Faculty Of Engineering Research Articles

Condition Surveys as the Basis for Scientific Research and with the Aim of Conserving Torso Buildings

Condition surveys are an important part of the whole scientific research of torso buildings, which we understand to be buildings with usually missing roofs, wooden ceilings, doors, windows, and other envelope constructions along with damaged internal and external infrastructure and surfaces. The aim of the processed condition surveys is to gather basic data on the technical state of the buildings. Torso buildings are, in our environment, especially the ruins of castles and manor houses, but also some churches, the remains of industrial enterprises, or even others. The proposed condition surveys can be used at any of them, not only in our country, but also in any other country of the world. The processed system of condition surveys allows us to anticipate further damage to architectural heritage buildings caused by their aging. It can contribute in a major way to the identification of eventual construction risks and to anticipate them. Condition surveys are designed as a quick, cheap, and easy to handle way to gather the basic overview needed for undertaking a basic stabilization of the most endangered parts of the ruins. In the next step, further scientific research using instruments i.e., in laboratories, can be undertaken. It is also important to know which parts of the torso buildings are dangerous and can endanger not only visitors, but also scientists realizing research on site. The first goal of the project focused on bettering of the stability of the torso buildings, especially ruins of castles, which was granted by the Slovak Ministry of Culture to elaborate and prepare a system for the identification of the most endangered parts of the ruins, which are in danger of dilapidation soon. The second goal was focused on preparing source material for further scientific research of the torso architecture. Experts from the Faculty of Civil Engineering of the Slovak University of Technology, with the cooperation of experts from praxis and from the Architectural Heritage Protection Office prepared a system for judging the construction details of torso buildings from the point of view of their construction–technical state. The aim of this judging lies in identifying the parts of their constructions that are most endangered by decay. Based on the condition survey results, conservation activities can be organized to save valuable details of the torso buildings before destruction and to protect the visitors of such localities before injuries, maybe even tragic injuries.

Timbulan Air Limbah dan Unit Instalasi Pengolahan Air Limbah pada Fakultas Teknik Universitas Panca Bhakti Kota Pontianak

This study aims to analyze wastewater generation and design an appropriate domestic Wastewater Treatment Plant (WWTP) for the Faculty of Engineering at Universitas Panca Bhakti Pontianak. With the campus population growth, the volume and complexity of the wastewater produced also increase. Without adequate management, this wastewater poses a potential threat to the surrounding environment. Primary data were obtained through field surveys, while secondary data were collected from water usage records and building user counts. The treatment system was designed considering key pollutant parameters to ensure compliance with applicable quality standards. Analysis indicates that a combination of biofilter and aeration systems effectively reduces primary pollutant parameters. The findings of this study are expected to support campus environmental sustainability and provide a model for WWTP implementation in other educational institutions. Further research involving domestic wastewater sampling from the faculty is recommended to optimize the WWTP design based on specific wastewater characteristics.

Метод разработки интеллектуальных тренажёров на основе онтологии предметной области

In academic disciplines, students are required to learn many new concepts, which necessitates extensive training with feedback. An intelligent simulator enables students to practice solving simple problems while receiving explanations for their mistakes, allowing teachers to focus on addressing more complex issues during lessons. This paper presents a method for developing intelligent simulators based on the ontology of the subject domain, implemented as web appli-cations suitable for both classroom and extracurricular use. Representing the problem and the subject area model in RDF format enables logical inference using the Apache Jena Reasoner inference engine. An example is provided of an intelligent simulator designed for learning the order of operations in expressions, supporting the C++, C#, and Python programming languages. The simulator can explain errors, generate explanatory hints, and engage in educational dia-logue through guiding questions. The simulator was tested with undergraduate and graduate students of the Faculty of Electronics and Computer Engineering at Volgograd State Technical University. Most students found the simulator to be more useful than traditional training tests. It can be employed both for independent study and as part of the educa-tional process in classroom settings.

Professional development for faculty in Uzbekistan

This ethnographic case study focuses on adult learners in a professional development grant program. The program applied the ADDIE model to train faculty in Uzbekistan to conduct research, write for academic audiences, and publish in top-tier academic journals. Agricultural and biosystems engineering and English faculty members at a US Midwest university forged an interdisciplinary partnership to virtually deliver a 5-month program to an initial cohort of 68 participants. Topics included research ethics, experimental and survey research design, and structure of scientific papers, among others. The pre- and post-tests objectively measured material covered in the curriculum. Post-test scores from 18 participants showed improvement (n = 11), no change, (n = 4), or lower scores (n = 3). Regardless, the granting agency was pleased with the implementation of the project. This manuscript informs future collaborators on successful procedures, such as training models and virtual delivery, and opportunities for improvement, including English language proficiency, eligibility standards, and emphasizing research ethics.

