Pub Date : 2024-07-12DOI: 10.3991/ijim.v18i13.47565
A. Samala, Natalie-Jane Howard, Santiago Criollo-C, Ridho Dedy Arief Budiman, Muhammad Hakiki, Yayuk Hidayah
This study aimed to develop an interactive mobile application based on augmented reality (IMoART), which could contribute to reshaping the learning paradigm in computer hardware courses. The IMoART application employs a marker-based tracking method. Accessible on smartphones, it integrates into the learning process, is attractive to students, and fosters engagement as users can visualize hardware through 3D objects. The application serves as an alternative and supplementary learning tool to make the educational experience more enjoyable while potentially reducing school expenditures. The results of the development process, which involved using the 4D model (define, design, develop, and disseminate), showed that the IMoART application is effective, with notable feasibility scores of 3.68 for the media aspect and 3.81 for the material aspect, as evaluated by media and subject matter experts. User responses from teachers and students further support the positive outcomes of the IMoART application, achieving a robust practicality score of 84.68%. Noteworthy aspects such as ease of navigation, clarity, aesthetic features, and instructional quality demonstrate high practicality. This study contributes significantly to the literature by presenting an evaluated model that offers an enjoyable and efficient learning experience using 3D objects, videos, images, simulations, and interactive animations in the context of computer hardware learning.
{"title":"What Does an IMoART Application Look Like? IMoART—An Interactive Mobile Augmented Reality Application for Support Learning Experiences in Computer Hardware","authors":"A. Samala, Natalie-Jane Howard, Santiago Criollo-C, Ridho Dedy Arief Budiman, Muhammad Hakiki, Yayuk Hidayah","doi":"10.3991/ijim.v18i13.47565","DOIUrl":"https://doi.org/10.3991/ijim.v18i13.47565","url":null,"abstract":"This study aimed to develop an interactive mobile application based on augmented reality (IMoART), which could contribute to reshaping the learning paradigm in computer hardware courses. The IMoART application employs a marker-based tracking method. Accessible on smartphones, it integrates into the learning process, is attractive to students, and fosters engagement as users can visualize hardware through 3D objects. The application serves as an alternative and supplementary learning tool to make the educational experience more enjoyable while potentially reducing school expenditures. The results of the development process, which involved using the 4D model (define, design, develop, and disseminate), showed that the IMoART application is effective, with notable feasibility scores of 3.68 for the media aspect and 3.81 for the material aspect, as evaluated by media and subject matter experts. User responses from teachers and students further support the positive outcomes of the IMoART application, achieving a robust practicality score of 84.68%. Noteworthy aspects such as ease of navigation, clarity, aesthetic features, and instructional quality demonstrate high practicality. This study contributes significantly to the literature by presenting an evaluated model that offers an enjoyable and efficient learning experience using 3D objects, videos, images, simulations, and interactive animations in the context of computer hardware learning.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"32 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141652397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-07-12DOI: 10.3991/ijim.v18i13.49153
Ameen Shaheen, W. Alzyadat, A. Al-Shaikh, Aysh Alhroob
Wearable devices are playing an important role in our daily lives. Nowadays, wearable devices have transformative implications for health, technology, connectivity, humancomputer interaction, and data analytics. Their importance lies in their ability to enhance various aspects of life and contribute to the ongoing evolution of digital landscapes. At the heart of smartwatch design, the processor takes center stage, driving the majority of advancements in smartwatch technology. This paper presents an experimental comparative study of ARM 64-bit processors, analyzing their performance and impact on power consumption, CPU usage, and battery temperature. We evaluate the characteristics of four smartwatch processors: Snapdragon W5+, Snapdragon Wear4100, Exynos W920, and Exynos W930. All of those smartwatches are equipped with ARM 64-bit processors. Our results indicate that none of the four selected smartwatches excelled in all aspects; each exhibits superiority over the others in specific features while being surpassed by others in different attributes.
