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    Evaluating Mobile E-Learning Systems Acceptance: An Integrated Model

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    Previous studies have confirmed that managers need to develop influencing strategies to encourage employees to accept mobile information systems. Despite the recognition in past research that external variables can influence employee’s perceptions, the explanation of how their approval of the framework is affected by these external variables’ pathways or procedures remains limited. Participants were selected from Malaysian institutions that have previously rolled out mobile e-learning technologies into their operations. Empirical findings disclose that source credibility is positively associated with playfulness, perceived ease of use, and perceived usefulness. Similarly, organizational support and task equivocality are significantly related to perceived ease of use and perceived usefulness. Additionally, perceived ease of use positively affects playfulness, perceived usefulness, and employee attitude. Finally, an employee’s attitude is positively and significantly related to behavioral intentions (BI). The findings of this study provide insight for firms considering implementing a mobile information system at all levels of their institutions. Furthermore, it offers employees valuable information about the system, its value, benefits, and advantages

    Multi-Access Techniques Comparison for Remote Lab System

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    Remote lab systems are one of the essential requirements for an increased academic productivity in the modern digital world. These systems support and facilitate effective migration from face-to-face classroom education to online education. Digital technology applications and processes are required to easily build a remote lab system. With the availability of multiple access techniques, users can comfortably share laboratory equipment among themselves. The sharing of resources using the remote lab system is highly required for a smooth deployment and implementation of online education. This paper therefore proposed and tested some techniques that combine Code Division Multiple Access (CDMA) and Orthogonal Frequency Division Multiplexing (OFDM) in remote lab systems. The tested techniques are Multi-Carrier Direct Sequence CDMA (MC-DS-CDMA), Multi-Tone CDMA (MT-CDMA), Multi-Carrier CDMA (MC-CDMA), and Spread Spectrum Multi-Carrier Multiple Access (SS-MC-MA). The first step proposed in this work had to do with the setting of the comparison criteria. At the second step, the solutions cited previously in the real equipment was tested and the best option that met the criteria was selected for the eLab system since the performance technique varies with the laboratory equipment characteristic. The four techniques that were tested demonstrated high performance in telecommunications and online laboratory systems. The implementation of these techniques will benefit universities in several ways, which include reduction of remote lab cost and optimization of sharing of online resources among users. This will further provide students with conducive learning environment by addressing the challenges of reservation and time slot limit. It is therefore recommended that MC-CDMA should be integrated into remote lab system

    Design and Fabrication of a Smart Monitoring System for Liquefied Petroleum Gas-Operated Cars Based on Global System Mobile

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    In this paper, a low-cost smart system is designed and fabricated to monitor gas leakage in LPG-based cars. The implemented system consists of three gas sensors installed in the joints of the gas pipes, gas cylinders, and injectors for the purpose of gas leak monitoring. In addition, the LM 35 temperature sensor is situated over the gas cylinder to monitor its temperature. The implemented system can provide three types of alarm: the first type sends a text message to the car owner’s phone and emits an audible alarm signal. The message reaches the service center also. The second type sends messages via Bluetooth to the user’s phone or to the smart screen on the vehicle’s dashboard, with an alert that the engine must be turned off (emergency case). The last warning sends an overheating alarm signal, utilizing a temperature sensor when the temperature of the gas cylinder exceeds 50°C to provide protection and prevent a possible explosion. In practice, it was found that gas sensors should be placed less than 5 cm from the monitored site, and the best performance at work was under 55°C. It was also found that the best performance of the GSM unit is under 55°C

    Enhancement of the Fifth Generation of Wireless Communication by Using a Search Optimization Algorithm

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    The fifth generation of cellular networks (5G) is seeing a rapid expansion, and energy efficiency (EE) is a hot topic of discussion. It has been found that both EE and maximum spectral efficiency (SE) are desired. They are conflicting objectives, meaning that maximizing one will decrease the other. To tackle this issue, strategies for spectrum and energy optimization have been proposed, as well as green communication plans that aim to minimize the tradeoff between SE and EE. Research has been conducted on EE-oriented resource allocations to reduce energy usage while ensuring high-quality results. To do this, the Crow Search Optimization Algorithm (CSA) has been used. Simulation results have demonstrated that this proposed method is effective in finding the most suitable solution

    A New Learning Resource Retrieval Method Based on Multi-knowledge Association Mining

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    Ever since the human society has entered the era of big data, the quantity and type of digital learning resources on the Internet are increasing exponentially, and the requirement of students for learning resource retrieval is on the rise. However, the existing methods of learning resource retrieval generally overlook the overall knowledge systems that the students have already possessed, so it’s impossible for them to predict the students’ learning path or perform deviation adjustment. In view of these issues, this paper aims to study a new learning resource retrieval method based on multi-knowledge association mining. At first, the paper introduces the application of the Knowledge Graph Embedding (KGE) technology in learning resource retrieval, proposes the problem of learning resource retrieval, and points out the goal of learning resource retrieval. Then, a breadth-first soft-matching search algorithm is introduced to attain the multiple association paths between students and learning resources, and a retrieval module is constructed based on association path to further learn the association paths between students and learning resources within the framework of feature learning, and to predict the probability of interactions between students and learning resources. At last, this paper evaluates the association paths and uses experimental results to verify the validity of the proposed learning resource retrieval method

