E-learning Model Research Articles

Exploring Moroccan EFL Undergraduates’ Readiness for a Newly-Implemented Blended Learning Course in English Language Proficiency

Over the last two decades, online learning has gained global attention from education stakeholders worldwide. Given the ubiquitous feature of today’s technology-driven world, the switch from face-to-face delivery to technology-delivered instruction has become a necessity. However, the implementation of innovative e-learning models such as blended learning cannot be a success without learners’ readiness and adaptability. Therefore, it is a top priority to be aware of students’ e-learning readiness to make the teaching-learning process effective and rewarding. This study seeks to gain insights into Moroccan EFL students’ readiness for a newly implemented blended language proficiency course. Data were collected using three research questions and a 29-item questionnaire adopted from Shakeel et al. (2023). The findings reveal that Moroccan university EFL students display a moderately positive attitude towards blended learning and this is a prerequisite for a smooth implementation of blended learning.

Nursing students' knowledge of working with D/deaf and hard of hearing patients: Evaluation of a deaf awareness elearning package

AimThe aim of this study was to evaluate a newly developed Deaf awareness e-learning package with nursing students at one university in Wales, UK. BackgroundD/deaf and hard of hearing communities face a multitude of barriers when accessing and receiving healthcare leading to under diagnosis of health conditions and poorer health outcomes in general. Lack of awareness, teaching, and exposure to the D/deaf and hard of hearing populations during health care professional training programmes has been shown to contribute to this health disparity. DesignA descriptive cross-sectional design was used with two cohorts of undergraduate nursing students at one university in Wales, UK who were invited to undertake a Deaf awareness eLearning package developed with D/deaf communities in Wales. MethodsNursing student engagement and course completion were monitored, and evaluation survey questionnaires were implemented. ResultsThe Deaf awareness eLearning package evaluation showed engagement with over 400 nursing students, who scored the package an overall mark (1 to 5 stars) of 4.72 out of 5. In total, 227 nursing students completed the eLearning package and received the certificate. Students reported finding the eLearning package very interactive, easy to navigate, thought the three-hour length was about right. However, we would like to know more about factors that influence student non-engagement and dropout. ConclusionsThese findings suggest that eLearning Deaf awareness programs can be successful in increasing knowledge and confidence around communicating with D/deaf and hard of hearing patients for nursing, with potential benefits for wider rollout across wider health and care student and staff populations. Registration numberGrant number: 101010662\\737073]. Tweetable abstractD/deaf and hard of hearing patients experience barriers in healthcare so health professionals need accessible Deaf awareness training. Our eLearning model shows promise.

Innovative Approaches of E-Learning in College Education: Global Experience

Thanks to the rapid development of digital and information and communication technologies, colleges around the world are actively using new models of e-learning. The purpose of this study was to analyze modern e-learning tools used in colleges in different countries. The PRISMA approach was used for this study. Based on the previously formed 7 criteria related to the content, methodology, and scientific novelty of the study, 50 items of current literature were selected for analysis. The date range was from 2012 to 2023. The results demonstrate the importance of using electronic technologies in modern colleges. They develop the formation of not only theoretical but also practical skills. For example, the use of tools such as virtual augmented reality, or simulation technologies contribute to the development of practical skills in students. The proposed results have shown that micro-education, social education and gamification of education are integral elements of modern educational practice based on innovations. The conclusions summarize that the most common electronic technologies are remote platforms, mobile applications, and interactive technologies. For practical specialties less popular, but important are simulation technologies and virtual reality. In addition, the college's e-learning platform makes use of augmented reality, blockchain technology and analytical tools. All of these technologies support the growth of e-learning at the college level.

Meningkatkan Hasil Belajar Siswa Kelas X SMK Materi Eksponen Menggunakan Model E-Learning Dengan Aplikasi Googlemeet

The background of this research is the low mathematics learning outcomes of class X TPm students due to the fact that when learning students are less active in participating in mathematics learning. The learning model that can be applied to overcome this problem is the E-Learning model. The purpose of this research is to increase the activity and learning outcomes of class X TPm students. This research method uses observation and tests. The instruments used were student activity observation sheets and student learning outcomes tests. The research was conducted by class X TPm SMK Kusuma Negara Mojoagung with a total of 15 male students. The results of observing student activities by applying the E-Learning model cycle I reached 74.44%, the criteria were moderate and increased in cycle II by 78.3%, the criteria were High. Classical completeness of student learning outcomes in cycle I, 73.33% increased in cycle II to 80%. So, this research shows that there is an increase in the activity and results of learning mathematics for class students at SMK Kusuma Negara Mojoagung by applying the E-Learning model

