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Predicting student performance in higher education using multi-regression models

Leo Willyanto Santoso, Yulia Yulia
2020 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
Most of universities implement intelligent information system (IIS) to support in achieving their vision and mission. One of the features of IIS is student performance prediction.  ...  Moreover, it can recognize at-risk students and allow top educational management to take educative interventions in order to succeed academically.  ...  Comparing the performance of the two multi-regression models in Figure 5 , we can see that the model TELKOMNIKA Telecommun Comput El Control  Predicting student performance in higher education… (Leo  ... 
doi:10.12928/telkomnika.v18i3.14802 fatcat:6ki6j5igjva7haxerg5pb6bqye

Utilizing student activity patterns to predict performance

Kevin Casey, David Azcona
2017 International Journal of Educational Technology in Higher Education  
Using our improved classifier, we can achieve an accuracy of 85% in predicting poor performers prior to the completion of the course.  ...  Apart from being able to support the bulk of student activity in suitable disciplines such as computer programming, Web-based educational systems have the potential to yield valuable insights into student  ...  Funding No funding agency was involved in this project.  ... 
doi:10.1186/s41239-017-0044-3 fatcat:uah5es3crjfzbfmsewaojjbn3i

Predicting Student Academic Performance using Data Generated in Higher Educational Institutes

Areej Fatemah Meghji, Naeem Ahmed Mahoto, Mukhtiar Ali Unar, Muhammad Akram Shaikh
2019 3C Tecnología  
Classification is a popularly explored area in Educational Data Mining for predicting student performance.  ...  The analysis of data generated by higher educational institutes has the potential of revealing interesting facets of student learning behavior.  ...  ACKNOWLEDGEMENTS This research has been performed under the Institute of ICT Mehran University of Engineering and Technology, Pakistan and funded by the ICT Endowment for Sustainable Development.  ... 
doi:10.17993/3ctecno.2019.specialissue2.366-383 fatcat:q2dcllh2dvbtrok2wzkmlyfo64

Predicting Student Performance in Higher Education Institutions Using Decision Tree Analysis

Alaa Khalaf Hamoud, Ali Salah Hashim, Wid Aqeel Awadh
2018 International Journal of Interactive Multimedia and Artificial Intelligence  
Three built classifiers (J48, Random Tree and REPTree) were used in this model with the questionnaires filled in by students.  ...  The overall success of educational institutions can be measured by the success of its students.  ...  Higher education institutions are generally interested in the success of students during their study [1, 2] .  ... 
doi:10.9781/ijimai.2018.02.004 fatcat:k3pvoynclje7lmf5ibfufe6buy

Entitlement Attitudes Predict Students' Poor Performance in Challenging Academic Conditions

Donna Anderson, Jamin Halberstadt, Robert Aitken
2013 International Journal of Higher Education  
In the context of tertiary education, we reasoned that if students expend less effort to obtain positive outcomes to which they feel entitled, this should have negative implications for academic performance  ...  of control independently predicted poor exam performance.  ...  The current study explores the implications of entitlement attitudes in the context of higher education.  ... 
doi:10.5430/ijhe.v2n2 fatcat:htjdtyd6prf3bhuzzj4o37xwia

Entitlement Attitudes Predict Students' Poor Performance in Challenging Academic Conditions

Donna Anderson, Jamin Halberstadt, Robert Aitken
2014 International Journal of Higher Education  
In the context of tertiary education, we reasoned that if students expend less effort to obtain positive outcomes to which they feel entitled, this should have negative implications for academic performance  ...  of control independently predicted poor exam performance.  ...  The current study explores the implications of entitlement attitudes in the context of higher education.  ... 
doi:10.5430/ijhe.v2n2p151 fatcat:vpzihm5ax5gblmxjhi2x7pb2ea

Systematic Research on Predictive Models on Students' Academic Performance in Higher Education

2019 International journal of recent technology and engineering  
"student" and "higher education" keywords in their text.  ...  Therefore, this study will conduct a systematic review on the literature, in order to identify the predictive methods for students' academic performance in higher education.  ...  INTRODUCTION Students' academic performance has become an important issue for all levels of education especially in higher education levels.  ... 
doi:10.35940/ijrte.b1061.0782s319 fatcat:ae6ky3kzrbajflhj2njl4trovy

Predicting students' academic performance based on school and socio-demographic characteristics

Tamara Thiele, Alexander Singleton, Daniel Pope, Debbi Stanistreet
2014 Studies in Higher Education  
These predicting variables realized %6 of students' meta cognition ability.  ...  The statistical universe of this research included all students in fifth grade pupils (male and female) of the state schools in strict 2 of Kerman in school year of 2012-2013.  ...  In the equal educational conditions, some students have lower performance than the other their classmates.  ... 
doi:10.1080/03075079.2014.974528 fatcat:7xus4smcpnarlhb4uzo2lx6nxe

