Educational Applications Research Articles

Implementasi Pendidikan Integratif dalam Pembentukan Karakter Insan Kamil di Pesantren Mahasiswa An Najah Purwokerto

Integrative education is an approach that combines various disciplines and skills to shape individuals who are balanced intellectually, morally, and socially. This research aims to explore the implementation of integrative education in the character formation of kamil individuals at the An-Najah Student Islamic Boarding School in Purwokerto. The method used in this research is a qualitative approach with techniques such as in-depth interviews, observation, and documentation study. The research sample consists of caregivers, teachers, and students of the An-Najah Student Islamic Boarding School in Purwokerto. The collected data were analyzed using thematic analysis techniques to identify the application of integrative education in the formation of kamil human character. The research results show that the implementation of integrative education at An-Najah Student Islamic Boarding School includes strengthening the aspects of spirituality, religiosity, entrepreneurship, and leadership. In addition, programs such as Quranic studies, leadership training, entrepreneurship, and habituation to interacting with the surrounding community contribute to shaping the character of students who are virtuous, responsible, and ready to contribute to social life. In conclusion, the integrative education implemented at Pesantren Mahasiswa An-Najah Purwokerto has proven effective in shaping the character of a balanced insan kamil, harmonizing intelligence, morality, and social skills.

Impact of Impulse and Impact Force: An Innovative Approach to Teaching Momentum in Physics

Momentum is a fundamental concept in physics that is pivotal for understanding the motion and behavior of objects. However, its abstract nature often makes it challenging for students to grasp. This study investigates an innovative teaching approach that incorporates impulse and impact force as tools to enhance students' comprehension of momentum. Drawing from the pedagogical philosophy of Prof. Yohannes Surya, who emphasizes practical application and interactive learning, we implemented a set of interactive demonstrations and problem-solving exercises to teach the concepts of impulse and impact force. This study was conducted in the Basic Physics course for the Biology Education Program at Mataram University. The results indicate that emphasizing impulse and impact force improves student understanding, enhances engagement, and bridges the gap between theory and real-world applications in physics education. The findings support the integration of hands-on activities and experiential learning as effective pedagogical strategies in teaching classical mechanics

Exploring the Role of ChatGPT in Science Education for Asia-Pacific and Beyond: a Systematic Review

Abstract This paper consists of a systematic review of the literature on ChatGPT’s application in science education, drawing from studies conducted between January and September 2023, examining the current landscape, challenges, and implications of integrating ChatGPT into science classrooms. Analysis revealed a predominant emphasis on physics and chemistry education, primarily in Europe and the United States, signaling the need for broader exploration across diverse scientific disciplines and geographical regions, particularly in Asia. While studies found that ChatGPT demonstrated proficiency in writing tasks, its grasp of scientific concepts remained limited, offering opportunities for users to develop their critical thinking skills by evaluating and analyzing its responses. Ethical considerations, including plagiarism detection and attribution, emerged as crucial areas for attention, necessitating clear guidelines and awareness initiatives for teachers and students. This paper informs educators and policymakers about the potential benefits and challenges associated with incorporating AI technologies like ChatGPT into science classrooms.

A Systematic Review of Metaverse-Based Learning in Music Education

In recent years, the integration of metaverse technologies into educational settings has gained significant attention. This systematic review aims to investigate the application of metaverse-based learning in music education. The review employs clearly defined inclusion and exclusion criteria, spanning literature from 2019 to 2023. The screening process encompasses key concepts, relevance, and alternative keywords to ensure a broad and comprehensive literature retrieval. The study addresses two primary inquiries: firstly, it categorizes Metaverse-Based Learning (MBL) technologies employed in music education, encompassing virtual reality, augmented reality, artificial intelligence, speech recognition, and other pertinent technologies. Secondly, the research provides a comprehensive exploration of MBL applications within diverse music disciplines and skill areas, including but not limited to music theory and fundamentals, performance and improvisation, vocal perception, music composition, instrumental performance, team performance and ensemble. The article also explores limitations in current research and suggests directions and considerations for future studies. This comprehensive review provides a valuable foundation for further research and exploration of MBL applications in music education.

