Please use this identifier to cite or link to this item:
http://10.1.7.192:80/jspui/handle/123456789/7608
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Joshi, Neeti Dattuprasad | - |
dc.date.accessioned | 2017-07-26T06:23:58Z | - |
dc.date.available | 2017-07-26T06:23:58Z | - |
dc.date.issued | 2017-05 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/7608 | - |
dc.description.abstract | Outcome based education (OBE) refers to the analysis of student performance on the basis of program outcomes, course Learning outcomes, assessment matrix and rubrics for each course. Data analysis can assist in terms of predicting and analyzing the performance based on machine learning algorithms. However, these analysis take into consideration, only the academic performance of the students. An adaptive approach that incorporates both academic information and personal characteristics of the student can be used for a more precise prediction. By using the di erent machine learning algorithms, the accurate prediction and more significant analysis could be procure. This study presents a comparative study of machine learning algorithms for data analysis of outcome based education to obtain accurate algorithm, predictive analysis of grade marks and behavioural analysis of students to and out most impactful behaviour on study. The experimental results contain the predictive analysis, data analysis and comparative analysis of student performance for an intricate analysis of the OBE based implementation. | en_US |
dc.publisher | Institute of Technology | en_US |
dc.relation.ispartofseries | 15MCEI09; | - |
dc.subject | Computer 2017 | en_US |
dc.subject | Project Report 2017 | en_US |
dc.subject | Computer Project Report | en_US |
dc.subject | Project Report | en_US |
dc.subject | 15MCEI | en_US |
dc.subject | 15MCEI09 | en_US |
dc.subject | INS | en_US |
dc.subject | INS 2017 | en_US |
dc.subject | CE (INS) | en_US |
dc.title | Data Analytics of Outcome Based Education | en_US |
dc.type | Dissertation | en_US |
Appears in Collections: | Dissertation, CE (INS) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
15MCEI09.pdf | 15MCEI09 | 2.94 MB | Adobe PDF | ![]() View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.