Factors Associated with the Year of Admission and The IQ of Engineering Students at A Public University in Peru

This study investigates the evolution of intelligence quotient (IQ) among students in the Faculty of Industrial Engineering at the Universidad Nacional Mayor de San Marcos. The aim is to determine the influence of three factors on IQ: age, year of study, and month of university enrollment. Data was collected from a group of students using the Wechsler Adult Intelligence Scale (WAIS-IV), a standardized instrument for assessing general intelligence in individuals aged 16 to 90. An orthogonal experimental design was employed to compare mean IQ scores across different groups defined by age, year of study, and their combinations, using a three-way analysis of variance and interaction plots. Results confirm the influence of both age and year of study on IQ, as well as the existence of an interaction effect between both variables. These findings suggest that both natural cognitive development and exposure to academic training contribute to changes in IQ throughout the university trajectory. Additionally, an opportunity is identified for future research to delve deeper into the underlying mechanisms of these changes and explore strategies to optimize students' intellectual development.

Artificial Intelligence in Higher Education: Proposal for a Transversal Curricular Unit

Abstract Given the very recent appearance and rapid dissemination of tools based on artificial intelligence (AI), particularly the ChatGPT application, and the inevitability of their installation in the lives of students and professors, this article proposes the creation of a new “transversal skills” curricular unit to be taught to students in the Engineering Programs at the Faculty of Engineering of the University of Porto. Given the “revolution” that these AI-based tools can represent, it is important to reflect on what they constitute, how they can support professors in their teaching tasks, how they can support students in acquiring and interrelating knowledge and developing their competences, and how they can shape assessment processes. This article begins by analyzing the characteristics, potential and limitations of AI and the importance of developing AI-related transversal skills in higher education, followed by examples of the application of AI-based tools in science, technology, engineering, and mathematics (STEM) courses. Finally, the design of an AI-based curricular unit is proposed, as well as a methodology for identifying, assessing and mitigating the effects of biases in AI applications in curricula. Despite this proposal is directly applicable to STEM courses, it can be easily adapted to other areas of study.

Формирование гуманитарного мышления у будущих инженеров-строителей в процессе изучения общеинженерных дисциплин

In modern conditions of the need to increase the prestige of an engineer and build innovative engineering in our country, there is a great demand for a professional with humanitarian thinking. Such thinking allows solving engineering problems taking into account the value-semantic component and subjective factors. As the analysis of the existing system of training future engineers shows, the task of forming humanitarian thinking in students is not actually set, and the humanitarization of engineering education is correlated either with an increase in the share of humanitarian disciplines, or with forms of the educational process that involve training some universal skills. The problem of the research is to identify, from the standpoint of the methodology of the humanitarian-anthropological and metacognitive approaches, the features of the formation of humanitarian thinking in future civil engineers. In the context of this methodology and based on the analysis of scientific literature devoted to the phenomena of humanitarianism, humanitarian knowledge, thinking and humanitarian thinking, the concepts of "humanitarian thinking" and "humanitarian engineering thinking" are clarified. The novelty of the study is that the experience of humanitarian thinking is revealed in conjunction with the metacognition of the individual and is substantiated as a humanitarian component of the content of engineering education. The conditions for the formation of humanitarian thinking in future civil engineers in the process of studying general engineering disciplines are identified. Such conditions are associated with: the inclusion of dialogic situations in the educational process, the basis of which are metacognitive cues; metaphorization of the material of academic subjects in the course of cognitive activity; the implementation of textual-dialogical technology in classes as the leading pedagogical means of forming the quality under study and a way of actualizing the position of the subject of thinking in students. The article presents the data of a diagnostic survey devoted to identifying the level of humanitarian thinking in 185 students of different courses of the engineering and technology faculty of Kalmyk State University. The results of a formative experiment are presented, which confirmed the provisions of the research hypothesis concerning the change in the qualitative attitude to the profession among students in connection with the experience of humanitarian thinking and the dependence of the level of such thinking on the skills of metacognitive cognition.

