Deep Learning based Ensemble Approach to Predict Student Academic Performance: Case Study

2020 ◽  
Author(s):  
Y. K. Salal ◽  
S. M. Abdullaev
Keyword(s):  
Academic Performance ◽  
Deep Learning ◽  
Ensemble Approach ◽  
Student Academic Performance

Regression analysis of student academic performance using deep learning

2020 ◽  
Author(s):  
Sadiq Hussain ◽  
Silvia Gaftandzhieva ◽  
Md. Maniruzzaman ◽  
Rositsa Doneva ◽  
Zahraa Fadhil Muhsin
Keyword(s):  
Regression Analysis ◽  
Academic Performance ◽  
Deep Learning ◽  
Student Academic Performance

scholarly journals Failure Factors Quality in Vocational and Technical Education in Nigeria Higher Institutions: The Use of Rasch Model

2020 ◽  
Vol 4 (9) ◽  
pp. 186-192
Keyword(s):  
Academic Performance ◽  
Technical Education ◽  
College Of Education ◽  
Difficulty Level ◽  
Analysis Model ◽  
Student Academic Performance ◽  
Vocational And Technical Education ◽  
Internal And External Factors ◽  
Higher Institutions

The study is a case study of the student academic performance in vocational and technical education at the College of Education, Ikere Ekiti. The academic performance of students has been abysmally low. This has grossly impacted the students’ enrolment in the departments and the College in general. The paper identifies the major causes of the failures in vocational and technical education courses in the College. The survey research employing exploratory sequential mixed method was used. It involves 12 Participants and 50 respondents. The Nvivo12 software was used to obtain the word cloud. The Rasch Analysis Model was applied to obtain the Person and Item separations, reliabilities and the respondent’s agreement. The hierarchy details the factors in order relativity and difficulty level. Findings shows that both internal and external factors are the main sources of students’ failure.

scholarly journals Exploring Variation in Student Academic Performance: Can Achievement in an Immersive Case Study Project Predict Exam Score in an Introductory Accounting Course?

2020 ◽  
Vol 20 (2) ◽  
Author(s):  
Penelope M. Lyman ◽  
Alexander E. Olvido
Keyword(s):  
Academic Performance ◽  
University Education ◽  
Classroom Behaviors ◽  
Learning Approaches ◽  
Exam Score ◽  
Student Groups ◽  
Analytical Skills ◽  
Student Academic Performance ◽  
Quasi Experimental

In modern university education, quantitative analytical skills seem best acquired through deep learning of complex, multi-faceted problems. Our quasi-experimental design tested whether student achievement in an immersive classroom case study might affect subsequent academic performance, presumably reflecting deeper learning of fundamental principles in an accounting course. We analyzed exam scores of three behavior-based student groups: (a) “OOP,” who Opted Out of the immersive case study Project, (b) “BMP,” who earned Below Median marks on the Project, and (c) “AMP,” who scored At least the Median on the Project. Results indicate that student academic performance declined at effectively equal rates among the three student groups in any given semester. Surprisingly, students’ self-reported deep strategy more strongly predicted their academic performance, accounting for more than 30% of exam score variation; group membership explained only 1.93% of exam score variation. These results underscore the need to document student learning approaches explicitly in order to complement observations of student classroom behaviors and academic performance.

scholarly journals A SURVEY ON TEACHER’S VARIABLES RESPONSIBLE FOR STUDENT POOR ACADEMIC PERFORMANCE IN BIOLOGY. A CASE STUDY OF ZARIA EDUCATIONAL ZONE OF KADUNA STATE, NIGERIA.

2019 ◽  
Vol 7 (7) ◽  
pp. 513-527
Author(s):  
Safiya Balarabe
Keyword(s):  
Academic Performance ◽  
Student Performance ◽  
Science Teachers ◽  
Research Work ◽  
Biology Teachers ◽  
Teacher Qualification ◽  
Student Academic Performance ◽  
Poor Academic Performance ◽  
School Records

This research work was undertaken to find out the teacher variables responsible for student poor academic performance in Biology (such variables are teacher qualification and teacher years of experience) in zaria educational zone of kaduna state, Nigeria. It was a survey research work and population for the study consisted of all the Science Teachers in Secondary Schools in Zaria Educational Zone where student performance was obtained from school records. The sample of the population was achieved by simple random (paper ballot) method. The instrument used for data collection was a questionnaire. Two Hypothesis were put forward and tested using Pearson Product Moment Correlation (PPMC). Findings from the study showed that there is relationship between Teachers qualification, teachers  year of experience and student academic performance in Biology at P<0.001. Based on the findings, recommendations were made one of which is that Teachers should be encouraged to attend Workshop and conferences. Biology teachers should also be encouraged to further their education.  

Sign in / Sign up

Export Citation Format

Share Document