Why do students present different design objectives in engineering design projects?

Engineering design practice has been recognized as an effective approach to engage students in STEM learning. However, we noticed that students who possessed strong STEM knowledge did not necessarily perform well on their design projects. Thus, this study sought to explore factors that shaped students’ design objectives and means. A design-based research was adopted using a single group teaching experiment, in which students’ performance in relation to conceptual knowledge, engineering design practice, and their STEM attitudes were assessed in different design complexity groups. Based on the findings of this study, we concluded that students’ interest and metacognitive skills might be the key factors affecting their motivation during the engineering design process. Their abilities in predictive analysis and testing/revising were core elements affecting their design thinking. Our work provides preliminary evidence on how students form and present different design purposes and objectives in an engineering design project.     

How an integrative STEM curriculum can benefit students in engineering design practices

STEM-oriented engineering design practice has become recognized increasingly by technology education professionals in Taiwan. This study sought to examine the effectiveness of the application of an integrative STEM approach within engineering design practices in high school technology education in Taiwan. A quasi-experimental study was conducted to investigate the respective learning performance of students studying a STEM engineering module compared to students studying the technology education module. The student performances for conceptual knowledge, higher-order thinking skills and engineering design project were assessed. The data were analyzed using quantitative (t test, ANOVA, ANCOVA, correlation analysis) approaches. The findings showed that the participants in the STEM engineering module outperformed significantly the participants studying the technology education module in the areas of conceptual knowledge, higher-order thinking skills, and the design project activity. A further analysis showed that the key differences in the application of design practice between the two groups were (a) their respective problem prediction and (b) their analysis capabilities. The results supported the positive effect of the use of an integrative STEM approach in high school technology education in Taiwan.     

Modeling the relation between students’ implicit beliefs about their abilities and their educational STEM choices

Despite the large body of research on students’ educational and career choices in the field of technology, design, and science, we still lack a clear understanding of how to stimulate more students to opt for a study path or career within the STEM fields (Science, Technology, Engineering, Mathematics). In this article, we outline a new theoretical framework to describe how students’ implicit belief about the malleability of their intelligence can be an important precursor of their STEM educational and career choice behavior. Based on the different bodies of literature about STEM choices and about students’ implicit beliefs about their abilities, we present three hypothetical pathways, in the form of testable models, that describe potential relations between the implicit theories that students may hold regarding the malleability of their STEM ability and students’ intentions to pursue a STEM career. Each pathway outlines a specific mediating factor influencing this relation: (a) self-efficacy beliefs, (b) stereotypical thinking, and (c) motivational beliefs. These pathways provide more insight into the underlying mechanisms that may affect STEM choice behavior. In our view, such a theoretical underpinning is a necessary prerequisite for further scientific investigation into the potential relations between students’ implicit beliefs about their potential development, relevant psychological variables, and STEM choice behavior. Furthermore, we believe it provides a theoretical foundation for practical interventions that aim to stimulate STEM choice behavior.     

An analysis of the impact of student–scientist interaction in a technology design activity,using the expectancy-value model of achievement related choice

Many education initiatives in science and technology education aim to create enthusiasm among young people to pursue a career in Science, Technology, Engineering, and Mathematics (STEM). Research suggests that personal interaction between secondary school students and scientists could be a success factor, but there is a need for more in-depth research on the actual effects of science education initiatives. This paper describes an in-depth, qualitative assessment of a technology design activity, using as a theoretical framework the expectancy-value model of academic choice Eccles and Wigfield (Annu Rev Psychol 53:109–132, 2002). A core element in the studied education initiative is the interaction between secondary school students and scientists. Semi-structured interviews were conducted with participating students and analysed qualitatively to disentangle the factors in their motivation to participate in this initiative and their experiences and memories gathered during participation. Last, this paper reflects on the use of the expectancy-value model for in-depth assessments of science education initiatives. Results show that interest-enjoyment values and attainment values are most important in the students’ motivation to participate in the studied activity. These values are connected to educational principles of authentic practice, and of providing meaningful contexts for scientific concepts. Furthermore, results show that the interaction between students and scientists is not automatically a success factor. Disappointment in this interaction, can cast a shadow on students’ whole experience. This leads us to propose to include an additional factor in the expectancy-value model of achievement related choice: educational environment, including ‘personal interaction’ as an element. Adding this factor would—in our opinion—create an even better framework for in-depth assessment of science education initiatives.     

Student Access to Apprenticeships: Evidence from a Vignette Experiment

We identify the causal effects of student characteristics on the likelihood of being hired for an apprenticeship and explore the mechanisms underlying the employer’s decision. To this end, we perform a vignette experiment among human resources professionals in Belgium, focusing on less-qualified youth. Our results indicate that students with favorable educational records and students revealing being motivated are more likely to obtain an apprenticeship. Furthermore, we find that these characteristics are used by human resources professionals as signals of trainability, employability, and quit intentions.     

