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Purpose It aimed to explore the degree of difficulty of caries-detection-associated-topics perceived by dental students and lecturers as pedagogical step in the development of learning objects for e-learning. Methods: A convenience sample comprising ninety-eight subjects from different academic levels (undergraduate/graduate students and pediatric dentistry lecturers) participated. Two spreadsheets (isolated/relative) were created considering key topics in the caries detection process. The isolated evaluation intended to explore each topic in an isolated way, while the relative intended to classify, comparatively, the participants’ perceived difficulty per topic. Afterwards, data were analyzed. All values on spreadsheets were combined obtaining the subject’s final perception. Associations between the subjects’ degree of the perceived difficulty and academic level were estimated. ANOVA was used to determine differences regarding the perception among evaluated topics in distinct groups. Results: Caries histopathology and detection of proximal carious lesions were the topics perceived as the most difficult in the process of caries detection by both students and lecturers. Differentiation between an extrinsic pigmentation and a brown-spot (caries lesion) as well as differential diagnosis between caries and enamel developmental defects or non-carious lesions were considered as more difficult by undergraduates in comparison to graduates/lecturers (regression-coefficient=14.54; Standard Error=3.34; P<0.001 and 8.40, 3.31, and 0.01 respectively). Conclusion: Topics as histopathology and detection of proximal caries lesions were identified as the most difficult despite the academic level. However, some topics are differently perceived according to the group. These results are useful for developing pedagogical material, based on the students real learning needs/expectations.
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Purpose Web-based questionnaires are currently the standard method for course evaluations. The high rate of smartphone adoption in Sweden makes possible a range of new uses, including course evaluation. This study examines the potential advantages and disadvantages of using a smartphone app as a complement to web-based course evaluation
systems.
Methods An iPhone app for course evaluations was developed and interfaced to an existing web-based tool. Evaluations submitted using the app were compared with those submitted using the web between August 2012 and June 2013, at the Faculty of Medicine at Uppsala University, Sweden.
Results At the time of the study, 49% of the students were judged to own iPhones. Over the course of the study, 3,340 evaluations were submitted, of which 22.8% were submitted using the app. The median of mean scores in the submitted evaluations was 4.50 for the app (with an interquartile range of 3.70-5.20) and 4.60 (3.70-5.20) for the web (P= 0.24). The proportion of evaluations that included a free-text comment was 50.5% for the app and 49.9% for the web (P= 0.80).
Conclusion An app introduced as a complement to a web-based course evaluation system met with rapid adoption. We found no difference in the frequency of free-text comments or in the evaluation scores. Apps appear to be promising tools for course evaluations. web-based course evaluation system met with rapid adoption. We found no difference in the frequency of free-text comments or in the evaluation scores. Apps appear to be promising tools for course evaluations.
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This study assessed the poverty-related attitudes of pre-clinical medical students (first and second years) versus clinical medical students (third and fourth years). First through fourth year medical students voluntarily completed the Attitude Towards Poverty scale. First and second year students were classified together in the preclinical group and third and fourth year students together in the clinical group. A total of 297 students participated (67% response rate). Statistically significant differences were noted between pre-clinical and clinical students for scores on the subscales personal deficiency (P<0.001), stigma (P=0.023), and for total scores (P=0.016). Scores across these subscales and for total scores were all higher in the clinical group. The only subscale which did not show statistical significance between pre-clinical and clinical students was the structural perspective. Medical students in their clinical training have a less favorable attitude towards the poor than their preclinical counterparts.
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