A ‘Knowledge Trading Game’ for collaborative design learning in an architectural design studio

Knowledge-sharing and resource exchange are the key to the success of collaborative design learning. In an architectural design studio, design knowledge entails learning efforts that need to accumulate and recombine dispersed and complementary pieces of knowledge. In this research, firstly, ‘Knowledge Trading Game’ is proposed to be a way for promoting students’ design knowledge exchange, dissemination and refinement. Twelve students are randomly chosen as experimental participants. And secondly, ‘virtual value’ is used for students to trade their design knowledge. In this game, students buy others’ design knowledge to extend their design problem space; students decrease their design solution space through their sold design knowledge. Finally, ‘protocol analysis’ is adapted as the research methodology to examine the results of implementation. A positive outcome is identified that Knowledge Trading Game encourages collaborative design learning.     

Design expert’s participation in elementary students’ collaborative design process

The main goal of the present study was to provide insights into how disciplinary expertise might be infused into Design and Technology classrooms and how authentic processes based on professional design practices might be constructed. We describe elementary students’ collaborative lamp designing process, where the leadership was provided by a professional designer. The video-recorded lessons on lamp designing and the “Lamp Designing” view of the project’s database constituted the data sources of the study. A data-driven qualitative content analysis was conducted for categorizing the scaffolding activities of the designer. The results indicate that the designer’s participation opened up the world of designing for the students. This enabled the students to engage in embodied design practices, and to gain new insights of the professional mechanisms of designing. Having the professional designer working with them, provided students with the opportunity to gain the full potential that solving complex design problems can offer to learning.     

Students’ interest and expectancy for success while engaged in analysis- and creative design activities

Inasmuch as design is a central activity in K-12 engineering education, understanding the students’ motivation during engaging in engineering design activities will help educators to develop and evaluate strategies for engineering design challenges, and improve curriculum. The objective of this study is to better understand the relationship between students’ interest and expectancy for success while engaged in two design activities in grades 9–12. The primary difference between the two activities was the strategy used to solve the design problems from a predictive analysis and a creative approach. Constructs of motivation for students’ interest include task value (TV) and intrinsic goal orientation (IGO) and extrinsic goal orientation (EGO). Expectancy for success includes control of learning beliefs and self-efficacy for learning and performance. In this study, students (n = 31) from three high schools that implement the Project Lead the Way curriculum in three states in the US participated in the study. Immediately after completing their design projects, each student was asked to complete a modified version of the Motivated Strategies for Learning Questionnaire survey instrument which evaluates their interest and expectancy for success. The results show that students were more intrinsically motivated to engage in a design activity that involves a predictive analysis than a creative approach. No significant correlation was found between students’ expectancy for success and EGO in design tasks that utilized either predictive analysis or creative approach. The study also found that TV and IGO were good predictors for students’ expectancy for success. Demographic information associated with students’ motivation in the design activities is also presented.     

Doomed from the start: what is the value of selecting a future dominant design?

This study investigates how important it is for a firm to select what turns out to be a dominant design in a technology‐driven industry. Using the personal computer industry as a case study, this research shows that firms are not doomed when their entry design choices turn out to be ‘wrong.’ For early entrants, we found that switching to the dominant design is associated with increased chances of survival and market share. Contrary to our expectations, we found that even later entrants that switched to the dominant design also enjoyed higher survival rates and greater market position. Copyright © 1999 John Wiley & Sons, Ltd.     

Hong Kong Fashion Week for S/S——Hong Kong Fashion Week showcases design excellence

Organised by Hong Kong Trade Development Council(HKTDC),HKTDC Hong Kong Fashion Week for Spring/ Summer 2009 is not only an important sourcing platform for the global fashion industry,it is also a showcase for design excellence.     

Perfect timing? Dominant category,dominant design,and the window of opportunity for firm entry

The optimal time to enter emerging industries is a key concern in strategy, yet scholars struggle to create a theoretical foundation that can integrate conflicting empirical findings. We incorporate categorical dynamics to industry life cycle theory to enhance existing entry timing theories. We introduce the concept of a dominant category—the conceptual schema that most stakeholders adhere to when referring to products that address similar needs and compete for the same market space—linking it to the dominant technological design and entry‐timing advantages. In particular, we propose the existence of a window of opportunity for firm entry that starts with the emergence of the dominant category and ends with the emergence of the dominant design. © 2013 The Authors. Strategic Management Journal published by John Wiley & Sons Ltd.     

Personality and other attributes,qualities, abilities and opinions of some ‘A’ level design students

Many claims have been made of a subjective nature that some students studying A level Design develop certain personal qualities and attributes not found in some students who study other academic A levels. The research describes attempts to quantify these claims and as a result provides a firmer basis for the understanding of the effects on students of studying design.     

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.