Pub Date : 2023-09-14DOI: 10.3991/ijim.v17i17.41705
Hamdan Husein Batubara, Hasni Noor, Pahri Siregar, Al Ihwanah, Miftahul Husni, Djoko Rohadi Wibowo, Ahmad Maghfurin, Dessy Noor Ariani
The ability to create and use effective learning media is critical to students’ academic success. Therefore, a customized learning model for a learning media course needs to be developed to enhance learning effectiveness. The mobile-assisted project-based learning (PjBL) model was developed under the guidance of the Dick and Carey model to improve student learning outcomes in a learning media course. The validity test conducted for this model received a good score from expert validators, with an average score of 4.50 for usability and presentation, 4.56 for display, and 4.53 for language. The effectiveness test showed a high average n-gain of 0.83 in the one-to-one trial, 0.74 in the small group trial, and 0.73 in the large group trial. In addition, student feedback on the practicality of the mobile-assisted PjBL model was very good, with an average score of 4.31, or 86% of the ideal score. Based on these results, it is highly recommended to implement the mobile-supported PjBL model when teaching a learning media course.
{"title":"Developing a Mobile-Assisted Project-Based Learning Model for a Learning Media Course","authors":"Hamdan Husein Batubara, Hasni Noor, Pahri Siregar, Al Ihwanah, Miftahul Husni, Djoko Rohadi Wibowo, Ahmad Maghfurin, Dessy Noor Ariani","doi":"10.3991/ijim.v17i17.41705","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.41705","url":null,"abstract":"The ability to create and use effective learning media is critical to students’ academic success. Therefore, a customized learning model for a learning media course needs to be developed to enhance learning effectiveness. The mobile-assisted project-based learning (PjBL) model was developed under the guidance of the Dick and Carey model to improve student learning outcomes in a learning media course. The validity test conducted for this model received a good score from expert validators, with an average score of 4.50 for usability and presentation, 4.56 for display, and 4.53 for language. The effectiveness test showed a high average n-gain of 0.83 in the one-to-one trial, 0.74 in the small group trial, and 0.73 in the large group trial. In addition, student feedback on the practicality of the mobile-assisted PjBL model was very good, with an average score of 4.31, or 86% of the ideal score. Based on these results, it is highly recommended to implement the mobile-supported PjBL model when teaching a learning media course.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913498","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 : 2023-09-14DOI: 10.3991/ijim.v17i17.40959
Walaa Jumah AlKasasbeh, Adam Tawfik Amawi
This research aims to investigate the effectiveness of using a mobile learning application on undergraduates’ intrinsic motivation and their general nutrition knowledge. This quasi-experimental study involved the participation of 125 students who were divided into two groups: a control group consisting of 62 students and an experimental group comprising 63 students. Pre- and post-intrinsic motivation questionnaires and a nutritional knowledge test were administered. The results showed significant differences between the control group and the experimental group. The experimental group exhibited a higher level of knowledge, and there were no statistically significant differences in intrinsic motivation between the control group and the experimental group. The application was found to be effective in improving nutrition knowledge but did not enhance intrinsic motivation. Further research may be needed to understand the factors that influence intrinsic motivation and how to effectively increase it.
