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How Augmented Reality Works: Technical Issues, User Issues, Content Development, and Curriculum Adaptations as Challenges Through Bibliometric Analysis

How Augmented Reality Works: Technical Issues, User Issues, ...

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2023 International Conference on Informatics, Multimedia, Cyber and Information Systems, ICIMCIS 2023

作者： Zamahsari, Gamal Kusuma Nur Amalia, Mufidah Rifah, Lailatul Permana, Frihandhika Faculty of Humanities Bina Nusantara University Digital Language Learning Center Communication Science Department Jakarta Indonesia Faculty of Humanities Bina Nusantara University Digital Language Learning Center Computer Science Department Jakarta Indonesia Faculty of Humanities Bina Nusantara University Digital Language Learning Center Visual Communication Design Jakarta Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia

ISBN: (纸本)9798350307306

Augmented reality has been effectively used in the domain of education. Nevertheless, the development of technology is not without its problems, particularly when it comes to aligning it with existing demands and prevailing trends. The primary objective of this research endeavor is to provide a comprehensive account and identify pertinent concerns pertaining to the challenges encountered in the use of augmented reality (AR), particularly within the realm of education. A bibliometric study was performed using analytical tools available on the *** website, and the Vos viewer application was used for the viewing of bibliometric data. The study's results indicate that there are many concerns that stakeholders should take into consideration while using augmented reality in educational settings. There are four distinct hurdles in the adaptation of Augmented Reality (AR) technology to meet the demands of learning environments. These challenges include technical issues, user-related concerns, the production of AR content, and the adaptation of curricula to effectively incorporate AR into educational settings. © 2023 IEEE.

关键词： Augmented reality

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Developing creative material in STEM courses using integrated engineering design based on APOS theory

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International Journal of Technology and design Education 2023年第4期33卷 1627-1651页

作者： Zhong, Hua-Xu Lai, Chin-Feng Chang, Jui-Hung Chiu, Po-Sheng Department of Engineering Science National Cheng Kung University 1 University Rd. Tainan701 Taiwan Computer and Network Center Department of Computer Science and Information Engineering Department of Computer Science National Cheng Kung University 1 University Rd. Tainan701 Taiwan Department of E-Learning Design and Management National Chiayi University No. 85 Wenlong Minxiong Township Chiayi County 621 Taiwan

Over the past several years, creativity has been recognized as an important skill for success in STEM education, engineering design and computational thinking. There is limited research on how to apply Conceive, design, Implement, Operate (CDIO) engineering design in STEM courses and how it affects students' creativity. This study strategically integrated computational thinking (CT), STEM, and CDIO engineering design, based on Action-Process-Object-Schema (APOS) theory, into a course. This study has adopted a framework to design creative learning materials and examined how this framework impacts students' creativity. This study used a pretest–posttest nonequivalent-groups design. The study investigated a STEM course which had 40 participants (n = 40, male = 11, female = 29) for 12 weeks. 6 weeks were spent using traditional teaching and 6 weeks integrating a CDIO framework into computational thinking. All the students in the course were college students with teacher college backgrounds. To examine the impact of our course, we used a questionnaire to examine the students’ creativity before and after the STEM course was applied. Our results show that our course had a significantly impact on our students’ creativity, particularly in the case of the male students. This finding is consistent with the findings of other research studies. This study also offers some suggestions for teachers who wish to improve their learning materials. © 2022, The Author(s), under exclusive licence to Springer Nature B.V.

关键词： Students

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A Systematic Review in Educational Settings: Numerous Challenges to the Adoption of Augmented Reality 18

A Systematic Review in Educational Settings: Numerous Challe...

