BlockLens: Visual Analytics of Student Coding Behaviors in Block-Based Programming Environments

Author:

Tsung Sean1,Wei Huan2,Li Haotian2,Wang Yong3,Xia Meng4,Qu Huamin2

Affiliation:

1. The Hong Kong University of Science and Technology & University of California, Berkeley, Hong Kong, Hong Kong

2. The Hong Kong University of Science and Technology, Hong Kong, Hong Kong

3. Singapore Management University, Singapore, Singapore

4. Carnegie Mellon University, Pittsburgh, PA, USA

Publisher

ACM

Reference30 articles.

1. [n.d.]. Blockly. https://developers.google.com/blockly. Accessed on Mar 1 2022. [n.d.]. Blockly. https://developers.google.com/blockly. Accessed on Mar 1 2022.

2. [n.d.]. Kernel Density Estimation. https://en.wikipedia.org/wiki/Kernel_density_estimation. Accessed on Mar 1 2022. [n.d.]. Kernel Density Estimation. https://en.wikipedia.org/wiki/Kernel_density_estimation. Accessed on Mar 1 2022.

3. [n.d.]. Snap! Build Your Own Blocks. https://snap.berkeley.edu/about. Accessed on Mar 1 2022. [n.d.]. Snap! Build Your Own Blocks. https://snap.berkeley.edu/about. Accessed on Mar 1 2022.

4. ViSeq: Visual Analytics of Learning Sequence in Massive Open Online Courses

5. SpiraClock

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