Learning analytics: Supporting at-risk student through eye-tracking and a robust intelligent tutoring system

2017 ◽  
Author(s):  
Alexander Muriuki Njeru ◽  
Samiullah Paracha
Keyword(s):  
At Risk ◽  
Eye Tracking ◽  
Learning Analytics ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Tutoring System ◽  
At Risk Student

scholarly journals The Impact of Note-Taking on the Learning Process in Intelligent Tutoring System Tutomat

2021 ◽  
Vol 26 (1) ◽  
pp. 31-37
Author(s):  
Ines Šarić-Grgić ◽  
Ani Grubišić ◽  
Branko Žitko
Keyword(s):  
Learning Process ◽  
Learning Analytics ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Complete Analysis ◽  
Note Taking ◽  
Tutoring System ◽  
Student Groups ◽  
Clustering Approach ◽  
The Impact

Abstract The research investigates how note-taking practice affects the learning process in Tutomat, an intelligent tutoring system. The complete analysis includes (i) the identification of learning analytics variables to describe student-Tutomat interaction; (ii) the description of experimental student groups using learning analytics variables; (iii) data-driven clustering and (iv) the comparison of the experimental groups and revealed clusters. The results show that there is a difference in how a student interacts with Tutomat based on note-taking practice. It is revealed that the note-taking practice can be detected using the proposed learning analytics variables with the prediction accuracy of the clustering approach of 85 %.

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