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Fuller, Ursula and Johnson, Colin G. and Ahoniemi, Tuukka et al. (2007) Developing a Computer Science-specific Learning Taxonomy. ACM SIGCSE Bulletin, 39 (4). pp. 152-170. ISSN 0097-8418.
Bloom's taxonomy of the cognitive domain and the SOLO taxonomy are being increasingly widely used in the design and assessment of courses, but there are some drawbacks to their use in computer science. This paper reviews the literature on educational taxonomies and their use in computer science education, identifies some of the problems that arise, proposes a new taxonomy and discusses how this can be used in application-oriented courses such as programming.
Fuller, Ursula and Pears, Arnold and Amillo, June et al. (2006) A Computing Perspective on the Bologna Process. ACM SIGCSE Bulletin, 38 (4). pp. 142-158. ISSN 0097-8418.
The Bologna process is intended to culminate in the formation of the European Higher Education Area (EHEA) by 2010. Its aim is to facilitate the mobility of people, the transparency and recognition of qualifications, quality and development of a European dimension to higher education, and the attractiveness of European institutions for third country students. This paper provides an overview of progress towards implementation in EHEA member states using official documents and interview data from faculty teaching computing in countries represented at the ITiCSE 2006 meeting. The key areas where the structures established by the Bologna process are problematic for computing education arise from the rapidly changing nature of the curriculum. It seems that the maturity and capability criteria, as well as the manner in which learning outcomes are specified, being developed within the Bologna process are too general. This endangers the properties of transparency and mobility that the process intends to promote. Progression and prerequisite knowledge in computing degrees can be very specific. For instance, generic learning outcomes for an introductory programming course quite rightly will not specify the programming language, or languages, used to implement algorithms. However, suppose a student intends to study an advanced algorithms and data structures course in which Java is the language of implementation which has an introductory course in programming as a prerequisite. If the introductory course language was Standard ML it is not clear that the prerequisite course actually provides the student with a suitable background. These types of complexities are typical of computing, where early subject curricula are not standardised nationally or internationally, and create significant hurdles for realising the Bologna objectives.
Fuller, Ursula and Amillo, June and Laxer, Cary et al. (2005) Facilitating student learning through study abroad and international projects. ACM SIGCSE Bulletin, 37 (4). pp. 139-151. ISSN 0097-8418.
Computer science is inherently international but its effective application depends on an understanding of the local culture in which it is being used. Students and faculty need to be prepared to operate in this global environment. This ITiCSE working group report discusses why an international dimension is an important component of a computer science, student's education. It describes ways to add an international dimension to student learning and provides several case studies as examples. Barriers to international study are identified, and recommendations for how to do more to expand the international opportunities of computer science students are discussed.