可穿戴设备在我们的日常生活中发挥着重要作用。如今，可穿戴设备对健康、技术、连通性、人机交互和数据分析具有变革性影响。它们的重要性在于能够提升生活的各个方面，并促进数字景观的不断发展。作为智能手表设计的核心，处理器占据着中心位置，推动着智能手表技术的大部分进步。本文对 ARM 64 位处理器进行了实验性比较研究，分析了它们的性能以及对功耗、CPU 使用率和电池温度的影响。我们评估了四款智能手表处理器的特性：我们评估了四款智能手表处理器的特性：骁龙 W5+、骁龙 Wear4100、Exynos W920 和 Exynos W930。所有这些智能手表都配备了 ARM 64 位处理器。我们的研究结果表明，所选的四款智能手表没有一款在所有方面都表现出色；每款手表都在特定功能方面优于其他手表，但在不同属性方面又被其他手表超越。
{"title":"Wearable Processors Architecture: A Comprehensive Analysis of 64-bit ARM Processors","authors":"Ameen Shaheen, W. Alzyadat, A. Al-Shaikh, Aysh Alhroob","doi":"10.3991/ijim.v18i13.49153","DOIUrl":"https://doi.org/10.3991/ijim.v18i13.49153","url":null,"abstract":"Wearable devices are playing an important role in our daily lives. Nowadays, wearable devices have transformative implications for health, technology, connectivity, humancomputer interaction, and data analytics. Their importance lies in their ability to enhance various aspects of life and contribute to the ongoing evolution of digital landscapes. At the heart of smartwatch design, the processor takes center stage, driving the majority of advancements in smartwatch technology. This paper presents an experimental comparative study of ARM 64-bit processors, analyzing their performance and impact on power consumption, CPU usage, and battery temperature. We evaluate the characteristics of four smartwatch processors: Snapdragon W5+, Snapdragon Wear4100, Exynos W920, and Exynos W930. All of those smartwatches are equipped with ARM 64-bit processors. Our results indicate that none of the four selected smartwatches excelled in all aspects; each exhibits superiority over the others in specific features while being surpassed by others in different attributes.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"28 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141653836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.3991/ijim.v18i11.49061
Ezanee Mohamed Elias, Mohd Nurfaisal Baharuddin, Nur Amalina Mohamad Zaki, Roshartini Omar, Banu Santoso
Mobile ad hoc networks (MANETs) face inherent challenges in maintaining reliable data transmission because of their dynamic and unpredictable nature. This research conducts a comprehensive reliability analysis of data transmission in MANETs, emphasizing the influence of dynamic conditions such as node mobility, changing network topologies, and fluctuating channel conditions. Through the utilization of mathematical models and simulations, the study assesses the overall reliability of data transmission, considering scenarios with diverse node densities, mobility patterns, and network sizes. Existing routing protocols, error correction mechanisms, and adaptive transmission strategies are examined for their effectiveness in reducing the impact of dynamic conditions on reliability. The research not only examines the current state of protocols but also explores potential enhancements and introduces novel approaches to enhance data transmission reliability under dynamic conditions. The findings offer a nuanced understanding of the challenges and opportunities related to reliable communication in MANETs. This research provides crucial insights for designing resilient communication systems in dynamic and mobile network scenarios, offering valuable guidance to researchers, network designers, and practitioners involved in optimizing the performance of MANETs in real-world applications.
{"title":"Analyzing Data Transmission Reliability in Mobile Ad-Hoc Networks under Dynamic Scenarios","authors":"Ezanee Mohamed Elias, Mohd Nurfaisal Baharuddin, Nur Amalina Mohamad Zaki, Roshartini Omar, Banu Santoso","doi":"10.3991/ijim.v18i11.49061","DOIUrl":"https://doi.org/10.3991/ijim.v18i11.49061","url":null,"abstract":"Mobile ad hoc networks (MANETs) face inherent challenges in maintaining reliable data transmission because of their dynamic and unpredictable nature. This research conducts a comprehensive reliability analysis of data transmission in MANETs, emphasizing the influence of dynamic conditions such as node mobility, changing network topologies, and fluctuating channel conditions. Through the utilization of mathematical models and simulations, the study assesses the overall reliability of data transmission, considering scenarios with diverse node densities, mobility patterns, and network sizes. Existing routing protocols, error correction mechanisms, and adaptive transmission strategies are examined for their effectiveness in reducing the impact of dynamic conditions on reliability. The research not only examines the current state of protocols but also explores potential enhancements and introduces novel approaches to enhance data transmission reliability under dynamic conditions. The findings offer a nuanced understanding of the challenges and opportunities related to reliable communication in MANETs. This research provides crucial insights for designing resilient communication systems in dynamic and mobile network scenarios, offering valuable guidance to researchers, network designers, and practitioners involved in optimizing the performance of MANETs in real-world applications.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"15 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141355188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.3991/ijim.v18i11.49045
Vivi Efrianova, Mazri Yaakob, Anas A. Salameh, Kasmaruddin Che Hussin, Nur Amalina Mohamad Zaki
This 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.