    Online Learning Engagement Factors of Undergraduate Students’ Learning Outcomes: Effects on Learning Satisfaction and Performance

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    This study aimed to explore the factors influencing the learning experience, using the community of inquiry (CoI) framework, that contribute to students’ satisfaction with online learning and academic performance during the pandemic. Data were collected from 609 undergraduate students at four private universities in Malaysia through an online questionnaire. The questionnaire was derived from the community inquiry survey and the satisfaction with the online learning questionnaire. The empirical results indicated that the primary factors influencing students’ satisfaction with online learning were cognitive presence, social presence, and teaching presence, in that order of importance. The model was further tested with specific measures of online learning satisfaction, including online course interaction, instruction, course management, instructor quality, and satisfaction with the technology used in the course. Factor reduction analysis groups satisfaction into three categories: “interaction, instruction, and course management” were combined into one category, which includes the course instructor and the technology. Stepwise correlation analysis indicated that all the CoI areas had a significant influence on the satisfaction of all three groups, except for the impact of social presence on the satisfaction of online instructors. Among the predictors, cognitive presence consistently played a significant role in all aspects of satisfaction and performance

    Factors Affecting Youtube Acceptance For Student Learning Needs

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    This study was conducted to demonstrate the factors that influence Vietnamese students’ acceptance of YouTube for educational purposes. Qualitative and quantitative research methods are combined to test the research hypotheses. Research data was collected using quota sampling, with a sample size of 306 students studying at universities in Vietnam. Structural equation modeling (SEM) helps demonstrate that five factors positively affect the intention to use YouTube for student learning needs. These factors include performance expectancy, effort expectancy, hedonic motivation, social influence, and flexibility. Furthermore, research has demonstrated the positive impact of intentional use on the behavioral usage of YouTube for the educational requirements of Vietnamese students. The study provides a valuable reference for educational administrators and researchers

    Exploring iSpring Suite for Android-Based Interactive Instructional Media in Electrical Lighting Installation Subject

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    In today’s digital era, interactive learning media is the right solution to improve the quality of effective and efficient learning. An active engagement between students and learning media using iSpring Suite can enhance student understanding and enthusiasm and motivate students in teaching and learning. This research aims to create Android-based interactive media using iSpring Suite for electric lighting installation learning materials. This research uses the Research and Development (R&D) method with a 4-D development model. This research consists of several stages: defining, designing, developing, and disseminating, and was conducted using validation sheet instruments. The results of this study indicated that the learning media experts confirmed that it was 93.8% valid. At the same time, the materials experts confirmed that it was 90.8% valid. Based on the validity percentage, Android-based interactive learning media using iSpring Suite is highly recommended for electric lighting installations subject. It has been well-tested and effectively applied as an Android-based interactive learning medium

    Improving Environmental Sustainability: A Geolocation-Based Mobile Application to Optimize the Recycling Process

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    Environmental pollution caused by human activities is a global concern, and recycling is an effective strategy to reduce waste and minimize its negative impact on the environment, as these pollutants can have detrimental impact on ecosystems, human health, and the quality of life in general. Recycling avoids the accumulation of waste in landfills, which can contaminate soil, water, and air as well as reducing the production of new products. The objective of this work is to implement a mobile application to improve waste management by recycling companies. The Mobile-D methodology was used for the development of the project because it focuses on optimizing the efficiency and performance of mobile applications since it allows working in 5 phases which are: Exploration, Initialization, Production, Stabilization and Testing. In the first indicator (KPI-1), an improvement in customer retention was observed, with an increase of 114.29% in positive responses in the post-test. In the second indicator (KPI-2), there was a 39.92% decrease in response time, indicating a faster response in the collection service. In the third indicator (KPI-3), a significant increase of 86.86% in the volume of waste for recycling was observed. The results showed improvements in all indicators, indicating a positive impact of the implementation of the mobile application on waste management by the companies in the sector

    How Academic Self-Efficacy Influences Online Learning Engagement: The Mediating Role of Boredom

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    Academic self-efficacy and boredom were identified as key predictors of learning engagement in online learning. However, there has been little research designed to examine the mediating role of boredom in the relationship between academic self-efficacy and online learning engagement. To address this gap in knowledge, the present study utilizes social cognitive theory, control-value theory, and the self-system process model to examine the following: (1) the impact of academic self-efficacy on three sub-dimensions of learning engagement in online learning; and (2) whether four sub-dimensions of boredom mediate the relationships between academic self-efficacy and the three sub-dimensions of learning engagement in online learning. Data were collected from 528 university students (Mage = 19.77, SDage = 1.24) who voluntarily completed questionnaires assessing academic self-efficacy, boredom, and learning engagement. The results of the structural equation modeling indicated the following findings: (1) academic self-efficacy can predict online learning engagement; (2) affective boredom mediates the relationship between academic self-efficacy and behavioral and cognitive engagement; (3) cognitive boredom mediates the relationship between academic self-efficacy and cognitive engagement; (4) motivational boredom mediates the relationship between academic self-efficacy and behavioral and emotional engagement; and (5) physiological boredom mediates the relationship between academic self-efficacy and behavioral, emotional, and cognitive engagement. Finally, this study supports the notion that academic self-efficacy can influence learning engagement by addressing boredom in online learning. It also offers significant theoretical and practical implications for promoting students’ release from boredom and enhancing their engagement in online education

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