A Comparative Tale of Peer-to-Peer, Client-to-Peer and Hybrid Networks in Federated Social Networking Sites in Educational Institutions

Due to increase in use of social networking sites(SNSs) in educational institutions, it has become common for institutions to adopt SNSs in academic institutions. Federated social networking sites(FSNSs) are powerful decentralisation platforms for educational activities. Qualitative scientific thorough review of relevant literature from multiple databases and qualitative survey from experts for Hybrid FSNS validation purposes. Peer-to-peer, client-to-server and hybrid networks present an excellent way of decentralising SNSs, however institution may need to scrutinise underlying functional and non-functional capabilities of each network architecture in order to come up with best platform for their institutions. Contemporary education need eLearning models that addresses critical needs for more effective and scalable educational solutions that can leverage benefits of SNSs while overcoming their limitations. Stakeholders should be able to make an informed decision as to which network to employ in their FSNSs, so that they can benefit from platforms’ specific educational opportunities.

Hybrid E-Learning Model and Applications

Hybrid E-Learning Model and Applications

Student engagement and academic achievement: the effect of gamification on case and project-based online learning

Education is a pivotal pillar in modern society, and technology has brought about major changes in how students learn. Online learning is becoming an increasingly popular form of education, especially since the COVID-19 pandemic broke out. However, the challenge of maintaining student engagement and motivation in online learning environments remains a concern for many educators. This is where the concept of gamification erupts as an innovative solution to this problem. This study aimed to examine the effect of case- and project-based gamification models on student engagement and academic achievement in online learning in tertiary institutions. Quasi-experimental post-test only non-equivalent control group design was chosen as the method of this research. The subjects of this study were 117 students from Universitas Pendidikan Ganesha. The instrument used to measure student engagement was a questionnaire developed by researchers with reference to the online student engagement (OSE) indicator; meanwhile, an objective test was to assess student academic achievement. The data were analyzed using a one-way multivariate analysis of variance (MANOVA) technique. The study results show significant differences in student engagement and academic achievement between groups of students taught using case and project-based gamification models and direct e-learning models. Case and project-based gamification models used in online learning were effective in increasing student engagement and student academic achievement.

Operationalizing a Weighted Performance Scoring Model for Sustainable e-Learning in Medical Education: Insights from Expert Judgement

Validation is needed for any newly developed model or framework because it requires several real-life applications. The investment made into e-learning in medical education is daunting, as is the expectation for a positive return on investment. The medical education domain requires data-wise implementation of e-learning as the debate continues about the fitness of e-learning in medical education. The domain seldom employs frameworks or models to evaluate students' performance in e-learning contexts. However, when utilized, the Kirkpatrick evaluation model is a common choice. This model has faced significant criticism for its failure to incorporate constructs that assess technology and its influence on learning. This paper aims to assess the efficiency of a model developed to determine the effectiveness of e-learning in medical education, specifically targeting student performance. The model was validated through Delphi-based Expert Judgement Techniques (EJT), and Cronbach's alpha was used to determine the reliability of the proposed model. Simple Correspondence Analysis (SCA) was used to measure if stability is reached among experts. Fourteen experts, professors, senior lecturers, and researchers with an average of 12 years of experience in designing and evaluating students' performance in e-learning in medical education participated in the evaluation of the model based on two rounds of questionnaires developed to operationalize the constructs of the model. During the first round, the model had 64 % agreement from all experts; however, 100% agreement was achieved after the second round, with all statements achieving an average of 52% strong agreement and 48% agreement from all 14 experts; the evaluation dimension had the most substantial agreements, next to the design dimension. The results suggest that the model is valid and may be applied as Key Performance Metrics when designing and evaluating e-learning courses in medical education.

Limitations of Disembodied Computer-Generated Voice to Convey Emotion in Multimedia Lessons

The goal of this study was to determine whether learning processes and outcomes are affected by the emotional tone of the computer-generated voice in a narrated slideshow. In a between-subjects design, participants viewed a narrated slideshow on lightning formation involving a computer-generated female (Experiment 1) or male voice (Experiment 2) that displayed happy, content, angry, or sad emotion. On subsequent surveys and post-tests, students could recognize positive or negative emotions conveyed by the female voice but not the male voice. The emotional tone of the instructor’s voices had minimal impact on students’ ratings of felt emotion during learning, ratings of social connection with the instructor, or scores on retention and transfer tests of learning outcome. The findings highlight the limitations of computer-generated voices to convey emotions that trigger affective, social, and cognitive processes when an onscreen instructor is absent, thereby suggesting a boundary condition for the cognitive-affective model of e-learning.

