So far we have discussed smart LOs (SLOs) mainly from two perspectives: (1) conceptual understanding which focuses on definitions (examples) only (Chaps. 3, 4) and (2) model-driven specification with the focus on variability aspects. Though the model-driven view provides the reader with the fundamental knowledge on SLOs, this knowledge was presented at a higher level of abstraction with many details missed. Knowledge representation and knowledge gaining on SLOs are the different processes. As, according to Bloom’s taxonomy, teaching and learning (roughly knowledge gaining) are most effective when learners are involved in doing something, here accordingly we try to involve the reader in the process of constructing SLOs. Therefore, the aim of this chapter is to deliver the next part of the design methodology, i.e. how the SLOs should be coded, tested and redesigned (if needed).
CITATION STYLE
Štuikys, V. (2015). Smart LOs Design: Higher-Level Coding and Testing Aspects. In Smart Learning Objects for Smart Education in Computer Science (pp. 123–140). Springer International Publishing. https://doi.org/10.1007/978-3-319-16913-2_6
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