Online-Journals.org (International Association of Online Engineering)
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Systematic Literature Review for Smart Learning In Programming Courses
No full textAdvancements in technology are currently expediting the learning process for students, prompting an investigation into the integration of technology into student education. This study explores the impact of technological evolution on education. E-learning, a method of education that delivers information to students through modern communication platforms such as computers, networks, and multimedia audio components, is being examined. Whether utilized remotely or in traditional classroom settings, this revolution has made the world increasingly dependent on electronic screens in an era marked by the convergence of media technologies, information, culture, and technology. This paper outlines the development of an e-learning system customized for mobile devices, aimed at improving learning within the university environment. With mobile phones now ubiquitous among students, e-learning has become a potent tool for advancing educational objectives. Furthermore, e-learning aids in elevating student proficiency levels. The research conducted involved implementing and evaluating an application, which produced satisfactory results. As this application becomes integrated into university curricula to support learning, it is anticipated to substantially enhance students’ learning processes and performance, as evidenced by survey results following its implementation
Mobile/VR/Robotics/IoT-Based Chatbots and Intelligent Personal Assistants for Social Inclusion
Get PDFChatbots are dialogue systems that utilize computational linguistics (CL), including automatic speech recognition (ASR) and natural language processing (NLP). Artificially intelligent conversational agents combine personalization, interoperability, and scalability with the aim of promoting safe information monitoring, management, and retrieval. AI chatbots offer user-friendly engagement for innovative e-learning, care assistance, and multilingual digital content creation, promoting inclusiveness and AI-enhanced communication. They are a breakthrough for future societies and economies as they can offer cost-effective, tailor-made, and instant exchange of knowledge and skills, including on-site assistance, health monitoring, and e-consultation. AI chatbots are constantly improving to the benefit of their users. Their economic and social impact is expected to rise as individuals, especially vulnerable populations, are trained to use them for lifelong learning, decision-making, and problem-solving
Personalization of E-Learning: Future Trends, Opportunities, and Challenges
Get PDFElectronic learning (e-learning) has become one of the most influential trends in providing enhanced and easily accessible learning to users. However, in contrast to traditional e-learning systems that offer uniform content to all learners, personalized learning systems tailor educational materials and assessments to individual learners, ensuring a customized learning experience. Personalizing e-learning through artificial intelligence (AI) is beneficial in today’s diverse environment, where beginners can tailor the learning experience to suit their preferences and requirements. This paper focuses on the personalization of e-learning, exploring future trends, opportunities, and challenges through an in-depth survey of recent literature on the personalization of e-learning technologies such as extended reality (XR), virtual reality (VR), augmented reality (AR), and mixed reality (MR). Findings identify and propose that such tools should be included in curricula that support e-learning through personalized, adaptive, and delivery models
Collaborative Digital Learning as a Virtual Learning Environment on Mathematics
Get PDFCollaborative digital learning (CDL) has been a trend since the 4.0 era and has grown in popularity in the aftermath of the COVID-19 outbreak. This study is a literature review that aims to examine the existing literature on CDL and virtual learning environments (VLEs), with a specific focus on their application in mathematics classes. The data was collected by compiling all published articles from the past five years and then analyzing the information to draw conclusions. Content analysis approaches were utilized for descriptive and thematic data analysis. The findings of this study indicate that the use of computer-based learning (CBL) as a VLE has been successfully adopted and is quite useful in remote learning, particularly during the COVID-19 pandemic. Based on these findings, it is recommended to develop a CBL VLE to assess its impact on mathematics education in schools, especially on metacognitive abilities in problem-solving
Virtual Reality Laboratory Laws of Inheritance Enhancing Students' Technological Literacy
Get PDFThe lack of introduction and habituation to using interactive media in learning can cause students to have low technological literacy. Virtual reality technology can help us learn the law of inheritance of traits. This research aims to develop learning media using virtual reality technology that is valid, practical, and effective in improving students’ technological literacy. The stages we carried out refer to the development model of William W. Lee and Diana L. Owens. Media feasibility is based on the results of material validation, media, small group trials, and media implementation to high school students. Technological literacy was measured using a questionnaire and observation sheet. The subjects consisted of 127 students taking the material on the law of Inheritance of Traits. The results of the study obtained a material validation percentage of 100% (very valid), media validation of 89% (valid), and small group trials of 90% (very practical). The results of the virtual reality laboratory effectiveness test show the significance value of the ANCOVA test of 0.000 is smaller than α (α = 0.05). These results indicate that the developed media are valid, practical, and effective for improving students’ technological literacy in learning the law of Inheritance of Traits
The Impact of Augmented Reality-Based Mathematics Learning Games on Students’ Critical Thinking Skills
