Educational Applications Research Articles

A Prototype "Smart" 3-Dimensionally Printed Model Showcasing Interactivity: Implementing Voice Command for the Ventricular and Cisternal Systems.

The next step in the evolution of static 3-dimensionally (3D) printed models may be the creation of "smart" models, where subcomponents can be seamlessly interacted with through a feedback mechanism, with potential applications in trainee education and patient counseling. Considering the complexity of the ventricular and cisternal systems, they were chosen for segmentation, using Materialize InPrint with outward hollowing using 2.5-mm wall thickness. After 3D printing, dedicated holes were drilled for placement of wired light emitting diodes (LEDs) in anatomical landmarks and connected to an Arduino Uno microcontroller. This was coupled to a Bluetooth transceiver for communication via an Android cellular device. C++ was used to match each LED to a particular pin number on the Arduino board. When the user verbalizes a structure, the Bluetooth sends a command to the Arduino, where the code looks for the "trigger word," subsequently sending a signal to illuminate the corresponding LED. The system requires wireless/cellular data for communication with the voice recognition engine on the Google server. The described method may serve as a prototype for when 3D printers are capable of simultaneously printing conductive material or wiring along with the main material within a model to allow for integration of feedback devices.

A systematic review of the impact of artificial intelligence on educational outcomes in health professions education

BackgroundArtificial intelligence (AI) has a variety of potential applications in health professions education and assessment; however, measurable educational impacts of AI-based educational strategies on learning outcomes have not been systematically evaluated.MethodsA systematic literature search was conducted using electronic databases (CINAHL Plus, EMBASE, Proquest, Pubmed, Cochrane Library, and Web of Science) to identify studies published until October 1st 2024, analyzing the impact of AI-based tools/interventions in health profession assessment and/or training on educational outcomes. The present analysis follows the PRISMA 2020 statement for systematic reviews and the structured approach to reporting in health care education for evidence synthesis.ResultsThe final analysis included twelve studies. All were single centers with sample sizes ranging from 4 to 180 participants. Three studies were randomized controlled trials, and seven had a quasi-experimental design. Two studies were observational. The studies had a heterogenous design. Confounding variables were not controlled. None of the studies provided learning objectives or descriptions of the competencies to be achieved. Three studies applied learning theories in the development of AI-powered educational strategies. One study reported the analysis of the authenticity of the learning environment. No study provided information on the impact of feedback activities on learning outcomes. All studies corresponded to Kirkpatrick’s second level evaluating technical skills or quantifiable knowledge. No study evaluated more complex tasks, such as the behavior of learners in the workplace. There was insufficient information on training datasets and copyright issues.ConclusionsThe results of the analysis show that the current evidence regarding measurable educational outcomes of AI-powered interventions in health professions education is poor. Further studies with a rigorous methodological approach are needed. The present work also highlights that there is no straightforward guide for evaluating the quality of research in AI-based education and suggests a series of criteria that should be considered.Trial registrationMethods and inclusion criteria were defined in advance, specified in a protocol and registered in the OSF registries (https://osf.io/v5cgp/). Clinical Trial number: not applicable.

Faculty development programmes: Essential for empowering health professional educators to blend AI in medical education

Artificial Intelligence is an area of computer science thatemphasizes the use of machine learning algorithms tomimic human thinking and problem-solving. The fastexpansion of AI in today’s world can be credited to theprogress of algorithms, reasonable graphic processorsand expanded annotated databases.1 AI is an essential tool in addressing complex healthcareissues worldwide. However, AI acceptance andintegration in medical education took time, andsignificant advancements and broader adoption becamemore prominent after 1980s. Also, the application of AI inmedical education has grown significantly over the past20 years, as shown by the rising volume of publications inthis area. Given the widespread use of AI in many facets ofmedical practice, educational programmes pertinent tothis field have to be created and put into place inacademic institutions.2 Continued...

Development of a 3D-Printed Wistar Rat Model From Digital Imaging and Communications in Medicine (DICOM) Data for Medical Education and Research Applications

Development of a 3D-Printed Wistar Rat Model From Digital Imaging and Communications in Medicine (DICOM) Data for Medical Education and Research Applications

Triangular Fibrocartilage Complex: An Anatomical and Medical Illustration Study.

