Performance-based evaluation of computational thinking skills using machine learning

This thesis study is an evaluation tool that measures the user's Computational Thinking (CT) according to its performance on Block-Based Programming Languages (BBPL) by using Machine Learning Techniques. The evaluation tool makes an evaluation for Machine Learning Model and each of the Computat...

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Published in:2020 Turkish National Software Engineering Symposium (UYMS) pp. 1 - 5
Main Authors: Karakas, Elif, Turhan Yondem, Meltem
Format: Conference Proceeding
Language:English
Turkish
Published: IEEE 07.10.2020
Subjects:
Block-Based Programming Languages
Computational modeling
Computational Thinking
Computer languages
Machine learning
Performance evaluation
Programming profession
Software engineering
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Abstract This thesis study is an evaluation tool that measures the user's Computational Thinking (CT) according to its performance on Block-Based Programming Languages (BBPL) by using Machine Learning Techniques. The evaluation tool makes an evaluation for Machine Learning Model and each of the Computational Thinking seven fields. Via this developed tool, the objective is to product an alternative to the limited evaluation tools on Block-Based Programming Languages. Literature research was brought out in two sides as Machine Learning and Block-Based Programming Languages. In the first stage, on Machine Learning, the data set and the methods used in educational field were researched. In the second stage, the devices which are used to measure the performance on Block- Based Programming Languages were analyzed. On literature, there are various sources for teaching Computational Thinking ,but it occurs that measuring instruments that evaluates Computational Thinking are inadequate. To evaluate Computational Thinking a machine learning model was trained. Trained model was turned into online evaluation tool by which both the tutors and the students evaluate Computational Thinking easily. In the final stage, the developed online evaluation tool and the outcome was analyzed.
AbstractList This thesis study is an evaluation tool that measures the user's Computational Thinking (CT) according to its performance on Block-Based Programming Languages (BBPL) by using Machine Learning Techniques. The evaluation tool makes an evaluation for Machine Learning Model and each of the Computational Thinking seven fields. Via this developed tool, the objective is to product an alternative to the limited evaluation tools on Block-Based Programming Languages. Literature research was brought out in two sides as Machine Learning and Block-Based Programming Languages. In the first stage, on Machine Learning, the data set and the methods used in educational field were researched. In the second stage, the devices which are used to measure the performance on Block- Based Programming Languages were analyzed. On literature, there are various sources for teaching Computational Thinking ,but it occurs that measuring instruments that evaluates Computational Thinking are inadequate. To evaluate Computational Thinking a machine learning model was trained. Trained model was turned into online evaluation tool by which both the tutors and the students evaluate Computational Thinking easily. In the final stage, the developed online evaluation tool and the outcome was analyzed.
Author Karakas, Elif
Turhan Yondem, Meltem
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  givenname: Meltem
  surname: Turhan Yondem
  fullname: Turhan Yondem, Meltem
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  organization: İstanbul Okan Üniversitesi,Mühendislik Fakültesi,İstanbul,TÜRKİYE
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Snippet This thesis study is an evaluation tool that measures the user's Computational Thinking (CT) according to its performance on Block-Based Programming Languages...
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SubjectTerms Block-Based Programming Languages
Computational modeling
Computational Thinking
Computer languages
Machine learning
Performance evaluation
Programming profession
Software engineering
Title Performance-based evaluation of computational thinking skills using machine learning
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