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Wei Zhang; Xinyao Zeng; Lingling Song – Education and Information Technologies, 2025
Computational thinking (CT) assessment is crucial for testing the effectiveness of CT skills development. However, the exploration of CT assessment in the context of text-based programming is in its initial stages. The intrinsic relationship between the core skills of text-based programming and the core elements of CT isn't analyzed in depth in…
Descriptors: Mental Computation, Programming, College Students, Evaluation
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Jesús E. Hernández-Zavaleta; Corey Brady; Sandra Becker; Douglas B. Clark – Mathematical Thinking and Learning: An International Journal, 2025
Research on geometric transformations suggests that early learners possess intuitive understandings grounded in motion metaphors, transitioning to mappings. The processes through which students transition between these two conceptions are not fully understood. We propose that Vygotskian hybridizing (related to Vygotsky's articulation of everyday…
Descriptors: Geometric Concepts, Motion, Scientific Concepts, Programming
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Nichole Orench-Rivera; April Bednarski; Paul Craig; Austin Talbot – Journal of College Science Teaching, 2025
Advancements in computation and machine learning have revolutionized science, enabling researchers to address once insurmountable challenges. Bioinformatics, a field that heavily relies on computer-driven analysis of biological data, has greatly benefited from these developments. However, traditional bioinformatics instruction frequently lacks the…
Descriptors: Coding, Computer Science Education, Integrated Curriculum, Programming