Abstract :

Math educators are presented with a challenge not only on the technological and design level of their courses but also in keeping students engaged throughout the classes. In this context, gamification has been shown to increase engagement and motivation, and its implementation could be crucial. Using gamification strategies as a program, this study aims to increase students' motivation, attitude, engagement, and knowledge in math courses for high school students. In four classes of fundamentals of math (112 students), a gamification strategy was employed during a year in two separate academic semesters. Seven gamification activities were implemented in the course from the 8th week until the 15th week of the semester, which the students designed collaboratively. The activities were of varied types, including Kahoot, Quizizz, Jeopardy, and Dynamics. Students responded to an adapted MAKE Framework questionnaire (a numerical Likert scale) to measure Motivation, Attitude, Knowledge, and Engagement to evaluate their opinions of the gamification strategy. According to the results of the questionnaire, the students' perception of skill improvement was present, with nearly all subcategories expressing favorability with scores over 78%. The data obtained displayed high reliability: motivation (α=0.81), engagement (α=0.92), attitude (α=0.91), and knowledge (α=0.88). This demonstrates that incorporating gamification into online high school biology courses is an effective strategy for increasing motivation and engagement, as well as reinforcing course knowledge and attitudes.

Keywords: educational innovation, gamification, motivation, math, high school

Abstract :

In this cutting-edge project, we delve into the realm of educational innovation in higher education, harnessing the power of augmented reality (AR), virtual reality (VR), and artificial intelligence (AI). Focused on the Metaverse, our initiative aims to bridge cultural and environmental consciousness between Mexico and Colombia. Through collaboration between Tecnologico de Monterrey and Universidad Catolica de Colombia, we're creating immersive sensory habitats. Enhanced with AR, VR, and AI, these digital environments are not only designed to illuminate cultural identities but also to actively engage students in confronting environmental challenges. This approach not only transforms educational content into interactive experiences but also significantly enhances student engagement, making learning more captivating and impactful. By integrating these advanced technologies, we strive to foster digital literacy, encourage innovative problem-solving, and enhance cross-cultural understanding in higher education settings. Our project exemplifies the integration of AR, VR, and AI as pivotal tools in aligning educational objectives with critical global issues, offering a unique method to engage and empower students in climate awareness, deeply ingrained in their cultural heritage.

Abstract :

This paper explores the integration of online learning platforms as a means to address Sustainable Development Goal (SDG) 12.3 - the reduction of food waste by 50% by 2030, aligning with Goals 1, 2, 9, 10, 11, 13, 14, and 15. Focusing on transformative pedagogical practices and technological advancements, the study investigates the efficacy of e-learning in fostering sustainable behaviors, specifically in the context of food waste management. By analyzing the implementation of artificial intelligence algorithms within online learning environments, personalized guidance and feedback are provided to learners, facilitating informed decision-making in sustainable food practices, achieving SDGs 4 and 8. Additionally, the paper examines the implications of online learning on diverse age groups, ranging from primary school to young adults, highlighting the importance of tailored educational approaches in promoting sustainable habits. Through a comprehensive exploration of educational strategies and technological innovations, this study contributes to the discourse on leveraging digital platforms to advance sustainability agendas in education.

Abstract :

The use of immersive virtual reality technologies in education has demonstrated an improvement in the learning process of professional- level students; nevertheless, mostly limited to the fields of science and engineering. In this study, the Neurohumanities Lab was introduced as a semi-immersive space where, differences in electroencephalography and heart rate as physiological signals, plus the statistical results from the ITC-SOPI presence questionnaire, were analyzed. These results were compared to those of a traditional class. Supervised Machine Learning algorithms were tested, and the engagement ratio plus the power extraction in the gamma band were the most significant features, with 92.34% accuracy on average. Heart rate variations were related to changes in the state of presence, also observed by the questionnaire responses’ results. Concluding that the Neurohumanities Lab has the potential to be a completely immersive environment, enhance the learning experience in the humanities area, and complementing humanistic evaluation learning with an objective perspective.

Abstract :

Education in the 21st century requires a curriculum responsive to students' needs in developing skills relevant to the times. This study aims to explore the curriculum design for 21st-century skills development in an Islamic high school in West Bandung Regency, Indonesia. The selection of this school as the research subject is based on its curriculum development, which allegedly equips students with several skills, including 21st-century skills. This study employed a qualitative approach with a case study design. Data was collected through observation, interviews, document analysis, and triangulation. Data analysis techniques included reduction, display, verification, and conclusion. The results indicate that this school implements an integrated curriculum, including the Emancipated Curriculum, Cambridge Curriculum, and the Typical Boarding School Curriculum, which are integrated with the Child-Friendly School, Adiwiyata School, and Disaster-Safe Education Unit programs. This school has implemented an integrated curriculum design that includes a regular program for collaborative project-based learning. This curriculum design and collaborative project learning has effectively developed students' 21st-century skills, including critical thinking, collaboration, creativity, problem-solving, technological literacy, and leadership. The study contributes insights into best practices in curriculum design for developing 21st-century skills in senior high schools. Keywords: 21st-century skills, curriculum design, senior high school

