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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Objective: This exploratory study investigated to what extent gait characteristics and clinical physical therapy assessments predict falls in chronic stroke survivors. Design: Prospective study. Subjects: Chronic fall-prone and non-fall-prone stroke survivors. Methods: Steady-state gait characteristics were collected from 40 participants while walking on a treadmill with motion capture of spatio-temporal, variability, and stability measures. An accelerometer was used to collect daily-life gait characteristics during 7 days. Six physical and psychological assessments were administered. Fall events were determined using a “fall calendar” and monthly phone calls over a 6-month period. After data reduction through principal component analysis, the predictive capacity of each method was determined by logistic regression. Results: Thirty-eight percent of the participants were classified as fallers. Laboratory-based and daily-life gait characteristics predicted falls acceptably well, with an area under the curve of, 0.73 and 0.72, respectively, while fall predictions from clinical assessments were limited (0.64). Conclusion: Independent of the type of gait assessment, qualitative gait characteristics are better fall predictors than clinical assessments. Clinicians should therefore consider gait analyses as an alternative for identifying fall-prone stroke survivors.
The central goal of this study is to clarify to what degree former education and students' personal characteristics (the 'Big Five personality characteristics', personal orientations on learning and students' study approach) may predict study outcome (required credits and study continuance). Analysis of the data gathered through questionnaires of 1,471 Universities of Applied Sciences students make clear that former Education did not come forth as a powerful predictor for Credits or Study Continuance. Significant predictors are Conscientiousness and Ambivalence and Lack of Regulation. The higher the scores on Conscientiousness the more credits students are bound to obtain and the more likely they will continue their education. On the other hand students with high scores on Ambivalence and Lack of Regulation will most likely obtain fewer Credits or drop out more easily. The question arises what these results mean for the present knowledge economy which demands an increase of inhabitants with an advanced level of education. Finally, implications and recommendations for future research are suggested.
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