Cultivating Computational Thinking Through Data Practice
Abstract
After summarising the research context regarding defining, cultivating, and assessing computational thinking (CT), this theoretical paper examines data modelling using interactive displays, a CT practice that may be cultivated across several school subjects. Although working with data is not explicitly mentioned in some CT definitions, this work may activate different CT components, such as abstraction, decomposition, and pattern recognition. Furthermore, interactive displays, which are primarily a means for visualising data, can also be tools for modelling purposes if used within a modelling cycle. Focusing on this modelling in secondary education, we first consider main activities and their underlying skills, and outline what kind of support should be given to modellers, especially novices, in assisting them to complete this as easily as possible. We then consider what computational environment to use, which learning path to follow, and what assessment of learning to apply. Implicati...ons for teacher professional development are included.
Keywords:
Computational thinking / Data modelling / Interactive charts / K-12 education / Teacher educationSource:
IFIP Advances in Information and Communication Technology, 2019, 524, 24-33Publisher:
- Springer New York LLC
Funding / projects:
- Improving the quality and accessibility of education in modernization processes in Serbia (RS-47008)
DOI: 10.1007/978-3-030-23513-0_3
ISBN: 978-3-030-23512-3
Scopus: 2-s2.0-85069501828
Collections
Institution/Community
IPITY - CONF AU - Kadijević, Đorđe PY - 2019 UR - http://ipir.ipisr.org.rs/handle/123456789/311 AB - After summarising the research context regarding defining, cultivating, and assessing computational thinking (CT), this theoretical paper examines data modelling using interactive displays, a CT practice that may be cultivated across several school subjects. Although working with data is not explicitly mentioned in some CT definitions, this work may activate different CT components, such as abstraction, decomposition, and pattern recognition. Furthermore, interactive displays, which are primarily a means for visualising data, can also be tools for modelling purposes if used within a modelling cycle. Focusing on this modelling in secondary education, we first consider main activities and their underlying skills, and outline what kind of support should be given to modellers, especially novices, in assisting them to complete this as easily as possible. We then consider what computational environment to use, which learning path to follow, and what assessment of learning to apply. Implications for teacher professional development are included. PB - Springer New York LLC C3 - IFIP Advances in Information and Communication Technology T1 - Cultivating Computational Thinking Through Data Practice EP - 33 SP - 24 VL - 524 DO - 10.1007/978-3-030-23513-0_3 UR - conv_714 ER -
@conference{ author = "Kadijević, Đorđe", year = "2019", abstract = "After summarising the research context regarding defining, cultivating, and assessing computational thinking (CT), this theoretical paper examines data modelling using interactive displays, a CT practice that may be cultivated across several school subjects. Although working with data is not explicitly mentioned in some CT definitions, this work may activate different CT components, such as abstraction, decomposition, and pattern recognition. Furthermore, interactive displays, which are primarily a means for visualising data, can also be tools for modelling purposes if used within a modelling cycle. Focusing on this modelling in secondary education, we first consider main activities and their underlying skills, and outline what kind of support should be given to modellers, especially novices, in assisting them to complete this as easily as possible. We then consider what computational environment to use, which learning path to follow, and what assessment of learning to apply. Implications for teacher professional development are included.", publisher = "Springer New York LLC", journal = "IFIP Advances in Information and Communication Technology", title = "Cultivating Computational Thinking Through Data Practice", pages = "33-24", volume = "524", doi = "10.1007/978-3-030-23513-0_3", url = "conv_714" }
Kadijević, Đ.. (2019). Cultivating Computational Thinking Through Data Practice. in IFIP Advances in Information and Communication Technology Springer New York LLC., 524, 24-33. https://doi.org/10.1007/978-3-030-23513-0_3 conv_714
Kadijević Đ. Cultivating Computational Thinking Through Data Practice. in IFIP Advances in Information and Communication Technology. 2019;524:24-33. doi:10.1007/978-3-030-23513-0_3 conv_714 .
Kadijević, Đorđe, "Cultivating Computational Thinking Through Data Practice" in IFIP Advances in Information and Communication Technology, 524 (2019):24-33, https://doi.org/10.1007/978-3-030-23513-0_3 ., conv_714 .