فصلنامه آموزش مهندسی ایران
پیاپی 93 (بهار 1401)

The aim of this study was to identify and prioritize non-technical skills required by engineering disciplines of Urmia University. The statistical population of this study included industrial employers and engineering graduates of Urmia University, which was selected by stratified sampling method based on Morgan table. The research method used is descriptive-survey. The measurement tool and data collection tool in this study was a questionnaire whose validity and reliability were examined and confirmed in the present study. SPSS 23 software was used for data analysis. The results of data analysis show that the average of all non-technical skills of Urmia University graduates in terms of employers is higher than the theoretical average, which is at a desirable level.In the ranking of skills, by surveying graduates, in critical skills from the highest and in emotional intelligence skills from the lowest average, and from the point of view of employers, graduates had the highest in responsibility skills and lowest average in creativity skills. It is recommended that the approved curriculum that the university considers for engineering disciplines to improve non-technical skills should be such that the curriculum is designed in according with the current and future needs of engineering organizations. Holding class projects, education and training essential skills that can develop students’ emotional intelligence and creativity skills should be considered.

One of the methods to create the idea in the architectural design is the principles and patterns in the natural phenomena. The current study consists of two sections. The first section introduces and recognizes the analogy of nature and its different types. Then, this section studies, classifies, and analyzes the opinions using the analytical-descriptive methods. In the second section, performances of two groups of undergraduate and graduate students of architecture, in architecture and Urbanism Faculty of the Jundi-Shapour University of Technology, Dezfoul, on how to deal with nature and analogy method was evaluated as freehand sketching using experimental study. The sketches were classified based on the modeling and analogy method into three classes of formal, structural, and conceptual analogies, which have conceptual, structural, and formal specifications based on the patterns of nature. The results show that undergraduate students selected the patterns based on their form, function, symbolism, aesthetics, feelings, design process, nature, climate, and structure. Also, graduate students selected the patterns based on the function, form, symbolism, feelings, climate, and structure. The form of nature was applied more among the undergraduate students, while the function of nature was utilized more among the graduate students.

Considering the role of universities in engineering education, it is necessary to study the status of the educational system and its strengths and weaknesses in order to improve the process of engineering education. In this research, the factors affecting the increase of academic years of engineering students and the status of students who do not complete their studies in the authorized years have been investigated. At first, the effective indicators on increasing the academic years of engineering students were identified and prioritized using the AHP technique. The ranking results show the average of basic courses, the average of main courses, the average of general courses, the number of conditional semesters, the average of optional courses and the number of units dropped have the most impact on increasing the academic years of engineering students. Then, a model was provided to predict the increase in academic years according to the educational status of engineering students using an artificial neural network. According to the results of the neural network, the factors of the number of units dropped, the average of the main courses, the average of the basic courses, the number of conditional terms, the duration of marriage and the average of the high school math and physics courses have the greatest impact on increasing academic years. Finally, by comparing the results of AHP method and neural network, the average factors of basic and main courses, the number of conditional terms and the number of units dropped in both methods were identified as the most effective factors that should be paid more attention while studying engineering students.

Today, the progress and development of countries in the group of industrial and manufacturing sectors, the leadership of these sectors owes to human resources is capablities. In production units, quality control managers are responsible. The main purpose of this study is to identify the skill expectations of quality control managers according to their role and duties in the excellence of industrial sectors and to analyze the curriculum of industrial engineering in the undergraduate level in order to meet these needs with a pathological approach. The research method is applied in terms of purpose and exploratory in terms of qualitative and quantitative in terms of data collection method. In order to identify the skill expectations of quality control managers, based on the job descriptions of quality control managers and the study of documents and libraries, skill needs are explained with the help of expert opinion polls and to combine skill needs with specialized courses in industrial engineering and determine their importance and coverage. The technique of quality function deployment (QFD) has been used. The results of the analysis show that the lessons; quality and productivity management, statistical quality control, management information systems, production methods and production planning maximum impact and design courses in industrial creation, engineering economics, transportation planning and operations research less role in strengthen the skills of quality control managers. There are also educational gaps in the areas of familiarity with government laws and regulations in the production sector, standardization issues, continuous monitoring of product quality in the industrial engineering training program in universities, which needs the attention of policy makers in this field.

The aim of this study was to investigate the relationship between educational interactions and academic satisfaction with students’ research self-efficacy. The research population is graduate students of all faculties of basic and engineering sciences of University of Tabriz. Using stratified sampling method in a manner commensurate with the size of the population, 335 people were selected as the sample. Research data collection tools include standard questionnaires of educational interactions (2015), satisfaction with education (2012) and research self-efficacy (2011). The reliability of the research questionnaires based on Cronbach’s alpha coefficient was 0.89, 0.86 and 0.93, respectively. The research method is applied in terms of purpose and based on how the data are collected is a descriptive correlation. Findings show that there is a significant positive relationship between student-student interaction, student-teacher interaction and student-content interaction, as well as educational facilities, curriculum, teaching and learning, university atmosphere, office facilities and policies and procedures with students’ research self-efficacy. Findings indicate that the components of educational interactions as well as the components of policies and procedures, curriculum, questions, educational facilities, teaching and learning from the variable of academic satisfaction can explain students’ research self-efficacy. it can be concluded that interpersonal interactions between students and professors with them, educational policies adopted in the student environment as an important factor in student research self-efficacy. Therefore, it is suggested that officials and professors dedicate part of the educational activities of universities to increasing positive educational interactions and preparing and setting desirable policies so that an important step can be taken in this direction to improve students’ research self-efficacy.

The aim of the study was to identify the workplace bullying in academia among faculties of humanities and engineering departments. A descriptive-analytical research design was employed in this study and correlation studies along with multiple regression analysis methods were used. The population under the study included faculty members of humanities and engineering departments in public universities of Tehran form which 532 members were selected through random sampling. It could be understood that assistant instructor women with tenure position in the university have experienced social bullying more than other types. Meanwhile, there was no significant difference between bullying and marital status of faculties in both groups. The results indicated that there is a significant relation between bullying and organizational and individual factors which highly predict the changes in bullying. Regarding the bullying in humanities and according to the results of regression test, organizational factors in comparison with individual factors predicts the bullying more significantly. Moreover, among the five components of organizational factors, two factors of rules and regulations and academic leadership, while having a significant and indirect relationship with bullying, more strongly describe bullying in workplace. Regarding the engineering department, individual factors predict the workplace bullying more highly than organizational factors. So that, among the organizational factors in this group, two components of organizational culture and academic leadership, while having a significant and indirect relationship with bullying, have more power in describing bullying.

The purpose of this study was to investigate the effect of simultaneous and asynchronous online assessment methods on the teaching-learning process. The present study was applied in terms of purpose, research method of consecutive exploratory type and survey collection method. The statistical population in the qualitative section included professors of Lorestan University and using targeted sampling, 20 interviews with 20 experts were conducted until information saturation. The statistical population in the quantitative section included students (9304 people) and professors (322 people) of Lorestan University, of which 369 students and 175 professors were selected as a statistical sample. The data collection tool in the present study was a semi-structured interview and a researcher-made questionnaire. Thematic analysis and structural equation modeling were used to analyze the research data. Findings showed that simultaneous and asynchronous online assessment methods have a positive and significant effect on teaching and learning processes of Lorestan University students. However, simultaneous online assessment method has a greater impact on the learning process and asynchronous online assessment method has a greater impact on the teaching process. Due to the positive effect of both evaluation methods on the teaching-learning process, faculty members of Lorestan University can use both methods to evaluate students