Wengran Wang

Wengran Wang
North Carolina State University | NCSU

About

13
Publications
2,048
Reads
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59
Citations
Citations since 2016
13 Research Items
59 Citations
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20162017201820192020202120220510152025
20162017201820192020202120220510152025
20162017201820192020202120220510152025
Education
August 2016 - May 2018
August 2013 - June 2017
Zhejiang University
Field of study

Publications

Publications (13)
Preprint
The importance of programming education has lead to dedicated educational programming environments, where users visually arrange block-based programming constructs that typically control graphical, interactive game-like programs. The Scratch programming environment is particularly popular, with more than 70 million registered users at the time of t...
Preprint
Full-text available
Programming environments such as Snap, Scratch, and Processing engage learners by allowing them to create programming artifacts such as apps and games, with visual and interactive output. Learning programming with such a media-focused context has been shown to increase retention and success rate. However, assessing these visual, interactive project...
Preprint
Full-text available
Open-ended programming increases students' motivation by allowing them to solve authentic problems and connect programming to their own interests. However, such open-ended projects are also challenging, as they often encourage students to explore new programming features and attempt tasks that they have not learned before. Code examples are effecti...
Preprint
Full-text available
Understanding students' misconceptions is important for effective teaching and assessment. However, discovering such misconceptions manually can be time-consuming and laborious. Automated misconception discovery can address these challenges by highlighting patterns in student data, which domain experts can then inspect to identify misconceptions. I...
Article
Full-text available
Using machine learning to classify student code has many applications in computer science education, such as auto-grading, identifying struggling students from their code, and propagating feedback to address particular misconceptions. However, a fundamental challenge of using machine learning for code classification is how to represent program code...
Conference Paper
Full-text available
Students often get stuck when programming independently, and need help to progress. Existing, automated feedback can help students progress, but it is unclear whether it ultimately leads to learning. We present Step Tutor, which helps struggling students during programming by presenting them with relevant, step-by-step examples. The goal of Step Tu...

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