Communication plays an important role in manyprofessional contexts. This is especially truefor students in the field of social work. Theaim of this study was to develop formative,self-regulated multimedia self-assessment ofsocial-communicative competencies for socialwork students. First, a pilot study wasconducted to gain insight into the students'specific characteristics. This insight was usedto design guidelines for the development of theassessment instrument in order to tune these tothe students' perceptions, instructionalpreferences, and personalities and thusenhancing the students' enthusiasm to use theself-assessment instrument. This might increasethe chance for successful implementation ofthis new form of assessment. A first version of a multimedia test wasdeveloped. A quality expert meeting wasorganised to gain insight into expertjudgements on the quality of the test and toobtain indications for improvement of theassessment. A second version of the test wasconstructed and put on the Internet. Nearly 400students completed the assessment and expressedtheir opinions on this new way of communicationassessment. We found it was possible to testsocial-communicative competence by means ofmultimedia, with the help of digital video. Theuse of Internet makes assessments available atany time to fit curriculum needs and alsoresolves time and space constraints. Ourconclusion was that the multimedia test isreasonably valid. All students reported havingliked the multimedia assessment.
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This research aims to obtain more insight in the perception of fabric drape and how fabric drape can be cat-egorized With the current 3D virtual technologies to simulate garments the fashion and clothing industry can speed up work processes, improve accuracy and reduce material consumption in fit, design and sales. Although the interest in 3D technology is increasing, the implementation on a large scale emerges only slowly. At the threshold between physical and virtual fitting the fashion industry faces new challenges and demands re-quiring responses out of rule. The measurement of fabric drape started in the first half of the previous cen-tury, after the introduction of 3D garment simulation fabric drape gained interest from more researchers to obtain information for the virtual drape. Intensive research has been undertaken to define ‘fabric hand’, however, research is limited for the definition of fabric drape. Better understanding of how fabrics drape and how they can be selected based on their drape might contribute to the understanding of the virtually as-sessed material and accelerate the selection process of virtually, as well as digitally presented fabrics. For this research the drape coefficient of 13 fabrics, selected based on their drape, was measured with the Cusick drape tester. Images and videos of the fabrics draped on pedestals were presented to an expert tex-tile panel who were asked to define the fabric drape. From these definitions categories, as well as identifying key-words, were derived. During a group session the expert panel evaluated the drape categories and identi-fying key-words. In the next phase an expert user panel, familiar with the assessment of fabrics in a virtual environment, assessed the appropriateness of the categories and identifying key-words which were present-ed along with the fabric drape images and videos. Moreover, both panels judged the stiffness and amount of drape, next to that they indicated similar draping fabrics. The relation between the subjective assessment of drape and the drape coefficient was investigated. The agreement of the user panel with the drape categories defined and evaluated by the textile panel was high. Further, the agreement of the majority of the user panel with the identifying key-words was above 78%. A strong relation was found between the measured drape coefficient and the subjectively assessed stiffness and amount of drape. Additionally, the analysis of the fabrics combined by the panels based on drape simi-larity, as well as the analysis of the drape coefficients, confirms with previous research, that significantly dif-ferent fabrics can have a similar drape. Fabrics can be divided in drape categories based on the way they drape, and the identifying key-words are useful to distinguish between significantly different fabrics with similar fabric drape. Moreover, the cate-gories are related to the drape coefficient.
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