Research on the Reform and Practice of Computer Professional English Teaching Driven by the OBE Concept

This paper investigates the application of the Outcome-Based Education (OBE) concept in reforming computer professional English instruction. The research is student-output oriented, with the aim of improving students' professional English proficiency by clarifying course objectives and learning outcomes, carefully selecting teaching content and resources, and designing a variety of teaching activities and methods. At the course design level, it delineates the professional English skills that students should acquire and establishes corresponding evaluation standards. At the course implementation level, through case analysis, project practice, and other activities, it fosters students' interest in learning, enhances their practical abilities, integrates ideological and political education into the course, and promotes students' comprehensive development. At the course evaluation level, a diversified evaluation system is established, combining formative and summative evaluations, with a focus on students' self-reflection and continuous improvement. Furthermore, this paper analyzes how to stimulate students' intrinsic learning motivation under the OBE educational concept and discusses the role transformation of teachers as emotional laborers. The ultimate goal is to optimize the computer professional English curriculum system through these reform practices, providing valuable references for the cultivation of IT talents in applied universities.

Investigating the effect of using a home safety training application by caregivers on accident risk management in the elderly.

The increasing elderly population is a complex and globally significant phenomenon impacting various sectors of society, including healthcare. By 2050, it is projected that one-fourth of Iran's population will be elderly. Falls are a major concern among the elderly, leading to physical and psychological injuries and imposing significant financial burdens on healthcare and social systems. This randomized clinical trial was conducted in 2022 in Mashhad. The sample consisted of 66 elderly caregivers, randomly assigned to intervention and control groups. Data collection tools included a demographic information questionnaire and the Home Safety Self-Assessment Tool (HSSAT). The intervention group used a home safety educational application, while the control group received educational brochures. Data were analyzed using SPSS software and appropriate statistical tests. Sixty-two elderly caregivers participated in the study, with a mean age of 72 ± 37.7 years. The chi-square test showed no significant difference in gender distribution between the intervention and control groups (p = 0.060). The majority of participants in both groups had a high school education. Before the training, there was no significant difference in the mean accident risk management scores between the two groups (p = 0.713). Repeated measures ANOVA revealed a significant time effect (F(1, 60) = 408, p < 0.001, Partial η2 = 0.872) and a significant group effect (F(1, 60) = 5, p = 0.025, Partial η2 = 0.081). Additionally, the interaction between time and group was significant (F(1, 60) = 6, p = 0.015, Partial η2 = 0.095), indicating a greater improvement in accident risk management scores in the intervention group compared to the control group. The use of home safety educational applications can effectively reduce the risk of accidents and improve preventive measures management among the elderly. These modern educational tools can alleviate the burden on healthcare systems and save costs associated with in-person training. Future research should continue exploring innovative educational methods to enhance the safety and well-being of the elderly population. This study was registered in the Iranian Registry of Clinical Trials (no. IRCT20210610051532N1) on 07/09/2021.

Desenvolvimento de uma aplicação móvel baseada em jogos para o ensino da Anatomia de estudantes da área da saúde

Introduction: Game-based mobile applications have become powerful tools to aid the learningprocess. In the study of human anatomy, the use of apps has shown promise, providing studentswith an interactive and accessible way to explore and understand the complexity of the humanbody. Objective: This study describes the performance on digital platforms of an application developed to help healthcare students learn human anatomy content. Methods: This mobile application was developed in the Dart programming language and made available for Android and iOS systems. The Anatomania App presented a multifaceted approach to teaching human anatomy, including resources such as quizzes, text lessons, explanatory videos, and flashcards. These screens offer options for adjusting individual preferences and settings. Results: This mobile application had a total of 85,807 downloads and 82,839 registered users. This application had a high frequency of users from Portuguese-speaking countries such as Brazil, Angola, Portugal, and Mozambique. Conclusion: This educational application has shown the potential to promote a more effective and interactive approach to learning anatomy.

