Objectives and objective assessment in CS1
Proceedings of the thirty-second SIGCSE technical symposium on Computer Science Education
Introductory programming, criterion-referencing, and bloom
SIGCSE '03 Proceedings of the 34th SIGCSE technical symposium on Computer science education
This course has a Bloom Rating of 3.9
ACE '04 Proceedings of the Sixth Australasian Conference on Computing Education - Volume 30
ACE '06 Proceedings of the 8th Australasian Conference on Computing Education - Volume 52
Bloom's taxonomy for CS assessment
ACE '08 Proceedings of the tenth conference on Australasian computing education - Volume 78
Going SOLO to assess novice programmers
Proceedings of the 13th annual conference on Innovation and technology in computer science education
Modeling long term learning of generic skills
ITS'10 Proceedings of the 10th international conference on Intelligent Tutoring Systems - Volume Part I
Proceedings of the 13th annual conference on Information technology education
Journal of Computing Sciences in Colleges
Coming to terms with Bloom: an online tutorial for teachers of programming fundamentals
ACE '12 Proceedings of the Fourteenth Australasian Computing Education Conference - Volume 123
Efficient egg drop contests: how middle school girls think about algorithmic efficiency
Proceedings of the ninth annual international ACM conference on International computing education research
Student perspective on an online asynchronous introduction to linux based on user-first pedagogy
Proceedings of the 14th annual ACM SIGITE conference on Information technology education
The Canterbury QuestionBank: building a repository of multiple-choice CS1 and CS2 questions
Proceedings of the ITiCSE working group reports conference on Innovation and technology in computer science education-working group reports
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A computer science student is required to progress from a novice programmer to a proficient developer through the programming fundamentals sequence of subjects. This paper deals with the capturing and representation of learning progression. The key contribution is a web-based interactive tutorial that enables computer science educators to practice applying the Bloom Taxonomy in classifying programming exam questions. The tutorial captures participant confidence and self-explanations for each Bloom [5] classification exercise. The results of an evaluation with ten participants were analyzed for consistency and accuracy in the application of Bloom. The confidence and self-explanation measures were used to identify problem areas in the application of Bloom to programming fundamentals. The tutorial and findings are valuable contributions to future ACM/IEEE CS curriculum revisions, which are expected to have a continued emphasis on Bloom [1].