Name
Abstract | ||
|---|---|---|
This paper reports on the results of a multi-year project in which we identified essential pedagogy and curriculum for teaching introductory computing courses focused on Creative Computation using Processing. The curriculum aligns with a traditional 'CS1' approach as well as 'AP CS A', and goes well beyond "CS Principles" standards to teach foundations of computer science and programming. We addressed the bridge between high school and entry-level college curriculum in computer science (American freshman high school to freshman college) and demonstrated how algorithmic art provides a powerful vehicle for diverse student populations within a broad range of pedagogical frameworks ranging from traditional structured classrooms to inquiry-based student-driven project labs. A secondary result is that instructors require long-term engagement with mentors to extend their own knowledge of computing, visual arts and appropriate pedagogy.
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Year | DOI | Venue |
|---|---|---|
2018 | 10.1145/3159450.3159539 | SIGCSE '18: The 49th ACM Technical Symposium on Computer Science Education
Baltimore
Maryland
USA
February, 2018 |
Keywords | Field | DocType |
CS AP,K-12 Computing,CS0,CS1,creative computation,Processing | Algorithmic art,Computer science,Curriculum,Mathematics education,Multimedia,Computational creativity | Conference |
ISBN | Citations | PageRank |
978-1-4503-5103-4 | 0 | 0.34 |
References | Authors | |
7 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dianna Xu | 1 | 67 | 8.40 |
| Ursula Wolz | 2 | 155 | 36.57 |
| Deepak Kumar | 3 | 177 | 27.52 |
| Ira Greenburg | 4 | 0 | 0.34 |