Engineering Students Research Articles

Overview of Knowledge about Basic Life Support (BLS) for Nature Lovers Students

Basic life support (BLS), comprising cardiovascular resuscitation and automated external defibrillator use, is not exclusively taught to health care workers but also to layman. BLS could save the lives of trauma and/or other emergency patients, particularly where health care facility is unreachable. Students’ mountaineering club members particularly are under constant risks of these conditions. There has been no study regarding BLS knowledge profile in North Maluku, especially among students’ mountaineering club members. Objective: To describe the level of knowledge about BLS among students’ mountaineering club members at Khairun University. Methods: This observational, descriptive, cross-sectional descriptive study was conducted on all students’ mountaineering club members at Khairun University in 2022. Analysis was performed using univariate analysis. Results: Among 123 respondents from 14 study programs, most were male (57,7%), were civil engineering students (22,2%), and had previous BLS training (87,8%). Regarding the level of BLS knowledge, 6,5% had good knowledge, 50,4% mediocre, and 43,1%had low level of knowledge. Conclusion: Most students’ mountaineering club members at Khairun University had mediocre level of knowledge regarding BLS. Further study is required to confirm this finding.

Behavioural Engagement in Visual Programming Online Course Gamification

Visual programming is one of the courses offered in the bachelor's degree in educational technology. Based on a survey in the field, almost 85% of educational technology students do not have a background in learning programming. To provide motivation in learning visual programming, gamification is required in implementation. Usually the gamification principle is held offline. This study aims to determine the behavioral engagement of students during lectures by implementing online gamification. The method used was a survey of 98 students who were taking classes at the 8th meeting. The results showed that empirically the level of student behavioral engagement in visual programming courses was good in the high and medium categories, although some were categorized as low. Hypothetically, students are taking lectures at high and moderate levels. The overall results are discussed in the discussion section of the article.

Insights into student perspectives regarding food fortification in a private medical and engineering college, Bhubaneswar, Odisha: a qualitative study

Food fortification is a crucial public health intervention aimed at addressing nutrient deficiencies and improving overall health outcomes. There is need in diet enhancement as macronutrient and micronutrient deficiency can lead to malnutrition in the long run. Young adults are the budding future of the community and their perception on food fortification and its adaptation can help the policy makers to generate better ways to implement it. This review article presents findings from a qualitative exploration of awareness regarding food fortification among students in a private college in Bhubaneswar, Odisha through an academic program. Through focus group discussions (FGDs), we investigated students' (medical and engineering) understanding of the advantages and disadvantages of food fortification. Among the medical students, 50% were aware about food fortification, 40% were in favour of it and only 10% had misconception regarding food fortification. Whereas, among the engineering students, 72.2% were aware, 45.45% were in favour and none had any misconception or myth related to food fortification. To create awareness and promote fortified food, engineering students suggested better ideas than medical students. This analysis revealed insights into perceptions, knowledge gaps, and potential strategies for enhancing awareness and promoting the adoption of fortified foods.

Hybrid Information Technology Learning Based on Project Work to Enhance Students' Design Thinking in Creating Digital Innovations

This study explores the effectiveness of a hybrid information technology learning model based on project work in enhancing students' design-thinking skills necessary for creating digital innovations. Traditional teaching methods have shown limitations in fostering essential design-thinking competencies among information technology students, necessitating innovative pedagogical strategies. Utilizing a quasi-experimental design, this research implemented a hybrid learning framework that integrates project-based learning (PjBL) with digital tools to offer a dynamic, student-centered educational environment. Over a two-month period, 80 information technology (IT) students from Mandalika University of Education were selected using purposive sampling and divided into an experimental group, who engaged in the hybrid model, and a control group, which continued with traditional methods. Data were collected using structured questionnaires pre- and post-intervention to assess various design-thinking skills, including creativity, collaboration, and adaptability. The data analysis involved descriptive statistics and analysis of variance (ANOVA) to compare the performance of the two groups. Results indicate significant improvements in the experimental group's design-thinking abilities compared to the control group, emphasizing the hybrid model's potential to effectively bridge the gap between conventional education and the requirements of the digital era. This study contributes to educational research by demonstrating that a well-structured hybrid learning environment can substantially enhance students' abilities to innovate and apply design thinking in real-world digital scenarios, suggesting a need for curricular adjustments that emphasize such integrative approaches in IT education.