{"title":"The Effectiveness of Using Mobile Learning Application on Undergraduates’ Intrinsic Motivation and Their General Nutrition Knowledge","authors":"Walaa Jumah AlKasasbeh, Adam Tawfik Amawi","doi":"10.3991/ijim.v17i17.40959","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.40959","url":null,"abstract":"This research aims to investigate the effectiveness of using a mobile learning application on undergraduates’ intrinsic motivation and their general nutrition knowledge. This quasi-experimental study involved the participation of 125 students who were divided into two groups: a control group consisting of 62 students and an experimental group comprising 63 students. Pre- and post-intrinsic motivation questionnaires and a nutritional knowledge test were administered. The results showed significant differences between the control group and the experimental group. The experimental group exhibited a higher level of knowledge, and there were no statistically significant differences in intrinsic motivation between the control group and the experimental group. The application was found to be effective in improving nutrition knowledge but did not enhance intrinsic motivation. Further research may be needed to understand the factors that influence intrinsic motivation and how to effectively increase it.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913595","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 : 2023-09-14DOI: 10.3991/ijim.v17i17.40965
Yashdeep Singh, Pradeep Kumar Suri
This study examines mobile learning adoption and continuance in education literature through bibliometric methods. The metadata of 155 relevant publications was extracted from the Web of Science database and imported into “biblioshiny” for analysis. It was found that Education and Information Technologies has the highest publications, and Computers & Education is the most cited journal. Author analysis revealed that Shakeel Iqbal has the most articles fractionalized. Further, the most cited articles were published in the year 2012. The study revealed an exponential increase in research in the top producers, China and Turkey, since 2019. TAM was found to be the most popular theory among researchers. In addition, interest in self-determination theory has been growing recently. The studies examined limited subjects (language, mathematics, and science). The findings indicated several associated keywords, such as augmented reality, cyberloafing, and virtual reality. The thematic map revealed emerging (e.g., self-regulation), niche (e.g., literacy), motor (e.g., attitude), and basic (e.g., addiction) themes. Further, the conceptual structure map suggested the nuances of difference between the constructs of “intention” and “continuance intention.”
本研究透过文献计量学的方法，检视移动学习在教育文献中的采用与继续。从Web of Science数据库中提取155篇相关文献的元数据，导入“biblioshiny”进行分析。研究发现，《教育与信息技术》(Education and Information technology)的出版物最多，《计算机》(Computers &《教育》是被引用最多的期刊。作者分析显示，沙基尔·伊克巴尔的文章被分数化的最多。此外，被引用最多的文章发表在2012年。该研究显示，自2019年以来，顶级生产国中国和土耳其的研究呈指数级增长。TAM被发现是最受研究人员欢迎的理论。此外，对自我决定理论的兴趣最近也在增长。这些研究考察了有限的科目(语言、数学和科学)。研究结果指出了几个相关的关键词，如增强现实、网络闲逛和虚拟现实。主题地图揭示了新兴主题(如自我调节)、利基主题(如识字)、运动主题(如态度)和基本主题(如成瘾)。此外，概念结构图显示了“意图”和“继续意图”构念之间的细微差别。
{"title":"A Bibliometric Analysis of the Literature on Mobile Learning Adoption and Continuance in the Field of Education","authors":"Yashdeep Singh, Pradeep Kumar Suri","doi":"10.3991/ijim.v17i17.40965","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.40965","url":null,"abstract":"This study examines mobile learning adoption and continuance in education literature through bibliometric methods. The metadata of 155 relevant publications was extracted from the Web of Science database and imported into “biblioshiny” for analysis. It was found that Education and Information Technologies has the highest publications, and Computers & Education is the most cited journal. Author analysis revealed that Shakeel Iqbal has the most articles fractionalized. Further, the most cited articles were published in the year 2012. The study revealed an exponential increase in research in the top producers, China and Turkey, since 2019. TAM was found to be the most popular theory among researchers. In addition, interest in self-determination theory has been growing recently. The studies examined limited subjects (language, mathematics, and science). The findings indicated several associated keywords, such as augmented reality, cyberloafing, and virtual reality. The thematic map revealed emerging (e.g., self-regulation), niche (e.g., literacy), motor (e.g., attitude), and basic (e.g., addiction) themes. Further, the conceptual structure map suggested the nuances of difference between the constructs of “intention” and “continuance intention.”","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913596","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 : 2023-09-14DOI: 10.3991/ijim.v17i17.42805
J. Praveenchandar, S. Vinoth Kumar, A. Christopher Paul, M. A Mukunthan, K. Maharajan
IoT is becoming increasingly popular due to its quick expansion and variety of applications. In addition, 5G technology helps with communication and network connectivity. This work integrates C-RAN with IoT networks to provide an experimental 5G testbed. In a 5G IoT environment, this experience is utilized to enhance both perpendicular and flat localization (3D localization). DRCaG, an acronym for the proposed model, stands for a deep, complicated network with a gated layer on top. The performance of the proposed model has been demonstrated through extensive simulations in terms of learning reduction, accuracy, and matrix disorientation, with a variable signal-to-noise ratio (SNR) spanning from 20 dB to + 20 dB, which illustrates the superiority of DRCaG compared to others. An online, end-to-end solution based on deep learning techniques is presented in this study for the fast, precise, reliable, and automatic detection of diverse petty crime types. By detecting tiny crimes like hostility, bag snatching, and vandalism, the suggested system may not only identify unusual passenger behavior like vandalism and accidents but also improve passenger security. The solution performs admirably in a variety of use cases and environmental settings.