A model to analyse students’ cooperative idea generation in conceptual design

In this article we focus on the co-creation of ideas. Through the use of concepts from collaborative learning and communication theory we suggest a model that will enable the cooperative nature of creative design tasks to emerge. Four objectives of the model are stated and elaborated on in the paper: that the model should be anchored in previous research; that it should allow for collaborative aspects of creative design to be accounted for; that it should address the mechanisms by which new ideas are generated, embraced and cultivated during actual design; and that it should have a firm theoretical grounding. The model is also exemplified by two test sessions where two student pairs perform a time-constrained design task. We hope that the model can play a role both as an educational tool to be used by students and a teacher in design education, but primarily as a model to analyse students’ cooperative idea generation in conceptual design.     

Robotics and STEM learning: students’ achievements in assignments according to the P3 Task Taxonomy—practice,problem solving,and projects

This study presents the case of development and evaluation of a STEM-oriented 30-h robotics course for junior high school students (n = 32). Class activities were designed according to the P3 Task Taxonomy, which included: (1) practice—basic closed-ended tasks and exercises; (2) problem solving—small-scale open-ended assignments in which the learner can choose the solution method or arrive at different answers; and (3) project-based learning—open-ended challenging tasks. The research aimed at exploring students’ working patterns, achievements in learning the course, and the impact of this experience on students’ motivation to learn STEM subjects. Evaluation tools included a final exam on factual, procedural and conceptual knowledge in the STEM subject learned in the course, class observations, interviews with the students, and administrating an attitude questionnaire before and after the course. Since the experimental class was quite heterogenic in regard to students’ prior learning achievements and motivation to learn, some of the students completed just the basic exercises, others coped well with the problem-solving tasks, and only a few took it upon themselves to carry out a complex project. However, all students showed high motivation to learn robotics and STEM subjects. In summary, robotics provides a very rich and attractive learning environment for STEM education. Yet, the realization of this potential depends largely on careful design of the course methodology and especially the students’ assignments in the class. One should recognize that often only some students are capable of learning a new subject on their own through project work, and these students also need to gain additional knowledge and skills before dealing with complex projects.     

First Things First

Although successful new product development practices often require joint efforts of professionals from various departments, all too often these professionals are trained as specialists with little exposure to other functional viewpoints. Colin Clipson describes the results of an educational initiative designed to bring together selected technical, business and design students enrolled in classes at The University of Michigan. Members of various student teams quickly ascertained a need to overcome language and cultural barriers in order to develop product recommendations for sponsoring firms. The results of this educational experiment have implications for current educational programs as long as improved innovation management is seen as a desirable social goal.     

Sketching by design: teaching sketching to young learners

Recent science educational reforms in the United States have prompted increased efforts to teach engineering design as an approach to improve STEM (Science, Technology, Engineering, and Mathematics) learning in K-12 classrooms. Teaching design in early grades is a new endeavor for teachers in the United States. Much can be learned from design teaching and research on K-12 design education outside of the US. The purpose of this study was to explore how students learn and use design sketching to support their learning of science and design practices. Researchers provided a treatment of design sketching instruction based on best practices of prior research finding (Hope in Des Technol Educ Int J 10: 43–53, 2005; Gustafson et al. J Technol Educ 19(1):19–34, 2007). A delayed treatment model was used to provide a two-group counterbalanced quasi-experimental design to compare an experimental group and comparison (delayed treatment) group results from (6) grade 3 classrooms. Researchers employed Hope’s Des Technol Educ Int J 10: 43–53, (2005) frame to organize sketching data for analysis. Findings from this study indicated that design instruction treatment did improve student’s design and communication practices, moving from using sketching as a container of ideas to the use of sketching as a form of design communication and to refine design ideas. Both the treatment and comparison groups improved sketching skills after treatment was provided to both groups. Sketching is a design practice that can also help student learn science concepts through the generation of mental models of conceptual understanding.     

