Mechanical Engineering Students Research Articles

METHODOLOGY FOR TEACHING LABORATORY CLASSES IN PHYSICS THROUGH THE STEM METHOD

STEM (Science, Technology, Engineering, Mathematics) is designed to explore what information is available to mechanical engineering students in higher education institutions and what work is being done there. Nowadays, modern teaching methods are used in educational institutions, and one of such methods is the STEM method. Based on global experience, we know that this method is an interdisciplinary approach used to provide students with a broad and deep education in the sciences. The widespread use of information and communication technologies in the field of science education has led to the emergence of a new type of educational experiment - a virtual experiment. This is considered a form of virtual simulation of STEM technologies. The implementation of virtual laboratories using computer programs that simulate physical processes virtually on a computer and allow changing its operating conditions and parameters is a type of STEM method. Such a program creates a unique situation for the implementation of interactive learning. We reviewed scientific literature published in peer-reviewed, high-ranking journals on the development of problem-solving abilities in STEM-rich physics teaching. Based on STEM education, mechanical engineering students were given stages of teaching specific content topics related to curriculum concepts. In order to increase the effectiveness of teaching the STEM method in laboratory classes of the Faculty of Mechanics, an article devoted to this issue discusses ways to use interactive modeling PhET, Algodoo - a digital programming language for 2D physical modeling, computer modeling "Open Physics". programs. One of the main principles of STEM education is to teach future physicists to acquire industrial experience and methodologically sophisticated research methods. The second important issue is the development of industrial business, that is, access to new ideas in response to production problems. It can be seen that the results obtained during the study of the STEM method of teaching in laboratory classes at the Department of Mechanics show great interest in providing students with teaching aids. The information obtained as a result of the study is recommended for use in higher and secondary educational organizations, and these results are the basis for new directions of research in the field of physics education.

A Grounded Theory on the Research Conceptualization Process of Mechanical Engineering Research Students

Research conceptualization refers to the entire process of developing a research proposal. Although there is ample research on students' experiences and outcomes in undergraduate engineering research, little is known about the specific processes that students undertake when conceptualizing their research. This study aimed to explore the unique processes involved in research conceptualization among mechanical engineering students. Understanding these processes can facilitate the development of effective interventions to enhance undergraduate research experiences. The researchers analyzed data obtained from interviews with eight undergraduate mechanical engineering research students regarding their experiences with research conceptualization. A constructivist grounded theory approach was employed to identify and analyse statements from the interviews and develop a conceptual model of research conceptualization. Three major categories emerged in the analysis of the data: encountering barriers, expressing influencers, and employing strategies throughout the process. The barriers encountered by the students include personal challenges, technical challenges, and research management challenges. The following strategies are being employed: Establishing Criteria for Decision-Making, Developing Concept and Design, Identifying and Validating Problems, Literature Review, Utilizing Technology, Managing Tasks, Consulting People, and Modification of Existing Technology. Influencers can be classified as internal influencers and external influencers. The grounded theory of the conceptual model of research conceptualization offers a comprehensive understanding of the research process among engineering students. It emphasizes the dynamic and cyclical nature of research conceptualization, emphasizing the interplay between barriers, influencers, and strategies. Further research is required to explore the limitations and expand the applicability of this model.

Students’ use of large language models in engineering education: A case study on technology acceptance, perceptions, efficacy, and detection chances

The accessibility of advanced Artificial Intelligence-based tools, like ChatGPT, has made Large Language Models (LLMs) readily available to students. These LLMs can generate original written content to assist students in their academic assessments. With the rapid adoption of LLMs, exemplified by the popularity of OpenAI's ChatGPT, there is a growing need to explore their application in education. Few studies examine students' use of LLMs as learning tools. This paper focuses on the application of ChatGPT in engineering higher education through an in-depth case study. It investigates whether engineering students can generate high-quality university essays with LLMs assistance, whether existing LLMs identification systems can detect essays produced with LLMs, and how students perceive the usefulness and acceptance of LLMs in learning. The research adopts a deductive/inductive approach, combining conceptualization and empirical evidence analysis. The study involves mechanical and management engineering students, who compose essays using LLMs. The essay assessment showed good results, but some recommendations emerged for teachers and students. Thirteen LLMs detectors were tested without achieving satisfactory results, suggesting to avoid LLMs ban. In addition, students were administered a questionnaire based on constructs and items that follow the technology acceptance models available in the literature. The results contribute to qualitative evidence by highlighting possible future research and educational practices.