Immersive E-learning mode application in Chinese language teaching system based on big data recommendation algorithm

With the rapid development of information technology, E-Learning has become an innovative teaching method. However, in the field of Chinese teaching, how to provide effective learning resources and recommendation algorithms in E-Learning mode is still a challenge. This study aims to improve the effectiveness of Chinese teaching system and students’ learning outcomes through an immersive E-Learning model based on big data interest recommendation algorithm. This paper adopts an immersive E-Learning model based on big data interest recommendation algorithm, and constructs a Chinese teaching system. The web crawler is used to fully collect the experimental data and collate it in a targeted manner, and the required data is screened out by using a more efficient separation method. Adding big data recommendation algorithm to the system of this paper can not only record and analyze historical behaviors of users, but also recommend data information according to users’ interests, so that users can clarify their real information needs. By testing the system’s professional ability and recording the experimental data, this paper finds that the overall performance of this Chinese language teaching system is very good, and can achieve the original expected design purpose. In addition, the system largely solves the problem that the traditional system based on data recommendation algorithm is difficult to carry out effective recommendation smoothly when the total amount of data is too large.

Towards a Software Quality Factor Assessment Model for Learning Management Systems (LMS)

Objectives: Software quality models are well-accepted ways to control and guide software quality to enhance user effectiveness and work productivity. However, an adequate understanding of software quality assessment factors that promote the effective operation of Learning Management Systems (LMS) among users in educational contexts needs to be adequate. This study aimed to identify from the literature quality factors, sub-quality factors of the quality factors and their meanings from mainly used software quality factor models, explain Ehlers's Model of subjective quality requirements of e-learning systems and match the quality factors with Ehlers's model and develop a software quality model for e-learning. Methods: Drawing on software quality literature and Ehlers' Quality Model for educational technologies, we propose an LMS Software Quality Factor Model for assessing LMS effectiveness among users in educational contexts. Findings: The proposed model highlights relevant user-centred parameters (predominantly, "Reliability", "Efficiency", and "Flexibility/Evolvability") that ensure LMS quality and effectiveness among users. Novelty : This research is novel from the point of view of determining quality factors for LMS using an existing e-learning model, Ehlers’s user-based e-learning requirement model in this particular instant. Keywords: Software quality factors, LMS, Ehlers's Model, ISO 9126, Educational technologies

The impact of COVID-19 on medical education and training.

The COVID-19 pandemic social isolation policies have accelerated the shift to online teaching for medical students and doctors in training worldwide. Online learning is cost-effective, available, and flexible. However, it can be challenging due to the technical system errors, which results in the disruption of the learning process and social isolation yielding to less satisfaction among students and teachers. The above can have negative consequences on the mental health of medical students and trainees, which is an under-researched area. United Kingdom based medical students and doctors in speciality training encountered disruptions to medical education and training due to the pandemic. Medical school and deaneries had to endorse adjustments to teaching and training delivery methods, examination, and assessments to ensure the continued progression of learning and training. A successful e-learning model depends on motivated and well-prepared medical students and teachers and structured educational materials in supported learning environment and institutions. A blended model is likely to be utilised by medical institutions for medical training in the future, which will need to be researched.

Feature Evaluation of Emerging And E-Learning System

With the development of artificial intelligence, adaptive e-learning has gained more and more attention. As every approach to e-learning becomes less appealing and the quality of as the popularity of online courses grows, they switch to more customized, flexible learning to work with students and achieve better learning results. The focus of the schools is on organization, awareness, and examination. pupils and achieve better learning results The focus of the schools is Methods for bringing creativity into the curriculum and vision E-learning worries are widespread. It is an exam issue for each and every one of us. The goal of this study's analysis is to identify potential outcomes from assessing e-learning models with artificial intelligence (AI) methodologies like supervised, semi-supervised, and unsupervised reinforcement learning advancements.

Forms and Field Trials of a Digital Evaluation Tool: Integrating F-S Model, WP Method, and Balinese Local Wisdom for Effective E-Learning

Forms and Field Trials of a Digital Evaluation Tool: Integrating F-S Model, WP Method, and Balinese Local Wisdom for Effective E-Learning

Virtual reality with e-learning model in business management and knowledge complex environment for gaming analysis

Nearly real-world experiences in a variety of industries may be had with virtual reality (VR) technology. Virtual reality (VR) settings are widely used, and as a result, a large quantity of data is being collected from them. The data-driven development paradigm must be advanced and analytical procedures must be created as the amount of data increases. There are several trends and possibilities that have emerged from integration of artificial intelligence (AI) as well as machine learning (ML) in business intelligence. Modern technology has completely changed how companies gather data, draw conclusions, decide. In order to analyse complex environments, this study uses gamification and virtual reality in business intelligence modelling for e-learning. Here, virtual reality-based e-learning is modelled for business intelligence, and gamification using reinforcement alexnet Q-kernel component neural networks is used to analyse the network’s complexity. Prediction accuracy, AUC, average precision, sensitivity, quadratic normalised square error are metrics used in experimental study. The evaluation’s findings demonstrate the usefulness of our solution for classifying and forecasting pay levels in the business sector, which in turn helps business analytics in intricate AI settings.