基于应用型人才培养模式下的《染料化学》课程教改探讨

《染料化学》是面向轻化工程(纺织化学与染整工程)专业学生的重要的专业平台课程,通过本课程的学习,使轻化工程专业的学生获得与纺织品染色印花直接相关的染料相关基础知识,为后续的染整工艺原理课程的学习以及今后从事纺织品生产加工等相关的科研和生产实践奠定必要的理论基础。本文从培养实践应用型轻化专业人才目标出发,针对该课程教学过程中存在的一些问题进行了探讨,提出了课程改革的一些思路和具体措施,通过课程教改的实施,将有助于更好符合现代化染整专业人才的培养。     

Making explicit in design education: generic elements in the design process

In general, designing is conceived as a complex, personal, creative and open-ended skill. Performing a well-developed skill is mainly an implicit activity. In teaching, however, it is essential to make explicit. Learning a complex skill like designing is a matter of doing and becoming aware how to do it. For teachers and students therefore, it will be helpful to make the design process explicit. In this paper, a conceptual framework is developed to be more explicit about the design process. Based on research of the design process, on differences between novices and expert designers, and on personal experience in design education practice, five generic elements in the design process are distinguished: (1) experimenting or exploring and deciding, (2) guiding theme or qualities, (3) domains, (4) frame of reference or library, (5) laboratory or (visual) language. These elements are generic in the sense that they are main aspects and always present in the complex, personal, creative and open-ended design process.     

Technology development: Determining what to forecast

This article discusses a proven conceptual technique for identifying, classifying, and relating the very large number of complex factors, known and unknown, that enter into venture analysis decisions. Frameworks for reducing complexities to manageable options are proposed. These frameworks highlight areas where additional knowledge— or even invention—is necessary. Planning managers may thus determine their present technological position (where they are in the scheme of the present state of the art), map out possible future developments, reduce the risk of future shock, and determine which alternative should be the subject of in-depth technological forecasts.     

Australian enrolment trends in technology and engineering: putting the T and E back into school STEM

There has been much political and educational focus on Science, Technology, Engineering and Mathematics (STEM) in Australian schools in recent years and while there has been significant research examining science and mathematics enrolments in senior high school, little is known about the corresponding trends in Technologies and engineering. Understanding these subjects is essential for educators and policy-makers alike if Australians are to embrace the challenges of an innovation economy. We have collected raw enrolment data from each of the Australian state and territory education departments from 1992 to 2014 and analysed this across five Technology and Engineering subject areas. We also consider some of the relationships between these subject areas and other areas of the STEM equation. The results of these analyses are discussed in terms of absolute enrolments, participation rates and sex balance. We have found that the total number of students in Year 12 increased year on year and that this growth is echoed, to a lesser extent, in the participation rates for design technology, food technology and engineering. Digital Technologies however, grew rapidly until 2000, after which time it has been in steady decline. We identify that while the trends mostly show growth, there is a concerning male bias to many of these subject areas. We suggest that the broadening of the upper high school curriculum, confusion surrounding vocational training enrolments, and gamesmanship of the university entrance system, may be contributing to the limited growth observed. Finally, we identify a number of important areas for further research in this key learning area.     

How employees engage with B2B brands on social media: Word choice and verbal tone

Marketing scholars and practitioners are keenly interested in brand engagement in social media because brand engagement has strong links to brand equity. However, much of the marketing literature focuses on customer brand engagement and often in a consumer market setting. This paper advances this literature in two ways by (1) focusing on employees, not customers, as important stakeholders who frequently engage with brands on social media, and by (2) observing brand engagement in a business-to-business context. We develop a conceptual framework based on a theory of word choice and verbal tone to understand the content of engagement observations (i.e., reviews) that breaks into five content dimensions—activity, optimism, certainty, realism, commonality—and four calculated dimensions—insistence, embellishment, variety, and complexity. Then, we examine over 6300 job reviews authored by employees of B2B firms to explore the differences in the way employees engage with both highly-ranked, and -rated brands versus low-ranked and -rated brands. We find that there are significant differences in nearly all the theoretical dimensions, yet the effect sizes are much larger between high versus low review ratings compared to high versus low B2B brand ranking. We close with some important managerial implications and future research directions.     

PERSPECTIVE: Ten Years Of Experience Teaching A Multi‐Disciplinary Product Development Course⋆⋆