Differences in User Perception of Artificial Intelligence-Driven Chatbots and Traditional Tools in Qualitative Data Analysis

Qualitative data analysis (QDA) tools are essential for extracting insights from complex datasets. This study investigates researchers’ perceptions of the usability, user experience (UX), mental workload, trust, task complexity, and emotional impact of three tools: Taguette 1.4.1 (a traditional QDA tool), ChatGPT (GPT-4, December 2023 version), and Gemini (formerly Google Bard, December 2023 version). Participants (N = 85), Master’s students from the Faculty of Electrical Engineering and Computer Science with prior experience in UX evaluations and familiarity with AI-based chatbots, performed sentiment analysis and data annotation tasks using these tools, enabling a comparative evaluation. The results show that AI tools were associated with lower cognitive effort and more positive emotional responses compared to Taguette, which caused higher frustration and workload, especially during cognitively demanding tasks. Among the tools, ChatGPT achieved the highest usability score (SUS = 79.03) and was rated positively for emotional engagement. Trust levels varied, with Taguette preferred for task accuracy and ChatGPT rated highest in user confidence. Despite these differences, all tools performed consistently in identifying qualitative patterns. These findings suggest that AI-driven tools can enhance researchers’ experiences in QDA while emphasizing the need to align tool selection with specific tasks and user preferences.

Sistem Chabot Layanan Informasi Mahasiswa Menggunakan Algoritma Long Short-Term Memory

In the era of globalization and rapid information flow, the demand for efficient and accurate information, especially within academic institutions, is rising. Students often face challenges in accessing educational resources and real-time information, particularly outside official working hours. Existing online information services have limitations in providing continuous access. This research focuses on developing and evaluating a student information service chatbot system at Universitas Jenderal Achmad Yani Yogyakarta (UNJAYA) using the Long Short-Term Memory (LSTM) algorithm. The primary objective is to create a system that delivers real-time, accurate, and efficient information services to students. The Machine Learning Development Cycle (MLDC) is employed in the model development process, including stages such as data collection, processing, model training, evaluation, and implementation. The system's performance is tested using a questionnaire distributed to students, with responses measured on a Likert scale. The results demonstrate a chatbot with a 97.76% accuracy rate, 98.34% precision, and 97.76% recall. The overall system evaluation yielded an average score of 3.87, categorized as good. This research concludes that the LSTM-based chatbot successfully enhances information services at the Faculty of Engineering and Information Technology, providing an innovative solution to meet student needs in real-time

Pelatihan Mikrokontroler Dasar Arduino UNO dan Simulasi Tinkercad

The Electrical Engineering study program of the Faculty of Engineering, Atma Jaya Catholic University of Indonesia has been collaborating with Harapan Bagi Bangsa Christian Middle School, Cilincing, North Jakarta for several years in an extracurricular program for junior high school students, as a form of community service from Electrical Engineering lecturers. The extracurricular activity program implemented is in the form of basic electronics training. The theme of the activity varies, according to the requests and needs of the partner schools. The first activity is to provide basic electronics skills training to students. This program received a very positive response from teachers and students. From the evaluation results of previous activities, all students wanted training activities with advanced materials. The training provided is an introduction to basic Arduino Uno microcontrollers using Tinkercad simulation software. The purpose of this activity is to conduct training on the introduction and how to program the Arduino Uno microcontroller to turn on Light Emitting Diodes (LEDs). The training was carried out at Harapan Bagi Bangsa Christian Middle School. The training began by assembling the resistor and LED components on the project board. After all the components were installed, an Arduino Uno microcontroller program was created to turn on the LEDs alternately according to the order of the program created. The training used Tinkercad simulation software and the Arduino Uno microcontroller board. From the results of the student evaluation, 92.2% of students gave good and excellent ratings, while 7.8% gave neutral ratings for this training.

Creation of an ICT appropriation unit as a mechanism for relating with the environment. Case: Faculty of Telecommunications Engineering of the University of Santo Tomas

Creation of an ICT appropriation unit as a mechanism for relating with the environment. Case: Faculty of Telecommunications Engineering of the University of Santo Tomas

The lack of terminal efficiency of the students of the 2018-2022 generation of the Faculty of Engineering of the Universidad Autónoma de Campeche

The research addresses academic completion in the Faculty of Engineering of the Autonomous University of Campeche (UAC) during the 2018-2022 generation, especially affected by the COVID-19 pandemic. Despite the reputation of the UAC and its efforts to maintain educational quality, several causes are identified that contribute to low terminal efficiency. A quantitative and descriptive approach was used, surveying 200 students about various factors such as academic support, study conditions, and the effectiveness of online classes. The results indicate that many students faced difficulties such as lack of devices, internet connectivity problems, and loss of family employment, which impacted their ability to complete their studies. In addition, the lack of teaching support and emotional problems were also relevant factors. It is concluded that, despite the UAC's efforts to mitigate the impact of the pandemic, the combination of internal and external factors limited the terminal efficiency of this generation. Possible solutions are suggested to improve the academic situation of students in the future.

