CV4Code: Sourcecode Understanding via Visual Code Representations

Shi, Ruibo; Tao, Lili; Saphal, Rohan; Silavong, Fran; Moran, Seán

doi:10.1007/978-3-031-26284-5_18

Lecture Notes in Computer Science

2023

DOI: 10.1007/978-3-031-26284-5_18

|View full text |Cite

CV4Code: Sourcecode Understanding via Visual Code Representations

Ruibo Shi

Lili Tao

Rohan Saphal

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2023

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It helps them grasp sentence structure, word relationships, and elements like subjects, verbs, and objects (Radford, 2009;Qureshi et al, 2021). Moreover, it has applications in coding by treating code as visual images, preserving context and structure for analysis (Shi et al, 2023). Syntax trees are visual aids for analyzing English phrases.…”

mentioning

confidence: 99%

Revolutionizing English Language Learning: Reducing Misconceptions with Student-Centered Learning and Syntax Trees

2023

JLLL

View full text Add to dashboard Cite

Prospective educators majoring in English Language Education need competence in various linguistic aspects, including phrase structure. Many students struggle with this due to traditional teaching methods that limit creativity and lead to misconceptions. To address this, a Student -Centered Learning (SCL) approach and the assisted Syntax Tree application were introduced in classes E and F. The study used a One-Group Pretest-posttest Design and SPSS software for data analysis. Results show that the SCL approach with the Syntax Tree application significantly reduces misconceptions about English phrase recognition and improves student engagement and learning outcomes.

show abstract

mentioning

confidence: 99%

Revolutionizing English Language Learning: Reducing Misconceptions with Student-Centered Learning and Syntax Trees

2023

JLLL

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

CV4Code: Sourcecode Understanding via Visual Code Representations

Cited by 1 publication

References 17 publications

Revolutionizing English Language Learning: Reducing Misconceptions with Student-Centered Learning and Syntax Trees

Revolutionizing English Language Learning: Reducing Misconceptions with Student-Centered Learning and Syntax Trees

Contact Info

Product

Resources

About