Recent advances in small-joint arthroscopy and cutting-edge magnetic resonance imaging systems have enabled orthopedic surgeons to perform more complex repairs of the wrist. Such repairs can include those of the triangular fibrocartilage complex (TFCC) of the wrist that necessitates a reappraisal of its morphometry with special emphasis on the relationship between its articular disc (AD) and surrounding tissues. The TFCC AD is a fibrocartilaginous, biconcave structure located between the ulnar styloid process and the carpal bones of the wrist. We carefully dissected and measured the ADs of 58 wrists from 34 embalmed cadavers (20 females, 14 males) and fabricated three-dimensional biofidelic plastic models of them. Precise measurements of the ADs were taken that included length, width, and thickness at five standardized points. For the entire sample, the mean length and width of left ADs were 18.09 and 9.60 mm, respectively, while right ADs averaged 18.63 mm in length and 9.93 mm in width. Significant differences were found between male and female ADs on the right and left sides (p < 0.05). After the data were further analyzed and casts fabricated, a medical illustrator created novel anatomical illustrations to clarify structures that form the TFCC and help illuminate its complex anatomy. Our study provides valuable morphometric data of the AD and detailed novel medical illustrations of the entire TFCC, enhancing our understanding of its morphology for both educational and clinical applications.

Pengaruh Penggunaan Gadget terhadap Pembentukan Nilai Pendidikan Agama di MI Muhammadiyah Bolon

This article discusses the influence of gadget use on the formation of religious education values ​​in schools. In today's digital era, the use of gadgets by students is increasingly widespread, which can have a significant impact on the learning process, including the formation of character and religious values. This study examines the positive and negative impacts of gadget use on students' understanding and appreciation of religious values ​​taught in schools. Through a qualitative approach and data analysis from observations and interviews with students, teachers, and parents, it was found that uncontrolled gadget use can distract students from religious education materials, affect their social attitudes, and reduce the quality of their interactions in a religious context. On the other hand, with proper utilization, gadgets can be an effective tool to support religious learning, such as through access to religious education applications and relevant digital materials. This article suggests the need for stricter regulations regarding the use of gadgets at home and the importance of the role of teachers and parents in providing guidance to students to use technology wisely in the context of forming religious education values.

Pregnant Women's Knowledge And Attitudes About High-Risk Pregnancy: The Effect of Using the JIPH Educational Application

Pregnant Women's Knowledge And Attitudes About High-Risk Pregnancy: The Effect of Using the JIPH Educational Application

The impact of sectional swimming classes on the physical fitness and health of applicants for general secondary education

Swimming occupies a special place in the system of state physical education, primarily due to its health-improving effects, which is very important in the situation that has developed with the health of applicants for secondary education. The purpose of the study was to test the impact of swimming classes on the physical fitness of children aged 12-13 years in a school section. Swimming classes in the experimental group had their own methodological features taking into account adolescence - special attention was paid to individual work with the swimmer, an individual approach was used to students in group work. In the experimental group, swimming lessons were conducted in two stages. The first stage was aimed at developing the technique of a certain swimming method. The second stage gradually increased the volume of swimming in accordance with the child's personal capabilities in order to improve the physical fitness of younger adolescents. A positive impact of sectional swimming classes on the physical fitness indicators of younger adolescents aged 12-13 years was established, as evidenced by statistically significant (p≤0.05) results of all components of physical fitness of applicants for general secondary education. The results of general endurance of younger teenagers, as well as speed and power abilities, agility and strength, received the greatest increase. The work capacity, functioning of the cardiovascular and respiratory systems improved, and the overall health level of younger teenagers increased.

Methodological Aspects of Ensuring the Formation of Professional Competencies of Applicants for Higher Medical Education in Physical Therapy and Ergotherapy in the Context of the Implementation of Technologies of Health and Recreational Motor Activity

In his article authors highlight the results of scientific research on the state of health of the population of Ukraine and the ever-growing number of people with disabilities as a result of domestic, industrial, sports injuries and injuries caused by the aggressor country, as well as complications after various diseases; indicate the urgent need to train specialists in physical therapy and ergotherapy who are able to provide highly qualified assistance in order to eliminate or maximize the possible restoration of impaired human functions and systems; emphasize the priority of improving the physical training of applicants for higher medical education by means of health and recreational technologies of motor activity.