Use of Generative Artificial Intelligence in Teaching and Learning: Engineering Instructors' Perspectives

ABSTRACTAdvancements in generative artificial intelligence, particularly ChatGPT, are increasingly influencing engineering education. Engineering instructors have noticed their students using this technology and are beginning to understand its effects on learning and teaching. While research has explored its impacts on general education, few qualitative studies examine engineering instructors' perspectives on how it affects both students and instructors. This qualitative study gathers engineering instructors' views on how ChatGPT affects and could affect their teaching and students' learning experiences. Engineering faculty were invited to participate in Zoom interviews. They were asked questions about their experiences with ChatGPT in their courses. The data collected were analyzed inductively to identify themes. Instructors likened ChatGPT's impact on education to the introduction of calculators, noting its potential to ease academic tasks. They highlighted its benefits in drafting, outlining, and correcting grammatical errors. However, concerns were raised about the quality of ChatGPT's output due to possible inaccuracies (hallucinations) and the risk of students over‐relying on the technology, thus avoiding genuine learning. Instructors recommended that students use ChatGPT as a supplementary tool, verify the information it provides, and that instructors educate students on its limitations and proper use. The overall outlook on ChatGPT in engineering education is positive, with instructors open to its integration in the classroom. Despite growing research on ChatGPT and engineering education, further studies are needed to assess its effectiveness across different course levels. This would help institutions and professors implement ChatGPT appropriately in various subjects and levels.

Peramalan Jumlah Penerimaan Mahasiswa Baru Fakultas Teknik UKI Toraja dengan Metode Single Exponential Smoothing

This study examines the effectiveness of the Single Exponential Smoothing method in forecasting the number of new student admissions at the Faculty of Engineering, Christian University of Indonesia (UKI) Toraja. This study analyzes historical data on student admissions for 11 academic years, from 2013/2014 to 2023/2024, covering four study programs, namely Mechanical Engineering, Civil Engineering, Informatics Engineering, and Electrical Engineering. The research methodology includes problem identification, data collection, analysis using the Single Exponential Smoothing method, and accuracy testing with Mean Squared Error (MSE). This study tested three values of alpha (α) = 0.1, 0.5, and 0.9. The results showed that the use of alpha = 0.9 resulted in more accurate forecasting for all study programs. This level of accuracy is validated through the lowest MSE scores, namely Mechanical Engineering of 1450.61 (prediction of 159 students), Civil Engineering of 10890.23 (prediction of 147 students), Informatics Engineering of 4332.86 (prediction of 247 students), and Electrical Engineering of 674.66 (prediction of 49 students). The comparative graph analysis of the forecast results with the actual data is consistent showing that alpha = 0.9 produces the trend closest to the actual data for all study programs. The practical implications of this study include the potential to improve the accuracy of capacity planning, more efficient resource allocation, and improve the quality of engineering at the Faculty of Engineering, UKI Toraja. These results also highlight the importance of proper selection of alpha parameters in the Single Exponential Smoothing method to optimize forecasting accuracy.

Effect of Priming on the Phenology, Growth, and Yield of Bambara Groundnut (Vigna subterranea (L.) Verdcourt)

The Bambara Groundnut (Vigna subterranea (L.) Verdc) is a neglected crop species' third most important legume. It is cultivated for its numerous benefits. However, in the current context of decreasing rainfall, seed germination is often slow or even absent, leading to low yields. This study aims to evaluate the effect of seed priming on the phenological, growth, yield parameters, and yield components of Bambara groundnut cultivars under real field conditions during the 2023 rainy season. The experiment was conducted at the experimental station of the Faculty of Science and Technology, Abdou Moumouni University of Niamey (Niger). The experimental design used was a factorial randomized block design with three replications. Three treatments were compared: (i) soaking seeds in tap water for 12 hours, (ii) soaking seeds in tap water for 24 hours, and (iii) a control group without soaking. The results showed a significant difference between treatments for the time to emergence (P = 0.016), flowering (P = 0.001), and the date of 50% flowering (P = 0.0013). No significant differences were observed among cultivars for these parameters. Priming did not considerably affect LAI (leaf area index) across cultivars and treatments. Regarding yield and yield components, soaking for 24 hours resulted in significantly higher values, except for dry biomass yield.