Abstract :

Case study and network analysis: international accreditation in higher education. Enhancing the quality of higher education is a strategic choice, especially considering the escalating demands of competitiveness in various fields, both at the national and global levels. Higher education plays a pivotal role as a fundamental unit of education across all levels and pathways. Higher education institutions have transformed into multinational entities, with quality management both in domestic and international markets increasingly focusing on customer-centric approaches. This research presents a comprehensive bibliometric analysis to understand the trends in the development of national and international accreditation and explores research opportunities related to accreditation. Data visualization is conducted using VOSviewer. The study aims to elucidate the impact of international accreditation on TVET doctoral programs. The study's findings reveal trends related to international accreditation in higher education. Overall, referring to the Indonesia National Qualifications Framework (KKN), commonly known as the Indonesia National Qualifications Framework (KKNI), it is highlighted that TVET can serve as a bridge, facilitating formal and informal educational qualifications from intermediate to specialist levels (doctoral programs). This article concludes by presenting reflections on the findings as an area requiring further exploration. The research is anticipated to be valuable for empirical researchers interested in examining the evolution of research themes related to the impact of international accreditation on TVET doctoral programs.

Keywords: Higher Education, Quality Enhancement, Bibliometric Analysis, International Accreditation, TVET Doctoral Programs, Indonesia National Qualifications Framework (KKNI).

Abstract :

The purpose of this study is to examine teachers' competence in the use of ICT in learning after participating in the ICT-Based Learning Program training. This study is motivated by the issue that many teachers still face challenges in integrating ICT into the learning process in the current technological era. The research method used is a case study approach with research subjects consisting of 10 teachers who have participated in the learning technology competence training in Indonesia. Data were collected through interviews and analyzed using a thematic approach. The results of the study show that there is an increase in teacher competence after participating in this program, as evidenced by the improvement in teachers' teaching skills. This can be seen from how teachers prepare innovative and creative learning plans with the help of ICT. In teaching, teachers can increase students' interest in learning; this training has successfully helped teachers practice good methods and share knowledge with their peers and the teacher community by becoming a resource. Besides acting as a program that helps teachers continue learning and improve their competence, it also motivates teachers to stay updated with technological developments and use technology as a medium for competence development.

Keywords: Teacher, ICT Learning, Competence

Abstract :

This study examined the artistic merit of Crypto Art, a new art form powered by blockchain technology. Researchers explored how Crypto Art could contribute to the longstanding search for meaning in art. Even though it is uncertain whether it can wholly achieve this idea, its innovative potential, ability to involve audiences, and expression demonstrate significant contributions to discussing art's worthiness in the age of digitalization. The analysis applied multiple perspectives to understand meaning-making in Crypto Art. One approach examined symbol meanings and technology. Another explored how the power relations of society are challenged by crypto art. Finally, researchers looked into how Crypto Art might upend established art industry dynamics and give new voices a voice. This intricate method disclosed Crypto Art's chances of democratizing art creation and overhauling established power structures. Nonetheless, the present focus on ownership and market value may hinder the more profound artistic importance. More research is necessary to scrutinize some specific crypto art projects and determine how value is defined in this new medium. The environmental impact of the technology and the evolving legal landscape surrounding Crypto Art are also important areas for investigation. Future research that goes beyond one particular philosophical perspective will investigate how Crypto Art redefines beauty in the digital age and interacts with technology to reshape artistic expression. This ongoing exploration will ultimately contribute to a richer understanding of Crypto Art's potential for artistic innovation, social critique, and the quest for meaning in a technologically driven world.

Keywords: Crypto Art, Digital Aesthetics, Artistic Value, NFTs (Nonfungible Tokens), Digital Age

Abstract :

Recommendation engines have completely changed how we find personalized material in the modern world. These days, finding movies you'll adore doesn't have to take a lot of time thanks to recommendation tools. To provide you with recommendations that are more accurate than those from content-based systems alone, we have developed a model that blends collaborative and content-based techniques. Because these systems only present options that are comparable to what you have already seen, they may be restrictive. Our approach considers what you like and what other people like you like to do, so it increases your alternatives. It encourages you to try new genres and makes locating excellent films simple.

Keywords: Movie Recommender System, Regression, K-NN Algorithms, Content-based Filtering, Collaborative Filtering, Nearest Neighbors, K-means, Clustering

Abstract :

At the undergraduate level, it is crucial to understand and quantitatively assess the risk of Cardiovascular Diseases individually, following the National Stroke Association (NSA) criteria, and to raise awareness among students for improving health habits in a real-world context. The results of the design of an interactive and innovative activity that demonstrates the importance of cardiovascular health care in the undergraduate student population are reported. Digital resources were utilized to facilitate remote learning. Implementing this activity in a real-world context is essential because the information gathered can be used to design personalized learning plans and content. The findings underscore the need to implement health education strategies to promote healthy lifestyles among students. These strategies could be managed by university wellness services, addressing modifiable risk factors and contributing to the prevention of cardiovascular diseases. Additionally, early detection of potential risk is emphasized, allowing specific interventions to improve lifestyle and well-being over time. Raising awareness about adopting healthy lifestyles in the university population is also essential, emphasizing attitudes and behaviors that promote cardiovascular health. This becomes particularly relevant when considering that health students serve as role models, exerting a positive influence as future professionals in the field.

