Text Mining Analyses of Programming Education Articles Since the 1970s

نویسندگان

چکیده

In order to assess the extent which text-mining techniques can be used gain insights into a particular topic area, we apply hierarchical word clustering and Term Frequency-Inverse Document Frequency (TF-IDF) measure articles on computer programming published since 1970s, when research teaching are now more readily available in PDF files. Study 1 compares two sets of papers before after introduction concept Computational Thinking 2006 highlight changes seen these sets. Articles mentioned frequently cited review were selected as target ensure quality sample. 2 extends sample pool include range allowing us examine stability conceptual structures identified 1. both studies, obtained clusters or concepts align with known trends programming-education literature. The significance potential also discussed.

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ژورنال

عنوان ژورنال: Information and Technology in Education and Learning

سال: 2023

ISSN: ['2436-1712']

DOI: https://doi.org/10.12937/itel.3.1.reg.p001