An Integrated System Framework for Predicting Students' Academic Performance in Higher Educational Institutions

Olugbenga Adejo, Thomas Connolly
2017 International Journal of Computer Science & Information Technology (IJCSIT)  
Accurate prediction and early identification of student at-risk of attrition are of high concern for higher educational institutions (HEIs).  ...  the student to predict performance.  ...  Beyond this, the framework provides great opportunities to accurately and efficiently improve the performance prediction accuracy of students in higher education institutions.  ... 
doi:10.5121/ijcsit.2017.93013 fatcat:6gsrykdmlngjdbgdutnz6itemq

Improving the portability of predicting students' performance models by using ontologies

Javier López-Zambrano, Juan A. Lara, Cristóbal Romero
2021 Journal of Computing in Higher Education  
One of the main current challenges in Educational Data Mining and Learning Analytics is the portability or transferability of predictive models obtained for a particular course so that they can be applied  ...  The results indicate that the use of the proposed ontology improves the portability of the models in terms of predictive accuracy.  ...  support students' online education.  ... 
doi:10.1007/s12528-021-09273-3 pmid:33776379 pmcid:PMC7988260 fatcat:pmw7ehapizcfzh35wlfa4bvkdq

Classifying and Predicting Students' Performance using Improved Decision Tree C4.5 in Higher Education Institutes

Mohammed Hikmat Sadiq, Nawzat Sadiq Ahmed
2019 Journal of Computer Science  
Students' information in higher education institutions increases yearly. It is hard for them to extract meaningful information from the huge amount of data manually.  ...  This can be done by evaluating the students' performance for the course and also by predicting their performance in the final exam early by using classification algorithms.  ...  In addition, this research proposed a system as a new tool for classification and prediction of students' performance in the higher educational institutes.  ... 
doi:10.3844/jcssp.2019.1291.1306 fatcat:a5nvoleubzavnc5rylndomntae

Who Succeeds at University? Factors predicting academic performance in first year Australian university students

Kirsten McKenzie, Robert Schweitzer
2001 Higher Education Research and Development  
With the increasing diversity of students attending university, there is a growing interest in the factors predicting academic performance.  ...  Identifying the factors that influence academic performance can improve the targeting of interventions and support services for students at risk of academic problems.  ...  Factors predicting academic performance 3 Over the last decade, higher education in Australia has seen a shift from elite to mass education.  ... 
doi:10.1080/07924360120043621 fatcat:47t3rdqorfbs7mqacwwqh4ug54

Predicting Computer Engineering students' dropout in Cuban Higher Education with pre-enrollment and early performance data

Niurys Lázaro Alvarez, Zoraida Callejas, David Griol
2020 Journal of Technology and Science Education  
We have employed institutional data of 456 students and performed several experiments for predicting their permanency into three (promotion, repetition, and dropout) or two classes (promoting, not promoting  ...  We present an educational data analytics case study aimed at the early detection of potential dropout in Computer Engineering studies in Cuba.  ...  They also obtained that successful students were not only the good at mathematics and science at high school, but those who also had a good performance in humanities.  ... 
doi:10.3926/jotse.922 fatcat:7kssj7vfuzdxzkvaruwmyisfxm

Prediction of Student Performance in Academic and Military Learning Environment: Use of Multiple Linear Regression Predictive Model and Hypothesis Testing

Wasi Z. Khan, Sarim Al Zubaidy
2017 International Journal of Higher Education  
The multiple regression model used for predicting the students' performance is adequate for independent variables of aptitude test score, time spent in physical training, and time spent in TNA modules.  ...  The variance in students' academic performance in a civilian institute and in a military technological institute could be linked to the environment of the competition available to the students.  ...  Engg.) and Diploma in Higher Education (DipHE) program were chosen.  ... 
doi:10.5430/ijhe.v6n4p152 fatcat:4xcdgof7nrdifc6vkhb3tuuviq

Predicting Student Performance in Higher Educational Institutions Using Video Learning Analytics and Data Mining Techniques

Raza Hasan, Sellappan Palaniappan, Salman Mahmood, Ali Abbas, Kamal Uddin Sarker, Mian Usman Sattar
2020 Applied Sciences  
Technology and innovation empower higher educational institutions (HEI) to use different types of learning systems—video learning is one such system.  ...  The study aimed to predict student's overall performance at the end of the semester using video learning analytics and data mining techniques.  ...  importance in the prediction of student performance.  ... 
doi:10.3390/app10113894 fatcat:ucgkxpj5lbeabjc6ob5ivflkqm
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