Student Satisfaction Classification Algorithm Using the Minority Synthetic Oversampling Technique

This study is based on the university students’ opinions on the social network Twitter, to learn the teaching performance in the context of virtual learning using sentiment analysis technique. However, to establishing the classification algorithm, an imbalance was evidenced in the amounts of opinions that qualify the teaching performance with the satisfied and dissatisfied class. Therefore, the objective of this investigation is to determine the improvement in the performance of the student satisfaction classification algorithm, based on the class balancing method from the application of the minority synthetic oversampling technique (SMOTE). From the methodological point of view, the research is a non-experimental design, applied type, and quantitative approach. The data was collected through the social network Twitter for fifteen weeks to a population defined by mechanical and electrical engineering students. After the application of the SMOTE data balancing technique, it was identified that the algorithm which presents the best performance is Logistic Regression. It was possible to identify that the impact of improvement of the algorithm turned out to be an average of 2.17% in the accuracy, 84.78% in precision, 42% in the Recall (Sensitivity) and 58.33% in the F1-score. Therefore, it is demonstrated that the algorithm classifies with high probability the opinions of the students.

Examination of Study Skills, Emotions, Engagement, and Academic Performance of Mechanical Engineering Students of CIT-University Taking Online Courses: Bases for Student and Faculty Development Program

Amidst the disruptive backdrop of the pandemic, faculty members are required to exhibit heightened awareness and adaptability in response to the challenges posed by the evolving academic landscape. Concurrently, students are tasked with cultivating resilience to effectively navigate their educational pursuits. To bolster the capacities of both faculty and students, a comprehensive exploration of various factors becomes imperative to grasp the intricacies of academic performance within the framework of online distance learning for undergraduate mechanical engineering courses. Scholarly literature suggests that academic performance is influenced by study skills, emotional well-being, and levels of engagement. By employing the revised Online Student Engagement Scale survey, data gathered from 243 students underwent meticulous analysis through Spearman rank-order correlation. This scrutiny unveiled a robust and affirmative correlation between students' study skills, emotional states, engagement levels, and academic accomplishments. Significantly, among these factors, student engagement emerged as the most influential predictor of elevated academic achievement. The research outcomes culminate in the formulation of a strategic intervention strategy. This strategy aims to augment the adeptness of both educators and learners in effectively navigating the realm of online learning. In conclusion, the upheaval caused by the pandemic underscores the urgency for faculty and students to adapt. Through an in-depth investigation, this study underscores the pivotal role of student engagement, alongside study skills and emotional well-being, in determining academic success. These insights guide the formulation of a targeted plan of action, poised to enhance the competence of both stakeholders in embracing the demands of online education.

Electroencephalogram Experimentation to Understand Creativity of Mechanical Engineering Students

