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- W185547181 abstract "Thesis reviewing is considered as a knowledge task that can be supported by com- puter-based techniques. The knowledge that underlies the reviewing is represented in a data- base where it can be shared between all concerned actors such as reviewers, thesis authors, and prospective thesis writers. 1. Starting Point Reviewing bachelor and master theses is no doubt a demanding knowledge task. It is not easy to establish criteria to judge the quality of a thesis and it is even harder to apply these criteria on a given thesis in an unbiased way. In general, a large amount of knowledge needs to be elaborated and made explicit in a thesis review. Although the knowledge contained in a thesis review is very valuable, it is not adequately used in many cases. The main problem is the retrospective nature of the reviewing process: Since the thesis is already written, the author cannot use the knowledge contained in the review in order to improve their gradation. Hence, the author of the thesis will realize the review as a justification of the grading rather than an additional training in scientific writing. It could be argued that the knowledge contained in the review might be of much interest for other students who have not yet finished their theses. However, due to data privacy precautions the reviews may not be disclosed to other students and therefore the knowledge remains largely unused. This is the crucial point that motivated a project that has been conducted at In- formation and Communication faculty of HdM 1 Stuttgart. The main idea is to give computer-based assistance in thesis reviewing. The knowledge that underlies the reviewing is to be represented in a database where it can be shared between all con- cerned actors. The knowledge in the database can be used to guide the reviewing process. The observations of the reviewer are collected in the database and can be used for both generating personalized thesis reviews for the authors and deriving generalized teaching material for all students. To the knowledge of the author, this automated approach is completely novel. To date, knowledge from thesis reviews has only been collected in a very informal way and published by experienced reviewers in the form of general guidelines (e.g. (Lorenzen 2002))." @default.
- W185547181 created "2016-06-24" @default.
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- W185547181 date "2005-01-01" @default.
- W185547181 modified "2023-09-27" @default.
- W185547181 title "Techniques for Knowledge Sharing in Thesis Reviewing" @default.
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