Index Terms : Cardiovascular diseases, Experiential learning, Healthy habits, Undergraduate students, Higher education, Innovation in education.

Abstract :

The aim of this paper is to present a successful training activity related to teaching the Internet of Things (IoT) to multidisciplinary senior-level undergraduate Engineering students enrolled in a minor called Systems and Technology 4.0 at Tecnológico de Monterrey. General topics of IoT were introduced, like smart devices, communication models, Reference Architecture Model for Industry 4.0 (RAMI), Communications protocols for Industrial Internet of Things (IIoT) and their standards and technologies. A hands-on approach was carried out, consisting of two parts: The first part was to acknowledge and use the ESP32 microcontroller via WiFi, while the second part involved a use-case of an earthquake detector with the help of two sets of the Arduino® IoT kit. Finally, there an entry and an exit survey were applied to measure the impact and the awareness of IoT systems with the help of the activities using a 5-point Likert scale. Results from this study show that this hands-on approach with a realistic user-case resulted in a better understanding and identification of opportunities using IoT regardless of their previous knowledge on the matter. We suggest that educators should implement more activities under the role of flipped classrooms related to IIoT. Likewise, universities should be prepared to implement and encourage different IoT projects so that students find value in the use of these technologies.

Index Terms : Educative Innovation, Earthquake detection, Higher Education, Internet of Things, Industry 4.0

Abstract :

At the undergraduate level, it is crucial to understand and quantitatively assess the risk of Cardiovascular Diseases individually, following the National Stroke Association (NSA) criteria, and to raise awareness among students for improving health habits in a real- world context. The results of the design of an interactive and innovative activity that demonstrates the importance of cardiovascular health care in the undergraduate student population are reported. Digital resources were utilized to facilitate remote learning. Implementing this activity in a real-world context is essential because the information gathered can be used to design personalized learning plans and content. The findings underscore the need to implement health education strategies to promote healthy lifestyles among students. These strategies could be managed by university wellness services, addressing modifiable risk factors and contributing to the prevention of cardiovascular diseases. Additionally, early detection of potential abnormalities is emphasized, allowing specific interventions to improve lifestyle and well-being over time. Raising awareness about adopting healthy lifestyles in the university population is also essential, emphasizing attitudes and behaviors that promote cardiovascular health. This becomes particularly relevant when considering that health students serve as role models, exerting a positive influence as future professionals in the field.

Abstract :

Since the release of ChatGPT, the excitement and skepticism about the use and academic integrity of artificial intelligence (AI) platforms applied for educational purposes have increased notoriously. Particularly, teachers are nowadays interested in integrating AI tools in the learning process to improve the students disciplinary and transversal Competencies.
The objective of this paper is to measure the ease of use, experience and use for learning of MATLAB AI Chat Playground as a tool in learning activities for undergraduate engineering students. We present a qualitative study and descriptive statistics to analyze the data obtained from a survey applied to the students. The survey is divided into two sections: perception of using the tool and self-evaluation of the transversal competence in digital transformation developed through the course. Also, a comparison between students’ self-perception and teachers’ final evaluations of the digital transformation competence is presented.
The experiment implementation was performed during the early second academic term of first-year engineering students. An instrument was applied to 25 students. The results show acceptance of the tool. Moreover, students perceive AI Chat Playground as useful and powerful. However, there are some concerns and uncertainty about inappropriate use, dependance and abuse on using the tool.

Abstract :

In our globally connected world, designing STEM (Science, Technology, Engineering, and Mathematics) programs with an international focus, is paramount to preparing students for the complexities of the modern landscape, where collaborations across borders and cultural understandings are indispensable skills. Our research engaged 1200+ Latin American students in aerospace challenges integrating digital tools and soft skills. By crafting education challenges and competitions with UN Sustainable Development Goals, students engage in real- world issues, fostering a global mindset. This hybrid approach combined in-person and remote activities. Our post-analysis gains highlighted enhanced technical skills, creativity, and global collaboration. Feedback emphasized the need for more engaging elements. Our analysis included renowned engineering competitions, fostering soft skills development. This integration benefits students and contributes to future STEM leaders. The hybrid model facilitated cross-border collaboration among students from Mexico, Colombia, Argentina, Brazil, Canada, Chile, the United States, and Puerto Rico. Our paper represents the results of five years of hybrid STEM activity implementations, showcasing sustained benefits. Notably, collaboration extended to professors, fostering a network committed to advancing STEM education through digital transformation.