{"title":"Formative Assessment of Student’s Academic Achievements in Mobile Learning Environments","authors":"Vivi Efrianova, Mazri Yaakob, Anas A. Salameh, Kasmaruddin Che Hussin, Nur Amalina Mohamad Zaki","doi":"10.3991/ijim.v18i11.49045","DOIUrl":"https://doi.org/10.3991/ijim.v18i11.49045","url":null,"abstract":"This 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.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"124 12","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.3991/ijim.v18i11.49049
Rijal Abdullah, Mohd Nasrun Mohd Nawi, Anas A. Salameh, Rafikullah Deraman, Aizul Nahar Harun
This study investigates the potential of enhancing collaborative learning in mobile environments through the integration of interactive virtual reality (VR) simulations. With the ubiquity of mobile devices and advancements in VR technology, there is a growing interest in using immersive experiences to promote collaborative learning among students. The study explores the design and implementation of interactive VR simulations customized for mobile platforms. The goal is to create engaging and immersive learning experiences that foster collaboration and knowledge sharing. By immersing students in virtual environments where they can interact with digital objects and manipulate scenarios, the study aims to facilitate active participation and teamwork, thereby enhancing learning outcomes. Furthermore, the study examines the impact of interactive VR simulations on student engagement, motivation, and knowledge retention in collaborative learning settings. Through empirical studies and user evaluations, the effectiveness of interactive VR simulations as a tool for collaborative learning in mobile environments is assessed. The findings provide valuable insights into the design and pedagogical integration of VR technologies in mobile learning contexts. They offer guidance for educators and instructional designers who aim to leverage the potential of immersive experiences to improve collaborative learning outcomes.
{"title":"Enhancing Collaborative Learning in Mobile Environments through Interactive Virtual Reality Simulations","authors":"Rijal Abdullah, Mohd Nasrun Mohd Nawi, Anas A. Salameh, Rafikullah Deraman, Aizul Nahar Harun","doi":"10.3991/ijim.v18i11.49049","DOIUrl":"https://doi.org/10.3991/ijim.v18i11.49049","url":null,"abstract":"This study investigates the potential of enhancing collaborative learning in mobile environments through the integration of interactive virtual reality (VR) simulations. With the ubiquity of mobile devices and advancements in VR technology, there is a growing interest in using immersive experiences to promote collaborative learning among students. The study explores the design and implementation of interactive VR simulations customized for mobile platforms. The goal is to create engaging and immersive learning experiences that foster collaboration and knowledge sharing. By immersing students in virtual environments where they can interact with digital objects and manipulate scenarios, the study aims to facilitate active participation and teamwork, thereby enhancing learning outcomes. Furthermore, the study examines the impact of interactive VR simulations on student engagement, motivation, and knowledge retention in collaborative learning settings. Through empirical studies and user evaluations, the effectiveness of interactive VR simulations as a tool for collaborative learning in mobile environments is assessed. The findings provide valuable insights into the design and pedagogical integration of VR technologies in mobile learning contexts. They offer guidance for educators and instructional designers who aim to leverage the potential of immersive experiences to improve collaborative learning outcomes.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"84 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.3991/ijim.v18i11.49779
Na Liu, Yongxia Li, Yuxiu Guo
With the advent of the digital era, the quantity and variety of online higher education learning resources have expanded rapidly. The efficient adaptation of suitable resources to meet the needs of learners with specific requirements has become crucial for improving learning outcomes. Although current online learning resource recommendation systems have made some progress in matching resources, they still face challenges related to the inadequate integration of resource features and a superficial understanding of learners’ needs. These challenges hinder the achievement of personalized and precise matching, affecting learners’ study efficiency and the effective utilization of educational resources. This study first analyzes the importance of adapting online higher education learning resources and the limitations of existing research. Subsequently, a novel neural network optimization strategy is proposed. The research comprises two main parts. Firstly, the self-attention-convolutional neural network (SA-CNN) model is employed for the deep integration of the content features of online learning resources. This aims to enhance the comprehensiveness of resource descriptions. Secondly, a deep-metric attention model is introduced to accurately model and adapt to learners’ needs. This approach not only optimizes the feature representation of learning resources but also enhances the sensitivity and accuracy of the recommendation system towards learners’ requirements. This study is of significant importance for improving the performance of higher education online learning resource recommendation systems. It also provides new insights into the construction of personalized learning paths and ensuring the balanced allocation of educational resources.
