The heuristics for designing an artificial context
2011 (English)In: Symbiosis International Conference on Open & Distance Learning, February, 2011, Swati Mujumdar , 2011Conference paper (Refereed)
One of the reasons for the low completion rate in distance courses is that students cannot identify themselves as being part of the context, in which the knowledge is being taught. The on-campus courses, on the other hand, often provide students with an experience of being part of a community. This shortcoming in distance courses is especially true for students who live far away from the professional situations that are being studied. There are many ways to remedy this, but in this article we focus on only one of these remedies, i.e. the heuristics behind designing an artificial context that will support the students in being able to identify themselves as being part of a community of professionals.
We describe how we iteratively have investigated various forms of artificial contexts in the form of filmed dramatised lectures and filmed seminar instructions. We have systematically tested various forms of course designs that can be classified as “design of context”. Much of the work is focused on designing structures of film-clips. In the films the students can see other students asking questions and doing professional work and thereby the distance students, who view the films, can identify with the students, in the films, and get a feeling of the context of how the knowledge can be used. The distance students are then told to create similar example stories or films of similar professional situations. The students evaluate each others stories of professional situations, and this activity enables them to identify themselves as being part of a professional community.
We evaluated our strategies by studying and interviewing students while they revisited the films of the course pages. Our conclusion is that our proposed heuristics are useful for designing an artificial context for distance education.
Place, publisher, year, edition, pages
Swati Mujumdar , 2011.
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-65072OAI: oai:DiVA.org:su-65072DiVA: diva2:460742