships between the e-learning content and e-learning quality and; e-learning quality and the students’ satisfaction. The perceived harm has an insignificant moderating effect on students’ satisfaction. The results of the study further depict that the quality of e-learning has a significant positive relationship with the students’ satisfaction, and this relationship is not affected by the threat of being infected on the campus during the pandemic of COVID-19. To achieve the learners’ satisfaction, the institutions should strive for rendering the e-learning content of supreme quality. The mediating role of e-learning quality between content and students’ satisfaction is also established to be a significant one.

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