Academic and Social Adjustment to Post-Pandemic Hybrid Learning: A Phenomenological Study of Filipino First-Year Engineering Students’ Experiences

Academic and Social Adjustment to Post-Pandemic Hybrid Learning: A Phenomenological Study of Filipino First-Year Engineering Students’ Experiences

AutoCAD Training and Introduction for JTSB Poliban Students

Training and introduction to AutoCAD applications for civil engineering students is an important step in improving students' skills and abilities in using software that is relevant to their field of study. In the implementation of Community Service this time, activities were carried out at the Modeling and Engineering Studio, Civil and Earth Engineering Department, Banjarmasin State Polytechnic on Monday, June 24, 2024. In this training, participants were introduced to the AutoCAD application, tools in the AutoCAD application, and the use and operation of the AutoCAD application in the field of Civil Engineering

Enhancing EMI learning through L1 use and ESP: A mixed-methods study in a Chinese transnational education context

This paper employs a mixed-methods design to investigate the supportive roles of the translanguaging practice, specifically the use of students' First Language (L1), and English for Specific Purposes (ESP) courses within the context of English Medium Instruction (EMI) in a Transnational Education (TNE) program in China. It involved collecting questionnaire responses from 268 undergraduate Chemical Engineering students and conducting 17 follow-up semi-structured interviews. The hierarchical multiple regression analysis revealed students' academic language-related challenges and ESP course performance were two statistically significant predictors of their EMI academic success; academic linguistic challenges and students' L1 use attitudes emerged as significant indicators of their EMI learning self-efficacy. Qualitative data analysis further uncovered students' positive beliefs regarding the bridging effects of L1 use on facilitating their EMI learning and the foundational role of ESP courses in linguistic preparation. These empirical findings lead to significant pedagogical implications, aiming to scaffold effective EMI learning in the investigated context.

Bridging Learning and International Practice for Enhancing Physics Education

This paper discusses the implementation and outcomes of an Erasmus+ Blended Intensive Program (BIP) focused on physics education. The program aimed to address the challenges faced by first-year engineering students in mastering physics through a combination of online and face-to-face phases. Participants included students and faculty from three European universities: the Hungarian University of Agriculture and Life Sciences (MATE), the Universitat Politècnica de València (UPV), and the Slovak University of Agriculture in Nitra (SUA). A survey was proposed to students to obtain information that would benefit future programs. Survey results revealed significant improvements in students’ social skills and a high level of satisfaction with the program’s organization and methodology. However, areas for improvement were identified, particularly in administrative processes. The study highlights the importance of international cooperation and collaboration frameworks to ensure the program’s effectiveness across diverse educational systems. Overall, the BIP provided a valuable educational experience that enhanced students’ theoretical knowledge, practical skills, and interpersonal abilities, demonstrating the benefits of integrating innovative teaching methods in higher education.

SOCIAL PORTRAIT OF A STUDENT OF THE ADVANCED ENGINEERING SCHOOL OF KAZAN FEDERAL UNIVERSITY

Background. In modern Russia, there is a task of creating a strong corps of highly qualified engineers capable of implementing the country’s scientific and technical strategies. Engineers should not only possess professional skills but also creative thinking to generate and implement innovative ideas. Purpose. The aim of the research is to develop and analyze the social portrait of students of the Advanced Engineering School “Cyber Auto Tech” of Kazan Federal University. Materials and methods. The study relies on an integrative approach that combines theoretical positions of psychology and sociology, as well as research methods of comparative analysis, modeling, and classification. Social statistics methods included surveying and data analysis. Results. The research revealed that the typical student of the Advanced Engineering School “Cyber Auto Tech” of Kazan Federal University is a young person aged 18-21 years, with high academic motivation and interested in receiving quality education. Students value the opportunity for budget-based education and the geographical proximity of the university, strive for professional development and financial stability. The research results emphasize the importance of adapting educational programs to modern requirements and challenges to support the youth in the engineering field and contribute to the development of the country’s technological and economic potential.