Integrated Design for Marketability and Manufacturing (IDMM at Stanford) is an Integrated Product Development course (IPD at Michigan) that is distinguished by hands‐on manufacture of customer‐ready prototypes executed by cross‐disciplinary teams of students (MBAs and graduate Engineering and Design students) in a simulated economic competition against benchmark products and against each other. The course design is such that teams can succeed only by performing well in each of the marketing, manufacturing, engineering, and design dimensions. Student failure modes include adopting the wrong product strategy, failure to execute a sound strategy of producing a product that meets market needs, failure to drive costs down, poor product positioning and/or communication, poor forecasting and inventory management, and poor team dynamics. Instructors adopting this course model will face challenges that derive from its definitively cross‐functional nature. The course involves faculty from Business, Engineering, and Design in a world where teaching load, compensation and infrastructural support is most often tallied on a unit‐specific basis. The course requires faculty with broad interests in a world in which narrow academic depth is often more highly valued. Other challenges the course presents include maintaining a sense of fairness in the final product competition, so that students can move beyond the anger of a potential failure to learn from their experience. Also, in its current manifestations on the Stanford and Michigan campuses the course requires expensive general‐purpose machine tools and instruction for students to build fully functional (customer‐ready) product prototypes. We provide our current resolutions to these challenges, and the rewards for making the effort. In the end, the course's survivability can be traced to the benefits it provides to all stakeholders: students, faculty, and administrators. These benefits include a course that integrates disciplines in a way that students believe will increase their integrative skills and marketability, a course that faculty can embrace as a vehicle for their own development in teaching and research, and that administrators find sufficiently novel and engaging to attract the attention of outside constituencies and the press. © 2002 Elsevier Science Inc. All rights reserved.     

Dancing robots: integrating art,music, and robotics in Singapore’s early childhood centers

In recent years, Singapore has increased its national emphasis on technology and engineering in early childhood education. Their newest initiative, the Playmaker Programme, has focused on teaching robotics and coding in preschool settings. Robotics offers a playful and collaborative way for children to engage with foundational technology and engineering concepts during their formative early childhood years. This study looks at a sample of preschool children (N = 98) from five early childhood centers in Singapore who completed a 7-week STEAM (Science, Technology, Engineering, Arts, and Mathematics) KIBO robotics curriculum in their classrooms called, “Dances from Around the World.” KIBO is a newly developed robotics kit that teaches both engineering and programming. KIBO’s actions are programmed using tangible programming blocks—no screen-time required. Children’s knowledge of programming concepts were assessed upon completion of the curriculum using the Solve-Its assessment. Results indicate that children were highly successful at mastering foundational programming concepts. Additionally, teachers were successful at promoting a collaborative and creative environment, but less successful at finding ways to engage with the greater school community through robotics. This research study was part of a large country-wide initiative to increase the use of developmentally appropriate engineering tools in early childhood settings. Implications for the design of technology, curriculum, and other resources are addressed.     

Platforms,systems competition,and innovation: Reassessing the foundations of communications policy

Focusing on the effects of policy on investment and innovation this paper examines whether the conceptual foundations of sector regulation are aligned with the current technological and economic conditions of advanced communications. One conclusion is that the prevailing theories and practices are only adequate if the policy challenge can be reasonably approximated as a static or steady-state problem but they may have serious shortcomings if this is not possible. The article proceeds with a review and critical examination of two approaches that could augment or possibly replace the traditional approach under conditions of dynamic competition—the theory of platform markets and systems approaches. Both frameworks model aspects of competition in interconnected systems in more detail and offer novel insights to inform communications policy in an era of continuous change. Nonetheless, important theoretical and implementation gaps remain that will require additional efforts by researchers and practitioners.     

Are their designs iterative or fixated? Investigating design patterns from student digital footprints in computer-aided design software

This paper investigates iteration and fixation in design by mining digital footprints left by designers. High school students used computer-aided design software to create buildings in an urban area, with the goal of applying passive solar design techniques to ensure optimal solar gains of the buildings throughout a year. Students were required to complete three different designs. Fine-grained data including design actions, intermediate artifacts, and reflection notes were logged. Computational analytics programs were developed to mine the logs through three indicators: (a) frequency of the action of using energy analysis tools; (b) solar performance of the final designs; and (c) difference in solar performance between the prototype and final designs. Triangulating results from the indicators suggests three types of iteration—efficacious, inadequate and ineffective. Over half of the participants were detected as being efficacious iterative during the first design and becoming more and more fixated toward the end of the project, which resonates with previous findings on fixation effect among college students and professional designers. Overall the results demonstrate the power of applying computational analytics to investigate complex design processes. Findings from this work shed light on how to quantitatively assess and research student performance and processes during design projects.     

How to develop great conceptual frameworks for business-to-business marketing

Robust conceptual frameworks are essential to building academic knowledge. Theory development involves high-quality conceptualization that integrates and builds on existing knowledge, possibly using a multi-disciplinary approach. Further, especially in an applied research area such as business-to-business marketing, the emerging theory will have meaningful implications for managerial decision-makers. Insightful conceptual framework development advances theory substantially, not incrementally. Theoretical development can be either purely conceptual or based on empirical data. Nevertheless, there are comparatively few guidelines for the process of conceptual framework development. This editorial discusses pathways to developing conceptual frameworks to support academic research, with emphasis on business-to-business marketing research. As guidelines and conventions are available for data-driven approaches such as grounded theory, we focus on theorizing processes in which existing theory plays a pivotal role.