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Title:
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PERSONALIZED FEEDBACKS BASED ON LEARNING
ANALYTICS TO ENHANCE THE LEARNING
OF PROGRAMMING |
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Author(s):
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Zahi Hodeib and Yvan Peter |
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ISBN:
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978-989-8704-17-7 |
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Editors:
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Miguel Baptista Nunes and Pedro Isaias |
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Year:
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2020 |
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Edition:
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Single |
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Keywords:
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Programming, Learning Analytics, Feedbacks, Visualizations, Higher Education |
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Type:
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Short |
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First Page:
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143 |
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Last Page:
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147 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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This paper presents a new learning environment called Codeclick. The purpose of the environment is to provide
personalized feedbacks and recommendations to novices in order to improve their learning of programming. Codeclick
uses a Learning Analytics statistical approach based on the learners' digital traces. It also provides visualizations to allow
learners to monitor their performance levels and identify their errors. These visualizations also allow the teacher to
identify blocking problems and intervene at the appropriate moment. Preliminary results of the design and the use of
Codeclick show an improvement in the learners' performance, in terms of the number of errors made, as well as the time
spent per activity. |
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