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...

Full description

Saved in:
Bibliographic Details
Published in:2023 8th International STEM Education Conference (iSTEM-Ed) pp. 1 - 5
Main Authors: Umezawa, Katsuyuki, Nakazawa, Makoto, Hirasawa, Shigeichi
Format: Conference Proceeding
Language:English
Japanese
Published: IEEE 20.09.2023
Subjects:
biometric information
Biometrics (access control)
C++ languages
Java
learning analytics
Python
text-based program-ming
Training
visual-based programming
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
DOI:10.1109/iSTEM-Ed59413.2023.10305730