scholarly journals Sakai: A Mobile Learning Platform

2019 ◽  
Vol 13 (11) ◽  
pp. 95
Author(s):  
Corrienna Abdul Talib ◽  
Hassan Aliyu ◽  
Adi Maimun Abdul Malik ◽  
Kang Hooi Siang ◽  
Igor Novopashenny ◽  
...  
Keyword(s):  
Learning Style ◽  
Mobile Learning ◽  
Research Methodology ◽  
Quantitative Research ◽  
Thinking Skills ◽  
Mobile Technologies ◽  
Electronic Learning ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms

These days, humans have been witnessing related technological and social development, by means of which mobile technologies and Internet yield global access to information with mobility of knowledge. Mobile learning platforms are designed based on electronic learning (e-learning) and mobility. It is regarded as a useful way to enhance the learning process. Sakai as a mobile learning platform, design intentions are to be adaptable to any educational purposes, within or outside the institution, dependent on the provision of effectiveness in classroom instruction based on the learning style of the students, extensible in the cultivation of thinking skills in the learner, and efficient in communicating and exchanging data among its enrolled classroom members and other online platforms. This study employed a systematic review of related literature to investigate the predominant research methodology adopted by various scholars to assess necessary factors concerning mobile learning platform. Fifteen articles are selected based on established criteria. The findings indicated that most of the researchers used quantitative research methodology in investigating the effectiveness and concern variable of mobile learning. Also find out is that most of the outcome of the studies include, achievement, perception, pedagogy, motivation and mobile learning platform as a form of educational technology.

scholarly journals Online Learning Styles Identification Model, Based on the Analysis of User Interactions Within an E-Learning Platforms, Using Neural Networks and Fuzzy Logic

2018 ◽  
Vol 7 (3.13) ◽  
pp. 76
Author(s):  
L Alfaro ◽  
C Rivera ◽  
J Luna-Urquizo ◽  
E Castañeda ◽  
F Fialho
Keyword(s):  
Fuzzy Logic ◽  
Learning Styles ◽  
Learning Style ◽  
User Behavior ◽  
Backpropagation Neural Network ◽  
User Interactions ◽  
Learning Platform ◽  
Proposed Model ◽  
E Learning ◽  
Learning Platforms

Individual Learning Style identification is an essential aspect in the development of intelligent or adaptive e-Learning platforms. Traditional methods are based on the application of questionnaires or psychological tests, which may not be the most appropriate in all cases. The proposed model is based on the analysis of user behavior through the study of their interactions within an e-Learning platform, using a multilayer Backpropagation Neural Network and Fuzzy Logic concepts, for the preprocessing of the inputs and the categorization of the outputs.                                                                              

scholarly journals Factors That Affect E-Learning Platforms after the Spread of COVID-19: Post Acceptance Study

Data ◽  
2021 ◽  
Vol 6 (5) ◽  
pp. 49
Author(s):  
Rana Saeed Al-Maroof ◽  
Khadija Alhumaid ◽  
Iman Akour ◽  
Said Salloum
Keyword(s):  
Conceptual Model ◽  
Critical Mass ◽  
Ease Of Use ◽  
Daily Routine ◽  
Perceived Ease Of Use ◽  
Online Questionnaire ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms ◽  
Vaccination Hesitancy

The fear of vaccines has led to population rejection due to various reasons. Students have had their own inquiries towards the effectiveness of the vaccination, which leads to vaccination hesitancy. Vaccination hesitancy can affect students’ perception, hence, acceptance of e-learning platforms. Therefore, this research attempts to explore the post-acceptance of e-learning platforms based on a conceptual model that has various variables. Each variable contributes differently to the post-acceptance of the e-learning platform. The research investigates the moderating role of vaccination fear on the post-acceptance of e-learning platforms among students. Thus, the study aims at exploring students’ perceptions about their post-acceptance of e-learning platforms where vaccination fear functions as a moderator. The current study depends on an online questionnaire that is composed of 29 items. The total number of respondents is 630. The collected data was implemented to test the study model and the proposed constructs and hypotheses depending on the Smart PLS Software. Fear of vaccination has a significant impact on the acceptance of e-learning platforms, and it is a strong mediator in the conceptual model. The findings indicate a positive effect of the fear of vaccination as a mediator in the variables: perceived ease of use and usefulness, perceived daily routine, perceived critical mass and perceived self-efficiency. The implication gives a deep insight to take effective steps in reducing the level of fear of vaccination, supporting the vaccination confidence among educators, teachers and students who will, in turn, affect the society as a whole.