Application Introduction and Learning Geometry of Space to Student Elementary School Using Method Rolling Hash Based on Android

Along with technological advancements, smartphones have evolved from being just a means of communication to now being multifunctional devices that reflect the status of their users and offer various features, such as cameras, music and video players, video calls, voice recorders, games, and internet access. These innovations' progress made them widely used by humans in their activities. One of the innovations that utilizes this technology is a building space introduction and learning application explicitly designed for elementary school students, using the Android-based Rolling Hash method. This application is an interactive educational tool that provides comprehensive information about building spaces, explains the various forms of building spaces, provides applicable examples, and offers solutions to related problems. This application's primary focus is implementing the Rolling Hash algorithm for string matching, which was chosen for its ability to perform fast and accurate matching in answering questions. By implementing this algorithm, the application can efficiently handle various questions involving strings, enhancing students' learning experience. This application uses Java programming language with ADT IDE for Eclipse and SQLite as a database system to store and manage data. The result of this final project is a learning application that not only facilitates the introduction of building space concepts to elementary school students but also shows how modern technology can improve learning methods. The Rolling Hash algorithm proved its effectiveness in fast and precise string matching, providing an optimal solution for this educational application and presenting a model of how technological tools can support primary education innovatively and practically.

Development of an educational and monitoring mobile application for pregnant women in Nigeria

IntroductionNigeria accounts for 20% of all maternal mortality. Recently, more mobile health technology (mHealth) interventions are emerging in sub-Saharan Africa. The potential of mobile applications in maternal care has not been explored in Nigeria. This study describes the process of design, development, and testing of an educational and monitoring mobile application for pregnant women in Nigeria.MethodUsing a user-centered design, we conducted semi-structured interviews at each stage of mobile application development with pregnant women attending antenatal clinics in Oyo State, Nigeria. The first interview focused on empathy, followed by alpha and beta testing of the mobile application prototype at health facilities.ResultsThe barriers to accessing perinatal care were the distance to the nearest facility (mean = 3.3 km), lack of perinatal education, and cost. The low-fidelity prototype of the mobile application was designed with five features. Mobile applications increased the level of knowledge of preeclampsia by 179%. User feedback from alpha testing informed the development of a high-fidelity prototype for beta testing. Ninety-five percent (95%) of pregnant women surveyed were willing to download the mobile application. The final application developed was uploaded to the Google Play Store (MyBelle pregnancy application).ConclusionmHealth applications have the potential to increase access to prenatal information and services in Nigeria and may reduce maternal and childhood mortality. This study has described the process of development of the first indigenous mobile application specifically for pregnant women in Nigeria using a user-centered design thinking approach.

Cultural Harmonization through Islamic Education: between Religious Moderation in Javanese Traditions in Penginyongan

The Penginyongan community, characterized by its egalitarian and open culture, possesses a unique cultural configuration distinct from the general Islamic traditions in Java. Their moderate and accommodative religious attitudes have prompted further study on the processes of cultural acculturation and assimilation with Islam. This research aims to explore the cultural expressions of the Penginyongan community and how these integrate with Islamic values, while also formulating a framework for culturally-based religious moderation and its application in Islamic education. Through an ethnographic approach, the findings reveal that Islam is harmoniously embraced within Penginyongan culture, as reflected in traditions such as lengger, ebeg, sedekah laut, and sedekah bumi. These cultural practices adapt without losing their local essence, creating a synergy between local wisdom and Islamic teachings. The egalitarian and open nature of the Penginyongan people demonstrates significant potential as a prototype for culturally-based religious moderation, contributing meaningfully to the development of an inclusive and culturally rooted model of religiosity and Islamic education in Indonesia.

WVREA heuristics: A comprehensive framework for evaluating usability in wearable virtual reality educational applications (WVREA)

WVREA heuristics: A comprehensive framework for evaluating usability in wearable virtual reality educational applications (WVREA)

STEM application in education: Implication of STEM computational paradigm on employment prospects