Abstract :

This study investigated the role of generative AI tools in facilitating informal digital English learning activities among second language (L2) learners in a Chinese context. It explored how factors like learners' ideal L2 self-imagination, international posture, and perceptions of information quality influence their engagement with productive (e.g. writing, speaking) and receptive (e.g. reading, listening) informal digital learning activities mediated by generative AI. Drawing from theories of consumption values and self-determination, the research model examined relationships between these variables. The findings suggest that while generative AI holds promise for informal digital language learning by facilitating imagination of an ideal multilingual self, there are opportunities to enhance functionality for L2 contexts. Nurturing an international mindset through interventions may also promote informal learning across genders. Adapting informal digital learning resources based on factors like information quality perceptions could increase engagement. This study provides insights into harnessing generative AI effectively for blended language learning solutions.

Index Terms : Generative AI, Informal digital language learning, Ideal L2 self, international posture, Information quality perceptions

Abstract :

The protection on the welfare of the senior citizens was first established in 1992. Republic Act No. 7432 of 1992 is an act to maximize the contribution of senior citizens to national building, grant benefits and special privileges, and for other purposes. The study aimed to assess the availment of Benefits and Privileges of Senior Citizens in terms of health; social; financial; education; and employment. Likewise, it also includes the problems encountered and the solution offered in the availment of benefits and privileges of the Senior Citizens. This study made used of three hundred sixty (360) respondents composing of two groups of respondents namely: senior citizen and barangay OSCA officials. The assessments revealed the following: The common benefits and privileges enjoy by the senior citizens include: free medical checkup and medicines, and discounts in private services. Moreover, the most serious problems encountered by the senior citizens is the limited medical services due to lack of adequate facilities. However, the highly recommended solution is centered on employment benefits particularly in making ties with companies which may offer job to the senior citizens. Finally, the specialized program maybe proposed should focus on dental services, recreational facilities, more discounts to grocery items; special training course; and employment.

Abstract :

This study explores the profound connection between educational Hanjeli tourism with local community knowledge its role in enhancing food resilience. Hanjeli, deeply embedded in alternative food heritage and local wisdom, acts as a key driver of sustainable tourism initiatives, providing visitors with unique educational experiences while strengthening indigenous food systems. Using qualitative research methods, the paper examines the various facets of Hanjeli educational tourism, focusing on its socio- cultural, economic, and environmental impacts on community-based food security. Through interviews, participant observation, and content analysis, it demonstrates how Hanjeli tourism empowers local communities to preserve and promote traditional food practices, thus bolstering food security and sovereignty. Moreover, the study investigates Hanjeli educational tourism's role in promoting cross-cultural exchange and knowledge sharing, leading to local economic revitalization and the preservation of cultural heritage. In conclusion, the paper advocates for recognizing and supporting Hanjeli educational tourism as a catalyst for advancing food security at the grassroots level. By leveraging alternative food heritage for sustainable development, communities can foster greater self-sufficiency, conserve biodiversity, and preserve cultural identity amidst global challenges such as climate change and economic globalization.

Abstract :

The life of the Baduy Dalam tribe, particularly in Cibeo village, is still coloured by strong customary laws and culture, making it an attraction for tourists. Despite this, the Baduy tribe refused to be a tourist destination in 2020, fearing damage to their culture. They prefer the term ‘saba budaya’ or gathering rather than tourism as it relates to their ‘pikukuh’ or customary law. Despite not receiving formal education, the Baduy tribe has a social learning system that is in accordance with their background. This social learning is their identity strategy, even though they do not have formal schooling.This research uses the theories of Li Yang, Theron Nunez, Barth, and Hewlett to analyse the impact, background, positioning, boundary strategy, and social learning of the Inner Baduy tribe towards tourism. The ethnographic method is used to collect data through interviews, observations, literature studies, and documentation. The analysis shows that the Baduy Dalam tribe does not reject tourism as long as it does not interfere with their daily activities. Cibeo Village is open to tourism due to the practice of their ancestors. Their position as hosts is supported by WISUBA with mutually beneficial cooperation. However, the impacts of this interaction include cultural commodification and ecological damage, such as plastic waste. Ethnic boundary strategies are used to defend their Photograph Organization Logo Indonesia Endowment Fund for Education Agency existence from the impacts of tourism. Social learning plays an important role in maintaining their identity as indigenous people without formal education.

Keywords: cultural tourism, ethnicity, Baduy tribe, social learning.

Abstract :

