Differential Analysis of Heart Rate, Facial Expressions and Brain Wave During Learning of Visual- and Text-Based Languages

From 2020, programming education has become compulsory in elementary schools. Visual-based programming languages are becoming popular as an introduction to programming. At universities, students learn text-based programming languages such as C and Java. Much research has been conducted on the transi...

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Vydané v:2024 IEEE World Engineering Education Conference (EDUNINE) s. 1 - 6
Hlavní autori: Umezawa, Katsuyuki, Koshikawa, Takumi, Nakazawa, Makoto, Hirasawa, Shigeichi
Médium: Konferenčný príspevok..
Jazyk:English
Japanese
Vydavateľské údaje: IEEE 10.03.2024
Predmet:
Biometrics (access control)
Computer languages
e-Learning
EEG
Engineering education
Facial Expression Analysis
Heart rate
Java
Keyboards
Language Learning
Learning Condition
Task analysis
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Popis
Shrnutí:From 2020, programming education has become compulsory in elementary schools. Visual-based programming languages are becoming popular as an introduction to programming. At universities, students learn text-based programming languages such as C and Java. Much research has been conducted on the transition from visual- to text-based programming languages. However, most related studies are limited to questionnaire evaluation after learning. In this study, we focus on evaluation during learning. Specifically, 18 types of biometric information (heart rate, 12 facial expressions, and 5 types of brain waves) of learners are measured during visual- and text-based programming language learning. According to the experimental results, the values of "sadness" and "brain wave representing difficulty" were higher when using a visual-based programming language than when using a text-based programming language. Furthermore, the difference was larger in the group with poor keyboard input skills. This group performed the task while feeling contempt, sadness, negative emotions, and difficulties.
DOI:10.1109/EDUNINE60625.2024.10500611