Result prediction system for Multi-Tenant database of University

Tiwari, Amit Kumar; Rohatgi, Divya; Pandey, Akhilesh; Singh, Anil Kumar

doi:10.1109/iadcc.2013.6514423

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Evolution Of Data Sources In Student Performance Prediction1

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“…Recent studies that still consider student performance at the lower levels of education incorporate additional parameters obtained from more recent achievements of students such as freshman and sophomore years as well ([8], [9], [10], [11]). …”

Section: Evolution Of Data Sources In Student Performance Predictionmentioning

confidence: 99%

A Comparative Analysis of Selected Studies in Student Performance Prediction

Ashenafi¹

2017

IJDKP

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Section: Evolution Of Data Sources In Student Performance Predictionmentioning

confidence: 99%

A Comparative Analysis of Selected Studies in Student Performance Prediction

Ashenafi¹

2017

IJDKP

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Predicting academic performance: a systematic literature review

Hellas

Ihantola

Petersen

et al. 2018

Proceedings Companion of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education

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171

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The ability to predict student performance in a course or program creates opportunities to improve educational outcomes. With effective performance prediction approaches, instructors can allocate resources and instruction more accurately. Research in this area seeks to identify features that can be used to make predictions, to identify algorithms that can improve predictions, and to quantify aspects of student performance. Moreover, research in predicting student performance seeks to determine interrelated features and to identify the underlying reasons why certain features work better than others. This working group report presents a systematic literature review of work in the area of predicting student performance. Our analysis shows a clearly increasing amount of research in this area, as well as an increasing variety of techniques used. At the same time, the review uncovered a number of issues with research quality that drives a need for the community to provide more detailed reporting of methods and results and to increase efforts to validate and replicate work.

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Result prediction system for Multi-Tenant database of University

Cited by 2 publications

References 7 publications

A Comparative Analysis of Selected Studies in Student Performance Prediction

A Comparative Analysis of Selected Studies in Student Performance Prediction

Predicting academic performance: a systematic literature review

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