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.

scholarly journals Generated PSM Web Model for E-learning Platform Respecting n-tiers Architecture

2017 ◽  
Vol 12 (10) ◽  
pp. 212 ◽  
Author(s):  
Aziz Srai ◽  
Fatima Guerouate ◽  
Naoual Berbiche ◽  
Hilal HilalDrissi
Keyword(s):  
Mobile Device ◽  
Professional Training ◽  
Role Playing ◽  
Transformation Language ◽  
Technological Diversity ◽  
Learning Platform ◽  
E Learning ◽  
Learning Platforms ◽  
Role Playing Game ◽  
View Transformation

E-learning, or learning via a computer or mobile device, is growing. It can take many forms, such as an annotated PowerPoint presentation, a tutorial, or an interactive role-playing game .The possibilities are endless. Today, 80% of companies and communities have done a number of interesting and effective e-learning solutions, and 30% of all professional training are e-learning courses. The development of these platforms is based mainly on different technologies. This technological diversity can make comparing or managing E-learning platforms difficult, and the choice of a given platform will be also complex. Therefore, to address this problem, this paper proposes a solution to generate a PSM model based on n-tier architecture from a PIM model. The language used is the QVT (Query View Transformation) transformation language.

scholarly journals Factors Affecting Students’ Acceptance of Mobile Learning Application in Higher Education during COVID-19 Using ANN-SEM Modelling Technique

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3121
Author(s):  
Mohammed Amin Almaiah ◽  
Enas Musa Al-lozi ◽  
Ahmad Al-Khasawneh ◽  
Rima Shishakly ◽  
Mirna Nachouki
Keyword(s):  
Mobile Learning ◽  
Teaching And Learning ◽  
Service Providers ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Modelling Technique ◽  
Distance Teaching ◽  
Perceived Ease Of Use ◽  
Learning Platform ◽  
Learning Platforms

Due to the COVID-19 pandemic, most universities around the world started to employ distance-learning tools. To cope with these emergency conditions, some universities in Jordan have developed “mobile learning platforms” as a new tool for distance teaching and learning for students. This experience in Jordan is still new and needs to be evaluated in order to identify its advantages and challenges. Therefore, this study aims to investigate students’ perceptions about mobile learning platforms as well as to identify the crucial factors that influence students’ use of mobile learning platforms. An online quantitative survey technique using Twitter was employed to collect the data. A two-staged ANN-SEM modelling technique was adopted to analyze the causal relationships among constructs in the research model. The results of the study indicate that content quality and service quality significantly influenced perceived usefulness of mobile learning platforms. In addition, perceived ease of use and perceived usefulness significantly influenced behavioral intention to use mobile learning platforms. The study findings provide useful suggestions for decision makers, service providers, developers, and designers in the ministry of education as to how to assess and enhance mobile learning platform quality and understanding of multidimensional factors for effectively using mobile learning platforms.

scholarly journals A Model for Mobile Learning Integration in Higher Education Based on Students’ Expectations

2020 ◽  
Vol 14 (11) ◽  
pp. 171
Author(s):  
Latinka Ivanova Todoranova ◽  
Radka Valerieva Nacheva ◽  
Vladimir Stoyanov Sulov ◽  
Bonimir Penchev Penchev
Keyword(s):  
Higher Education ◽  
Social Networks ◽  
Mobile Devices ◽  
Information And Communication Technologies ◽  
Mobile Learning ◽  
Communication Technologies ◽  
Study Program ◽  
Learning Platform ◽  
Information And Communication ◽  
E Learning

Mobile learning can be identified as the next stage in the development of e-learning. In this regard, <strong>the purpose of this paper</strong> is to propose a model for mobile learning integration in higher education which is based on analysis of students’ expectations. То achieve this goal, a survey has been conducted among students enrolled in programs in the field of information and communication technologies. The analysis of the collected data shows that students have mobile devices, which they use not only for communication on social networks, but also for education. In addition, their expectations regarding mobile learning have been identified taking into account their study program and their previous experience with an e-learning platform.

