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Ihrmark, Daniel; Tyrkkö, Jukka – Education for Information, 2023
The combination of the quantitative turn in linguistics and the emergence of text analytics has created a demand for new methodological skills among linguists and data scientists. This paper introduces KNIME as a low-code programming platform for linguists interested in learning text analytic methods, while highlighting the considerations…
Descriptors: Linguistics, Data Science, Programming, Data Analysis
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Marianthi Grizioti; Chronis Kynigos – Informatics in Education, 2024
Even though working with data is as important as coding for understanding and dealing with complex problems across multiple fields, it has received very little attention in the context of Computational Thinking. This paper discusses an approach for bridging the gap between Computational Thinking with Data Science by employing and studying…
Descriptors: Computation, Thinking Skills, Data Science, Classification
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Ibrahim Oluwajoba Adisa; Danielle Herro; Oluwadara Abimbade; Golnaz Arastoopour Irgens – Information and Learning Sciences, 2024
Purpose: This study is part of a participatory design research project and aims to develop and study pedagogical frameworks and tools for integrating computational thinking (CT) concepts and data science practices into elementary school classrooms. Design/methodology/approach: This paper describes a pedagogical approach that uses a data science…
Descriptors: Learner Engagement, Elementary School Students, Data Science, Computation