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This paper aims to analyze how a tangram activity improved students’ abilities to explain sustainability, articulate a positive perception of sustainable design and relate sustainability with innovation in engineering design.

The concept of paradigm shift was introduced in the classroom by using a tangram activity to help students understand that sustainable design requires out-of-the-box thinking. Instructors from three institutions teaching various levels of sustainability courses to engineering majors used the activity to introduce sustainable design, then measured the understanding and appreciation of the concepts introduced through the tangram activity with pre- and post-activity surveys.

Findings from the study indicate that students’ perceptions of sustainability significantly improved due to the activity, without regard to the institution. The activity also significantly improved students understanding of the connection between sustainability and innovation, across all three institutions, across all majors and across all years of study except second-year students. Improving engineering students’ views on sustainability may lead, over time, to changes in the industry, in which environmental performance is incorporated into the engineering design process.

Active learning approaches are needed for affective-domain learning objectives in the sustainability field for students to learn the necessary attitudes, values and motivations to implement sustainability in engineering design. Simple, easily implemented active learning techniques, such as the tangram activity presented here, can be implemented across the curriculum or to the public to introduce the paradigm shift necessary with sustainable design.

The purpose of this paper is to propose a system dynamic simulated process model for maintenance work management incorporating the Fourth Industrial Revolution (4IR) technologies.

The extant literature in physical assets maintenance depicts that poor maintenance management is predominantly because of a lack of a clearly defined maintenance work management process model, resulting in poor management of maintenance work. This paper solves this complex phenomenon using a combination of conceptual process modeling and system dynamics simulation incorporating 4IR technologies. A process for maintenance work management and its control actions on scheduled maintenance tasks versus unscheduled maintenance tasks is modeled, replicating real-world scenarios with a digital lens (4IR technologies) for predictive maintenance strategy.

A process for maintenance work management is thus modeled and simulated as a dynamic system. Post-model validation, this study reveals that the real-world maintenance work management process can be replicated using system dynamics modeling. The impact analysis of 4IR technologies on maintenance work management systems reveals that the implementation of 4IR technologies intensifies asset performance with an overall gain of 27.46%, yielding the best maintenance index. This study further reveals that the benefits of 4IR technologies positively impact equipment defect predictability before failure, thereby yielding a predictive maintenance strategy.

The study focused on maintenance work management system without the consideration of other subsystems such as cost of maintenance, production dynamics, and supply chain management.

The maintenance real-world quantitative data is retrieved from two maintenance departments from company A, for a period of 24 months, representing years 2017 and 2018. The maintenance quantitative data retrieved represent six various types of equipment used at underground Mines. The maintenance management qualitative data (Organizational documents) in maintenance management are retrieved from company A and company B. Company A is a global mining industry, and company B is a global manufacturing industry. The reliability of the data used in the model validation have practical implications on how maintenance work management system behaves with the benefit of 4IR technologies' implementation.

This research study yields an overall benefit in asset management, thereby intensifying asset performance. The expected learnings are intended to benefit future research in the physical asset management field of study and most important to the industry practitioners in physical asset management.

This paper provides for a model in which maintenance work and its dynamics is systematically managed. Uncontrollable corrective maintenance work increases the complexity of the overall maintenance work management. The use of a system dynamic model and simulation incorporating 4IR technologies adds value on the maintenance work management effectiveness.

The purpose of this article is to promote an innovative approach to education development projects by the application of business modelling tools and methods.

The proposed method is based on tools and methods from the business modelling area, such as stakeholder mapping, SWOT analysis, business modelling canvas and scenario analysis. The applicability of the approach is illustrated by a case study conducted on an engineering programme, where qualitative and quantitative data were gathered through interviews, surveys and workshops.

Utilising business modelling tools for development projects in higher education gives several benefits: (1) knowledge-informed decision making; the methods require good understanding of the current situation as well as possible strategies to be applied, that is data gathering is necessary before decision making; (2) structured decision making by applying a step-by-step approach for the development project; (3) including different stakeholder's perspectives in order to gain a holistic understanding and avoid sub optimisation.

The approach promotes innovation and action driven development rather than a bureaucratic and metric based improvement process. Tools and models from the business area have previously been applied for educational development. However, a holistic business modelling approach for educational development has not yet been applied.

At present, humankind is facing rapid and profound changes in society, science, technology, economy and environment. The 21st century has witnessed extraordinary scientific and technological progressions. Improvement of technology has generated new educational technique known as e-learning. Nowadays, popularity of e-learning is growing rapidly and numerous educational organizations, public, academic and digital libraries are embracing it. Lately, engineering education is heading toward the blended education system as it successfully combines both chalk and talk system (face-to-face), computer-assisted learning methodologies and internet access feature to learners.

This work discusses the potential of e-learning as an educational system for engineering topics and the challenges faced by educational organizations and public libraries as their partners in applying this system for engineering topics. In addition, number of national and international successful engineering e-learning trials that have been created, organized and/or hosted by educational organizations and public libraries are presented.

The author presents challenges and obstacles that stakeholders, teachers, professors and librarians should be aware of to develop and support the e-learning system. Hence, a number of recommendations are provided to build a bridge linking e-learning and engineering education.

This paper is a complementary work to a previously published study. In this paper, the author sheds light on the link between the e-learning system and the engineering education provided by the educational organizations and hosted by public libraries.

