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"Students"

This study explored the integration of computer-aided design (CAD) and neural network technology in vocational education, focusing on course design, skill training, and project-based learning. Through analysis, the study reveals how this technological integration improved students’ practical skills, innovative thinking, and problem-solving abilities. Feedback from students indicated high satisfaction with the personalized resources provided by the system, which effectively met their learning needs. Empirical findings showed significant improvements in students' practical capabilities after applying CAD and neural network technology. Compared to traditional models, students demonstrated faster execution and better reporting skills. This integration marks a breakthrough in practical teaching in professorship education, enhancing both instructional effectiveness and the overall learning experience. © 2025 IGI Global. All rights reserved.

This research focuses on Chinese vocational art students, employing a mixed methodology combining questionnaires, in-depth interviews, and social psychological observation to construct a multi-dimensional assessment framework for measuring sustainable innovation and entrepreneurship abilities. The study systematically examines the influence mechanisms and developmental pathways of social environmental factors on the formation of these abilities. Through analysis of 426 students from 8 vocational art institutions, the research reveals that vocational art students' sustainable innovation and entrepreneurship abilities exhibit a three-dimensional structure comprising cognitive abilities, behavioral skills, and psychological qualities. These dimensions are interconnected and mutually reinforcing, collectively forming an integrated system of sustainable innovation and entrepreneurship capability.The findings indicate that the educational environment influences innovation and entrepreneurship abilities through three pathways: knowledge transfer, behavior shaping, and psychological construction, with practice platforms (direct effect=0.57) and mentor guidance (direct effect=0.49) showing the most significant impact. The vocational ecological environment functions through market driving, social capital, and professional identity mechanisms, with students from different professional fields showing significant differences in innovation and entrepreneurship abilities (F=44.37, p<0.001). Cultural values exert influence through value identification, identity construction, and social support, with reform openness demonstrating the most significant correlation with innovation and entrepreneurship ability (r=0.68).The research identifies three typical individual development profiles (explorers, integrators, and innovators) and their corresponding educational support systems, finding that social resource integration ability is a key success factor for sustainable innovation and entrepreneurship. Based on these findings, the study proposes the construction of a "three-dimensional integrated" ability development system and a "whole-environment, multi-stage, personalized" educational ecosystem, providing theoretical foundation and practical guidance for cultivating innovative and entrepreneurial talent in vocational art education. © 2025 by author(s).

The aim of the present study was to reveal modern approaches to the teaching process based on the principles of fractal didactics. This study reveals the concept of ‘fractal didactics and its influence on the educational process, subject teaching and personality development of future specialists. The principles of fractal didactics are defined and described, in particular: integration, self-similarity, openness, integrity, self. Such synergetic principles of personality development in the conditions of fractal didactics as: the principle of integrity, the principle of continuous development and the principle of balance are disclosed. The methods of fractal pedagogy include integrated as well as holistic learning, and their role in the educational process is described. The results of observation of the process of teaching Russian, Kazakh and English languages, built on the principles of fractal didactics, conducted on the basis of the Kazakh National Pedagogical University named after Abai, are presented. The results of the observation demonstrated that the basis of quality language training of future specialists in the conditions of digital society is the use of integrative and holistic approaches. It is concluded that fractal didactics can increase the effectiveness of subject teaching, in particular teaching Russian, Kazakh and English languages, in the conditions of digital civilization, as well as prepare students for continuous development. The levels of Benjamin Bloom’s taxonomy are described, on the basis of which the educational model of fractal didactics is developed. The most effective way to ensure the formation and development of the necessary skills is through an educational system that corresponds to the taxonomy model of fractal didactics, which was described in the framework of this study. © The Author(s) 2025.

Introduction. The Fourth Industrial Revolution has brought about significant changes in both the economy and education. This study introduces a tailored self-design training model specific to Indonesia's industries for students. Aim. The present research aims to develop a learning model that is product-oriented and tailored to meet the needs of the industry. Additionally, it seeks to evaluate the model's effectiveness in enhancing the readiness of vocational high school (VHS) students. Methodology and research methods. The study employed various testing methods, including interviews, questionnaires, and practical performance assessments. Results and scientific novelty. The developed Industry-Integrated Self-Design Project Learning (i-SDPL) model integrates the learning experiences from VHSs with an industry component aimed at familiarising students with the professional environment of enterprises. This model emphasises student independence in the development and implementation of industry projects. The integration with industry within the model offers students access to the latest technologies and practical knowledge that may not always be available in an academic setting. The advantages of this model include active student participation in enterprise operations, training based on real products, and a comprehensive enhancement of both technical competencies and soft skills compared to traditional methods. The effectiveness of the i-SDPL model is evaluated based on three main competency aspects, each with clear indicators and criteria. The i-SDPL model has demonstrated its effectiveness in enhancing attitude, knowledge, and skills competency among 136 students across two trial implementations. Scientific novelty. An original i-SDPL model has been developed to ensure the integration of vocational education programmes with the specific needs of various industries. Practical significance. The widespread adoption of the i-SDPL model will further enhance partnerships between vocational education institutions and industry. The findings of this study are not only pertinent to the VHS system in Indonesia but can also serve as a valuable guide for vocational education institutions in other countries facing similar challenges. © Sudarsono B., Saputra W.N.E., Ghozali F.A.

