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Assessing student performance by knowledge driven data mining | |
Author | Malayphone Soulygnavong |
Call Number | AIT RSPR no.ICT-09-09 |
Subject(s) | Data mining--Laos |
Note | Submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Information Communication of Technologies |
Publisher | Asian Institute of Technology |
Series Statement | |
Abstract | This research proposes the new computerized decision support aid using knowledge driven data mining that provides the assessment of student performance during they have studied in School Foundation of Studies (SFS) in National University of Laos, Lao PDR for one year period. This study validated the predictive power of data mining algorithms by using statistical techniques of the student data of 5 years the number sample of student is approximately 11,000 records. This included mean, standard deviation, correlation and rank correlation calculation. The resulting of the analysis is will be help the administrative of National University of Laos (NUOL) understanding of student behavior and will be helped to make plan in the future. |
Year | 2009 |
Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. ICT-09-09 |
Type | Research Study Project Report (RSPR) |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Information and Communication Technology (ICT) |
Chairperson(s) | Guha, Sumanta |
Examination Committee(s) | Phan Minh Dung;Erke, Tapio |
Scholarship Donor(s) | Sida/SAREC, / Asian Institute of Technology Fellowship |
Degree | Research Studies Project Report (M. Eng.) - Asian Institute of Technology, 2009 |