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Classification and prediction‐based machine learning algorithms to predict students’ low and high programming performance

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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The model for middle school students’ computational identity
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The Effects of Using Different Tools in Programming Teaching of Secondary School Students on Engagement, Computational Thinking and Reflective Thinking Skills for Problem Solving
inferredcites →https://doi.org/10.1007/s10758-021-09565-8openalex-snapshot
Modeling of Relationship of Personal and Affective Variables With Computational Thinking and Programming
inferredcites →https://doi.org/10.1007/s12528-021-09305-yopenalex-snapshot
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Machine Learning: Algorithms, Real-World Applications and Research Directions
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Computational thinking education: Issues and challenges
inferredcites →https://doi.org/10.1016/j.chb.2019.106230openalex-snapshot
Formation of computational identity through computational thinking perspectives development in programming learning: A mediation analysis among primary school students
inferredcites →https://doi.org/10.1016/j.compedu.2017.09.004openalex-snapshot
Analysis of the relation between computational thinking skills and various variables with the structural equation model
inferredcites →https://doi.org/10.1016/j.compedu.2018.08.026openalex-snapshot
A study of primary school students' interest, collaboration attitude, and programming empowerment in computational thinking education
inferredcites →https://doi.org/10.1016/j.dajour.2022.100071openalex-snapshot
A comparative analysis of K-Nearest Neighbor, Genetic, Support Vector Machine, Decision Tree, and Long Short Term Memory algorithms in machine learning
inferredcites →https://doi.org/10.1093/comjnl/bxab214openalex-snapshot
An Educational Data Mining System For Predicting And Enhancing Tertiary Students’ Programming Skill
inferredcites →https://doi.org/10.1108/ijqrm-04-2019-0131openalex-snapshot
Designing predictive maintenance systems using decision tree-based machine learning techniques
inferredcites →https://doi.org/10.1109/access.2021.3126896openalex-snapshot
Understanding Students’ Acceptance of Online Judge System in Programming Courses: A Structural Equation Modeling Approach
inferredcites →https://doi.org/10.1109/comitcon.2019.8862451openalex-snapshot
A Quick Review of Machine Learning Algorithms
inferredcites →https://doi.org/10.1109/icici.2017.8365371openalex-snapshot
Classification and prediction based data mining algorithms to predict students' introductory programming performance
inferredcites →https://doi.org/10.1109/icse.2003.1201243openalex-snapshot
The impact of pair programming on student performance, perception and persistence
inferredcites →https://doi.org/10.1109/mintc.2018.8363153openalex-snapshot
Recursive clustering technique for students' performance evaluation in programming courses
inferredcites →https://doi.org/10.1111/bjet.13175openalex-snapshot
Computational identity and programming empowerment of students in computational thinking development
inferredcites →https://doi.org/10.1111/j.1467-8535.2008.00847.xopenalex-snapshot
Exploring the effects of gender and learning styles on computer programming performance: implications for programming pedagogy
inferredcites →https://doi.org/10.1111/jcal.12302openalex-snapshot
Flipped learning readiness in teaching programming in middle schools: Modelling its relation to various variables
inferredcites →https://doi.org/10.1145/1929887.1929905openalex-snapshot
Bringing computational thinking to K-12
inferredcites →https://doi.org/10.1177/0735633119827956openalex-snapshot
Modeling Different Variables in Learning Basic Concepts of Programming in Flipped Classrooms
inferredcites →https://doi.org/10.1186/s40537-019-0219-yopenalex-snapshot
Effectiveness analysis of machine learning classification models for predicting personalized context-aware smartphone usage
inferredcites →https://doi.org/10.21585/ijcses.v5i3.140openalex-snapshot
Development and Validation of the Programming Anxiety Scale
inferredcites →https://doi.org/10.3102/0034654317710096openalex-snapshot
Changing a Generation’s Way of Thinking: Teaching Computational Thinking Through Programming
inferredcites →https://doi.org/10.3389/fnins.2022.1018005openalex-snapshot
Applying machine learning technologies to explore students’ learning features and performance prediction
inferredcites →https://doi.org/10.4018/978-1-7998-4576-8.ch003openalex-snapshot
Investigation of Variables Related to Computational Thinking Self-Efficacy Level in Middle School Students
inferredcites →https://doi.org/10.48550/arxiv.1201.0490openalex-snapshot
Scikit-learn: Machine Learning in Python
inferredcites →https://doi.org/10.5120/12160-8163openalex-snapshot
An Educational Data Mining Model for Predicting Student Performance in Programming Course

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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