With this model, a summary of an article dissertation is (almost) generated by itself
In this article, we will launch a working method that we have developed to produce a summary of the article dissertation. The article introduces a concrete peer-to-peer model that includes fourteen peer guidance guidelines. The model is based on our own experience of writing an article paper summary. We emphasize the benefits of peer support in the writing process, and the article serves as an inspiration for collaborative writing of research text. The article is aimed at the authors of the dissertation, as well as instructors and those interested in developing university education.
Although article dissertations have become more common in recent years, they are still a relatively new form of dissertation, especially in the fields of education and social sciences and the humanities. The faculties often have their own very general guidelines for article dissertations, but there are only a few guidelines for students and instructors on the format of article dissertations. Although there are good guides to the dissertation in general, as in the case of scientific writing, it is difficult to find more detailed information about the structure of the article section of the dissertation. It may be challenging for the dissertation to know how to make an article dissertation summary.
In this article, we will try to give you some answers. We do not comment on how the summary of the article dissertation “is” to do. We will tell you about our own experience and the working methods we have used, which can be applied by supervisors and students of the dissertation as they wish. We emphasize our cooperation in writing the writing process. Our doctoral theses are empirical and settle in the field of criminology / legal sociology: the second was a doctoral dissertation at the Faculty of Social Sciences of the University of Helsinki and another under the auspices of the Faculty of Law of the University.
In this article, we are launching our “peer support doctoral” working method to produce an article dissertation summary. The method we launched is based on peer support , which we will briefly introduce first. We emphasize the benefits of peer support in the writing process, and so the article can also be read as a more general inspiration for collaboration and peer writing to write any research text. The article then introduces concrete weekly steps – 14 peer meetings – based on our own work. These can be used either alone or in a peer group. The text is very concrete and we have also put together tips and homework.
This article is primarily aimed at the authors of the dissertation, but it is also intended as a tool for tutors, heads of doctoral seminars and other persons interested in developing university education.
Importance of peer support
Peer support has been highlighted as an important form of learning. Peer learning can be defined as the development of knowledge and competence between equals, ie it is based on mutual learning and support of students. The advantage of peer support is, for example, that it increases student commitment and motivation and can reduce the stress of studying. You can solve problems together with your peers and get support for sharing your own learning challenges. Although there has been more community-based learning in universities, it is still being used relatively little.
Our peer-to-peer doctoral model is based on peer support between two doctoral theses. Our method is centered on a similar one in the same situation, ie another graduate student. However, peer support can also be used in a small group of similar students or as one of the small group tutors for others.
The university’s competitive and individual-oriented way of working can make community learning challenging, especially if it is not encouraged by the instructors and the university . The peer-to-peer model is based on positive and constructive encouragement. Mutual trust and keeping promises are also important. Common rules, goals and schedules are central to this model.