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Student Performance Predictive Model Mitigating Students' Performance Gap In Outcome-Based Education Systems Using Mathematical Model A Case Study

., Vuong Tan Dat (2012) Student Performance Predictive Model Mitigating Students' Performance Gap In Outcome-Based Education Systems Using Mathematical Model A Case Study. Universiti Teknologi Petronas. (Unpublished)

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Abstract

Outcomc-Based Education (OBE) model is a recurring modern means for education reforrn - a process of improving public education. It embodies the idea that best educational practice is to determine the end goals, or "outcomes", before the strategies, processes, techniques, and other nreans can be put into place to achieve them. While applications of OBE model have been continuously expanding and improving, "performanoe gap" - the gap between what students can do and what they are expected to do - still hinders its potential benefits. Mitigating this gap is among priority tasks of educators to achieve long-term goals of educational reform; and developing student performance predictive models is one way to approach this problem. Most previous studies had targeted big scope of a long-term prediction and most had used various range of educational settings as their inputs, including students' demographic profiles and behavioral contents. They had applied diff[erent techniques in order to predict students' academic performance; however, due to the nattrre of these inputs, all had adopted complex data mining models. This project, instead, was purposely narrowed down to short-term programming cowses at Universiti Teknologi PETRONAS (UTP), Malaysia Main purpose was to design a finctioning short-term predictive model which continuously assised lecturers to analpe patterns and to accurately predict students' upcoming perforrnance and final rezuh in order to provide timely intervention and adjustment. The writer introduced a unique approach by focusing on a simplified set of rnputs including (1) students' courtework breakdown and (2) users' dynamically subjective inputs. Instead of conplex data mining modcls, a straightforward mathematical model was developed and y65 highly customized to best utilize those inputs, which resulted in a high level of accuracy for predictive outputs. A fully developed system from the testrng protot)?e promises to s€rve as a relatively convenient tool for UTP lecturers to rnilize simple yet richly inforrnative coursework data into predicting students' performance, then mitigating the performalrce gap and ultimately achieving set objectives of UTP's OBE systenr.

Item Type: Final Year Project
Academic Subject : info
Subject: UNSPECIFIED
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Users 2053 not found.
Date Deposited: 08 Apr 2013 10:47
Last Modified: 25 Jan 2017 09:41
URI: http://utpedia.utp.edu.my/id/eprint/6420

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