A Systematic Literature Review of the Artificial Intelligence Role in Transformative Academic Advising: A Study of AI Applications in Higher Education

A Systematic Literature Review of the Artificial Intelligence Role in Transformative Academic Advising: A Study of AI Applications in Higher Education

Zulkarnain dalam Nilai-Nilai Peradaban Islam di Dunia Pendidikan Islam

Islamic education plays a crucial role in shaping a generation that is not only intellectually intelligent but also morally upright. This study aims to examine the Islamic civilizational values found in the story of Zulkarnain and how these values can be applied in Islamic education. The method used is library research, analyzing various relevant sources of literature. The results of the study indicate a gap between the educational theory that emphasizes moral and spiritual values and its implementation in everyday educational practice. The story of Zulkarnain offers guidance on leadership based on faith, justice, and wisdom, which is highly relevant for application in education. Additionally, the broader concept of jihad, encompassing moral and intellectual struggle, is also highlighted in this study. This research recommends integrating these values into the Islamic education curriculum to strengthen students' character, foster a balance between knowledge and faith, and promote social awareness. By applying the values derived from the story of Zulkarnain, Islamic education is expected to produce a generation capable of facing the challenges of the times with moral integrity and a spirit of positive contribution to society.

The Impact of Artificial Intelligence (AI) Integration on Student Engagement and Learning Outcomes of Tertiary Physical Education Students

Artificial intelligence (AI) has shown a unique ability to tailor and enhance personalized learning experiences. However, its application in physical education is limited. This study aims to investigate the effect of the AI-driven application on the learning outcome and student engagement among physical education students in higher education. A quasi-experimental two-group design was used to determine differences between pre-test and post-test scores. Standardized tests that measured musculoskeletal strength and endurance were utilized. The Utrecht Work Engagement Scale for Students (UWES-9S) assessed student engagement. For eight weeks, the experimental group (EG) had an AI-driven physical activities while the control group (CG) followed the usual PE class. Post-test scores showed the experimental group significantly improved the learning outcome (p&lt;0.001). Engagement scores were also significantly higher in EG (p &lt; 0.01). Consequently, The CG showed a significant decrease in student engagement while the increase in learning outcome is not statistically significant. These findings suggest that AI-driven applications positively affect students’ physical fitness and engagement. Further research is recommended to fully implement AI in classrooms, addressing student and teacher literacy and ethical concerns to maximize its potential in the PE curriculum.

Open innovation: the experience of NaturTEC-Kids Living Lab in the co-design of a video game to engage children and adolescents with nature

ABSTRACT The aim of this paper is to describe and analyze the process of co-creation and evaluation of an educational video game application called “Natur-Kingdom,” developed within the framework of the NaturTEC-Kids Living Lab with the active participation of children and adolescents. This article aims to demonstrate how the integration of end users into the creation process of this techno-educational solution enabled the identification and adaptation of key elements, focusing on technology’s role in connecting children to the natural environment, fostering ecological awareness, and promoting pro-environmental behaviors. Additionally, it aims to highlight the effectiveness of co-design, testing, and evaluation sessions, in identifying areas for improvement and optimization in the design, ensuring that the final technological system meets its pedagogical objectives and remains accessible and appealing to its target audience.