{"title":"Deep Learning Algorithms in Mobile Edge with Real-Time Abnormal Event Detection for 5G-IoT Devices","authors":"J. Praveenchandar, S. Vinoth Kumar, A. Christopher Paul, M. A Mukunthan, K. Maharajan","doi":"10.3991/ijim.v17i17.42805","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.42805","url":null,"abstract":"IoT is becoming increasingly popular due to its quick expansion and variety of applications. In addition, 5G technology helps with communication and network connectivity. This work integrates C-RAN with IoT networks to provide an experimental 5G testbed. In a 5G IoT environment, this experience is utilized to enhance both perpendicular and flat localization (3D localization). DRCaG, an acronym for the proposed model, stands for a deep, complicated network with a gated layer on top. The performance of the proposed model has been demonstrated through extensive simulations in terms of learning reduction, accuracy, and matrix disorientation, with a variable signal-to-noise ratio (SNR) spanning from 20 dB to + 20 dB, which illustrates the superiority of DRCaG compared to others. An online, end-to-end solution based on deep learning techniques is presented in this study for the fast, precise, reliable, and automatic detection of diverse petty crime types. By detecting tiny crimes like hostility, bag snatching, and vandalism, the suggested system may not only identify unusual passenger behavior like vandalism and accidents but also improve passenger security. The solution performs admirably in a variety of use cases and environmental settings.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"66 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913601","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}
Scaffolding self-regulated learning is an emerging research agenda in higher education. However, scaffolding self-regulated learning in a relatively complex subject such as statistics is still understudied. The present study addresses this matter by observing university students’ engagement in scaffolding self-regulated learning in a statistics course focusing on their scaffolding responses, resources contribution and target achievements. It was an exploratory case study with the participation of 26 private university students who are enrolled in the fifth semester as their third-year studies. The results indicate that university students are aware of statistics learning goals but overtargeting achievements, as they were less likely to achieve their decided targets. Students prefer to write a self-reflection than take notes. The different duration of watching videos and reading modules does not vary in quiz performance. The current findings add a novel understanding that self-regulated statistics learning requires advanced scaffolds to promote higher outcomes because of its characteristics as a complex and abstract subject.
{"title":"Probing Scaffolding Self-Regulated Learning Responses, Resources Contribution and Target Achievements of University Students in Statistics Course","authors":"Aeng Muhidin, Basuki Wibawa, None Khaerudin, Shinta Doriza, Imam Fitri Rahmadi","doi":"10.3991/ijim.v17i17.41701","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.41701","url":null,"abstract":"Scaffolding self-regulated learning is an emerging research agenda in higher education. However, scaffolding self-regulated learning in a relatively complex subject such as statistics is still understudied. The present study addresses this matter by observing university students’ engagement in scaffolding self-regulated learning in a statistics course focusing on their scaffolding responses, resources contribution and target achievements. It was an exploratory case study with the participation of 26 private university students who are enrolled in the fifth semester as their third-year studies. The results indicate that university students are aware of statistics learning goals but overtargeting achievements, as they were less likely to achieve their decided targets. Students prefer to write a self-reflection than take notes. The different duration of watching videos and reading modules does not vary in quiz performance. The current findings add a novel understanding that self-regulated statistics learning requires advanced scaffolds to promote higher outcomes because of its characteristics as a complex and abstract subject.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913718","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 : 2023-09-14DOI: 10.3991/ijim.v17i17.42835
None B. Ankayarkanni, None Niroj Kumar Pani, None M. Anand, None V. Malathy, None Bhupati
Mobile IoT devices provide a lot of data every day, which provides a strong base for machine learning to succeed. However, the stringent privacy demands associated with mobile IoT data pose significant challenges for its implementation in machine learning tasks. In order to address this challenge, we propose privacy-preserving federated learning framework (P2FLF) in a mobile fog computing environment. By employing federated learning, it is possible to bring together numerous dispersed user sets and collectively train models without the need to upload datasets. Federated learning, an approach to distributed machine learning, has garnered significant attention for its ability to enable collaborative model training without the need to share sensitive data. By utilizing fog nodes deployed at the edge of the network, P2FLF ensures that sensitive mobile IoT data remains local and is not transmitted to the central server. The framework integrates privacy-preserving methods, such as differential privacy and encryption, to safeguard the data throughout the learning process. We evaluate the performance and efficacy of P2FLF through experimental simulations and compare it with existing approaches. The results demonstrate that P2FLF strikes a balance between model accuracy and privacy protection while enabling efficient federated learning in mobile IoT environments.
