The Antecedent of Student Academic Achievement Prediction

Author(s):  
Sandy Kosasi ◽  
Vedyanto ◽  
I Dewa Ayu Eka Yuliani ◽  
Robertus Laipaka
Author(s):  
Zhai Mingyu ◽  
Wang Sutong ◽  
Wang Yanzhang ◽  
Wang Dujuan

AbstractData-driven techniques improve the quality of talent training comprehensively for university by discovering potential academic problems and proposing solutions. We propose an interpretable prediction method for university student academic crisis warning, which consists of K-prototype-based student portrait construction and Catboost–SHAP-based academic achievement prediction. The academic crisis warning experiment is carried out on desensitization multi-source student data of a university. The experimental results show that the proposed method has significant advantages over common machine learning algorithms. In terms of achievement prediction, mean square error (MSE) reaches 24.976, mean absolute error (MAE) reaches 3.551, coefficient of determination ($$R^{2}$$ R 2 ) reaches 80.3%. The student portrait and Catboost–SHAP method are used for visual analysis of the academic achievement factors, which provide intuitive decision support and guidance assistance for education administrators.


2018 ◽  
Vol 20 (suppl_2) ◽  
pp. i167-i167
Author(s):  
Hannah McAtee ◽  
Sheila Barron ◽  
Natalie Denburg ◽  
Amanda Grafft ◽  
Timothy Ginader ◽  
...  

Author(s):  
Abdul Basith ◽  
Rosmaiyadi Rosmaiyadi ◽  
Susan Neni Triani ◽  
Fitri Fitri

The aim of this research is; 1) investigating the level of online learning satisfaction among students during COVID 19; 2) analyzing the influence of differences in gender, years of study, major in determining online learning satisfaction among students during COVID 19; 3) to analyze the relationship between online learning satisfaction and student academic achievement during COVID 19. The population was 656 students at STKIP Singkawang, and then a sample of 357 students (87 males and 270 females) was taken using a simple random sampling technique. The instrument in this study was adapted from Aman's Satisfaction instrument, which was then used to collect research data. Data analysis using SPSS with descriptive statistical techniques, MANOVA, and correlation. The results showed that online learning satisfaction was at a high level, meaning that students were satisfied with the online learning that had been implemented. The major differences have a significant effect on determining online learning satisfaction. Intercorrelation shows that there is a significant relationship on each indicator of online learning satisfaction with academic achievement, meaning that the higher the satisfaction felt by students in online learning, the student's academic achievement will increase.


2018 ◽  
Vol 3 (2) ◽  
pp. 162-171
Author(s):  
Eshthih Fithriyana

This study is a study study that analyzes the role of metacognitive strategies with the help of the PQ4R method on academic achievement of PIAUD students at the Sunan Giri Bojonegoro Institute of Islamic Religion. Students in this case are students who follow the learning process in higher education who are required to equip themselves with standardized competencies created with academic achievement, as a provision to take positions and support in an increasingly competitive world of work. Based on the results of data analysis of interviews, observations and questionnaires showed that the use of metacognitive strategies with the help of the PQ4R method had a significant role in student academic achievement in cognitive courses.


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