scholarly journals Reinforcement Learning Approach for Adaptive e-Learning Based on Multiple Learner Characteristics

2021 ◽  
Vol 4 (2) ◽  
pp. 55-76
Author(s):  
Dan Oyuga Anne ◽  
Elizaphan Maina
Keyword(s):  
Learning Style ◽  
Affective State ◽  
Learner Characteristics ◽  
Q Learning ◽  
Model Free ◽  
Learning Platform ◽  
Learning Path ◽  
Multiple Characteristics ◽  
E Learning ◽  
Extraction Model

We introduce a novel three stepwise model of adaptive e-learning using multiple learner characteristics. We design a model of a learner attributes enlisting the study domain, summary details of the student and the requirements of the student. We include the theories of learning style to categorize and identify specific individuals so as to improve their experience on the online learning platform and apply it in the model. The affective state extraction model which extracts learner emotions from text inputs during the platform interactions. We finally pass the system extracted information the adaptivity domain which uses the off-policy Q-learning model free algorithm (Jang et al., 2019) to structure the learning path into tutorials, lectures and workshops depending on predefined constraints of learning. Simulated results show better adaptivity incases of multiple characteristics as opposed to single learner characteristics. Further research to include more than three characteristics as in this research.

scholarly journals The Application of E-learning in English Teaching at Dong Nai Technology University

2021 ◽  
Vol 25 (1) ◽  
pp. 544
Author(s):  
Lien Cam
Keyword(s):  
Teaching And Learning ◽  
Study Data ◽  
Foreign Languages ◽  
Efl Learners ◽  
Learning Platform ◽  
Learning Programs ◽  
E Learning ◽  
Efl Students ◽  
Learning Platforms ◽  
The University

Many colleges and universities in Vietnam have employed e-learning platforms in teaching English with the hope to better students’ English proficiency. Recently, e-learning programs such as DNTU-LMS and Canvas have been implemented at Dong Nai Technology University. With their features of flexibility and efficiency, they have been being used as crucial tools for teaching and learning in various faculties in the university especially during the widespread of Covid-19 pandemic. The present study aimed at identifying the views of the EFL learners from Faculty of Foreign Languages on the application of e-learning platform. A group of 100 EFL students was chosen randomly to participate in this study. Data was collected using questionnaire. After analyzing student’s responses, the results proved that the introduction of e-learning was effective. E-learning also stimulates students to learn English and brings them comfort and joy.

Enhancing the management of unstructured data in e-learning systems using MongoDB

2015 ◽  
Vol 49 (1) ◽  
pp. 91-114 ◽  
Author(s):  
Milorad Pantelija Stevic ◽  
Branko Milosavljevic ◽  
Branko Rade Perisic
Keyword(s):  
Service Oriented Architecture ◽  
Structured Data ◽  
Learning Systems ◽  
Unstructured Data ◽  
Development Effort ◽  
Content Type ◽  
Learning Platform ◽  
Service Oriented ◽  
E Learning ◽  
Learning Platforms

Purpose – Current e-learning platforms are based on relational database management systems (RDBMS) and are well suited for handling structured data. However, it is expected from e-learning solutions to efficiently handle unstructured data as well. The purpose of this paper is to show an alternative to current solutions for unstructured data management. Design/methodology/approach – Current repository-based solution for file management was compared to MongoDB architecture according to their functionalities and characteristics. This included several categories: data integrity, hardware acquisition, processing files, availability, handling concurrent users, partition tolerance, disaster recovery, backup policies and scalability. Findings – This paper shows that it is possible to improve e-learning platform capabilities by implementing a hybrid database architecture that incorporates RDBMS for handling structured data and MongoDB database system for handling unstructured data. Research limitations/implications – The study shows an acceptable adoption of MongoDB inside a service-oriented architecture (SOA) for enhancing e-learning solutions. Practical implications – This research enables an efficient file handling not only for e-learning systems, but also for any system where file handling is needed. Originality/value – It is expected that future single/joint e-learning initiatives will need to manage huge amount of files and they will require effective file handling solution. The new architecture solution for file handling is offered in this paper: it is different from current solutions because it is less expensive, more efficient, more flexible and requires less administrative and development effort for building and maintaining.

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