{"title":"P2FLF: Privacy-Preserving Federated Learning Framework Based on Mobile Fog Computing","authors":"None B. Ankayarkanni, None Niroj Kumar Pani, None M. Anand, None V. Malathy, None Bhupati","doi":"10.3991/ijim.v17i17.42835","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.42835","url":null,"abstract":"Mobile IoT devices provide a lot of data every day, which provides a strong base for machine learning to succeed. However, the stringent privacy demands associated with mobile IoT data pose significant challenges for its implementation in machine learning tasks. In order to address this challenge, we propose privacy-preserving federated learning framework (P2FLF) in a mobile fog computing environment. By employing federated learning, it is possible to bring together numerous dispersed user sets and collectively train models without the need to upload datasets. Federated learning, an approach to distributed machine learning, has garnered significant attention for its ability to enable collaborative model training without the need to share sensitive data. By utilizing fog nodes deployed at the edge of the network, P2FLF ensures that sensitive mobile IoT data remains local and is not transmitted to the central server. The framework integrates privacy-preserving methods, such as differential privacy and encryption, to safeguard the data throughout the learning process. We evaluate the performance and efficacy of P2FLF through experimental simulations and compare it with existing approaches. The results demonstrate that P2FLF strikes a balance between model accuracy and privacy protection while enabling efficient federated learning in mobile IoT environments.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913720","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 : 2023-09-14DOI: 10.3991/ijim.v17i17.39121
Yali Tian, Norbayah Mohd Suki
Digital storytelling has proven to be a pedagogy that can enhance learners’ motivation and multiple competencies. However, there is a lack of conceptual research on digital storytelling in higher education. This study aims to assess the trends of digital storytelling in higher education through bibliometric analysis. The PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) procedure was used to extract data from the Scopus and Web of Science databases. A thorough review was conducted to classify and rank the relevant literature on digital storytelling in higher education. The result shows that research on digital storytelling in higher education is increasing annually, but there are significant regional and disciplinary gaps at the higher education level. The main findings of this study are helpful for practitioners and researchers to understand better the current state of research on digital storytelling in higher education and to provide directions for future research.