The United Nations Sustainable Development Goals (UNSDG) prioritize 'Quality Education' for global peace and prosperity. The Malaysian government's special education reforms are influenced by the 'Shared Prosperity Vision 2030'. Special needs education emphasizes the necessity of incorporating technology into the learning environment to meet neurodiverse learners' communication, teaching, and learning needs. Teachers serve as a liaison between students, parents, and carers. Technological innovations assist instructors in meeting the educational demands of neurodiverse students at all levels. Early intervention-based teaching and learning is widely seen as beneficial to neurodiverse students, particularly those with autism spectrum disorder (ASD). However, students with ASD's genuine needs, acceptance, and preferences are still not given enough attention by technology, particularly from the paradigm of natural user interface (NUI) technology. Therefore, to bridge the identified gap in academic literature, this study investigates the efficacy of user specification in enhancing multimodal interaction for students with ASD. Recognizing the unique communication challenges faced by ASD students, the study addresses the central problem of optimizing interaction interfaces to cater to their specific needs. Through a preliminary study, the aim is to assess the impact of tailored user specifications on improving the user experience of multimodal interaction tools for ASD students. Employing a mixed-methods approach, this study combines qualitative and quantitative measurements and involves Wizard of Oz (Woz), observation, and interview. Results demonstrate promising enhancements in engagement, emotional impact, and communication among ASD students when utilizing tailored multimodal interfaces. In addition, the study also highlights the need for further exploration and refinement in user specification strategies to accommodate the diverse sensory and cognitive profiles within the ASD population. Future research endeavors will focus on the user experience of customized interaction interfaces and explore advanced methodologies for personalized user specification in multimodal interaction systems for ASD students.

Abstract :

Business Intelligence (BI) technologies offer intuitive insights and advanced analytical capabilities by transforming raw data from integrated sources into actionable knowledge. In the context of higher education, where institutions face heightened competition, dwindling public funding, and increased accountability, BI serves as a pivotal tool for data-driven decision- making. This paper addresses the problem of optimizing Course Learning Outcomes (CLOs) by implementing BI technologies. Our objectives are to integrate CLO data into a multidimensional model, apply BI tools for CLO analysis, and evaluate how BI can enhance CLO performance in higher education institutions (HEIs). We propose the Intelligence Course Learning Outcomes Platform (ICLOP) as a solution, utilizing BI technologies to generate efficient student data and performance metrics. The case study involving students from Universiti Sultan Zainal Abidin (UniSZA), Malaysia, demonstrates that BI can significantly improve enrollment management, resource allocation, and student success. The findings conclude that BI tools provide an effective means to enhance CLOs, offering a robust framework for improving educational outcomes and institutional efficiency, highlighting the transformative potential of BI in the academic sector.

Abstract :

Using the multiliteracy model in learning can improve students' literacy skills. These literacy skills are very necessary in learning. Learning with a multiliteracy model can make it easier for students to understand the material. This is because in multiliteracy learning, teachers can relate learning to students' experiences. Another factor that can support the quality of the learning process is learning media. The use of innovative learning media can increase students' interest and understanding of learning material. The innovative technology-based learning media that will be used as an effort to optimize learning in this research is Google Sites media. This research aims to analyze the effectiveness of learning to write procedural texts using the multiliteracy model assisted by Google Sites media in class XI high school students. This research attempts to analyze differences in students' initial abilities and the conditions after being given treatment. This research uses a quasi-experimental research design. Data were analyzed using the average similarity test (T-test). The results of the research show that there is a significant difference in the results of students writing procedural texts before and after being treated with the multiliteracy learning model assisted by Google Sites media.

Keywords: Write procedural texts, Multiliteracy model, Google Sites media, High school students

Abstract :

This study aimed to examine EFL (English for Foreign Language) teachers’ perceptions towards the use of technology in their differentiated instruction practice, including how they incorporated technology in differentiated instruction, what the challenges they encountered, and what teachers' opinions were. Four experienced English teachers of secondary schools across Indonesia who were selected through purposive sampling participated in this study. The interview sections were employed to gather data on teachers’ perceptions and practices of the incorporating differentiated instruction with technology in English language classroom. Then, the data were analyzed using thematic analysis. This study found out that all the teacher participants showed good perceptions and have incorporated technology in their differentiated instruction practice. They utilized various applications and software to support the learning process in tailoring students’ needs. Meanwhile, the challenges were in the limitation of resources, time constraint, and students’ skill. This study implied that school and parental support were really needed in the differentiated practice, particularly in incorporating it with technology.

Abstract :

This research is motivated by the dominance of communication studies from a Western perspective. Reference sources and communication theories are almost entirely from Western countries, such as the United States, Germany, England, and Australia. The consequence of this dominant Western perspective causes studies to become stagnant. Therefore, this research aims to identify non-western communication values and models in efforts to develop communication studies. This research was conducted by examining the Kitab Rambahng by Syech Maulana Ibrahim. Through exploratory studies based on the Kitab Rambang and in-depth interviews with informants, this research can reveal how communication was actualized in Ancient/Royal Javanese culture. This research succeeded in identifying communication values and philosophies from an Old Javanese perspective. The values resulting from research can be used as a medium for character education. The research results show that the Rambang Book contains communication principles that emphasize honesty, politeness, wisdom and harmony. These values are relevant to be applied in the context of modern communication, both in everyday life and in the professional world. This research contributes to cultural preservation efforts and provides a new perspective on the importance of traditional communication philosophy in building more meaningful and harmonious interpersonal relationships. It is hoped that the revitalization of the teachings from the Kitab Rambang can inspire people to adopt wiser and more ethical communication practices, as well as enrich the treasures of communication science with local perspectives that are rich in noble values. The results of this research can also be used as a medium for character education.