Educational Innovation of Using Artificial Intelligence in University Education: a Comprehensive Student Survey

This paper investigates the adoption and potential integration of artificial intelligence (AI) within higher education, examining its impact on educators and learners through detailed perspectives gathered from university students. It provides an extensive literature review outlining the dynamics, characteristics, and the application of AI in the educational sector. The primary research included a meticulously designed survey distributed among active students to assess their current experiences, perceived benefits, and concerns having AI-driven materials and tools in educational environments. Based on the learners’ responses a generally positive attitude towards the use of AI was revealed among the university students. They expressed a strong belief in their ability to learn with and utilize AI tools effectively, acknowledging the significant advantages AI can offer in enhancing educational experiences and providing personalized academic support. This optimistic view is, however, tempered by significant concerns, particularly regarding ethical issues and the potential shift away from traditional pedagogical methods. The data also showed that the participants highly valued the effectiveness and accessibility provided by the AI-enhanced instructional materials and teaching methods. Despite this, there remained a substantial degree of apprehension surrounding the ethical implications and safety of AI applications in education. This paper makes a significant contribution to the field of educational technology by providing primary research on AI-related challenges and considerations. It highlights the critical importance of maintaining a balanced approach that prioritizes technological innovation alongside ethical considerations and human-centered practices in the development and integration of AI into higher education, advocating for responsible use of technology.

An eMERGEing definition of patient engagement in genetic counseling.

The concept of patient engagement has been widely studied for decades in the fields of medicine, nursing, psychology, social science, public health, and policy, and increased levels of patient engagement have been shown to improve health outcomes and strengthen reported experiences of care. Despite this, little research has been done to evaluate what patient engagement looks like within the context of a genetic counseling session. Additionally, there is limited literature from researchers based in the United States that aims to better understand patient engagement in non-English-speaking populations. This study is part of a larger protocol entitled "Multilingual Education Research in Genetic counseling Engagement (MERGE)," and it explores the elements that make up patient engagement in the context of pre-test genetic counseling for hereditary cancer risk among English- and Spanish-speaking patients. Eligible patients were 18 years or older at the time of their genetic counseling visit, had a personal or family history of breast cancer (if English-speaking) or a personal or family history of any cancer (if Spanish-speaking), and had not previously been seen for hereditary cancer genetic counseling. Out of 40 enrolled participants, 60% of patients (24/40) were English-speaking, while 40% of patients (16/40) were Spanish-speaking. In this study, English transcripts were generated from audio-recordings of clinical, standard-of-care genetic counseling sessions. The transcripts were qualitatively coded by two raters using an inductive approach, allowing for big Q thematic analysis. Six major themes were identified, describing ways in which patients show engagement and participate in decision-making during a pre-test genetic counseling session. All data were analyzed collectively, as assessment of differences between the language groups was not a primary analysis question. From the six themes, a definition of patient engagement in genetic counseling is proposed such that it consists of four "components" that together promote shared decision-making: Application of Education; Expression of Emotions; Feelings of Ownership; and Therapeutic Alliance. This working definition of patient engagement in genetic counseling has overlap with previous research on patient engagement in healthcare and with the Reciprocal-Engagement Model of genetic counseling. Future research on this topic can investigate methods for measuring and improving patient engagement across different settings and service delivery models.

Nurses' Knowledge and Skills After Use of an Augmented Reality App for Advanced Cardiac Life Support Training: Randomized Controlled Trial.

