Predicting programming performance by using process behavior in a block-based programming environment-Reference-Cited by-同舟云学术

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Predicting programming performance by using process behavior in a block-based programming environment

Published:2022-11-27 Issue: Volume: Page:1-15
ISSN:1049-4820
Container-title:Interactive Learning Environments
language:en
Short-container-title:Interactive Learning Environments

Author:

Fu Qian¹^ORCID,Tang Wenjing¹,Zheng Yafeng²^ORCID,Ma Haotian¹,Zhong Tianlong³

Affiliation:

1. Faculty of Education, Beijing Normal University, Beijing, People’s Republic of China

2. Institute of Advanced Studies in Humanities and Social Sciences, Beijing Normal University at Zhuhai, Zhuhai, People’s Republic of China

3. Nanping Experimental Primary School, Zhuhai, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

Informa UK Limited

Subject

Computer Science Applications,Education

Link

https://www.tandfonline.com/doi/pdf/10.1080/10494820.2022.2146141

Reference44 articles.

1. Detecting students-at-risk in computer programming classes with learning analytics from students’ digital footprints

2. Failure rates in introductory programming

3. Using learning analytics to assess students' behavior in open-ended programming tasks

4. Programming Pluralism: Using Learning Analytics to Detect Patterns in the Learning of Computer Programming

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1. Understanding the Characteristics of Students’ Behavioral Processes in Solving Computational Thinking Problems Based on the Behavioral Sequences;Journal of Educational Computing Research;2024-04-29

2. Understanding College Students’ Behavioral Patterns in a Blended Learning Class;TechTrends;2024-01-29

3. Early Prediction of Student Performance with LSTM-Based Deep Neural Network;2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC);2023-06

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