Keywords: Kitab Rambang, Value, Education

Abstract :

The current paper discussed the effects of integrating Principal Component Analysis (PCA) with K-Means clustering in student segmentation within educational data mining. This study involved a dataset of 1000 computer science students, having attributes such as age, GPA, programming skills, learning style, and extra-curricular activities. In this study, the original high-dimensional data and the data reduced by PCA were applied to k- means clustering. Quality measures used in this experiment included silhouette score, Calinski-Harabasz index, and Davies-Bouldin index. Our results returned that PCA enhances clustering performance, where well-separated and cohesive clusters could be observed in 2D and 3D visualization. This paper highlights the importance of dimensionality reduction in getting more accurate and actionable student segmentation, hence giving definite insights to the educational institution in order to enhance personalized learning through resource optimization and meeting diverse student needs. Beyond this, it discovers concealed patterns and correlations that might be left out by the traditional approach. That thus turns out to be the way toward more equitable, individualized learning. Despite data quality, this study provides a foundation for further research on integrating intelligent and adaptive learning technologies in trying to continuously improve personalized learning and unleash each student's full potential.

Abstract :

This study delves into the perceived and experienced psychological effects of AI tools, such as ChatGPT, on college students' academic self-perception and perceptions. We aim to understand how these tools shape students' authenticity, learning processes, and overall outlook on academic tasks. Through qualitative interviews with a semi-structured format, this study employed convenience sampling with purposive recruitment to select participants who extensively used AI tools in their academic pursuits. Participants involved college students aged between 18 and 25. 99 responses during the convenience sampling were filtered based on the participants’ AI usage and experience. Semi-structured interviews were conducted for the selected participants. Data was saturated after six in-depth interviews. Thematic analysis, aided by Atlas.ti software, helped uncover recurring themes and patterns in the interview data. The thematic analysis paints a nuanced picture of students' perceptions of AI in academia. While recognizing the benefits of AI in boosting productivity and knowledge accessibility, students also expressed concerns about its potential effects on authenticity, self-confidence, and critical thinking skills. The analysis revealed ten main themes with 24 associated subthemes and 42 items were coded. The overarching themes include Perception of AI in Academics, Personality Traits of AI Users, Perceived Inferiority to AI, Reasons for Using AI, Academic Self-Concept, Challenges While Using AI, Attributions of Success Using AI Tools, Impact on Creativity, Feelings of Authenticity, and Academics Without AI. The study underscores the dual nature of AI's impact on academic self-perception, emphasizing the importance of a balanced approach to AI integration in education.

Keywords: Artificial Intelligence Tools, Language models, ChatGPT, Academic Self-Concept, Authenticity, Extensive AI users, AI Perceptions.

Abstract :

One of the requirements to obtain approval for photovoltaic (PV) solar modules is to comply with their limitations. The information obtained from monitoring is much needed for the research and development work of universities and research centres. In this paper, a method for remote monitoring of data from photovoltaic solar modules has been developed. This information is extracted using appropriate sensors. A microcontroller and a wireless module are used to send data to the office computer. Data collection is performed using Laboratory Virtual Device Engineering Workbench (LabVIEW) software and is presented on a graphical user interface (GUI) screen. The planning process has the opportunity to remotely monitor data over time, which will provide more detailed information about the performance of photovoltaic solar modules. LabVIEW-based platforms are helpful for real-time monitoring of solar photovoltaic modules and for controlling speed of stepper motor Continuous monitoring and diagnostic information can be provided through these platforms. LabVIEW offers easy data acquisition, measurement, and monitoring options. These platforms can aid in identifying and rectifying defects in PV module performance. Through a solar panel, data can be easily measured, monitored, and acquired using LabVIEW .That effectiveness of LabVIEW-based platforms for improving monitoring and diagnostic capability of PV modules.

Keywords: data acquisition, remotely monitoring, sensors, wireless, microcontroller, LabVIEW.

Abstract :

Harmful objects, a serious concern for public safety, necessitate effective detection methods, and machine learning offers promising solutions. This review delves into the application of machine learning, particularly deep learning, in detecting harmful objects using the UCF Crime Dataset. By analyzing various methodologies and data preprocessing techniques tailored to the dataset, such as augmentation and normalization, this study aims to improve detection accuracy. Looking ahead, we explore future avenues for enhancing detection capabilities while considering ethical and legal implications. Ultimately, this review serves as a guide for researchers and practitioners striving to bolster security measures through machine learning-based detection systems.

Keywords: Harmful objects detection, Machine learning, Deep learning, Convolutional neural networks, Object detection, Security.

Abstract :

This study investigates the influence of music on memory, focusing on its impact on cognitive abilities under three distinct conditions: no music, same music during learning and recall, and different music during learning and recall. Utilizing an experimental research design with a control group, seventy-two participants were randomly assigned to one of these conditions and engaged in various memory tasks, including nonsense syllable recall, sense syllable recall, and lines from poem recall. The MANOVA yielded a significant multivariate main effect of music conditions on memory recall (Wilks' Lambda = 0.619, F(6, 134) = 6.055, p < .0005). This suggests that music condition does have a significant influence on memory abilities across the various tasks. While comparing the mean scores on total recall for various tests the group without music had a higher mean score as compared to all other groups. Also, while comparing the group with same music during learning and recall condition , and different music during learning and recall condition the mean scores were higher for the former group. However, the specific patterns of differences between the music conditions were further elucidated through post-hoc analyses within each memory task, revealing nuanced relationships between music and memory performance.