Advanced cardiac life support (ACLS) skills are essential for nurses. During the COVID-19 pandemic, augmented reality (AR) technologies were incorporated into medical education to increase learning motivation and accessibility. This study aims to determine whether AR for educational applications can significantly improve crash cart learning, learning motivation, cognitive load, and system usability. It focused on a subgroup of nurses with less than 2 years of experience. This randomized controlled trial study was conducted in a medical center in southern Taiwan. An ACLS cart training course was developed using AR technologies in the first stage. Additionally, the efficacy of the developed ACLS training course was evaluated. The AR group used a crash cart learning system developed with AR technology, while the control group received traditional lecture-based instruction. Both groups were evaluated immediately after the course. Performance was assessed through learning outcomes related to overall ACLS and crash cart use. The Instructional Materials Motivation Survey, System Usability Scale, and Cognitive Load Theory Questionnaire were also used to assess secondary outcomes in the AR group. Subgroup analyses were performed for nurses with less than 2 years of experience. All 102 nurses completed the course, with 43 nurses in the AR group and 59 nurses in the control group. The AR group outperformed the control group regarding overall ACLS outcomes and crash cart learning outcomes (P=.002; P=.01). The improvement rate was the largest for new staff regardless of the overall learning effect and the crash cart effect. Subgroup analysis revealed that nurses with less than 2 years of experience in the AR group showed more significant improvements in both overall learning (P<.001) and crash cart outcomes (P<.001) compared to their counterparts in the control group. For nurses with more than 2 years of experience, no significant differences were found between the AR and control groups in posttraining learning outcomes for the crash cart (P=.32). The AR group demonstrated high scores for motivation (Instructional Materials Motivation Survey mean score 141.65, SD 19.25) and system usability (System Usability Scale mean score 90.47, SD 11.91), as well as a low score for cognitive load (Cognitive Load Theory Questionnaire mean score 15.42, SD 5.76). AR-based learning significantly improves ACLS knowledge and skills, especially for nurses with less experience, compared to traditional methods. The high usability and motivational benefits of AR suggest its potential for broader applications in nursing education. ClinicalTrials.gov NCT06057285; https://clinicaltrials.gov/ct2/show/NCT06057285.

A Modified Green Star Area (MoGSA) and software to assess greenness of reactions in the chemistry laboratories.

The environmental and health impacts of chemical processes have been a growing concern, leading to the establishment of Green Chemistry principles. Introducing new metrics for the assessment of methods' greenness is crucial to evaluate the exerted efforts to conserve the environment. In this work, we introduce a Modified Green Star Area (MoGSA) and software to assess the greenness of chemical reactions in laboratory settings. MoGSA refines the traditional Green Star Area Index (GSAI) by allowing users to selectively apply specific principles of Green Chemistry based on their relevance to the chemical process being evaluated. This approach addresses the limitations of GSAI, which often lacks clear boundaries between green and non-green practices and does not account for the varying applicability of the 12 Green Chemistry principles across different contexts. Through comparative case studies on catalytic stereoselective reduction of acetophenone, MoGSA demonstrates its utility in providing a more refined and flexible assessment, enhancing both educational and industrial applications of sustainable chemical practices. The software is available as an open source at https://bit.ly/MOGSA.

Empowering Diversity by Building Inclusive Software Engineering Projects with Large Language Models

The integration of emerging AI technologies, particularly Large Language Models (LLMs), is fundamentally reshaping the landscape of software engineering. LLMs offer a wide array of capabilities that can enhance various aspects of software development, including design assistance, automated code analysis and synthesis, and testing. Consequently, their integration into software engineering practices holds the potential to greatly improve efficiency and code quality, marking a notable paradigm shift towards the creation of more intelligent and adaptive systems. This allows the definition of an extended perspective when establishing requirements for building software engineering solutions by incorporating evidence from literature resources and practice. By synthesizing requirements and evidence from scholarly and practitioner sources using LLMs, software engineers can ensure that their solutions are not only technically sound but also align with best practices in fostering social norms and values like inclusivity. Adopting such an approach supports the creation of responsible and inclusive educational software that caters to diverse learning needs and promotes equitable access to educational resources. Moreover, by using LLMs to inform decision-making throughout the software development lifecycle, software engineers can iteratively refine and enhance their solutions based on emerging research findings, thereby ensuring continuous improvement in fostering inclusive educational environments. Hence, this research aims to develop a novel evidence-based software engineering method informed by insights from scientific literature. As a use case, we design and implement a dyslexia-oriented educational software application that supports children in learning to read, guided by this new methodological approach.