The retention and success of engineering undergraduates are increasing concern for higher-education institutions. The study of success determinants are initial steps in any remedial initiative targeted to enhance student success and prevent any immature withdrawals. This study provides a comprehensive approach toward the prediction of student academic performance through the lens of the knowledge, attitudes and behavioral skills (KAB) model. The purpose of this paper is to aim to improve the modeling accuracy of students’ performance by introducing two methodologies based on variable selection and dimensionality reduction.

The performance of the proposed methodologies was evaluated using a real data set of ten critical-to-success factors on both attitude and skill-related behaviors of 320 first-year students. The study used two models. In the first model, exploratory factor analysis is used. The second model uses regression model selection. Ridge regression is used as a second step in each model. The efficiency of each model is discussed in the Results section of this paper.

The two methods were powerful in providing small mean-squared errors and hence, in improving the prediction of student performance. The results show that the quality of both methods is sensitive to the size of the reduced model and to the magnitude of the penalization parameter.

First, the survey could have been conducted in two parts; students needed more time than expected to complete it. Second, if the study is to be carried out for second-year students, grades of general engineering courses can be included in the model for better estimation of students’ grade point averages. Third, the study only applies to first-year and second-year students because factors covered are those that are essential for students’ survival through the first few years of study.

The study proposes that vulnerable students could be identified as early as possible in the academic year. These students could be encouraged to engage more in their learning process. Carrying out such measurement at the beginning of the college year can provide professional and college administration with valuable insight on students perception of their own skills and attitudes toward engineering.

This study employs the KAB model as a comprehensive approach to the study of success predictors. The implementation of two new methodologies to improve the prediction accuracy of student success.

The purpose of the current study is to assess Omani teachers’ performance on tasks related to the stages of engineering design. To achieve this, data from an engineering design test was used, and demographic variables that are correlated with this performance were identified.

This descriptive study employed a cross-sectional design and the collection of quantitative data. A sample of preservice science teachers from Sultan Qaboos University (SQU) (n = 70) participated in this study.

Findings showed low and moderate levels of proficiency related to the stages of engineering design. Differences between males and females in terms of performance on engineering design tasks were found, with females scoring higher overall on the assessment. Biology preservice teachers scored higher than teachers from the other two majors (physics and chemistry) in two subscales. There were also differences between teachers studying in the Bachelor of Science (BSc) program and the teacher qualification diploma (TQD) program.

This study provides an overview, in an Arab setting, of preservice science teachers’ proficiency with engineering design process (EDP) tasks. It is hoped that the results may lead to improved instruction in science teacher training programs in similar contexts. Additionally, this research demonstrates how EDP competency relates to preservice teacher gender, major and preparation program. Findings from this study will contribute to the growing body of research investigating the strengths and shortcomings of teacher education programs in relation to science, technology, engineering and mathematics (STEM) education.

Industry and academia around the world stress the importance of professional skills (also known as soft skills, generic skills, or transferable skills) so it is necessary to be able to assess students’ attainment of these skills. An innovative method was developed in the USA for assessment of these skills in an engineering program (Ater Kranov, Hauser, Olsen, & Girardeau, 2008); this method was based around student discussion of an open-ended, unresolved, discipline-related problem, held face-to-face and subsequently analyzed using a rubric. In the research project described here, the method was adapted for the United Arab Emirates by writing appropriate scenarios for computing students, by modifying the rubric and by running the discussion on an online discussion board. The primary aims were to determine the feasibility of adapting the method and to examine its suitability. The results of the study showed that the method can be adapted and employed very successfully with UAE students. This paper presents the method, its adaptation and implementation, and the results obtained.

This article presents our experience in implementing the assessment for learning process (AfL) to enhance the teaching–learning quality, which has faced numerous challenges impacting educational quality. The effectiveness of this technique is demonstrated through a case study conducted in a core course of chemical engineering.

The article shares insights into the systematic course design and planning processes that were discussed and developed through AfL practices. Significant emphasis is placed on implementing formative and summative student self-assessment surveys as simple yet effective methods to meet this purpose. Quantitative data were collected and analyzed over three consecutive academic years (2020–2022) using various statistical parameters such as percentage, interquartile range and the program’s numerical goal (%G).

The AfL process via formative and summative surveys could significantly and effectively improve teaching–learning quality. These findings assist educators in identifying appropriate teaching methods and recognizing areas of weakness and strength, thereby facilitating continuous improvement in the teaching–learning quality. Validation methods, including quizzes and numerical grades, were employed to practically verify the outcome obtained from the questionnaires.

The AfL techniques demonstrated in this study can be directly implemented or adapted for various educational fields to enhance the teaching–learning quality.

The practical implementation of AfL in an engineering context has hardly been reported, particularly in chemical engineering. This work represents the practical implementation of AfL to enhance engineering field education.

The national society of professional engineers has said, “engineering has a direct and vital impact on the quality of life for all people.” The demand for career-ready engineering professionals has been a consistent, high priority area for the U.S. workforce for the last several decades. Specifically, this call expresses a desire for engineers that are deeply prepared in their technical areas, but also broadly capable as participatory leaders and team members. Thus, leadership-coupled professional competencies that enhance teamwork and problem solving are in high demand from the engineering industry. However, contemporary research suggests that postsecondary engineering programs do not adequately prepare graduates in these areas. This Delphi study identified the consensus perspective of an industry panel regarding the most valuable competencies within the organizational culture of engineering firms. After three iterative rounds, 14 leadership-coupled competencies were identified.