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18th International Conference on Ubiquitous Information Management and Communication, IMCOM 2024

作者： Kusuma Zamahsari, Gamal Nur Amalia, Mufidah Rifah, Lailatul Permana, Frihandhika Romadhon, Sahrul Prihatini, Arti Digital Language Learning Center Bina Nusantara University Faculty of Humanities CommunicationScience Department Jakarta Indonesia Digital Language Learning Center Visual Communication Design Bina Nusantara University Faculty of Humanities Jakarta Indonesia School of Computer Science Bina Nusantara University Computer Science Department Jakarta Indonesia Institute of Islamic Religion Madura Indonesian Language Education Study Program Pamekasan Indonesia Indonesian Language Education Faculty of Teacher Training and Education University of Muhammadiyah Malang Malang Indonesia

ISBN: (纸本)9798350331011

The integration of augmented reality has shown to be a successful implementation within the fields of education. The resultant positive impact is highly beneficial and introduces a novel dimension to the realm of education. Nevertheless, the advancement of technology and the evolving demands of education present inherent challenges that must be confronted. This study's main goal is to provide a thorough examination of the difficulties faced when implementing augmented reality (AR) technology in educational settings. This study involves an extensive review of literature focusing on the integration of augmented reality (AR) into educational contexts. Nevertheless, the availability of literature source databases remains constrained. Another researcher has asserted that this study aims to address the limitations previously discussed. The objective of this study is to adequately rectify the limitations. The bibliometric review was carried out utilizing analytical techniques offered by Scopus, while the viewing of bibliometric data was performed employing the Vos viewer application. The findings indicate that there exist multiple factors that stakeholders ought to consider while employing augmented reality within educational contexts. The field of augmented reality (AR) encompasses four separate challenges, namely technological complexities, user-related considerations, AR content creation, and the need for curriculum adjustments to meet the learning demands associated with AR integration. © 2024 IEEE.

关键词： Augmented reality

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UDT:U-shaped deformable transformer for subarachnoid haemorrhage image segmentation

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CAAI Transactions on Intelligence Technology 2024年第3期9卷 756-768页

作者： Wei Xie Lianghao Jin Shiqi Hua Hao Sun Bo Sun Zhigang Tu Jun Liu Hubei Provincial Key Laboratory of Artificial Intelligence and Smart Learning Central China Normal UniversityWuhanChina School of Computer Science Central China Normal UniversityWuhanChina National Language Resources Monitoring and Research Center for Network Media Central China Normal UniversityWuhanChina The First Affiliated Hospital of Dalian Medical University DalianChina State Key Laboratory of Information Engineering in Surveying Mapping and Remote SensingWuhan UniversityWuhanChina Information Systems Technology and Design Pillar Singapore University of Technology and DesignSingaporeSingapore

Subarachnoid haemorrhage(SAH),mostly caused by the rupture of intracranial aneu-rysm,is a common disease with a high fatality *** lesions are generally diffusely distributed,showing a variety of scales with irregular *** complex characteristics of lesions make SAH segmentation a challenging *** cope with these difficulties,a u-shaped deformable transformer(UDT)is proposed for SAH ***,first,a multi-scale deformable attention(MSDA)module is exploited to model the diffuseness and scale-variant characteristics of SAH lesions,where the MSDA module can fuse features in different scales and adjust the attention field of each element dynamically to generate discriminative multi-scale ***,the cross deformable attention-based skip connection(CDASC)module is designed to model the irregular edge char-acteristic of SAH lesions,where the CDASC module can utilise the spatial details from encoder features to refine the spatial information of decoder ***,the MSDA and CDASC modules are embedded into the backbone Res-UNet to construct the proposed *** experiments are conducted on the self-built SAH-CT dataset and two public medical datasets(GlaS and MoNuSeg).Experimental results show that the presented UDT achieves the state-of-the-art performance.

关键词： image segmentation medical image processing

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A Review in E-learning Context: Gamification Elements for Language learning 1

A Review in E-Learning Context: Gamification Elements for La...