The rapidly advancing fields of science, technology, engineering, and mathematics (STEM) have contributed to the largely automated diversities in educational technologies. This has impacted several industries and fundamentally changed how academic businesses are conducted. Machine learning and artificial intelligence (AI) have completely changed how services are distributed across the digital ecosystem. Base on the STEM-related technologies, the global digital economy and the educational sector are becoming increasingly computerized. Computers are extensively used as educational pedagogy tools to improve learning quality and student participation. Teachers can use computer-based audio, video, and visual aids to build lesson plans. Using Microsoft Power Point to produce and deliver electronic presentations to audiences is a great example of interactive education. These electronic presentations will be displayed on the screen with multimedia projectors in the classrooms where all students will be engaged in the modern teaching methodology. Video effects make lectures more impactful, and multimedia presentations are entertaining to watch and listen to. The use of computers in classrooms will also have an impact on teaching and learning methodologies and technological breakthroughs. Since computer technology now integrates all forms of media for interactive interaction, it has seen advances in all aspects of human managing responsibility. By employing ChatGPT as a writing coach, students can improve their written communication abilities. With ChatGPT, students can write essays, reports, or creative works by creating outlines, receiving feedback on their drafts, and refining their language and style. For example, when composing a persuasive essay, a student may consult ChatGPT for guidance on how to strengthen their argument or clarify their understandings. This paper provided STEM computational view on the academic business in the ongoing educational technology extreme automation.

Development of an artificial intelligence system to indicate intraoperative findings of scarring in laparoscopic cholecystectomy for cholecystitis.

The surgical difficulty of laparoscopic cholecystectomy (LC) for acute cholecystitis (AC) and the risk of bile duct injury (BDI) depend on the degree of fibrosis and scarring caused by inflammation; therefore, understanding these intraoperative findings is crucial to preventing BDI. Scarring makes it particularly difficult to perform safely and increases the BDI risk. This study aimed to develop an artificial intelligence (AI) system to indicate intraoperative findings of scarring in LC for AC. An AI system was developed to detect scarred areas using an algorithm for semantic segmentation based on deep learning. The training dataset consisted of 2025 images extracted from LC videos of 21 cases with AC. External evaluation committees (EEC) evaluated the AI system on 20 cases of untrained data from other centers. EECs evaluated the accuracy in identifying the scarred area and the usefulness of the AI system, which were assessed based on annotation and a 5-point Likert-scale questionnaire. The average DICE coefficient for scarred areas between AI detection and EEC annotation was 0.612. The EEC's average detection accuracy on the Likert scale was 3.98 ± 0.76. AI systems were rated as relatively useful for both clinical and educational applications. We developed an AI system to detect scarred areas in LC for AC. Since scarring increases the surgical difficulty, this AI system has the potential to reduce BDI.

Enhancing difficult airway management training: the role of virtual reality and adaptive learning

Emergency physicians play a central role in healthcare. They often must make quick and accurate decisions to save patients’ lives. Among the critical procedures they have to master is difficult airway management (DAM), a procedure required to establish and maintain a patient’s airway for adequate ventilation and oxygenation. To ensure optimal proficiency in DAM, the clinical skills that comprise this procedure must be regularly practiced and updated. However, traditional training approaches present significant organizational challenges in terms of time and cost. In response to these issues, we have developed an innovative education and training application employing immersive Virtual Reality (VR) for teaching basic to advanced DAM procedures, supported by an Adaptive Learning system. To evaluate the effectiveness of our DAM training system, we conducted experiments with a control group trained using traditional methods and two VR subgroups, one with and one without the Adaptive Learning component. Our results show that simulating the DAM procedure in VR is effective in improving students’ knowledge and produces comparable learning outcomes to traditional teaching methods. Interestingly, our study did not provide conclusive evidence that the adaptive design was superior to the non-adaptive one in terms of knowledge and acquisition of skills. However, it demonstrated greater efficiency, particularly in reducing training time.

The Implementation of Internet of Things (IOT) In Education to Improve The Quality of Learning

The rapid development of the Internet of Things (IoT) has transformed various industries, and education is no exception. The implementation of IoT in education presents significant opportunities to enhance the quality of learning by creating interactive, connected, and personalized educational environments. This paper explores the potential benefits and challenges associated with integrating IoT technologies into educational systems. By leveraging smart devices, sensors, and real-time data, IoT can improve learning experiences, increase student engagement, and optimize classroom management. IoT-enabled solutions, such as smart classrooms, remote learning tools, and personalized learning pathways, provide real-time feedback and insights, helping educators track student progress and tailor instruction to individual needs. Additionally, IoT enhances collaboration and communication among students, educators, and educational institutions. However, the successful integration of IoT requires overcoming challenges related to infrastructure, security, and privacy concerns. This paper discusses the current trends in IoT applications in education, examines case studies, and provides recommendations for effectively implementing IoT to improve educational outcomes. Ultimately, the adoption of IoT has the potential to revolutionize learning by making it more interactive, efficient, and student-centered.