{"title":"Optimization of Online Learning Resource Adaptation in Higher Education through Neural Network Approaches","authors":"Na Liu, Yongxia Li, Yuxiu Guo","doi":"10.3991/ijim.v18i11.49779","DOIUrl":"https://doi.org/10.3991/ijim.v18i11.49779","url":null,"abstract":"With the advent of the digital era, the quantity and variety of online higher education learning resources have expanded rapidly. The efficient adaptation of suitable resources to meet the needs of learners with specific requirements has become crucial for improving learning outcomes. Although current online learning resource recommendation systems have made some progress in matching resources, they still face challenges related to the inadequate integration of resource features and a superficial understanding of learners’ needs. These challenges hinder the achievement of personalized and precise matching, affecting learners’ study efficiency and the effective utilization of educational resources. This study first analyzes the importance of adapting online higher education learning resources and the limitations of existing research. Subsequently, a novel neural network optimization strategy is proposed. The research comprises two main parts. Firstly, the self-attention-convolutional neural network (SA-CNN) model is employed for the deep integration of the content features of online learning resources. This aims to enhance the comprehensiveness of resource descriptions. Secondly, a deep-metric attention model is introduced to accurately model and adapt to learners’ needs. This approach not only optimizes the feature representation of learning resources but also enhances the sensitivity and accuracy of the recommendation system towards learners’ requirements. This study is of significant importance for improving the performance of higher education online learning resource recommendation systems. It also provides new insights into the construction of personalized learning paths and ensuring the balanced allocation of educational resources.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"99 24","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.3991/ijim.v18i11.49097
Ismael, Nizwardi Jalinus, Rusnardi Rahmad Putra
This study focuses on investigating the integration of project-based learning with computational thinking (PjBL-CT) skills to enhance students’ proficiency in learning mobile programming. The findings of the model provide an evaluation of cognitive aspects, affective aspects in the form of 4C soft skills, and psychomotor aspects. To measure the effectiveness of the model, we will test the differences in the quality of student learning outcomes between two groups: the control group and the experimental group. The cognitive test results showed a value of 80.85 for the experimental class and 73.21 for the control class. For the assessment of soft skill 4C, student creativity aspects are superior to other aspects. Whereas for aspects of enhancing the project’s value, an important finding from the results obtained is the significant improvement in the quality of learning by incorporating computational thinking into the problem-based learning (PBL) model.
{"title":"Implementation of Project-Based Learning Computational Thinking Models in Mobile Programming Courses","authors":"Ismael, Nizwardi Jalinus, Rusnardi Rahmad Putra","doi":"10.3991/ijim.v18i11.49097","DOIUrl":"https://doi.org/10.3991/ijim.v18i11.49097","url":null,"abstract":"This study focuses on investigating the integration of project-based learning with computational thinking (PjBL-CT) skills to enhance students’ proficiency in learning mobile programming. The findings of the model provide an evaluation of cognitive aspects, affective aspects in the form of 4C soft skills, and psychomotor aspects. To measure the effectiveness of the model, we will test the differences in the quality of student learning outcomes between two groups: the control group and the experimental group. The cognitive test results showed a value of 80.85 for the experimental class and 73.21 for the control class. For the assessment of soft skill 4C, student creativity aspects are superior to other aspects. Whereas for aspects of enhancing the project’s value, an important finding from the results obtained is the significant improvement in the quality of learning by incorporating computational thinking into the problem-based learning (PBL) model.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"36 6","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141354346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.3991/ijim.v18i11.49095
B. Suresh Kumar, M. S. Hemawathi, P. Dhanasekaran, Vishnu Kumar Kaliappan, D. Sivaganesan
In 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.
{"title":"Maximizing Learning Outcomes while Minimizing Costs: A Cost-Effective Approach to M-Learning","authors":"B. Suresh Kumar, M. S. Hemawathi, P. Dhanasekaran, Vishnu Kumar Kaliappan, D. Sivaganesan","doi":"10.3991/ijim.v18i11.49095","DOIUrl":"https://doi.org/10.3991/ijim.v18i11.49095","url":null,"abstract":"In 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.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"94 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141352898","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.3991/ijim.v18i11.48877
A. S. Abdelmagid, Mohamed Ahmed Hafez, Eman Wefky Ahmed, N. Jabli, A. M. Ibrahim, A. Teleb, N. Aljawarneh
In this paper, we investigate the efficacy of an edX-based learning technology and learning environment augmented with artificial intelligence (AI) applications in fostering technological innovation skills among university students. A quasi-experimental design was employed, involving two groups of bachelor’s degree students (n = 57) from the College of Education at King Khalid University. The experimental group (n = 28) utilized the edX platform with integrated AI features, while the control group (n = 29) employed the traditional Blackboard platform. Both groups participated in the “Using Computers in Education” course. A pre-post assessment of technological innovation skills was conducted, and the data were analyzed using an independent sample t-test. Results revealed a statistically significant difference in skill development between the groups, favoring the edX platform with AI integration. These findings suggest that using blended learning environments may have the potential to enhance students’ technological innovation capabilities.