Enhancing pro-environmental behavior through nature-contact environmental education: an empirical analysis based on randomized controlled experiment design

Environmental education is vital for promoting pro-environmental behavior, and nature-contact environmental education has progressively emerged as an important form of environmental education. Therefore, exploring the effects and mechanisms of nature-contact environmental education is crucial to enhancing pro-environmental behavior. This manuscript focuses on the Qinling ecological environmental education course at a Chinese university, which exemplifies a form of nature-contact environmental education. The research employs the randomized controlled experimental design as the research methodology. A total of 112 students who participated in the course served as the study sample, with the aim of investigating whether nature-contact environmental education can effectively improve students’ pro-environmental behavior. Additionally, the study also explores the underlying mechanisms driving this effect. The findings indicate that nature-contact environmental education significantly contributes to improving students’ pro-environmental behavior. Furthermore, environmental attitudes and environmental responsibility are identified as key mediators in the relationship between nature-contact environmental education and pro-environmental behavior. These conclusions provide valuable insights for both theoretical research and practical applications of environmental education and pro-environmental behavior.

A Low-Cost Open-Source Uniaxial Tensile System for Soft Tissue Testing

The evaluation of soft tissue biomechanical properties is of paramount importance not only for a comprehensive understanding of human physiology and physiopathology, but also in the research and development of bio-compatible artificial tissues with viscoelastic properties. Contrarily to standard tensile testing devices, a system intended for biomaterials testing should consider low stress and high strain ranges, characteristic of human tissues; moreover, such a system should enable the ex vivo simulation of biological environmental conditions. Commercial solutions address these challenges, although they are expensive for most academic and research institutions. This study presents a low-cost open-source design solution for soft tissue tensile testing, offering an affordable solution, yet without compromising the high quality and precision of the results. The proposed uniaxial tensile system allows for sample testing at room temperature as well as in a temperature-controlled liquid environment. Moreover, custom clamps ensure the fixation of tissue samples without slipping or tearing. System validation is performed using the tensile testing of springs and 3D-printed soft polymeric samples, demonstrating accurate results compared to the available data. The system is suitable for educational, research, and development applications.

Research on Interactive Efficiency and Experience of Intelligent Education Platform

To explore online user behavioral habits from the perspectives of cognitive efficiency and emotional experience, as well as to provide objective and quantitative physiological evidence for the design of intelligent online education platforms and the technological application of Education 4.0. In this paper, 45 subjects were selected and recruited using a combination of eye-tracking and questionnaires, with a male-to-female ratio of 1:2. The results show that: (1) Intelligent interaction modes significantly impact online users’ positive emotional arousal compared to traditional interaction modes; (2) Diversified presentation of interactive information can help online learners understand collaborators’ opinions more quickly and optimize the experience of online peer Interaction; (3) Multi-channel interaction can provide learners with a better emotional experience while improving the efficiency of interacting with instructional information. This paper provides an objective design basis for intelligent platforms like online teaching and conference software in the context of information technology.

Determining the Educational Needs of Students Regarding the Use of Augmented Reality Applications in Museums

&lt;p dir="ltr"&gt;&lt;span&gt;In recent years, augmented reality (AR) applications, which have emerged as an indispensable technological element in many fields, have also begun to be used as an important learning tool in museum environments. It is seen that AR applications, which enable permanent learning especially by using technology, have positive effects on students. In this context, the aim of this research is to determine the educational needs of students regarding the use of augmented reality applications in museums. The research was conducted using the screening model from quantitative method designs. The study group consists of university students (n=99). In the spring semester of 2023-2024, students taking the museum education applications course and the Digital Literacies and Ethics course were determined from purposeful samples using the criterion sampling method. The quantitative data of the study were obtained with a 5-point Likert-type educational needs survey. Quantitative data were interpreted according to the mean score (MEAN) values in the distribution of the survey items. According to the research findings, students need training for the use of Smartify, Museum Alive, Layar, Wonderscope, ARLOOPA, ARKit, Vuforia Engine, ARCore applications. Based on these findings, in future studies, students will be asked to design augmented reality applications for museums by providing training on the relevant applications.&lt;/span&gt;&lt;/p&gt;