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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.

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.

Many mass programming courses face the problems related to using multiple graders for student assignments: achieving objectivity and consistency in grading. Grading rubrics are a possible solution to this problem. ALOHA is an online grading tool that provides rubrics that all the graders have to use. ALOHA also provides features that make the grading process, including the writing of a feedback text, more convenient for the graders and the teacher.

It is important for learning that students receive enough of educational feedback of their work. To get the students to be seriously disposed to the feedback it has to be personal, objective and consistent. In large classes ensuring such feedback can be difficult. Grading rubrics are a solution to the objectivity and consistency.ALOHA is an online grading tool based on rubrics which all the graders have to use. Particularly, ALOHA provides features that make the grading process more convenient for the graders and the teacher. By facilitating the graders work ALOHA allows them to focus more on feedback writing.To test the effectiveness of ALOHA in objectivity and consistency we did a comparative statistical analysis on the distribution of grades. The results supported the assumptions showing improvement resulting in similar distribution of grades amongst different graders who used the tool.

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