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http://hdl.handle.net/10603/520758
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Design and implementation of web usage mining system to extract knowledge for modeling the user behaviour | |
dc.date.accessioned | 2023-10-24T06:35:18Z | - |
dc.date.available | 2023-10-24T06:35:18Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/520758 | - |
dc.description.abstract | With the advent of computing and communication technologies, learner s knowledge expansion is made possible whenever and wherever. Web based learning promotes active and independent learning. Large scale e-learning platforms revolutionizes study approaches and also pave way for innovations resulting in effective teaching-learning process. Thus, it improves teaching quality and also promotes educational equity. However, challenges of e-learning platforms include dissimilarity in learner s ability and need, lack of student motivation for learning activities, provision for adaptive learning environment etc. Analyzing the online learner s behavioral characteristics and application of intelligent instructional strategies will enhance quality of learning. Evaluation after the completion of e-learning course never identifies difficulties faced during the process. It is thus essential for an e-learning system to include component offering adaptive control of learning and maintain user interests level. Adaptive e-learning revolves around learner-centric delivery methods and engagement. newline | |
dc.format.extent | xxii, 163 p. | |
dc.language | English | |
dc.relation | p. 154-162 | |
dc.rights | university | |
dc.title | Design and implementation of web usage mining system to extract knowledge for modeling the user behaviour | |
dc.title.alternative | ||
dc.creator.researcher | Abhirami K | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Computer Science Information Systems | |
dc.subject.keyword | E-learning system | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Intelligent Learning Management System | |
dc.subject.keyword | Learner behavior | |
dc.description.note | ||
dc.contributor.guide | Kavitha Devi M K | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | 21 cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 159.73 kB | Adobe PDF | View/Open |
02_prelim_pages.pdf | 1.05 MB | Adobe PDF | View/Open | |
03_content.pdf | 262.19 kB | Adobe PDF | View/Open | |
04_abstract.pdf | 251.59 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 471.72 kB | Adobe PDF | View/Open | |
06_chapter 2.pdf | 322.61 kB | Adobe PDF | View/Open | |
07_chapter 3.pdf | 1.04 MB | Adobe PDF | View/Open | |
08_chapter 4.pdf | 841.94 kB | Adobe PDF | View/Open | |
09_chapter 5.pdf | 630.03 kB | Adobe PDF | View/Open | |
10_chapter 6.pdf | 695.11 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 144.64 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 173.98 kB | Adobe PDF | View/Open |
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