Vocational institutions are essential in shaping individuals who are skilled, adaptable, and capable of integrating into various industry sectors. These institutions provide comprehensive training programs that extend beyond conventional teaching methods, emphasizing practical applications and hands-on experiences. This study examines how Measurement Level and System Integration in vocational education impact work readiness. Data was collected from 55 students in engineering programs at Universitas Negeri Padang using questionnaire that measured perceptions of system integration and work readiness, including indicators such as knowledge proficiency and technology utilization. The analysis, using Pearson's correlation and SmartPLS, found a strong positive correlation (r = 0.828) between effective system integration and work readiness. This means that better system integration is linked to improved student readiness for the workforce. © (2025), (UIKTEN - Association for Information Communication Technology Education and Science). All Rights Reserved.

Achieving quality education is fundamental to enhancing individuals' lives and fostering sustainable development. By 2030, it is anticipated that the percentage of students attaining basic literacy levels by the end of primary school will rise from 51% in 2015 to 67%. In Mexico, 13.8% of young people face educational disadvantages, underscoring the urgent need for improvement. In this context, Industry 5.0 encompasses the collaboration between advanced technologies-such as Artificial Intelligence (AI)- and human expertise, including educators and students, to enhance the efficiency of teaching and learning. This paper aims to propose and validate a five-step methodology that integrates Design Thinking, Design of Experiments, and Artificial Intelligence to address a real-world challenge presented by a non-governmental organization (NGO). The challenge involves designing, constructing, and validating individual chairs and tables for 14 girls aged between 3 and 8 years, who are in vulnerable situations in Torreón. The research was conducted during the Design of Experiments for Engineering Innovation course at Tecnológico de Monterrey, involving 57 second-year engineering students. students employed a 2k factorial design to optimize materials and structures, while AI tools enriched the processes of ideation, visualization, and prototype validation characteristic of Design Thinking. This methodological combination fosters innovation and sustainability in applied engineering. The findings demonstrate students' deep understanding of the significance of integrating these three approaches to tackle realworld problems with substantial social impact. First, significant differences were found in the level of understanding before and after the course regarding the Design Thinking (d=-1.875; p < 0.05), Design of Experiments (d=-2.232; p<0.05), Sustainability (d=-1.142; p <0.05), and Artificial Intelligence (d=-1.143; p < 0.05) approaches. Second, between 80% and 90% of students considered the integration of Design Thinking, Design of Experiments, sustainability, and AI to be quite or extremely useful across all dimensions. It was also observed that the learning dimensions most impacted by the proposed methodologies were innovation (96.4%), multidisciplinary work (96.4%), and the capacity to solve real-world problems (96.4%). Likewise, 87.5% of students believed that the integration of the methodologies had a significant or exceptional impact on the development of the challenge. Furthermore, this research contributes to the academic discourse by presenting a concrete case study of education in the context of Education 5.0 and Industry 5.0, highlighting novel pedagogical strategies, the adoption and integration of technology, as well as active, challenge-based, and personalized learning. It also emphasizes social and emotional development, sustainability, and collaborative partnerships. Collectively, this research offers a valuable and timely perspective on the application of Industry 5.0 in education, considering the technological evolution associated with this new industrial era. © 2025 IEEE.

Traditional assessment methods struggle to authentically capture the practical application of competencies in complex learning environments such as SEL (Social-Emotional Learning) and CTE (Career and Technical Education). These fields require tools that go beyond self-reports or structured written assessments, which often miss the nuanced, context-driven ways students demonstrate skills. ZoneSight leverages generative AI to perform deep contextual analysis on unstructured data like audio and video, allowing for a richer, more flexible assessment of competencies that more closely reflect the authentic learning, while also introducing more objectivity and scalability to assessments in these fields. This paper presents early progress and preliminary results from ZoneSight, a tool designed to address this challenge by analyzing real interactions to extract insights into nuanced competencies, beginning with SEL. ZoneSight's scalable, psychometrically sound assessments align with the dynamic nature of SEL (current focus) and hold future potential for application in CTE environments. © 2025 IEEE.

There is great potential in the introduction of gamified, interdisciplinary learning approaches in various education environments. This paper explores the effectiveness of Musical Mastermind, a gamified educational tool combining music education and computational thinking to promote interdisciplinary learning. The game, which uses a microcontroller-based LED matrix, challenges students to decode musical sequences, bridging artistic creativity and logical problem-solving. Rooted in the constructivist and experiential learning theories, Musical Mastermind integrates gamification into education, aligning with STEAM principles to foster holistic skill development. The game combines music theory and coding, encouraging exploration, problem-solving, and collaboration. The study was conducted in a seventhgrade classroom using the micro:bit, a cost-effective microcontroller. The students began with an introduction to music and coding, and then created and decoded musical sequences while engaging in collaborative gameplay. A mixedmethods approach was employed, utilizing pre-and post-test assessments, observational analyses, and feedback surveys to evaluate learning outcomes. Results showed significant improvements in music theory comprehension, computational thinking, and problem-solving skills. The students demonstrated high levels of engagement, teamwork, and perseverance, with increased motivation and a stronger connection between music and technology. © 2025 IEEE.

This study investigates the relationship between teacher support, academic self-efficacy, and internship attendance in a cohort of application-oriented university interns in Wenzhou, China. With a quantitative research design, data were collected from 152 interns by means of online surveys employing validated instruments to measure the three variables under study. Using the application of multiple regression and bootstrap methods, findings indicated that teacher support was a predictor of internship participation (β = 0.485, p < 0.01), and academic self-efficacy was a partial mediator for this context (indirect effect β = 0.204, 95% CI [0.119, 0.338]). The findings suggest that the construction of strong support mechanisms for instructors, as well as the development of students' academic self-efficacy, can enhance internship results in higher education settings where practical applications are emphasized. Institutions of higher learning ought to implement specific strategies aimed at creating these factors in a bid to enhance the quality and effectiveness of their internship programs. © 2025 by author(s).