数字讲故事已被证明是一种可以增强学习者动机和多种能力的教学法。然而，关于高等教育中数字化叙事的概念性研究还很缺乏。本研究旨在透过文献计量分析，评估数位叙事在高等教育中的发展趋势。使用PRISMA(系统评价和荟萃分析首选报告项目)程序从Scopus和Web of Science数据库中提取数据。我们对高等教育中数字化讲故事的相关文献进行了全面的分类和排名。研究结果表明，高等教育数字化叙事的研究呈逐年增长趋势，但在高等教育层面存在显著的区域和学科差距。本研究的主要发现有助于从业者和研究者更好地了解高等教育数字化叙事的研究现状，并为未来的研究提供方向。
{"title":"Evaluating Future Trends of Digital Storytelling in Higher Education: A Bibliometric Analysis","authors":"Yali Tian, Norbayah Mohd Suki","doi":"10.3991/ijim.v17i17.39121","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.39121","url":null,"abstract":"Digital storytelling has proven to be a pedagogy that can enhance learners’ motivation and multiple competencies. However, there is a lack of conceptual research on digital storytelling in higher education. This study aims to assess the trends of digital storytelling in higher education through bibliometric analysis. The PRISMA (Preferred Reporting Items for Systematic Review and Meta-Analyses) procedure was used to extract data from the Scopus and Web of Science databases. A thorough review was conducted to classify and rank the relevant literature on digital storytelling in higher education. The result shows that research on digital storytelling in higher education is increasing annually, but there are significant regional and disciplinary gaps at the higher education level. The main findings of this study are helpful for practitioners and researchers to understand better the current state of research on digital storytelling in higher education and to provide directions for future research.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"214 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913592","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 : 2023-09-14DOI: 10.3991/ijim.v17i17.38023
Muhtada Zuhair Ali, Karrar Shakir Muttair
In recent years, deep distributed neural networks (DDNNs) and neural networks (NN) have excelled in an extensive list of applications. For example, deep convolutional neural networks (DCNNs) are constantly gaining new features in various tasks in computer vision. At the same time, the number of end devices, including Internet of Things (IoT) devices has increased prominently. These devices are attractive targets for machine learning applications because they are often directly connected to sensors. For example (cameras, microphones, and gyroscopes) that record large amounts of input data in a stream mode. This study presents the design of a DDNN with end devices, edges, and clouds that spans computer hierarchies. The idea presented is considered one of the new ideas because it depends on two layers to distinguish, namely the convolutional layer and the pooling layer. The main objective behind using these two layers in one proposal is to provide and obtain the best results. Finally, we discovered that the proposed technique produced the best results in terms of accuracy and cost, with the precision of the definition reaching 99 % and the cost being quite affordable at 25. As a result, we conclude that these results are far superior to those achieved by the researchers in their ideas provided in previous recent literature.
{"title":"A Novel Approach to Improving Distributed Deep Neural Networks over Cloud Computing","authors":"Muhtada Zuhair Ali, Karrar Shakir Muttair","doi":"10.3991/ijim.v17i17.38023","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.38023","url":null,"abstract":"In recent years, deep distributed neural networks (DDNNs) and neural networks (NN) have excelled in an extensive list of applications. For example, deep convolutional neural networks (DCNNs) are constantly gaining new features in various tasks in computer vision. At the same time, the number of end devices, including Internet of Things (IoT) devices has increased prominently. These devices are attractive targets for machine learning applications because they are often directly connected to sensors. For example (cameras, microphones, and gyroscopes) that record large amounts of input data in a stream mode. This study presents the design of a DDNN with end devices, edges, and clouds that spans computer hierarchies. The idea presented is considered one of the new ideas because it depends on two layers to distinguish, namely the convolutional layer and the pooling layer. The main objective behind using these two layers in one proposal is to provide and obtain the best results. Finally, we discovered that the proposed technique produced the best results in terms of accuracy and cost, with the precision of the definition reaching 99 % and the cost being quite affordable at 25. As a result, we conclude that these results are far superior to those achieved by the researchers in their ideas provided in previous recent literature.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913604","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}
Virtually enhancing the real environment with augmented reality (AR) has lots of potential but is still in the early stages of research. The definition of appropriate user interfaces (UIs) is complicated by the absence of standards and the growing complexity of interaction opportunities. Several educators have discussed the advantages of XR for students as well as the use of AR and VR in the laboratory. Utilizing AR and VR to create immersive learning experiences is challenging since it takes time and effort to construct instructional AR and VR tools, apps, or educational settings. Because of this, even though these new technologies are said to help today’s students, their implementation in education may be postponed or stopped. In this research, the usage of XR technologies in education has been investigated through the examination of websites, technical papers, reports, and mobile app stores. This research study proposes a collision detection algorithm (CDA) utilizing machine learning. In order to aid in the identification of the meeting of two objects in the virtual environment, the collision detection method is employed in applications that support augmented reality and simulated reality technologies. In this study, mean, standard deviation and error parameters were utilized to analyze competitions that were related to augmented reality and virtual reality.
