Creative Risk‐Taking: Developing Strategies for First Year University Students in the Creative Industries

This article reports on the findings of a study investigating creative risktaking behaviours of the commencing university students enrolled in three units across three disciplines: Interactive and Visual Design, Fashion Design, and Film, Screen and Animation. The study employs an action research methodology in order to help students develop confidence and competence in creative risk‐taking. Upon analysis from relevant literature three key provisions for the study are proposed, being: P1 An open and playful learning environment that encourages sharing and challenging multiple perspectives; P2 An adequate period of time for students to develop and revise creative concepts; and P3 Opportunities to assess their own performance in developing creative risk‐taking capacities. The study draws on the students’ written self‐reflections to identify the key challenges and opportunities in encouraging creative risk‐taking among first year students, which are challenges of collaboration; creative resilience and self‐efficacy; and balancing creativity with technical competency. The article suggests several ways that educators can encourage students to take creative risks within higher education in preparation for careers in the creative industries.     

CAD-VR geometry and meta data synchronization for design review applications

INTRODUCTION The first phases of the product life cycle are almost completely digitalized nowadays. Single parts or complete product models are modeled with 3D CAD solutions. Assembling single parts to digital mockups (DMUs) is important for checking the de- pendencies between the parts and detecting conflicts. Due to their complexity, such data is managed in specialized Product Data Management (PDM) sys- tems. They gained an increasing importance in many industries during the last d…     

The effects of instructional context and reasoning complexity on mathematics problem-solving

The focus of this study was on the effects of relevance in instructional context and reasoning complexity on mathematics problem-solving achievement, transfer, and attitude. Forty-six fifth graders participated in the five-day study. Students received either contextualized or decontextualized instruction involving either simple or complex reasoning. Two types of achievement questions were used, context-rich and context-poor, which required either single or multiple computational steps to solve. An interaction was found between complexity of treatment and complexity of questions. Students who studied simple problems in decontextualized contexts performed best on one-step questions, while students who studied complex problems in contextualized contexts performed best on multi-step questions (p = .003). A complexity effect was also found for student attitudes toward perceived lesson difficulty (p = .0001) as well as for perceived relevance of mathematics (p = .015). Students who studied simple problems perceived lesson difficulty and mathematics relevance more favorably than those who studied complex problems. These findings suggest that rich mathematical instructional contexts best support mathematics problem-solving, but simple, decontextualized instruction yields the most favorable attitudes.     

Supply Chain Performance Analysis of Dow Jones Industrial Average Indexed Firms and Top 50 Supply Chain Firms

Operations and Supply Chain Management (OSCM) courses may cover supply chain strategies, supply chain classification, and supply chain performance. Familiarity with various manufacturing and logistics firms would help students to better understand such topics. Information on the Dow Jones Industrial Average indexed firms and top 50 supply chain firms by Gartner is easily accessible and typically covers a variety of industries from chemical, food/beverage, high‐tech to retail, to name a few. Instructors of OSCM courses can take advantage of this kind of information to discuss industry characteristics and supply chain classification. We present how to collect financial data, calculate supply chain metrics (e.g., inventory turns, profit margin, and cash‐to‐cash cycle) by building a spreadsheet model and creating an earns‐turns matrix, which prescribes supply chain classification. We also show how to analyze supply chain performance and describe industry characteristics based on the earns‐turns matrix. We provide vital questions and takeaways for instructors to lead and wrap‐up discussions. Students claim that they appreciated learning about industry characteristics and different supply chain strategies through the earns‐turns matrix analysis.     

A Web-based machining process monitoring system for E-manufacturing implementation

INTRODUCTION Recently, the application of the information technology into manufacturing fields gets more and more importance on the whole manufacturing shop floors. Currently, many researches reflect the effec- tiveness of knowledge-based production system re- lated to the exchange and management of various manufacturing information using information tech- nology via the Internet in order to increase the com- petitive power of industries. This research suggests a Web-based machining proce…     

Assessing Individual‐Level Impact of Interruptions During Online Testing

With an increase in the number of online tests, the number of interruptions during testing due to unexpected technical issues seems to be on the rise. For example, interruptions occurred during several recent state tests. When interruptions occur, it is important to determine the extent of their impact on the examinees' scores. Researchers such as Hill and Sinharay et al. examined the impact of interruptions at an aggregate level. However, there is a lack of research on the assessment of impact of interruptions at an individual level. We attempt to fill that void. We suggest four methodological approaches, primarily based on statistical hypothesis testing, linear regression, and item response theory, which can provide evidence on the individual‐level impact of interruptions. We perform a realistic simulation study to compare the Type I error rate and power of the suggested approaches. We then apply the approaches to data from the 2013 Indiana Statewide Testing for Educational Progress‐Plus (ISTEP+) test that experienced interruptions.     

Characterization of anomalous movements of spherical living cells on a silicon dioxide glassy substrate

The random walk of spherical living cells on a silicon dioxide glassy substrate was studied experimentally and numerically. This random walk trajectory exhibited erratic dancing, which seemingly obeyed anomalous diffusion (i.e., Lévy-like walk) rather than normal diffusion. Moreover, the angular distribution (−π to π) of the cells'' trajectory followed a “U-shaped pattern” in comparison to the uniform distribution seen in the movements of negatively charged polystyrene microspheres. These effects could be attributable to the homeostasis-driven structural resilient character of cells and physical interactions derived from temporarily retained nonspecific binding due to weak forces between the cells and substrates. Our results provide new insights into the stochastic behavior of mesoscopic biological particles with respect to structural properties and physical interactions.     

Validation of the Korean version Gender Role Conflict Scale for Adolescents

The objective of this study was to examine the usefulness of the Korean version of the Gender Role Conflict Scale for Adolescents (GRCS-A; Blazina et al. 2005) in Korea. Korean high school students (N = 374) completed the K-GRCS-A. Results of confirmatory factor analysis supported the original 4-factor structures. Reliability was acceptable to satisfactory limits. Further evidence of construct validity was found in modest correlations with psychological well-being variables. Taken together, this study sustained the utility of the K-GRCS-A.