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Predicting student performance in higher education using multi-regression models
2020
TELKOMNIKA (Telecommunication Computing Electronics and Control)
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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
2017
International Journal of Educational Technology in Higher Education
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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
2019
3C Tecnología
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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
2018
International Journal of Interactive Multimedia and Artificial Intelligence
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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
2013
International Journal of Higher Education
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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
2014
International Journal of Higher Education
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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
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"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
2014
Studies in Higher Education
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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
2017
International Journal of Computer Science & Information Technology (IJCSIT)
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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
2021
Journal of Computing in Higher Education
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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
2019
Journal of Computer Science
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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
2001
Higher Education Research and Development
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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
2020
Journal of Technology and Science Education
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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
2017
International Journal of Higher Education
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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
2020
Applied Sciences
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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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