Prediction of HSC examination performance using socioeconomic, psychological and academic factors

Ahamed, Azad; Mahmood, Navid Tanzeem; Rahman, Rashedur M.

doi:10.1109/icece.2016.7853906

Cited by 2 publications

(2 citation statements)

References 6 publications

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“…In our earlier studies (Ahamed et al, 2016(Ahamed et al, , 2017 we have reported some of our initial and general findings. In this research we have made a depth analysis by discovering rules for a specific group which is formed by different intervals of CGPA.…”

Section: Key Findingsmentioning

confidence: 78%

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An intelligent system to predict academic performance based on different factors during adolescence

Ahamed

Mahmood

Rahman

2017

Journal of Information and Telecommunication

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Students need to have an effective education to take advantage of all the latest tools available. Even with a proper education, they are failing to reap its benefits; reasons involve social, economic and psychological factors a student faces during their adolescence. Our research is directed towards this particular problem of educational effectiveness. We have surveyed a large number of students across different districts in Bangladesh. Pre-processing was done thoroughly; the use of data balancing, dimensionality reduction, discretization and normalization in combinations has allowed us to derive the best model that could predict the academic performance based on different factors during the adolescence.

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Section: Key Findingsmentioning

confidence: 78%

“…In our earlier study (Ahamed, Mahmood, and Rahman, 2016), we designed a predictive model where we have applied several techniques, e.g. one-r, gain ratio, to identify the relevant attributes which are highly correlated with the target class in order to reduce the classification error and to address the overfitting problem in prediction.…”

Section: Related Workmentioning

confidence: 99%