Abstract Electroencephalogram (EEG) alpha power (8–13 Hz) is a characteristic of various creative task conditions and is involved in creative ideation. Alpha power varies as a function of creativity-related task demands. This study investigated the event-related potentials (ERPs), alpha power activation, and potential machine learning (ML) to classify the neural responses of engineering students involved with creativity task. All participants performed a modified alternate uses task (AUT), in which participants categorized functions (or uses) for everyday objects as either creative, nonsense, or common. At first, this study investigated the fundamental ERPs over central and parietooccipital temporal areas. The bio-responses to understand creativity in engineering students demonstrates that nonsensical and creative stimuli elicit larger N400 amplitudes (−1.107 mV and −0.755 mV, respectively) than common uses (0.0859 mV) on the 300–500 ms window. N400 effect was observed on 300–500 ms window from the grand average waveforms of each electrode of interest. ANOVA analysis identified a significant main effect: decreased alpha power during creative ideation, especially over (O1/2, P7/8) parietooccipital temporal area. Machine learning is used to classify the specific temporal area data’s neural responses (creative, nonsense, and common). A k-nearest neighbors (kNN) classifier was used, and results were evaluated in terms of accuracy, precision, recall, and F1- score using the collected datasets from the participants. With an overall 99.92% accuracy and area under the curve at 0.9995, the kNN classifier successfully classified the participants’ neural responses. These results have great potential for broader adaptation of machine learning techniques in creativity research.

Development of Used Cooking Oil Circulation Reactor for Biodiesel Production as Learning Media of Vocational Mechanical Engineering Student

This study aimed to develop and test the feasibility of a waste cooking oil-based biodiesel reactor prototype media used as a learning medium with a circulation system. The method in this research is Research and Development using the Waterfall model. The stages in the waterfall development model are (1) requirements definition including (needs analysis, analysis of used cooking oil characteristics, analysis of renewable energy, hardware requirements), (2) implementation and unit testing, (3) integration and system testing including: (testing the reactor, and testing the appropriateness of the media and materials), (5) operation and maintenance include: (testing the biodiesel reactor to students ). The research subjects were three lecturers as material expert validators and media experts and ten mechanical engineering vocational students as users to test the product's feasibility. The research results are as follows; development of biodiesel reactor media and results of feasibility research by media experts got an average score of 4.48 with the category "very feasible." Assessment by material experts got an average score of 4.5 with the category "very feasible," and ratings from users got an average score of 4.095 with the category " decent."

Design Thinking with ICT Tools: An Approach to Enhance Engagement in Design Problem and Practical Exposure

These instructions give you guidelines for preparing Abstract— Students were unable to gain exposure to think practically, solve real-world problems, and think critically in recent years following pandemic situations, so design thinking is a rapid change in engineering education strategies to increase students' engagement in imparting knowledge and skills remotely to the students. The traditional approach to teaching-learning strategies has given way to some advanced methods utilizing various modern approaches such as design thinking. The engagement of students actively and learning collaboratively with thinking ability is the major challenge in the learning of courses like metrology. The paper is a report on the author's use of the design thinking approach for the learning and active participation of third-year mechanical engineering students at Rajarambapu Institute of Technology in Rajaramnagar. This paper describes the use of the design thinking approach for the metrology course and summaries of students' active participation and improvement in terms of students' "Learning Coefficient (LC)" based on the responses collected. The learning coefficient is represented by a number ranging from 0 to 1, with 0 indicating fewer interactive sessions and 1 indicating extremely interactive sessions. These coefficients reveal how much learning is taking place. Furthermore, the impact assessment shows that course results and course outcome attainment were significantly improved. The students' feedback indicates that they had a great time and appreciated the opportunity to learn. Keywords— Collaborative learning; Course outcomes; Design thinking; Learning coefficient; Students’ feedback.

Evaluating Online Applications in Teaching and Learning English for Mechanical Engineering Students at Hanoi University of Industry during COVID-19 Period

Since the COVID-19 pandemic occurred, social fields ​​in general or education, in particular, have been affected considerably. Education, however, cannot or will not be interrupted due to this outbreak of infection. Specifically, face-to-face classes have been shifted to online ones. To maintain the effectiveness of learning and teaching English to students in the faculty of Mechanical Engineering, teachers have applied some applications, including Padlet, Google Classroom, and Quizizz. Quantitative and qualitative analysis methods will answer the research questions. The tools used for data collection are questionnaires and interviews. The authors conducted questionnaires and interviews with lecturers and second-year students of the Faculty of Mechanical Engineering at Hanoi University of Industry. This article focuses on evaluating the application of software in the online English teaching and learning process at ​​Hanoi University of Industry. Besides, this paper demonstrates the benefits and drawbacks of these interactive applications as well as suggests some effective solutions to help teachers facilitate students in learning English more successfully.

