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Sinkvist, David
Publications (2 of 2) Show all publications
Sinkvist, D., Theodorsson, A., Ledin, T. & Theodorsson, E. (2017). SKURT: Quality Improvement System with Comprehensive Weekly Digital Student Group Feedback. Educational Research Applications, 2017(5), Article ID RCA-124.
Open this publication in new window or tab >>SKURT: Quality Improvement System with Comprehensive Weekly Digital Student Group Feedback
2017 (English)In: Educational Research Applications, E-ISSN 2575-7032, Vol. 2017, no 5, article id RCA-124Article in journal (Refereed) Published
Abstract [en]

Students’ role in evaluation and rating of teachers and education has been extensively researched for nearly a century. Applied worldwide, students’ ratings account for the majority of the available data.We created a new quality improvement system, SKURT, using digital online weekly combined quantitative, ten-graded scale, and qualitative, open-ended free text, group feedback from medical students. Students rated all educational, non-clerkship, items throughout the entire medical program, spanning eleven terms. The rating process is since 2008 an integral part of a medical program at a Swedish university. The results are, after a screening process, semi-publicly available on-demand, for students and faculty, creating a feedback loop enabling continuous improvement of quality.A thorough literature search of students rating of teaching found no other corresponding weekly group rating system spanning all educational items. Quality improvement systems based on similar principles as SKURT can uncover problem areas that are difficult to find using other rating systems and has the potential to circumvent several biases, risks and shortcomings of traditional rating systems in current use.

Place, publisher, year, edition, pages
Gavin Publishers, 2017
Medical Education; Online Evaluation; Problem-Based Learning; Quality Improvement; Rating of Teachers; Student Evaluation
National Category
Other Health Sciences
urn:nbn:se:liu:diva-145282 (URN)
Available from: 2018-02-20 Created: 2018-02-20 Last updated: 2018-03-08Bibliographically approved
Petersson, H., Sinkvist, D., Wang, C. & Smedby, Ö. (2009). Web-based interactive 3D visualization as a tool for improved anatomy learning. Anatomical sciences education, 2(2), 61-68
Open this publication in new window or tab >>Web-based interactive 3D visualization as a tool for improved anatomy learning
2009 (English)In: Anatomical sciences education, ISSN 1935-9772, Vol. 2, no 2, p. 61-68Article in journal (Refereed) Published
Abstract [en]

Despite a long tradition, conventional anatomy education based on dissection is declining. This study tested a new virtual reality (VR) technique for anatomy learning based on virtual contrast injection. The aim was to assess whether students value this new three-dimensional (3D) visualization method as a learning tool and what value they gain from its use in reaching their anatomical learning objectives. Several 3D vascular VR models were created using an interactive segmentation tool based on the "virtual contrast injection" method. This method allows users, with relative ease, to convert computer tomography or magnetic resonance images into vivid 3D VR movies using the OsiriX software equipped with the CMIV CTA plug-in. Once created using the segmentation tool, the image series were exported in Quick Time Virtual Reality (QTVR) format and integrated within a web framework of the Educational Virtual Anatomy (EVA) program. A total of nine QTVR movies were produced encompassing most of the major arteries of the body. These movies were supplemented with associated information, color keys, and notes. The results indicate that, in general, students' attitudes towards the EVA-program were positive when compared with anatomy textbooks, but results were not the same with dissections. Additionally, knowledge tests suggest a potentially beneficial effect on learning.

Place, publisher, year, edition, pages
John Wiley & Sons, 2009
visualization; anatomy studies; medical students; OsiriX; virtual dissection; study aid; segmentation; vascular anatomy
National Category
urn:nbn:se:liu:diva-17926 (URN)10.1002/ase.76 (DOI)000278599900002 ()19363804 (PubMedID)
Available from: 2009-04-25 Created: 2009-04-25 Last updated: 2017-01-03Bibliographically approved

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