Online-Journals.org (International Association of Online Engineering)
Not a member yet
9805 research outputs found
Sort by
Machine Learning Algorithms for Attitude Prediction From Arabic Text: Detecting Student Attitude Towards Online Learning
Get PDFDue to its flexibility, accessibility and the increasing importance of digital literacy, online learning has gained priority in the last few years. However, several challenges have led students to resist it. Predicting students’ attitudes towards online learning could assist educators and educational institutions in addressing these challenges and enhancing its effectiveness. This paper presents a Learning Attitude Prediction Model (LAPM) that can detect students’ attitudes from their informal Arabic texts. To generate the desired LAPM, five machine learning algorithms and three different approaches for text representation are employed. In addition, handling stop words is another important issue when dealing with informal Arabic text. Two scenarios are commonly adopted: preserving and eliminating stop words. The best result was obtained when using a support vector machine (SVM) classifier coupled with the term frequency-inverse document frequency (TF-IDF) approach and preserving stop-words, achieving an F1-score of 85.4%. Therefore, an effective LAPM could be developed to predict students’ attitudes. Using LAPM, educators and educational institutions can monitor students’ attitudes toward online learning and provide personalized support to individual students. Consequently, an enhancement in student satisfaction and an improvement in academic achievement could be achieved
The Effectiveness of E-Learning Usage among University Students in the Kingdom of Saudi Arabia
Get PDFEducational institutions have recently embraced e-learning systems, reflecting a modern trend in education that positively impacts the learning process. However, limited studies have investigated the impact of e-learning on higher education students and teaching staff during the COVID-19 pandemic, such as their experiences, lack of information on teaching and learning, and attitudes. This study, therefore, aims to fill this gap by evaluating the effectiveness of e-learning in university education. Employing a descriptive-analytical method, the study utilized a questionnaire to collect data from a sample of 5,876 students and 272 teachers at Imam Abdulrahman Bin Faisal University in Dammam, Eastern Province, Saudi Arabia. The results indicate that student satisfaction with e-learning is neutral, whereas faculty satisfaction is high. Additionally, faculty members possess the necessary knowledge and skills for e-learning. Given the variation in previous studies’ findings, the study recommends conducting further study to enrich the theoretical literature
The Effect of Problem Based Learning Approach in Enhancing Problem Solving Skills in Chemistry Education: A Systematic Review
Get PDFChemistry is a scientific discipline that is often considered difficult because students struggle to solve contextual and open-ended problems, mainly due to a poor understanding of scientific concepts related to the problem. To fully grasp the concepts in chemistry, students must develop the ability to solve real-life problems. Problem-solving skills are applied in many aspects of life, making them crucial for the 21st century. Problem-based learning (PBL) is an effective method for improving students’ problem-solving skills. This study aims to outline how the PBL approach enhances students’ problem-solving skills, specifically in the context of chemistry education. The sixteen research articles reviewed in this paper were collected from well-known databases such as ERIC, SCOPUS, and Google Scholar. Systematic literature review (SLR) is the method used in this review. This review provides evidence that PBL can enhance problem-solving skills in chemistry education. All research articles have shown that PBL has a significantly positive effect on the problem-solving skills of students. Seven out of sixteen articles have provided insights into the design and framework of PBL implementation. The researcher recommends conducting more studies in all areas of chemistry to provide clear guidance on incorporating PBL. The researcher also recommends using mobile technologies to integrate PBL in a stimulating manner, such as by developing a mobile application to aid in the instructional process. Proper insights into the effectiveness of implementing PBL to enhance problem-solving skills in chemistry, as well as the integration of PBL into the instructional process, are necessary. This will aid teachers and lecturers in planning their lessons, which is why this systematic review is needed
Criteria for User Interface Design in Performance Evaluation and Guidelines of Medical Mobile Apps for Beginner Developers
Get PDFThis study created a performance evaluation form specifically designed to assess user interfaces in medical apps, with a focus on educational and preventive aspects. Developed in collaboration with a diverse group of usability and design experts, the form was structured around heuristic principles and rigorously refined using content accuracy evaluations and consistency index analyses. This meticulous process resulted in a comprehensive 145-question tool that successfully met rigorous evaluation standards. Emphasizing the necessity of early integration of user interface considerations in the development process, this tool is crucial for enhancing app usability and quality. It provides immense value to novice developers by addressing common design challenges such as disorganized layouts and privacy concerns, ensuring that mobile applications are not only user-friendly but also highly effective in interactive design scenarios. This approach facilitates the development of apps that are optimally designed for user engagement and functional precision in medical contexts
Danmaku-Based Automatic Analysis of Real-Time Online Learning Engagement
Get PDFIn recent years, there has been a rapid growth of online learning in higher education. Apart from professional online course platforms, many online video sharing websites have also provided online learning opportunities for college students. One of the most popular websites among college students in China is Bilibili, a Shanghai-based Chinese video sharing website known for its danmaku commenting system. This system enables users to post scrolling comments synchronized with the video timeline while the video is playing. Which attracts young students due to the lively user interaction. As a result, an increasing number of Chinese students are utilizing online courses on Bilibili as a supplementary learning resource alongside traditional classroom learning. Despite its popularity, online learning faces the challenge of students’ lack of participation more than traditional face-to-face learning does. To understand their learning involvement, we propose a novel danmaku-based automatic analysis model that extracts three dimensions of online learning engagement using the Text Mind software. This model enables us to understand the students’ learning patterns both as clusters and as individuals. Based on the model results, we present corresponding intervention strategies for different types of students based on their individual engagement characteristics
Mobile Technological Forecasting and its Relationship to Added Scientific Value from the Perspective of Faculty Members in Saudi Universities
