How to incorporate the needs and expectations of the employers into quantitative courses

[Abstract]: Model building applications using mathematical programming techniques are discussed widely in the majority of the textbooks on Operations Management and related fields. For instance, Linear Programming and its derivatives are applied to a variety of situations which range from machine shop scheduling to health and education management. To what extent the industries rely on these techniques to manage and allocate their resources to achieve optimal results needs to be investigated. Teaching approaches also have a significant effect on students' learning and meeting the employers' needs. Feedback from the students and employers will certainly help with teaching materials and formal assessment improvements. This paper reports the findings of investigations on the students' learning preferences and the employers' requirements with regard to Operations Management tools and techniques. The paper also presents procedures and findings of an experiment on teaching basic mathematics concepts to Business undergraduate students by employing very practical aids

Anankastic conditionals are still a mystery

‘If you want to go to Harlem, you have to take the A train’ doesn’t look special. Yet a compositional account of its meaning, and the meaning of anankastic conditionals more generally, has proven an enigma. Semanticists have responded by assigning anankastics a unique status, distinguishing them from ordinary indicative conditionals. Condoravdi & Lauer (2016) maintain instead that “anankastic conditionals are just conditionals.” I argue that Condoravdi and Lauer don’t give a general solution to a well-known problem: the problem of conflicting goals. They rely on a special, “effective preference” interpretation for want on which an agent cannot want two things that conflict with her beliefs. A general solution, though, requires that the goals cannot conflict with the facts. Condoravdi and Lauer’s view fails. Yet they show, I believe, that previous accounts fail too. Anankastic conditionals are still a mystery

Does tailoring instructional style to a medical student\u27s self-perceived learning style improve performance when teaching intravenous catheter placement? A randomized controlled study.

BACKGROUND: Students may have different learning styles. It is unclear, however, whether tailoring instructional methods for a student\u27s preferred learning style improves educational outcomes when teaching procedures. The authors sought to examine whether teaching to a student\u27s self-perceived learning style improved the acquisition of intravenous (IV) catheter placement skills. The authors hypothesized that matching a medical student\u27s preferred learning style with the instructor\u27s teaching style would increase the success of placing an IV catheter. METHODS: Using the VARK model (i.e., visual [V], auditory [A], read/write [R] and kinesthetic [K]), third-year medical students reported their self-perceived learning style and were subsequently randomized to instructors who were trained to teach according to a specific learning format (i.e., visual, auditory). Success was gauged by: 1) the placement of an IV on the first attempt and 2) the number of attempts made until an IV line was successfully placed. RESULTS: The average number of attempts in the matched learning style group was 1.53, compared to 1.64 in the unmatched learning style group; however, results were not statistically significant. Both matched and unmatched groups achieved a similar success rate (57 and 58 %, respectively). Additionally, a comparison of success between the unmatched and matched students within each learning style modality yielded no statistical significance. CONCLUSIONS: Results suggest that providing procedural instruction that is congruent with a student\u27s self-perceived learning style does not appear to improve outcomes when instructing students on IV catheter placement

Experiential Role of Artefacts in Cooperative Design

The role of material artefacts in supporting distributed and co-located work practices has been well acknowledged within the HCI and CSCW research. In this paper, we show that in addition to their ecological, coordinative and organizational support, artefacts also play an ‘experiential’ role. In this case, artefacts not only improve efficiency or have a purely functional role (e.g. allowing people to complete tasks quickly), but the presence and manifestations of these artefacts bring quality and richness to people’s performance and help in making better sense of their everyday lives. In a domain like industrial design, such artefacts play an important role for supporting creativity and innovation. Based on our prolonged ethnographic fieldwork on understanding cooperative design practices of industrial design students and researchers, we describe several experiential practices that are supported by mundane artefacts like sketches, drawings, physical models and explorative prototypes – used and developed in designers’ everyday work. Our main intention to carry out this kind of research is to develop technologies to support designers’ everyday practices. We believe that with the emergence of ubiquitous computing, there is a growing need to focus on personal, emotional and social side of people’s everyday experiences. By focusing on the experiential practices of designers, we can provide a holistic view in the design of new interactive technologies

Hybridization of multi-objective deterministic particle swarm with derivative-free local searches

The paper presents a multi-objective derivative-free and deterministic global/local hybrid algorithm for the efficient and effective solution of simulation-based design optimization (SBDO) problems. The objective is to show how the hybridization of two multi-objective derivative-free global and local algorithms achieves better performance than the separate use of the two algorithms in solving specific SBDO problems for hull-form design. The proposed method belongs to the class of memetic algorithms, where the global exploration capability of multi-objective deterministic particle swarm optimization is enriched by exploiting the local search accuracy of a derivative-free multi-objective line-search method. To the authors best knowledge, studies are still limited on memetic, multi-objective, deterministic, derivative-free, and evolutionary algorithms for an effective and efficient solution of SBDO for hull-form design. The proposed formulation manages global and local searches based on the hypervolume metric. The hybridization scheme uses two parameters to control the local search activation and the number of function calls used by the local algorithm. The most promising values of these parameters were identified using forty analytical tests representative of the SBDO problem of interest. The resulting hybrid algorithm was finally applied to two SBDO problems for hull-form design. For both analytical tests and SBDO problems, the hybrid method achieves better performance than its global and local counterparts