Keywords: Music, Memory,Cognition, MANOVA, Experimental research

Abstract :

The rapid shift to online education has compelled adaptations in various aspects of academic life. This research explores the transformation of traditional portfolio requirements into a digital format through the development of the Portfolio Repository Management System (PRMS), referred to as "One Tap Portfolio." The PRMS serves as a web application designed to streamline the organization, submission, and management of digital portfolios for colleges and students at La Consolacion University Philippines. This study investigates the salient features of the PRMS and assesses its efficacy in addressing common issues associated with traditional portfolios, such as disorganized files, loss of materials, physical waste, and material costs. The research employs a quantitative methodology, utilizing a Google Forms Survey to evaluate the PRMS based on the ISO 25010 standard criteria. The development of the PRMS follows the Scrum framework of the Agile Methodology, ensuring iterative progress, client collaboration, and adherence to requirements. The system includes features such as log-in and registration systems, a user dashboard, files menu, send files functionality, and administrative features. Results from the survey indicate positive feedback, with the PRMS scoring well across various ISO 25010 categories, including Functional Suitability, Performance Efficiency, Compatibility, Usability, Reliability, Security, Maintainability, and Portability. The averages and descriptive equivalents suggest that the PRMS successfully meets the quality standards outlined by ISO 25010. In conclusion, the One Tap Portfolio addresses the challenges posed by the digitalization of education, offering an efficient and user-friendly solution for portfolio management. The findings affirmed the system's effectiveness and provide valuable insights for further improvements in digital portfolio management systems.

Abstract :

The video analysis is one of the ever-growing field in research. The introduction of new technology and use of video lectures in education has opened new possible ways of using videos. Video lecture have become preferred choice for E-learning platforms which includes distance education, Massive Open Online Courses (MOOCS), universities courses. Government of India has launched the new initiatives for E-learning such as Swayam, National Programme for Technology Enhanced Learning (NPTEL) online courses which are based on the video-based content delivery. Only on YouTube every day around 400 billion videos are watched and 300 hrs. of videos are uploaded every minute. The video has been the central part of the many researchers. It has been used in the research of Facial Expression Recognition, Indexing of the video, analyzing the contents of video with the help of metadata of video, transcripts, course material. There are attempts to generate a heatmap of a video based on the number of times a particular frame is visited by user; some approaches even combine heatmap generation with eye gaze tracking of student using eye tracking tools to identify the highest and lowest watched frames in the video. The present work in the area of content-based video analysis have focused on finding the topic of video, key frames in video, locating the object and finding its presence in all past and future frame of video. The paper discusses Photograph the key development in the area of video content analysis to help improve the quality of learning

Abstract :

In recent years, electronic learning (e-learning) has emerged as a transformational tool in educational settings. E-learning technologies make education available to everyone, regardless of geographical location or conventional barriers. The main purpose of this study is to discover factors influencing e Learning for women's education in the United Arab Emirates by implementing a quantitative method using a survey. This study has adopted a quantitative approach using a structured questionnaire. A random sampling method has been used to collect a sample of 300 females from various educational institutes and on-line learning platforms in the UAE. To analyse data, statistical tests such as descriptive statistics, correlation, and regression have been used. The findings of the study showed that access to dependable technologies and internet connectivity are the main factors that influence women's education through e-learning. Other factors were socio-cultural: family support, and societal attitudes toward women's education. High-quality institutional support, in the form of on-line resources and faculty commitment, is found to create superior learning experiences. It is complemented by personal motivation, driven by career aspirations and self-improvement goals, which have come out powerful. According to these findings, mitigating technological, cultural, and institutional barriers does become the common ground for paving the way toward improving women's education opportunities through e Learning in the UAE. This paper intends to give valuable insight to policy-makers and educators to come up with focused strategies for empowering women and their educational needs through the e-learning educational platform.

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In contemporary cultural heritage studies, there is a growing trend towards the application of gamification as an effective pedagogical method. This research seeks to provide a comprehensive overview of empirical insights drawn from current literature in the nascent field of gamification in cultural heritage education. Several key research questions are explored, including the principal contributors to this emerging field, the types of cultural heritage in which gamified education is employed, the outcomes and prevalent gaming elements of such initiatives, and the intended audiences of these educational endeavors. The results indicate that gamification generally fosters increased learner engagement and achievement, underscoring its potential to enhance social interactions. The efficacy of gaming mechanics like points and leaderboards in satisfying competence needs and fostering intrinsic motivation for learning is scrutinized. In conclusion, while gamification has demonstrated considerable potential to enrich heritage education, sustained and meticulous research is imperative for devising efficacious strategies and a deeper comprehension of its broader impacts on learning and engagement. This paper advocates for establishing more robust theoretical frameworks and an expansive methodological approach in future research. Such efforts are crucial to advance the understanding and educational impact of gamification in cultural heritage contexts, moving beyond isolated case studies.