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1st International Conference on Technology, Engineering, and Computing Applications, ICTECA 2023

作者： Zamahsari, Gamal Kusuma Romadhon, Sahrul Amalia, Mufidah Nur Rifah, Lailatul Prihatini, Arti Saputra, Ardi Wina Faculty of Humanities Bina Nusantara University Digital Language Learning Center Communication Science Department Jakarta Indonesia Indonesian Language Education Study Program Institute of Islamic Religion Madura Pamekasan Indonesia Bina Nusantara University Faculty of Humanities Digital Language Learning Center Computer Science Department Jakarta Indonesia Bina Nusantara University Digital Language Learning Center Visual Communication Design Faculty of Humanities Jakarta Indonesia Unversity of Muhammadiyah Malang Indonesian Language Education Faculty of Teacher Training and Education Malang Indonesia Widya Mandala Catholic University Indonesian Language Education Study Program Surabaya Indonesia

ISBN: (纸本)9798350360554

Recent advancements in e-learning have highlighted the significance of incorporating gamification into language acquisition processes. It is essential to examine the application of learning game features within classroom settings. The foremost goal of this systematic review of literature is to ascertain and thoroughly delineate the elements of gamification considered suitable for incorporation into environments for language learning. This investigation focuses on two main objectives: firstly, to examine the influence of diverse elements of gamification on the enhancement of language abilities, and secondly, to comprehend how these elements shape the educational approaches and experiences of students in a gamified learning environment. The review methodology employed in this study is a systematic literature review of the current literature to comprehensively analyze and map out the effective utilization of gamification in the context of language teaching. The results of our study demonstrate that the deliberate integration of game features can have a substantial impact on student motivation and engagement. Nevertheless, the efficacy of these components is contingent upon the individual attributes of students and the educational goals in question. The paper finishes by providing advice for customizing gamification tactics to accommodate the varying learner profiles in language teaching. Additionally, it suggests potential areas of future research that can contribute to the ongoing development and enhancement of this pedagogical approach. © 2023 IEEE.

关键词： computer aided instruction

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How Augmented Reality Works: Technical Issues, User Issues, Content Development, and Curriculum Adaptations as Challenges Through Bibliometric Analysis

How Augmented Reality Works: Technical Issues, User Issues, ...

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International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)

作者： Gamal Kusuma Zamahsari Mufidah Nur Amalia Lailatul Rifah Frihandhika Permana Communication Science Department Digital Language Learning Center Faculty of Humanities Bina Nusantara University Jakarta Indonesia Computer Science Department Digital Language Learning Center Faculty of Humanities Bina Nusantara University Jakarta Indonesia Digital Language Learning Center Visual Communication Design Faculty of Humanities Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

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Deep learning models for enhanced in-field maize leaf disease diagnosis

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Machine learning with Applications 2025年 20卷

作者： Nakatumba-Nabende, Joyce Murindanyi, Sudi Department of Computer Science College of Computing and Information Sciences Makerere University Uganda Marconi Machine Learning Lab College of Engineering Design Art and Technology Makerere University Uganda Makerere Center for Artificial Intelligence and Data Science Makerere University Uganda

Maize leaf diseases significantly threaten crop yields, and there is need for accurate, and accessible diagnostic tools. This research addresses this need by developing and evaluating deep learning (DL) and machine learning (ML) models for in-field classification and detection of four critical maize diseases: Maize Leaf Blight, Maize Lethal Necrosis, Maize Streak Virus, and Fall Armyworm damage. Utilizing field imagery captured via digital cameras and smartphones across Uganda, Tanzania, Ghana, and Namibia, we developed and compared custom Convolutional Neural Networks (CNNs), transfer learning (MobileNetV2, InceptionResNetV2), Vision Transformers (ViT), and classical ML models. For detection, a transformer-enhanced YOLOv10 architecture was implemented. Explainable AI (XAI) techniques (Grad-CAM, LIME) were incorporated to ensure model transparency. MobileNetV2 achieved the highest classification accuracy (97%), while the enhanced YOLOv10 reached a mean Average Precision (mAP) of 0.995 for object detection. The best models were integrated into a mobile application deployed on edge devices for real-time diagnosis by smallholder farmers in Uganda, with performance validated through field tests. This study demonstrates a powerful, interpretable, and field-deployable solution combining advanced DL, transformers, and XAI for effective maize health management. © 2025