Get PDFThe significance of critical thinking skills among students lies in their ability to actively assess, evaluate, and respond thoughtfully to information. This study investigates the impact of a game-based learning (GBL) model that utilizes augmented reality (AR) in mathematics learning games on the CT skills of eighth-grade junior high school students. The study specifically focuses on polyhedrons in mathematics. A quasi-experimental design was utilized to accomplish the study objectives. This study involved 77 students, divided into an experimental group of 40 students and a control group of 37 students. The research instrument used was a valid and reliable test of the students’ CT skills. The results showed that the GBL model with AR-based games significantly improved students’ CT skills. The students who received this approach showed more significant improvements in CT compared to traditional teaching methods. These results highlight the potential benefits of integrating AR technology into education to enhance students’ CT skills. This encourages educators and curriculum developers to view AR as an effective alternative for supporting students’ CT. The outcomes of this research indicate a significant advantage in using AR as a tool to promote CT among students. It could create more engaging and interactive learning environments
Development of Android-Based Video Series on Climate Change Topic to Empower Students’ Environmental Literacy
Get PDFLearning in the 21st century requires students to have problem-solving and critical thinking skills. In problem-solving related to the environment, students need a strong foundation in environmental literacy. The environmental literacy of eighth-grade students still falls relatively low within the unfavorable category. It was found that several students still needed to increase their awareness of protecting the environment. Students still need assistance in learning about climate change because there are several abstract concepts to grasp. The characteristics of Generation Z include a low attention span and a dislike for lengthy explanations. The purposes of this study were to (1) determine the characteristics of Generation Z, (2) assess the feasibility of utilizing Android-based video series as a learning medium, and (3) analyze the response of Generation Z to such educational content. This research and development method refers to the ADDIE model, which includes the stages of analysis, design, development, implementation, and evaluation. The outcome of this research and development is a video series focusing on climate change, presented in the form of an android. Observation, interviews, and questionnaires are data collection techniques. Learning media validation was conducted by two media experts: a subject matter expert and a language expert. The validity test results were calculated using Aiken’s V index formula. The results obtained for the three experts were 0.92, 0.93, and 0.90. The results of the analysis of teacher and student response tests form the expected characteristics of the video series, receiving very positive feedback
Analysis of ANN Routing Method on Integrated IOT with WSN
Get PDFInternet of Things (IoT) in recent times offers a greater amount of flexible design during the deployment of it in the form of network. The interfacing of IoT with a wireless sensor network (WSN) requires an optimal solution to preserve the consumption of energy while the data has been transmitted via nodes. In this paper, we develop machine learning (ML)-assisted routing to route the data packets of IoT sensors from the real-time environment over WSN. In this study, we use three different planes for optimal routing of packets from the source node to the destination node. The source node is the IoT sensors that involve data collection, and the intermediate nodes are the WSN sensor nodes that route the packets. Optimal routing decisions based on the pre-trained data in an artificial neural network (ANN) stabilize the routing of data packets without congestion. The simulation is conducted to test the efficacy of the ANN routing in the integrated network, and the results show that the ANN-based routing achieves higher energy efficiency and throughput than other models
An Analysis of Student's Academic Achievement in Genetic Algorithms Based on Mobile Learning Applications
Get PDFSeveral scholars have focused on this area due to the significance of mobile technology in the educational process, resulting in a substantial body of scholarly work. The primary objective of this study is to investigate the impact of mobile learning on students’ academic performance. The meta-analysis approach was utilized in this research. The available research was examined using several databases to find the relevant studies that were within the scope of the investigation. The study’s inclusion criteria and components were implemented following a literature review. This research proposes a mobile education system approach based on genetic algorithms to address the issues with the current system. The analysis findings indicate that most of them stay at around 10%. The salary only slightly increases when numerous individuals teach, but it also falls within a regular, appropriate range that can accommodate more complex tasks. According to the factor analysis findings, the influence of mobile educational devices on students’ learning performance varied depending on the course and subject. However, it remained constant regardless of the students’ education level and implementation duration. Apart from the previously mentioned research findings, this article also includes a descriptive analysis of the studies that were part of the meta-analysis
Formative Assessment of Student’s Academic Achievements in Mobile Learning Environments
Get PDFThis study investigates the formative assessment of student academic achievements within the context of mobile learning (m-learning) environments. As mobile technologies continue to reshape educational practices, understanding how to effectively implement formative assessment strategies in these dynamic digital spaces is essential. The study explores various approaches and methodologies for conducting formative assessments tailored specifically for m-learning environments. These include the integration of mobile applications to deliver interactive quizzes, exercises, and simulations that engage learners actively and provide immediate feedback. Additionally, the research examines the use of adaptive formative assessments, which utilize mobile technology to personalize assessment content and pacing according to individual learner needs and progress. The study also examines the role of m-learning analytics in formative assessment, allowing educators to gather real-time data on student interactions and performance to guide instructional decisions. Furthermore, the study explores innovative practices such as gamified formative assessments, which incorporate elements like badges or leaderboards to enhance motivation and engagement among learners. By synthesizing existing literature and empirical studies, this study contributes to advancing the understanding of effective formative assessment practices in m-learning environments. It offers valuable insights for educators, curriculum designers, and policymakers who aim to enhance student learning and achievement in digital-age education