{"title":"Interactive Digital Platforms and Artificial Intelligence Applications to Develop Technological Innovation Skills among Saudi University Students","authors":"A. S. Abdelmagid, Mohamed Ahmed Hafez, Eman Wefky Ahmed, N. Jabli, A. M. Ibrahim, A. Teleb, N. Aljawarneh","doi":"10.3991/ijim.v18i11.48877","DOIUrl":"https://doi.org/10.3991/ijim.v18i11.48877","url":null,"abstract":"In this paper, we investigate the efficacy of an edX-based learning technology and learning environment augmented with artificial intelligence (AI) applications in fostering technological innovation skills among university students. A quasi-experimental design was employed, involving two groups of bachelor’s degree students (n = 57) from the College of Education at King Khalid University. The experimental group (n = 28) utilized the edX platform with integrated AI features, while the control group (n = 29) employed the traditional Blackboard platform. Both groups participated in the “Using Computers in Education” course. A pre-post assessment of technological innovation skills was conducted, and the data were analyzed using an independent sample t-test. Results revealed a statistically significant difference in skill development between the groups, favoring the edX platform with AI integration. These findings suggest that using blended learning environments may have the potential to enhance students’ technological innovation capabilities.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"22 11","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141353703","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-06-12DOI: 10.3991/ijim.v18i11.49051
Rijal Abdullah, Noorulsadiqin Azbiya Yaacob, Anas A. Salameh, Nur Amalina Mohamad Zaki, Nur Fadhilah Bahardin
Mobile edge computing (MEC) has emerged as a pivotal technology to address the computational demands of resource-constrained mobile devices by offloading tasks to nearby edge servers. However, ensuring the security and efficiency of computation offloading in multiaccess MEC networks remains a critical challenge. This paper proposes a novel approach that leverages deep reinforcement learning (DRL) for secure computation offloading in multi-access MEC networks. The proposed framework utilizes DRL agents to dynamically make offloading decisions based on the current network conditions, resource availability, and security requirements. The agents learn optimal offloading policies through interactions with the environment, aiming to maximize task completion efficiency while minimizing security risks. To enhance security, the framework integrates encryption techniques and access control mechanisms to protect sensitive data during offloading. The proposed approach undergoes comprehensive simulations to assess its performance in terms of security, efficiency, and scalability. The results demonstrate that the DRL-based approach effectively balances the tradeoffs between security and efficiency, achieving robust and adaptive computation offloading in multi-access MEC networks. This study contributes to advancing the state-of-the-art in secure and efficient mobile edge computing systems, fostering the development of intelligent and resilient MEC solutions for future mobile networks.
{"title":"Secured Computation Offloading in Multi-Access Mobile Edge Computing Networks through Deep Reinforcement Learning","authors":"Rijal Abdullah, Noorulsadiqin Azbiya Yaacob, Anas A. Salameh, Nur Amalina Mohamad Zaki, Nur Fadhilah Bahardin","doi":"10.3991/ijim.v18i11.49051","DOIUrl":"https://doi.org/10.3991/ijim.v18i11.49051","url":null,"abstract":"Mobile edge computing (MEC) has emerged as a pivotal technology to address the computational demands of resource-constrained mobile devices by offloading tasks to nearby edge servers. However, ensuring the security and efficiency of computation offloading in multiaccess MEC networks remains a critical challenge. This paper proposes a novel approach that leverages deep reinforcement learning (DRL) for secure computation offloading in multi-access MEC networks. The proposed framework utilizes DRL agents to dynamically make offloading decisions based on the current network conditions, resource availability, and security requirements. The agents learn optimal offloading policies through interactions with the environment, aiming to maximize task completion efficiency while minimizing security risks. To enhance security, the framework integrates encryption techniques and access control mechanisms to protect sensitive data during offloading. The proposed approach undergoes comprehensive simulations to assess its performance in terms of security, efficiency, and scalability. The results demonstrate that the DRL-based approach effectively balances the tradeoffs between security and efficiency, achieving robust and adaptive computation offloading in multi-access MEC networks. This study contributes to advancing the state-of-the-art in secure and efficient mobile edge computing systems, fostering the development of intelligent and resilient MEC solutions for future mobile networks.","PeriodicalId":507995,"journal":{"name":"International Journal of Interactive Mobile Technologies (iJIM)","volume":"62 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141350286","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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