关键词： Convolutional neural networks

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Infrastructuring digital literacy in K-12 education: A national case study

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International Journal of Child-computer Interaction 2024年 42卷

作者： Andersen, Lars Bo Basballe, Ditte Amund Buus, Lillian Dindler, Christian Hansen, Thomas Illum Hjorth, Mikkel Iversen, Ole Sejer Johannessen, Christian Mosbæk Kanstrup, Katrine Holm Lorentzen, Rasmus Fink Misfeldt, Morten Musaeus, Line Have Nielsen, Camilla Balslev Petersen, Marianne Graves Schrøder, Vibeke Slot, Marie Falkesgaard University College Copenhagen Denmark Program for Learning and Digital Technologies VIA University College Denmark Reseach Center for Didactics and Pedagogy VIA University College Denmark Center for Computational Thinking and Design Aarhus University Denmark Applied Research in Education and Social Science UCL University College Denmark Center for Digital Education University of Copenhagen Denmark Department of Computer Science & Center for Computational Thinking and Design Aarhus University Denmark Aarhus University Department of Computer Science & Center for Computational Thinking and Design Denmark

While much CCI research has dealt with the educational challenge of providing children with knowledge and skills for a digital society, little work has dealt with the strategic challenge of developing and implementing a digital literacy subject in K-12 education. In this paper, we explore how to develop, implement, and sustain a national program on technology comprehension by analyzing the newly established Danish knowledge center for digital technology comprehension. We draw on the concept of infrastructuring to shed light on how to create and sustain the social, material, political and organizational structures that form the basis for introducing the new national initiative. Based on our case, we distill seven propositions that describe more generally how to work strategically with this challenge. © 2024 The Authors

关键词： Digital literacy Infrastructuring Strategy Technology comprehension

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A Systematic Review in Educational Settings: Numerous Challenges to the Adoption of Augmented Reality

A Systematic Review in Educational Settings: Numerous Challe...

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International Conference on Ubiquitous Information Management and Communication (IMCOM)

作者： Gamal Kusuma Zamahsari Mufidah Nur Amalia Lailatul Rifah Frihandhika Permana Sahrul Romadhon Arti Prihatini CommunicationScience Department Faculty of Humanities Digital Language Learning Center Bina Nusantara University Jakarta Indonesia Faculty of Humanities Digital Language Learning Center Visual Communication Design Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia Indonesian Language Education Study Program Institute of Islamic Religion Madura Pamekasan Indonesia Indonesian Language Education Faculty of Teacher Training and Education University of Muhammadiyah Malang Malang Indonesia

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Reproducibility and Geometric Intrinsic Dimensionality: An Investigation on Graph Neural Network Research

arXiv

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arXiv 2024年

作者： Hille, Tobias Stubbemann, Maximilian Hanika, Tom Knowledge & Data Engineering Group University of Kassel Kassel Germany Interdisciplinary Research Center for Information System Design University of Kassel Kassel Germany Information Systems and Machine Learning Lab University of Hildesheim Hildesheim Germany Institute of Computer Science University of Hildesheim Hildesheim Germany

Difficulties in replication and reproducibility of empirical evidences in machine learning research have become a prominent topic in recent years. Ensuring that machine learning research results are sound and reliable requires reproducibility, which verifies the reliability of research findings using the same code and data. This promotes open and accessible research, robust experimental workflows, and the rapid integration of new findings. Evaluating the degree to which research publications support these different aspects of reproducibility is one goal of the present work. For this we introduce an ontology of reproducibility in machine learning and apply it to methods for graph neural networks. Building on these efforts we turn towards another critical challenge in machine learning, namely the curse of dimensionality, which poses challenges in data collection, representation, and analysis, making it harder to find representative data and impeding the training and inference processes. Using the closely linked concept of geometric intrinsic dimension we investigate to which extend the used machine learning models are influenced by the intrinsic dimension of the data sets they are trained *** Codes 68T01 68T07 68T09 51F99 Copyright © 2024, The Authors. All rights reserved.

关键词： Graph neural networks

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