The three dimensions of computational thinking are computational concepts, computational practices and computational perspectives.
From the review, we propose that more K-12 intervention studies centering on computational practices and computational perspectives could be conducted in the regular classroom.
As for the instructional implication, it is proposed that a constructionism-based problem-solving learning environment, with information processing, scaffolding and reflection activities, could be designed to foster computational practices and computational perspectives.
The "Computational concepts and computational practices" dimension details a quasi-experimental approach, which showed significant improvement regarding learning programming concepts, logic, and computational practices with an active approach.
However, drug discovery process practices, including both experimental and computational methods, commonly ignore this fact and focus on a single pharmaceutical objective at a time.
In this pedagogical design, students interact and create their own content related to curricular areas with several advantages, such as motivation, fun, commitment, and enthusiasm, showing improvements related to computational thinking and computational practices.
One of the main outcomes of the ENCODE and modENCODE, beyond the biological insights that they have produced, is the delineation of standards and recommended practices, both regarding experimental and computational procedures.
Rather, one should be aware of the pitfalls inherent in common computational practices and take appropriate precautions during development and use of the computational model.
Now, researchers must work from the bottom up to construct a comprehensive understanding of biological processes a huge task.The common theme that unites all of these novel approaches to drug discovery, however, is that, rather than abandoning established practices for new-fangled automated and computational techniques, they combine the best of both.
Therefore, one solution is to initially simulate, analyze, and validate practices prior to deploying sensing and computational devices in the real world.
By adopting a new set of practices and by increasing the computational expertise of fMRI researchers, the reproducibility and validity of the field's results will improve.