Exploring Research Trends in Thai Learners Studying Korean via Topic Modeling and Keyword Network Analysis

Background and Objectives: The Korean language education in Thailand has increasingly spread. Research on Thai learners studying Korean has also been continually conducted. The number of students majoring in Korean at the undergraduate level and subsequently pursuing graduate studies in Korean, Korean literature, and Korean culture has also increased, leading to the dissemination of master’s and doctoral theses. This study aims to study the trends and current situation of research on Korean language teaching and learning for Thai learners using Topic Modeling and Keyword Network Analysis. By doing so, the study aims to present important information and suggest guidelines in developing Korean language teaching and learning in Thailand. Methods: This study examined 283 research papers and theses on Korean language education for Thai learners published between 1998 and September 2024. The dataset includes 149 theses, 93 KCI-indexed articles, and 41 TCI-indexed articles. The data were collected using the keywords relating to Korean language education for Thai learners from RISS (Research Information Sharing Service) and Thai Journals Online. Then Topic Modeling and Keyword Network Analysis was used to analyze topics and research patterns. Results: The Topic Modeling Analysis revealed that the research topics about curriculum and textbook development have consistently been of interest until now. In addition, the topics about language skills, including pronunciation, grammar, and pragmatics have been raised as research issues in various aspects. Especially, after 2020, there has been an increase in publishing the research papers on teacher training and learner-related factors such as anxiety and learning strategies. The Keyword Network Analysis showed the words "comparison," "use," "pattern," and "process" were used in many research topics. Application of this study: The continuing interest in curriculum and textbook development from the above study results highlights the need for diverse educational information tailored to the characteristics of Thai learners. Additionally, the growing focus on individual learner factors reflects the necessity of addressing learners' challenges and creating learning environments and effective teaching methods. In addition, the results of the Keyword Network Analysis suggest the necessity of conducting more cross-cultural studies that align with the special characteristics of Thai learners and applying these findings in educational settings. Conclusions: This study examined trends in Korean language education research for Thai learners, highlighting the importance of adapting to Thailand’s changing educational landscape. As Korean language education progresses in secondary and higher education, continued research and practical applications are essential. The rising interest among Thai students emphasizes the need for tailored instructional materials, innovative strategies, and learner-centered approaches. Integrating digital learning and addressing specific linguistic challenges will enhance the learning experience. Bridging theoretical research with classroom practice can ensure that Korean language education remains effective and responsive to the diverse needs of Thai learners better.

Artificial intelligence and transfusion education, research and practice: The view from the ISBT Clinical Transfusion Working Party.

Artificial intelligence (AI) has been gaining increasing interest in healthcare. During the 2024 International Society of Blood Transfusion (ISBT) Congress, the Clinical Transfusion Working Party (CTWP) conducted a session to explore the exciting intersection of AI in transfusion medicine (TM) practice, education and research. We report here the potential applications and the session outcome. A pre-workshop survey explored the participants' demographics and areas of use of AI and whether they have had any AI-specific training or education. The workshop included presentations on the regulatory aspects of AI use and its application in TM practice, education and research. These were followed by round-table discussions to explore participants' experience and concerns. The workshop had 72 attendees, with 38% falling in the 36-45-year age group. A total of 70% indicated the use of AI, but only 12% reported having specific training or education. Participants expressed interest in different potential applications but also shared concerns on over-reliance, potential loss of skills, the accuracy of provided information and content plagiarism. The findings of theworkshop highlight the need for training, educational resources, standards and regulatory frameworks to guide the use of AI tools in the field of TM.

Exploring the Role of ChatGPT in Transforming the Education Ecosystem

Since its emergence, ChatGPT has emerged as a transformative technology with significant implications for the education ecosystem. This paper discusses the author's attitude towards ChatGPT through three aspects: assessing the potential it brings to the educational ecosystem (including its impact on learners, educators, and the educational system), how educational focus will adapt to the times, and by examining the reasons for the integration of ChatGPT into educational applications through the context of early childhood education, which is the starting point of school education. The challenge of how education adapts to and leads the development of the times is always a difficult issue. The focus of this paper is still centered around the "essence of education". Regardless of the emergence of new methods, the ultimate goal of education is to cultivate individuals with sound physical and mental development