Re-Engineering the Culture: Perspectives of the Feminine-Identifying and Queer Engineering Student

The inclusion of queer and feminine-identifying students in science, technology, engineering, and mathematics (STEM) is an issue which expresses ample discussion, yet little action. Students belonging to these groups face barriers relating to identity of group and self, peer exclusion and intolerance, and trivialization of their work. This paper reviews the literature of 21st century United States and Canada on this topic, expanding into closely related topics, including underrepresentation, cultural cis-heteronormativity, essentialism, and marginalization. It reveals the firsthand experiences of students affected by the cultures of their engineering faculties, as well as their attempts to either persevere through the repression of identity or remain sidelined by their environment. This narrative literature review provides solutions based on research, including EDI curriculum implementation, supportive student clubs, queered survey methods and moderated language. These solutions offer direction for future research efforts and provide methods on scales small or large to improve inclusion in engineering education.

Four or five years: An examination of the motivations for selecting undergraduate engineering program length and impacts on student wellness.

The University of Prince Edward Island’s (UPEI) Faculty of Sustainable Design Engineering (FSDE) is unique in offering the undergraduate curriculum in both Four- and Five-Year degree plan lengths. The purpose of this study is to examine 1) the motivations for selecting and 2) impacts of degree plan length on UPEI FSDE student wellness. An anonymous, voluntary survey (REB approved) was developed and administered to approximately 200 undergraduate students during the Fall 2023 semester. Preliminary analysis found approximately 75% of undergraduate FSDE students follow the Five-Year degree plan option. Further, approximately 50% of respondents selected academic workload as the primary driver for their degree plan choice. The Five-Year degree plan length was the option of choice for UPEI FSDE students, with workload being the primary motivation for the selection. These findings help provide insight into how to better serve students and provide meaningful evidence to support curriculum design for fostering student wellness.

Development of a Support Program to Enhance the Experience of Undergraduate Engineering Summer Research Students

The University of Toronto Faculty of Applied Science and Engineering offers strong support for undergraduate students to participate in experiential opportunities outside of the classroom, in particular summer research. The Undergraduate Summer Research Program (USRP) was created to promote development of ‘success skills’ that enhance students’ research experience and build community through weekly sessions led by faculty experts. The experience culminates with research outcome dissemination at the annual Undergraduate Engineering Research Day. Since 2020, the USRP has evolved to in-person and seen a steady increase in student participation. Anonymous participant survey data indicates greatest appeal for students having just completed their second year of study. Engagement has been observed to change post-COVID as specific in-person departmental activities have resumed. Students participating regularly find positive support for their research experience and demonstrate success in dissemination, indicating sessions are helpful and interesting. There is also appreciation for peer-community from across the engineering disciplines. Four summers of USRP execution allow for shared recommendations in creating such a program.

Dashboard Design to Monitor the Number of Students of the Faculty of Information Technology, Tarumanagara University

Students in a study program in the faculty as one of the stakeholders have an important role in higher education. The continuity and smoothness of teaching and learning activities depend on the number of students in a study program. Faculty of Information Technology Tarumanagara University currently has two study programs: Informatics Engineering and Information Systems. Tarumanagara University already has a system that is used to manage student data, but the existing system needs to be developed further to face the tight competition with other universities, especially in study programs related to information technology. So far, the existing system has not been able to provide a concise overview of student data. The information available is only limited to the number of students this year more or less than the previous year. For this reason, a monitoring system is needed that can provide more accurate and systematic information. This monitoring is visualized in the form of a dashboard that will provide information about trends in the number of students, school origin, gender, and address / region of origin. The dashboard design method uses the software development life cycle (SDLC) waterfall model. The dashboard is developed using PowerBI Desktop.

DETERMINANT OF THE INTENTION TO USE CHATGPT AMONG STUDENTS OF FACULTY OF SCIENCE AND TECHNOLOGY

This study explored the effect of perceived usefulness, perceived ease of use, and, lifestyle compatibility, to use ChatGPT among Students of Science and Technology Faculty of UINSU Medan using the unified theory of acceptance and use of technology (UTAUT). This quantitative study adopted a cross-sectional research design to gather data from 130 respondents using a Google Form. The collected data were analyzed using partial least square structural equation modelling (PLS-SEM). As a result, perceived usefulness, perceived ease of use, and lifestyle compatibility, displayed a significant positive effect on intentions to use ChatGPT. The study outcomes serve to inform managers of faculty and university to devise effective strategies that capture students’ intention to use and experience of using ChatGPT in the learning process..