Thriving through trials and tribulations: the impact of the ‘Grand Challenge’ on engineering student resilience skills

ABSTRACT Resilience is considered of significant importance for student attainment and work-readiness. This study investigated the impact of Grand Challenge (GC) – an industry-based learning assessment for 1st and 2nd year Engineering students – on student resilience. Resilience scores and psychological distress were measured before and after the GC through questionnaires presented to students. Focus groups were conducted to assess GC’s effect on student resilience qualitatively. Resilience scores in the questionnaires decreased slightly after GC, possibly due to less students completing the post-GC questionnaire. Interestingly, when discussing GC in the focus groups, students did feel GC helped them develop their resilience and understood the impact of resilience on their future career. Overall, the findings help establish GC as a challenge-based learning (CBL) intervention and the extent to which such CBL assessments may affect student resilience skills. The study provides the groundwork for future resilience training and assessment in higher engineering education through CBL events.

The Impact of Digitalization on Industrial Engineering Students’ Training from the Perspective of Their Insertion in the Labor Market in a Sustainable Economy: A Students’ Opinions Survey

The Impact of Digitalization on Industrial Engineering Students’ Training from the Perspective of Their Insertion in the Labor Market in a Sustainable Economy: A Students’ Opinions Survey

One size doesn’t fit all: how different types of learning motivations influence engineering undergraduate students’ success outcomes

BackgroundMotivation is the inherent belief to guide students learning goals and behaviors to make continuous efforts and strengthen learning outcomes. Previous research reported the positive impacts of learning motivation on student success, but there have been limited efforts in systematically and structurally studying different types of motivations and their impacts on students’ success in engineering education. The current study contributes to the literature by systematically examining two important types of motivations and their influences on undergraduate engineering students in a theoretically grounded manner while using an advanced analytical approach.MethodsThe current study conducted a cross-sectional survey with undergraduate engineering students (n = 514) from 18 different schools across nine U.S. states. The survey assessed students’ self-report scores on six types of motivations to study developed based on formative research and the current literature and then collected students’ self-reported learning outcomes, current GPA, university satisfaction, engineering program satisfaction, and individual demographic factors. The data were then analyzed using structural equation modeling.ResultsThe results showed that motivations related to family, personality, and academic expectations were consistently positively associated with all measured students’ success outcomes; motivations related to educators were associated with all four outcomes but student GPA; motivations related to course contents were associated with learning outcomes and student GPA; and motivations related to peers did not predict any of the four measured students’ success outcomes.DiscussionWe explain some of the unexpected results with further literature that examines engineering culture and ecology. We also make recommendations related to cognitive training, tailored engineering education, peer culture interventions, and family orientation programs.

GEMINI GOOGLE: A POTENTIAL TOOL FOR ENGLISH LEARNING

Based on previous surveys, it is evident that Food Technology students at Thu Dau Mot University face challenges in learning English, such as limited vocabulary, weak grammar, inaccurate pronunciation, and poor listening and speaking skills. These can lead to declining academic performance and restricted career opportunities. The paper highlights the potential of Artificial Intelligence (AI) in overcoming these challenges. AI tools like Gemini Google can provide personalized learning experiences, improve interaction with the language, and offer immediate feedback. Gemini is specifically chosen due to its free access, Vietnamese interface, and support for over 40 languages. This study demonstrates that Gemini is an effective tool for undergraduate students, particularly those in Food Technology who have weak English backgrounds, to improve their English skills. Gemini improves vocabulary, grammar, speaking, listening, pronunciation, reading, and writing. It offers simple instructions and ideas in both English and Vietnamese, making it ideal for beginners, self-learners, and people with limited English proficiency. Unlike traditional learning, Gemini provides access at any time and from any location, as well as the ability to overcome shyness and blunders. Gemini's large, up-to-date database and user-friendly interface enable personalized learning paths and can be paired with other methods for best language learning. The study also proposes various strategies for utilizing Gemini Google to improve English learning effectiveness in areas like vocabulary, grammar, listening, speaking, reading, writing, and creating a positive learning environment. Furthermore, Gemini's value extends beyond languages, offering assistance in a variety of other areas

Bridging minds and machines in Industry 5.0: neurobiological approach.