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This paper focuses on the development and Finite Element Analysis (FEA) of a 3D-printed ridger intended for agricultural applications. Initially, a conventional ridger was obtained from industry and 3D scanned to create a digital model. This model was then 3D printed using PLA after a series of trials to optimize print quality and mechanical performance. To ensure the practical field applicability of the PLA ridger, it underwent force calculations based on usage data. The stress and strain responses of the original mild steel ridger and the 3D-printed PLA ridger were compared through FEA, performed using ANSYS Student Version 2023.
To enhance the strength of the 3D-printed ridger, redesign efforts were conducted using CATIA. Various faceplate designs with support thicknesses of 4mm, 6mm, and 8mm were created and subjected to further FEA. The analysis provided stress (1st principal stress) and strain (total strain) data for each design iteration. Comparative results of the original and redesigned ridgers were compiled to evaluate performance improvements. This study demonstrates the potential of 3D printing in producing functional agricultural tools, highlighting both the benefits and limitations of PLA in such applications, and provides insights into effective design modifications for strength enhancement.

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Sustainably managing waste and addressing the escalating environmental issues require effective trash segregation. In this study, an automated system for differentiating between dry and wet waste is created and implemented using the Classification and Regression Trees (CART) algorithm, a machine learning and image processing technique. The method in question makes use of a dataset made up of pictures of both wet and dry trash. In order to increase the precision and consistency of the input data, the photos have undergone a thorough preprocessing procedure that includes scaling, grayscale conversion, and normalization. These preprocessing methods allow for more accurate feature extraction and classification by normalizing the images. Flattened image arrays are given into the CART model, which is trained to distinguish between dry and moist rubbish. Several measures, including accuracy, precision, recall, and F1-score, are obtained from a well-partitioned training and testing dataset and utilized to meticulously evaluate the model's performance. The results exhibit high accuracy rates in distinguishing between the two waste types, proving the efficacy of the model. The interpretability of the decision tree model is also examined in the study, providing information about the classifier's decision-making process. The visual representation of the decision tree clarifies the many features in the classification task and their relative importance and hierarchical structure. This work not only highlights the potential of machine learning algorithms to enhance waste management systems, but it also promotes the greater goal of environmental sustainability. It is anticipated that this automated categorization system will simplify waste segregation processes, reduce labor-intensive human labor, and promote efficient recycling techniques. Future research will examine how to integrate this system with real-time waste management frameworks and examine the use of more advanced machine learning models to further improve classification accuracy.

Keywords: Waste classification, Dry and wet waste, Machine learning, CART algorithm, Image processing, Automated waste segregation, Decision tree, Grayscale image preprocessing, Feature extraction, Environmental sustainability, Waste management systems, Image recognition, Computer vision, Recycling efficiency, Classification accuracy.

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Through the past few years machine learning and blockchain technologies have rapidly advanced and revolutionized numerous industries. Blockchain offers secure transaction tracking, whereas machine learning facilitates data-driven decision making. This study explores both technologies and their potential to transform finance, supply chain management, healthcare and identity management. The focus is on how this integration can improve cybersecurity, privacy, and implement decentralization nature through improved data management and analysis. This collaboration promises automation, transparency, and data-driven decision-making while strengthening security. However, challenges, such as security threats, integration planning, and data processing, must be addressed before widespread adoption. Overcoming these hurdles will unlock the true potential of this technological fusion, shaping the future of enhanced efficiency, security, and data-driven decision making across various sectors. Finally, we demonstrate a case study on this integration.

Keywords: Machine learning, Decentralization, Blockchain, Smart Contract, Immutable ledger, Identity management, Finance, Transparency, Secure model training, Digital voting system.

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This study investigates the integration of Machine Learning (ML) into a Local Government Unit (LGU) educational policymaking to enhance educational outcomes, streamline administrative processes, and enable data-driven decision-making. It identifies challenges including data availability, data quality, model interpretability, scalability, and ethical concerns such as data privacy and bias mitigation. A literature review identifies ML algorithms applicable to education policymaking, including decision trees, neural networks, clustering, and reinforcement learning. The proposed framework emphasizes the need for high-quality datasets, robust data management systems, computational resources, and trained expertise. Stakeholder engagement, involving educators, policymakers, and community representatives, ensures alignment of ML solutions with educational goals. Upgrading data infrastructure storage solutions and comprehensive data governance frameworks is essential for efficient ML deployment. Additionally, establishing ethical guidelines for responsible data handling and bias mitigation, as well as regular performance evaluations, will ensure the fair and effective use of ML. By leveraging ML, LGUs can enhance educational outcomes, streamline administrative processes, and create data-driven, equitable educational policies. Further research is encouraged to expand data collection, apply the proposed ML system, conduct longitudinal studies, and continuously refine the framework, empowering LGUs to harness the transformative potential of ML in education policymaking.