PELATIHAN DESAIN SOLIDWORKS 2D & 3D KEPADA SISWA MENENGAH KEJURUAN DI DESA SEGARAN

The world of education is currently facing an industrial revolution, for the younger generation it is necessary to prepare in terms of abilities in the computer field. For vocational students, the ability that must be improved is to be skilled at using computers to design as a development in drawing technique subjects. Based on the school's mission, one of which is to strive for the quality of vocational education services in accordance with the demands of the business community and the industrial world, so training on computer drawing techniques needs to be added specifically. One of the developments required is skillful use of SolidWork software. Students can improve their skills in using the software by participating in training held by Mechanical Engineering students at UNISMA BEKASI. SolidWork's training method uses direct instruction, which includes orientation activities, presentations, structured exercises, guided exercises, and independent exercises.

Effectiveness of Application Heat Transfer Practice Module in Retreading Technology

The phenomenon of heat transfer is a science that must be learned by engineering students. Retreading process is one of the heat transfer phenomena in the process of repairing damage to rubber tires in vehicles. This study aims to reveal the effectiveness of the use of the heat transfer practicum module in the retreading process of the inner tube. This type of research is R and D, where the module contains several test parameters which include; surface pressure, heating temperature and time, and dimensions of the patched rubber compound. The 20 respondents selected for this study were mechanical engineering students at PGRI Banyuwangi University. The test includes aspects of the suitability of practical procedures and cognitive abilities in describing the process and mathematical solving of the heat transfer rate for each experimental parameter. The results show that the heat transfer module developed is quite feasible to use, this is based on the results of measuring the satisfaction of respondents in general, assessing it very well with an average of 59.8%. While on the aspect of learning effectiveness, it can be concluded that the practice module is included in the very effective category, where this is shown by increasing the percentage of respondents' abilities which are shown through changes in values before and after the implementation of the module.

Exploring multidisciplinary teamwork of applied physics and engineering students in a challenge-based learning course

ABSTRACT Background In responding to the global problems facing humankind, there is great value in equipping science and engineering students with skills to function well in multidisciplinary teams. Little attention has been paid into the factors that influence multidisciplinary collaboration and teamwork of science and engineering students. Purpose This research describes multidisciplinary teamwork of applied physics and mechanical engineering students in a challenge-based learning (CBL) course. The study aimed to: a) identify the facilitators and barriers to multidisciplinary teamwork and b) explore learning outcomes connected to working in multidisciplinary teams. Sample 30 students registered to the course, two teachers, and three tutors participated in this research. Design and Methods An instrumental case study was conducted in the context of a pilot CBL course. Data included interviews, reflection reports, observations, and design posters. Transcribed video recordings were searched in an attempt to demonstrate the codes revealed with the qualitative content analysis of interview transcripts and reflection reports. Results The results indicated knowledge acquisition, application, and an awareness of other disciplinary approaches as the learning outcomes with some differences for engineering and physics students. The findings also yielded individual (e.g. knowledge of control theory), team (e.g. disciplinary perspectives), and course factors (e.g. disciplinary connections to the challenge) that influenced multidisciplinary teamwork. Conclusion Multidisciplinary teamwork is supported by the unique ways of thinking and approaching problems of the two disciplines. Implications contribute to future research and thinking for similar learning environments while improving student learning in multidisciplinary teams.

