Predictive analysis of student academic performance and employability chances using HLVQ algorithm

2020 ◽  
Author(s):  
K. Subhash Bhagavan ◽  
J. Thangakumar ◽  
D. Venkata Subramanian
Keyword(s):  
Academic Performance ◽  
Predictive Analysis ◽  
Student Academic Performance

scholarly journals Predictive analysis of academic performance of college students using ensemble stacking

2020 ◽  
Vol 7 (2) ◽  
pp. 94-98
Author(s):  
Kaviyarasi R ◽  
Balasubramanian T
Keyword(s):  
Academic Performance ◽  
Family Background ◽  
External Environment ◽  
Personal Characteristics ◽  
Predictive Analysis ◽  
Single Model ◽  
Applied Machine Learning ◽  
Student Academic Performance ◽  
The Poor ◽  
Adaboost Classifier

One of the hottest and most popular methods in applied Machine Learning is Ensemble methods.Ensemble combines predictions from different models to generate a final prediction with better performance than any other single model. The research focused on the implementation of Ensemble method for predicting student academic performance based on their personal characteristics, family background, infrastructural environment in the college and external environment, etc...Our study uses RandomForestClassifier, Logistic Regression, and ExtraTreesClassifier as the Base Learners and AdaBoost Classifier as the Meta Learner. This result helps in predicting the accuracy of students’ academic performance and also in identifying the poor performers, so that early measures prior to final semester examination can be deployed

College Student Academic Performance: Coping and Exercise as Mediators of Multiple Sources of Stress

2008 ◽  
Author(s):  
Joseph R. Scotti ◽  
Brittany Joseph ◽  
Christa Haines ◽  
Courtney Lanham ◽  
Vanessa Jacoby
Keyword(s):  
Academic Performance ◽  
College Student ◽  
Multiple Sources ◽  
Student Academic Performance

Teacher Professional Training and Student Academic Performance at an University from Lima, 2016 [Formación Profesional Docente y Rendimiento Académico en Estudiantes de una Universidad de Lima, 2016]

2019 ◽  
Vol 1 (2) ◽  
pp. 116
Author(s):  
Jorge Luis Torres Ugaz
Keyword(s):  
Veterinary Medicine ◽  
Academic Performance ◽  
Educational System ◽  
Professional Training ◽  
Student Academic Performance ◽  
Teacher Professional ◽  
Study Methodology ◽  
The Relationship

This work emphasizes the teaching work in the progress of the educational system. The objective was to determine the relationship between the Teacher Professional Training and the Academic Performance of the students of Veterinary Medicine and Zootechnics of an University of Lima, Perú. The study methodology was correlational, the sample was 6 teachers and 72 students. The teachers were surveyed and the students were evaluated through the minutes. A mean and direct correlation of 44.05% was obtained between the variables studied.

What Factors at School Influence Student Academic Performance at University

2021 ◽  
Author(s):  
Nazim Ibragimov ◽  
Asmina Barkhandinova ◽  
Nurzat Shayakhmetov ◽  
Aruzhan Akkoziyeva ◽  
Sultanmakhmud Bazarbayev ◽  
...  
Keyword(s):  
Academic Performance ◽  
Student Academic Performance ◽  
School Influence

Predicting Student Academic Performance

2014 ◽  
Vol 10 (3) ◽  
pp. 18-35 ◽  
Author(s):  
M.M. Haris Aslam ◽  
Ahmed F. Siddiqi ◽  
Khuram Shahzad ◽  
Sami Ullah Bajwa
Keyword(s):  
Academic Performance ◽  
Structural Equation Modeling ◽  
University Students ◽  
Knowledge Sharing ◽  
Structural Equation ◽  
Outcome Expectations ◽  
Academic Community ◽  
Equation Modeling ◽  
Student Academic Performance

The biggest challenge in nurturing an academic community is encouraging knowledge sharing among its members. Literature on communities, however, has paid less attention on the role of outcome expectations in encouraging the knowledge sharing behaviors. This study examines the effects of Personal Outcome Expectations (POE) and Community-related Outcome Expectations (COE) on the knowledge sharing behaviors of students and its consequent impact on their academic performance. In order to study these relationships a survey of university students was conducted. Based on structural equation modeling approach, it was found that COE have significant impact on knowledge sharing among the students.

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