A Cross-Sectional and Longitudinal Investigation of Hopelessness Among University Students in the Aftermath of the COVID-19 Pandemic

Under the shadow of the COVID-19 pandemic, it is of vital importance to explore its impact on the psychological wellbeing of the students in higher education. Accordingly, this research investigated hopelessness among students at a state university in Turkey throughout the pandemic. The research was conducted in two separate studies, one cross-sectional and the other longitudinal. Study I examined students’ hopelessness level in relation to gender, job or income loss, social media use, academic unit, and grade. Study II compared students’ hopelessness level during the distance and hybrid education periods. The data were collected online through Personal Information Form and Beck Hopelessness Scale in both studies. The findings of Study I indicated significantly higher hopelessness scores in females, students who experienced job or income loss, and seniors at faculties. It was also found that the level of hopelessness increased as the duration of social media use rose. In addition, Study II revealed that students’ hopelessness scores significantly decreased during the hybrid education in contrast to the distance education. Based on these findings, we suggest that during distance education in times of crisis, psychological counseling and career guidance interventions should be planned and coordinated according to the characteristics of risk groups, and e-learning models offering the highest social interaction should be preferred.

Revolutionizing Foreign Language Pedagogy in Islamic Boarding Schools Through Online Platforms: A Post-Pandemic Perspective

This study investigates the shift to online learning of foreign languages, specifically Arabic and English, in Islamic Boarding Schools post-pandemic, utilizing the Taallum Website as an e-learning model. A quasi-experimental time-series design was used to examine the changing role of foreign language teachers, comparing situations before and after the introduction of this e-learning method. Conducted from August 2021 to December 2022, the research involved both students and teachers. Surveys assessed their views on instructional techniques. Results highlighted a significant increase in teacher engagement with the e-learning model, as shown by a Paired Samples T-Test, which revealed a significant value of 0.000 and a t-count of 10.321, exceeding the t-table value of 2.365. The study demonstrates the Taallum Website application's efficacy in enhancing teacher involvement in foreign language education within Islamic Boarding Schools in the post-pandemic era, marking a departure from traditional e-module learning.

Innovative Solutions in Distance Education: E-Learning Models

Innovative Solutions in Distance Education: E-Learning Models

Designing an E-Learning Model for Health Tourism Marketing Case Study: Educational Healthcare Centers of Islamic Azad University, Tehran

Objective: The present research aims to design an e-learning model for health tourism marketing in the educational healthcare centers of the Islamic Azad University in Tehran. Methodology: The research method is applied in terms of its objective and qualitative regarding its data. The population included management experts with specialized doctoral degrees, heads of educational healthcare centers of the Islamic Azad University, and their liaisons. The sampling was purposeful and snowball, selecting 14 experts until theoretical saturation was achieved. Findings: The findings indicate eight dimensions along with 47 components for the proposed model. The identified dimensions (components) include: Strategies (national and macro, regional and international), Infrastructure (scientific interactions, cultural interactions, political interactions, economic interactions, legal and ethical, research and education, management, organization, technology, support, monitoring, and coordination), Contextual Factors (political ideology, cultural ideology, economic ideology, security, and welfare facilities), Resources (financial resources, human resources, content resources, and natural tourism resources of the country), Education (clinical training, continuous education, health education, organizational education), Processes (needs assessment, design, implementation, evaluation, feedback, and corrective program), Communication Literacy Level (communication technology, intercultural communication, advertising, organizational communication, public relations, international relations, and tourist rights), and Ideation (being a pioneer, opportunity seeking, risk-taking, leveraging resources, customer orientation, value creation, and innovation). Conclusion: These results and the presented model can significantly assist in creating e-learning for health tourism marketing by the educational healthcare centers of the Islamic Azad University in Tehran. Therefore, the use of these results is recommended to the stakeholders and beneficiaries in this field.

E-Learning Model to Improve Students' Performance

E-Learning Model to Improve Students' Performance