New e-business model: undergraduate study program search system

Iurasov, Aleksei

doi:10.1504/ijlc.2021.10035252

Cited by 1 publication

(3 citation statements)

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“…b) from 0.758 (LAMA BPO algorithm) to 0.216 (author's algorithm [28])) -study programme Security Systems Engineering. This proves research hypothesis that LAMA BPO algorithm is non-optimal in assessing the school performance, it shows the lower accuracy of models based on central tendency: positive correlation between the level of performance in certain school disciplines and the results of further education in certain university study programs [12]. Probable reason is that LAMA BPO algorithm overestimates the level of knowledge for some pupils and underestimates it for others.…”

Section: Resultssupporting

confidence: 61%

“…This criterion assumes that there is a positive relationship between the level of performance in certain school disciplines and the results of further education in certain university study programmes (simplified -the higher the performance at school, the more successful the university education will be). This relation was confirmed based on the analysis of data of VGTU students [12].…”

Section: Modelling the Academic Performance At Universitysupporting

confidence: 52%

“…Analysing information from Lithuanian universities and electronic school diaries on individual performance of pupils and students, the system advises the most appropriate study programs to school graduates. Analysis of data on VGTU students confirmed the existence of central tendency, a positive correlation between the level of performance in certain school disciplines and the results of further education in certain university study programs [12]. Accordingly, it is possible to create predictive models of university learning results based on demographic data and school learning results.…”

Section: Introductionmentioning

confidence: 81%

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Forecasting of Successful Completion of University Study Programs: Data Pre-processing and Optimization of LAMA BPO Algorithm

Iurasov¹,

Iurasov²

2022

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Lithuanian school graduates wishing to be admitted to state-funded places at universities undergo a competitive selection based on their final school and state exam grades. The problem of organizing competitive selection is that in Lithuania there are different types and scales of school knowledge assessments. Algorithm developed by LAMA BPO address this problem by adjusting grades into a single scale. But choice of final arithmetic values into which pupil's grades are converted is not justified theoretically. Proposed by the authors algorithm is a development of the LAMA BPO algorithm and allows to achieve a consistently higher accuracy of predicting learning results at the university. The higher accuracy of the models indicates a better capture of the central trend: a positive correlation between the level of performance in individual school disciplines and the results of university education in certain study programs.