{"title":"Expanding an Education-based Collision Detection System Created on Virtual Reality and Augmented Reality","authors":"Harish Dutt Sharma, Yogesh Misra, Sumit Kumar, B. Madhav Rao, Bhupati Ch","doi":"10.3991/ijim.v17i17.42831","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.42831","url":null,"abstract":"Virtually enhancing the real environment with augmented reality (AR) has lots of potential but is still in the early stages of research. The definition of appropriate user interfaces (UIs) is complicated by the absence of standards and the growing complexity of interaction opportunities. Several educators have discussed the advantages of XR for students as well as the use of AR and VR in the laboratory. Utilizing AR and VR to create immersive learning experiences is challenging since it takes time and effort to construct instructional AR and VR tools, apps, or educational settings. Because of this, even though these new technologies are said to help today’s students, their implementation in education may be postponed or stopped. In this research, the usage of XR technologies in education has been investigated through the examination of websites, technical papers, reports, and mobile app stores. This research study proposes a collision detection algorithm (CDA) utilizing machine learning. In order to aid in the identification of the meeting of two objects in the virtual environment, the collision detection method is employed in applications that support augmented reality and simulated reality technologies. In this study, mean, standard deviation and error parameters were utilized to analyze competitions that were related to augmented reality and virtual reality.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913486","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 : 2023-09-14DOI: 10.3991/ijim.v17i17.42801
Anas A. Salameh, Ibrahim A. Abu-AlSondos, Noor Hidayah Abu, Aizul Nahar Harun
Medical digital technologies have the potential to improve public access to healthcare by enhancing its flexibility. The availability of complementary details about health, ailments, complications, and the most recent advancements in biomedical research are all included. Diagnostic and medical services are now becoming more available and accessible, especially in low-income countries. Regarding digital health technology, there are still a lot of challenges that need to be overcome, such as dependability, safety, testing, and ethical concerns. We propose that mobile technology should enhance rather than replace the psychiatrist-patient connection in the existing environment of inadequate regulatory oversight and scientific research to lessen possible clinical and moral harm to patients at risk. We identify potential areas of moral conflict between consumer-driven mobile businesses and healthcare practice and create a decision tree model for putting ethical safeguards in place. Informed consent, confidentiality, and shared treatment expectations are the main areas of attention for this paradigm when it comes to risk management in the therapeutic partnership. To comprehend the utility, capacity, and limitations, this study covers recent breakthroughs in mobile technologies, their applications, and a comparative analysis of their performance metrics. Understanding the weaknesses of current technologies can facilitate the creation of new frameworks with increased performance capabilities and superior service quality.
{"title":"Current Knowledge and Future Possibilities of Medical Digital Technologies based on Mobile Health","authors":"Anas A. Salameh, Ibrahim A. Abu-AlSondos, Noor Hidayah Abu, Aizul Nahar Harun","doi":"10.3991/ijim.v17i17.42801","DOIUrl":"https://doi.org/10.3991/ijim.v17i17.42801","url":null,"abstract":"Medical digital technologies have the potential to improve public access to healthcare by enhancing its flexibility. The availability of complementary details about health, ailments, complications, and the most recent advancements in biomedical research are all included. Diagnostic and medical services are now becoming more available and accessible, especially in low-income countries. Regarding digital health technology, there are still a lot of challenges that need to be overcome, such as dependability, safety, testing, and ethical concerns. We propose that mobile technology should enhance rather than replace the psychiatrist-patient connection in the existing environment of inadequate regulatory oversight and scientific research to lessen possible clinical and moral harm to patients at risk. We identify potential areas of moral conflict between consumer-driven mobile businesses and healthcare practice and create a decision tree model for putting ethical safeguards in place. Informed consent, confidentiality, and shared treatment expectations are the main areas of attention for this paradigm when it comes to risk management in the therapeutic partnership. To comprehend the utility, capacity, and limitations, this study covers recent breakthroughs in mobile technologies, their applications, and a comparative analysis of their performance metrics. Understanding the weaknesses of current technologies can facilitate the creation of new frameworks with increased performance capabilities and superior service quality.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134913606","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：