Assessment of Using Software for the Acquisition of Problem-solving Skills in Mechanical Engineering Students

Objective: To investigate the effect of using mathematical software as a tool to develop problem-solving competence in mechanical engineering students. Methods: A group of 59 students were evaluated using a test consisting of four technological problems related to Bloom´s taxonomy levels of understanding and application. Interpretation and explanation questions were used for the understanding level, and execution and implementation questions were used for the application level. First, the students tried to solve the problems by manual calculations; then, after brief instruction, they tried to solve them by coding using mathematical software. Results: Successful problem solutions increased from 72 to 93%, 15 to 62% and 13 to 26% of the students’ totals in interpreting, explaining, and implementing situations, respectively, but there was a 55 to 44% regression in regard to execution. Better results in understanding questions with respect to applying questions could be due to the increase in difficulty at the taxonomy level. Conclusion: The current study demonstrates the convenience of using computational tools to facilitate the application of mathematical techniques in problem solving and to improve the learning of engineering students.

Development of learning materials for English Engineering Course: ESP (English for Specific Purpose) with a Functional Contextualism Approach for Mechanical Engineering students of South Aceh Polytechnic

The students of mechanical engineering at vocational college must be able to communicate in English, both written and spoken, using the specific term related to their department, and need to learn vocabulary with the integration of technology to confront the world of work. The study aimed to develop the English learning materials for specific purposes specifically for mechanical engineering students through functional contextualism approach. The study employed the qualitative descriptive method. The subjects of this study were English lecturers and mechanical engineering students of the South Aceh Polytechnic in grades II. The data were collected by interviews, observations, and questionnaires. Data analysis with data classification, transcription, verification, and conclusions. The results of the study showed that development of English language teaching materials for mechanical engineering study programs based on the ESP and functional contextualism approach includes in the form of textual development packages, namely (1) textbooks (2) lecturer guides and (3) student guides. The purpose of the development is that learners can improve the quality of their learning outcomes in English Engineering and use them in the workplace (market place). In other words, the material also develop based on the context of their surroundings, like integrated approaches, functional contextualism blends sociocultural and historical context, but with the pragmatic and scientific aims of behaviour analysis. In addition to taught and constructed learning, functional contextualists suggest functional change in meaning is the process of recontextualization.

Influence of mathematics on the academic performance of mechanical engineering students: a PLS-SEM approach

Influence of mathematics on the academic performance of mechanical engineering students: a PLS-SEM approach

Edupreneurship implementation through teaching factory on mechanical engineering competence

This study aims to (1) Describe how the edupreneurship implementation Through Teaching Factory (TEFA) on the mechanical engineering expertise competence at SMK Muhammadiyah 1 Sukoharjo; (2) Describe the factors supporting the successful implementation of edupreneurship through teaching factory on the mechanical engineering expertise competence at SMK Muhammadiyah 1 Sukoharjo; and (3) Describes the contribution of the edupreneurship implementation through the teaching factory in fostering an entrepreneurial spirit in mechanical engineering students at SMK Muhammadiyah 1 Sukoharjo. This qualitative research used a descriptive approach. The data were collected by interview, observation, and documentation. The informants comprised principals, vice-principals of curriculum, heads of engineering expertise programs, productive teachers, and students. The data analysis technique employed interactive analysis techniques, starting from data collection and then the data were reduced; after being reduced, the data were presented, and the last was verification. The data validity was then tested by triangulation of sources. The findings in this study revealed that (1) In terms of planning, organizing, implementing, and monitoring/evaluating, the edupreneurship implementation through teaching factory on the mechanical engineering expertise competence at SMK Muhammadiyah 1 Sukoharjo has been going very well by producing medical device products, especially patient beds that were produced and have been marketed to PKU Muhammadiyah Hospital in Central Java; (2) The factors driving the success of edupreneurship through technology factory comprised: quality educator resources, adequate infrastructure both in quantity and quality, standard operating procedures according to industry standards, quality products, and a well-established product marketing network; and (3) The edupreneurship implementation through the teaching factory contributes to fostering an entrepreneurial spirit by directly involving students in planning, production, and marketing.