In transitioning from Industry 4.0 to the forthcoming Industry 5.0, this research explores the fusion of the humanistic view and technological developments to redefine Continuing Engineering Education (CEE). Industry 5.0 introduces concepts like biomanufacturing and human-centricity, embodying the integration of sustainability and resiliency principles in CEE, thereby shaping the upskilling and reskilling initiatives for the future workforce. The interaction of sophisticated concepts such as Human-Machine Interface and Brain-Computer Interface (BCI) forms a conceptual bridge toward the approaching Fifth Industrial Revolution, allowing one to understand human beings and the impact of their biological development across diverse and changing workplace settings. Our research is based on recent studies into Knowledge, Skills, and Abilities taxonomies, linking these elements with dynamic labor market profiles. This work intends to integrate a biometric perspective to conceptualize and describe how cognitive abilities could be represented by linking a Neuropsychological test and a biometric assessment. We administered the brief Neuropsychological Battery in Spanish (Neuropsi Breve). At the same time, 15 engineering students used the Emotiv insight device that allowed the EEG recollection to measure performance metrics such as attention, stress, engagement, and excitement. The findings of this research illustrate a methodology that allowed the first approach to the cognitive abilities of engineering students to be from neurobiological and behavioral perspectives. Additionally, two profiles were extracted from the results. The first illustrates the Neuropsi test areas, its most common mistakes, and its performance ratings regarding the students' sample. The second profile shows the interaction between the EEG and Neuropsi test, showing engineering students' cognitive and emotional states based on biometric levels. The study demonstrates the potential of integrating neurobiological assessment into engineering education, highlighting a significant advancement in addressing the skills requirements of Industry 5.0. The results suggest that obtaining a comprehensive understanding of students' cognitive abilities is possible, and educational interventions can be adapted by combining neuropsychological approaches with EEG data collection. In the future, it is essential to refine these evaluation methods further and explore their applicability in different engineering disciplines. Additionally, it is necessary to investigate the long-term impact of these methods on workforce preparation and performance.

Application of Target Detection Based on Deep Learning in Intelligent Mineral Identification

In contemporary society, rich in mineral resources, efficiently and accurately identifying and classifying minerals has become a prominent issue. Recent advancements in artificial intelligence, particularly breakthroughs in deep learning, have offered new solutions for intelligent mineral recognition. This paper introduces a deep-learning-based object detection model for intelligent mineral identification, specifically employing the YOLOv8 algorithm. The model was developed with a focus on seven common minerals: biotite, quartz, chalcocite, silicon malachite, malachite, white mica, and pyrite. During the training phase, the model learned to accurately recognize and classify these minerals by analyzing and annotating a large dataset of mineral images. After 258 rounds of training, a stable model was obtained with high performance on key indicators such as Precision, Recall, mAP50, and mAP50–95, with values stable at 0.91766, 0.89827, 0.94300, and 0.91696, respectively. In the testing phase, using samples provided by the Geological and Mineral Museum at the School of Earth Sciences and Engineering, Sun Yat-sen University, the model successfully identified all test samples, with 83% of them having a confidence level exceeding 87%. Despite some potential misclassifications, the results of this study contribute valuable insights and practical experience to the development of intelligent mineral recognition technologies.

Developing a Quantitative Methods Course for Civil and Construction Engineering Students

The ability to apply quantitative methods to gather, review, analyze and draw conclusions from data to support decision making is an important skillset in the engineering profession. We developed a new three-credit hour undergraduate course to develop a deeper understanding and appreciation for basic quantitative methods for construction engineering students. The course’s main objective is to provide basic skills in quantitative methods, by familiarizing students with the critical steps in an analytical approach to decision-making. The course applies a hands-on approach to problem solving and decision making using various engineering-themed problems that practicing engineers are likely to face. The specific methods explored include; constructing quantitative models to include break-even analysis, decision trees, linear optimization, PERT/CPM schedule development and crashing, as well as Monte Carlo Simulation and sensitivity analysis to generate and interpret problem solutions. Instruction emphasizes a hands-on approach and practical assignments to develop a logical framework for describing and solving problems. This new course emphasizes Excel software rather than hand calculations and introduces use of Excel Solver and other data analysis tools.

