Comparison of Biometric Information During Learning of Visual- and Text-Based Programming Languages
Novice programmers often start with visual-based programming languages, such as Blockly or Scratch, whereas experts tend to use text-based programming languages, such as C, C++, Java, or Python. However, a seamless transition from a visual- to a text-based language is yet to be established. Our stud...
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| Vydáno v: | 2023 8th International STEM Education Conference (iSTEM-Ed) s. 1 - 5 |
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| Jazyk: | angličtina japonština |
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IEEE
20.09.2023
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| Abstract | Novice programmers often start with visual-based programming languages, such as Blockly or Scratch, whereas experts tend to use text-based programming languages, such as C, C++, Java, or Python. However, a seamless transition from a visual- to a text-based language is yet to be established. Our study proposes an approach for this transition by introducing intermediate content with features that bridge the gap between visual- and text-based languages, as demonstrated in our previous study. We also show that incorporating this intermediate content enhances understanding of the text-based language. In this study, we measure learners' biometric information during their course of learning of both visual- and text-based languages, aiming to identify any differences in the biometric information during the training process. |
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| AbstractList | Novice programmers often start with visual-based programming languages, such as Blockly or Scratch, whereas experts tend to use text-based programming languages, such as C, C++, Java, or Python. However, a seamless transition from a visual- to a text-based language is yet to be established. Our study proposes an approach for this transition by introducing intermediate content with features that bridge the gap between visual- and text-based languages, as demonstrated in our previous study. We also show that incorporating this intermediate content enhances understanding of the text-based language. In this study, we measure learners' biometric information during their course of learning of both visual- and text-based languages, aiming to identify any differences in the biometric information during the training process. |
| Author | Nakazawa, Makoto Umezawa, Katsuyuki Hirasawa, Shigeichi |
| Author_xml | – sequence: 1 givenname: Katsuyuki surname: Umezawa fullname: Umezawa, Katsuyuki email: umezawa@info.shonan-it.ac.jp organization: Shonan Institute of Technology,Department of Information Science,Kanagawa,Japan – sequence: 2 givenname: Makoto surname: Nakazawa fullname: Nakazawa, Makoto email: nakazawa@jc.u-aizu.ac.jp organization: Junior College of Aizu,Department of Industrial Information Science,Fukushima,Japan – sequence: 3 givenname: Shigeichi surname: Hirasawa fullname: Hirasawa, Shigeichi email: hira@waseda.jp organization: Waseda University,Data Science Center,Tokyo,Japan |
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| SubjectTerms | biometric information Biometrics (access control) C++ languages Java learning analytics Python text-based program-ming Training visual-based programming |
| Title | Comparison of Biometric Information During Learning of Visual- and Text-Based Programming Languages |
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