Get PDFThe current study aims to identify the degree of academic freedom practice and its relationship to the added scientific value and mobile technological forecasting from the perspective of faculty members in Saudi universities. To achieve this goal, a random sample of 23 faculty members from King Khalid University was selected from various specializations. A questionnaire was prepared to determine the extent of academic freedom exercised, the scale of scientific value added, and the scale of technological forecasting. The mean, standard deviation, and linear regression analyses were also used to analyze the research results. The results revealed that faculty members’ practice of academic freedom was average, while scientific value added and technological forecasting were high. The results also indicated the potential to predict the exercise of academic freedom through rapid access to information, financial resources, and technological forecasting
Enhancing Educational Design Capabilities through Interactive Mobile and Adaptive Learning Platforms: An Empirical Study
Get PDFWith the continuous advancement of educational technology, interactive mobile and adaptive learning platforms are playing an increasingly important role in the field of education. This is particularly evident in the development of educational design skills among education students, as these platforms showcase their unique value. Educational design capability is a crucial skill for education students, directly related to the quality of designing and implementing future teaching activities. Traditional methods of education often fail to fully consider individual student differences, resulting in inadequate cultivation of personalized capabilities. This study aims to explore and achieve precise cultivation of educational design capabilities in education students through interactive, mobile, and adaptive learning platforms. This paper first reviews the current application of interactive mobile and adaptive learning platforms to cultivate educational design capabilities. It highlights deficiencies in existing research methods related to personalized matching and recommendation system design. To address these deficiencies, this study proposes a new set of adaptive matching methods. These methods include capability characteristic recognition based on competitive advantage thinking, the construction of individual strength models, as well as matching calculation, and decision- making scheme optimization using the projection decision method and the Hungarian method. Additionally, the study designs a learning project recommendation algorithm based on explicit ratings to enhance the accuracy and personalization of learning project recommendations. The application of these methods not only enhances the educational design capabilities of education students but also provides new theoretical support and practical guidance for the development of interactive, mobile, and adaptive learning platforms
Artificial Intelligence Technology for Interactive Mobile Devices and Its Application in 3D Visual Design
Get PDFThe use of visual rationality in planning and designing indoor 3D spaces can effectively enhance the quality of environmental art design. For the rational planning and design of 3D spaces, it is essential to assign attribute values to the rational evaluation index of 3D space planning, determine the weight vector of rational evaluation factors for indoor 3D space planning, and accomplish the visual rationality planning and design of indoor 3D spaces. 3D reconstruction is one of the primary objectives and focal points of machine vision research. The principle is to extract 3D information from the 2D image captured by the machine’s sensors in order to reconstruct a 3D scene model. The traditional method constructs the evaluation index system for indoor 3D space planning to determine the weight of the evaluation index for alternative points. However, it overlooks the weight vector of the evaluation factors, leading to low accuracy in rational planning. This paper optimizes the effect of structured light reconstruction using photometric stereo vision. Firstly, the text delves into the impact of light sources on the 3D reconstruction effect. Subsequently, a fusion algorithm combining 3D and structured light reconstruction methods is introduced, leveraging artificial intelligence (AI) technology. Experimental results show that this algorithm has a superior 3D reconstruction effect
Maximizing Learning Outcomes while Minimizing Costs: A Cost-Effective Approach to M-Learning
Get PDFIn the realm of education, the pursuit of effective learning outcomes often faces the challenge of limited resources. This paper explores the intersection of maximizing learning outcomes and minimizing costs through a cost-effective approach to mobile learning (m-learning). Recognizing the ubiquitous presence of mobile devices and their potential to revolutionize learning, this study explores strategies that leverage the capabilities of mobile technology while being mindful of budgetary constraints. By leveraging the flexibility and accessibility offered by m-learning platforms, educators can design engaging and interactive learning experiences that cater to diverse learners needs. The paper investigates various cost-effective methodologies, including utilizing open-source software, repurposing existing resources, and adopting collaborative learning environments. Furthermore, it examines the role of scalable technologies and adaptive learning algorithms in optimizing resource allocation and personalizing learning experiences. Through case studies and empirical analysis, this research illustrates how institutions and educators can achieve significant cost savings without compromising the quality of educational delivery. Ultimately, the findings highlight the transformative potential of a cost-effective approach to m-learning in enhancing learning outcomes and widening access to education
Exploring Pathways for Mobile Interaction Technologies to Foster Innovation in Entrepreneurial Education Models
Get PDFWith the rapid advancement of information technology, mobile interaction technologies have emerged as a pivotal force driving educational innovation, especially in the realm of entrepreneurial education. These technologies have not only transformed the methods of acquiring and sharing knowledge but have also facilitated interaction and collaboration among learners. This investigation aims to explore how mobile interaction technologies can foster innovation in entrepreneurial education models. The focus is specifically placed on the construction of a mobile interaction-based collaborative learning team environment model oriented towards knowledge building as well as on identifying collaborative strategies that can effectively enhance entrepreneurial learning teams based on mobile localized influence networks. It has been discovered that optimizing mobile learning environments and collaborative strategies improves the quality of interaction and learning outcomes among teams, providing new pathways for entrepreneurial education. Existing research, however, lacks a comprehensive discussion on the deep integration of mobile interaction technologies with entrepreneurial education, especially in terms of systematic studies on team collaboration and the process of knowledge construction. Through theoretical exploration and empirical analysis, this manuscript aims to bridge the research gap, providing theoretical and practical support for innovation in entrepreneurial education models. This endeavor holds significant research value and practical implications