The Influence of Augmented Reality Mobile App on Electronics Engineering Students' Self-Competence

Augmented reality (AR) is currently becoming educational trend by offering visualization of learning and making abstract concepts more concrete. Therefore, this research aimed to investigate the effect of AR technology based on mobile application on self-competence of electronics engineering students. It also considered the role of self-regulated learning, intrinsic learning motivation, and perceived usefulness as moderating factors. A cross-sectional survey with quantitative method was conducted on 848 electronics engineering education students at Universitas Negeri Padang, Indonesia. The data were obtained through questionnaires, and Structural Equation Model (SEM) analysis was conducted using SmartPLS 3. Furthermore, a fuzzy C-means clustering analysis was carried out using JASP software. The results showed that perceived usefulness had a significant positive effect on students' self-competence and moderated the significant positive relationship between self-regulated learning and self-competence. These empirical results showed that an improved level of self-regulated learning and beneficial application of technology could increase self-competence.

Digital Developmental Advising Systems for Engineering Students Based on Accreditation Board of Engineering and Technology Student Outcome Evaluations

The purpose of this research is to examine the benefits and limitations of the implementation of novel digital academic advising systems based on the principles of authentic outcome-based education (OBE) using automated collection and reporting processes for Accreditation Board for Engineering and Technology (ABET) student outcomes data for effective developmental advising. We examine digital developmental advising models of undergraduate engineering programs in two universities that employ customized features of the web-based software EvalTools®, including an advising module based on assessment methodology incorporating the faculty course assessment report, performance indicators, and hybrid rubrics classified according to the affective, cognitive, and psychomotor domains of Bloom’s learning model. A case study approach over a six-year period is adopted for this research. The two case studies present results of samples of developmental advising activity employing sequential explanatory mixed methods models using a combination of quantitative and qualitative analyses of a) detailed students’ outcomes and performance indicator information and b) self-evaluation of their professional development and lifelong learning skills. The findings of this study show that digital advising systems employing the faculty course assessment report using performance indicators and hybrid rubrics can provide comprehensive and realistic outcome data to help both developmental advisors and students easily identify the specific cause of performance failures, implement practical recommendations for remedial actions, and track improvements. Inherent strong skills can also be identified in academically weak students by observing patterns or trends of relatively better-performing outcomes to reinforce their natural affinity for learning specialized competencies to help them pursue related and successful career paths.

Social skills and mental health in young technical and technological students

La depresión, ansiedad y los trastornos del comportamiento se encuentran entre las principales causas de enfermedad y discapacidad en población joven, de ahí la pertinencia de indagar por el estado de las habilidades sociales y la salud mental. El tipo de investigación es cuantitativa no experimental, descriptivo-relacional, con una muestra de 179 aprendices (116 mujeres y 53 hombres), entre 16 y 25 años, de 12 programas técnicos y de tecnología. Se aplicaron los instrumentos SCL-90-R y la Escala de Evaluación de Habilidades Sociales en Adolescentes (EEHSA). Se detectó que, cuando existen habilidades sociales precarias, aumentan los factores de riesgo relacionados con la salud mental. Se concluyó que el desarrollo de habilidades sociales específicas está directamente relacionado con una mejor salud mental en estos jóvenes estudiantes, de ahí que sea necesario generar estrategias de detección temprana y/o promoción-prevención que mitiguen los factores de riesgo del contexto.

An Expert Usability Evaluation of a Specialized Platform for Designing and Producing Online Educational Talking Books

Educational institutions are increasingly using audio-based learning resources and technologies nowadays, especially for students who are auditory learners and visually impaired. The ability to design and create online educational talking books with a pedagogical foundation has become essential for students studying instructional and information technology in the age of digital learning. With the need to enhance such skills to target students in higher educational institutions, instructional and information technology students have no specialized platform for designing and producing an online educational talking book without web programming challenges. This study suggests a new specialized, web-based platform that can assist students in developing online educational talking books. In this study, fourteen instructional technology experts evaluated the proposed platform’s usability. An online questionnaire was utilized to gather data, applying qualitative and quantitative methodologies. The results show that the proposed platform is appropriate for creating and developing an online educational talking book for the intended audience of students. Furthermore, the suggested platform’s current version had a workable design that was appropriate for helping students acquire the necessary abilities.