Exploring an Engineer’s Role in Society: Service Learning in a First-Year Computing Course

Contribution: This article measures the impact of a service-learning project in a first-year introduction to computing course on students’ understanding of engineers’ roles and responsibilities and their attitudes toward plastic pollution. Background: Service learning has been integrated into classrooms for many years, but its utilization in engineering courses is lacking. Furthermore, plastic pollution is a complex and multidisciplinary problem that requires social, political, environmental, and engineering solutions. This work provides a quantitative assessment on whether service learning through a litter pickup project impacts students’ views of the role of engineers in solving complex sociotechnical problems. Research Questions: 1) How does service learning change students’ perception of an engineer’s role in solving sociotechnical problems? and 2) how can service learning be used to increase students’ environmental awareness and action? Methodology: Surveys were administered to students before and after their participation in a service-learning project. The study was conducted across five sections of an introduction to a computer programming course that is required of first-year civil, electrical, and mechanical engineering students. Findings: After the service-learning project, students were more likely to agree that engineers have the skills, knowledge, and responsibility to solve societal problems. Students also demonstrated a more holistic understanding of plastic pollution and reported changes in their waste reduction behaviors.

Improvement of a cashing trainer assembly methodology for FPGA development in vocational education students

Learning media is defined as a tool used in conveying learning messages to students. Teachers or lectures can use the media to stimulate thoughts, feelings, attention and abilities or skills, and one of them is the use of trainers. The development board FPGA of trainer tools for skill learning in digital technology-based vocational education today has been a problem that obstructs the growth of experts in high-tech-based vocational field.The Spartan development board and its software can be used to elaborate the improvement of skill learning. This research analyse how the development board can be used to enhance students’ thinking skill. The trainer tools in the market lately are still in the form of a mother board that can be interfaced with various devices commonly used to perform various digital automation technology. This study elaborates the use of the cashing trainer assembly among electrical engineering students and mechanical engineering students in a joint project to assembly a development mother board.The learning media is also used in group training among the peers.Based on trials and observations made by researchers, the students as the object of research results, have not performed optimally to combine planning of cashing trainer assembly methodology and practice in the assembly.

ARC WELDING EDUCATION: MOBILE ARC WELDING LEARNING APP TO IMPROVE STUDENTS’ MOTIVATION

All Mechanical Engineering students studying in Malaysian polytechnics have to take welding as a core subject. They will learn the basic theory in the classroom and proceed with instruction-based training in the workshop. With limited learning time in the classroom, students find it difficult to follow and understand everything that has been taught. Furthermore, welding is dangerous for beginners and the environment is hazardous to health. If students are not well prepared before going to the workshop, this might jeopardize themselves as well as the welding equipment. To help students be better prepared, a supplementary learning method is needed and the Mobile Arc Welding app has been introduced to them. A study has been conducted to determine whether the app contributes to the students’ learning process. The study was carried out among 67 mechanical engineering students of a polytechnic. The analysis involved Pearson Correlation and Regression in determining the impact of engagement, ease of use, learnability, satisfaction and usefulness on students’ motivation through the use of a welding app. The findings show that there are empirically positive and substantial correlations between motivation and engagement, satisfaction, and usefulness. However, there was no evidence of a positive and significant relationship between ease of use and learnability and welding learning motivation.

TEACHING ESP USING MYKLASS IN UNIVERSITAS MUHAMMADIYAH YOGYAKARTA: STUDENTS’ PERCEPTION

Many non-English departments study English for Specific Purposes (ESP) to improve students' vocabulary related to their field. UMY has established a program called MyKlass as a facility to do online learning. This program provides many features, such as sharing materials in the form of documents, pictures, or media; conducting quizzes; assignment submission; and attendance. However, teaching ESP using MyKlass also faces some difficulties such as students' motivation to read the material, the teacher's control in evaluating students' study progress, and students' problem in improving English vocabulary in specialized language. Using a questionnaire distributed to 234 Accounting and Mechanical Engineering students, the writers found out the students' perception of using MyKlass from their motivation and perception in learning ESP using MyKlass, their perception of the aspects of benefits, and their perception of learning ESP Using MyKlass. Most of the answers showed positive responses; therefore, we can conclude that ESP online learning using MyKlass has been very beneficial to the students regardless of the technical problems that students sometimes encounter.