Please use this identifier to cite or link to this item:
http://hdl.handle.net/123456789/4572
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Tareq Obaid | en_US |
dc.contributor.author | Bilal Eneizan | en_US |
dc.contributor.author | Abumandil, M.S.S. | en_US |
dc.contributor.author | Ahmed Y. Mahmoud | en_US |
dc.contributor.author | Samy S. Abu-Naser | en_US |
dc.contributor.author | Ahmed Ali Atieh Ali | en_US |
dc.date.accessioned | 2023-02-14T07:11:54Z | - |
dc.date.available | 2023-02-14T07:11:54Z | - |
dc.date.issued | 2023 | - |
dc.identifier.issn | 23673370 | - |
dc.identifier.uri | http://hdl.handle.net/123456789/4572 | - |
dc.description | Scopus | en_US |
dc.description.abstract | Educational Data Mining (EDM) is a new paradigm aiming to mine and extract the knowledge necessary to optimize the effectiveness of the teaching process. With normal educational system work, it’s often unlikely to accomplish fine system optimisation due to the large amount of data being collected and tangled throughout the system. EDM resolves this problem by its capability to mine and explore these raw data and as a consequence of extracting knowledge. This paper describes several experiments on real educational data wherein the effectiveness of Data Mining is explained in the migration of the educational data into knowledge. The’s experiment goal at first was to identify important factors of teacher behaviors influencing student satisfaction. In addition to presenting experiences gained through the experiments, the paper aims to provide practical guidance on Data Mining solutions in a real application. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer Science and Business Media Deutschland GmbH | en_US |
dc.subject | EDM | en_US |
dc.subject | Knowledge Survey | en_US |
dc.title | Mining Educational Data to Improve Teachers’ Performance | en_US |
dc.type | International | en_US |
dc.relation.conference | Lecture Notes in Networks and Systems | en_US |
dc.identifier.doi | 10.1007/978-3-031-16865-9_20 | - |
dc.description.page | 243 - 255 | en_US |
dc.volume | 550 LNNS | en_US |
dc.relation.seminar | International Conference on Information Systems and Intelligent Applications, ICISIA 2022 | en_US |
dc.title.titleofbook | Lecture Notes in Networks and Systems | en_US |
dc.date.seminarstartdate | 2022-07-01 | - |
dc.date.seminarenddate | 2022-07-02 | - |
dc.description.placeofseminar | virtual | en_US |
dc.description.type | Indexed Proceedings | en_US |
item.languageiso639-1 | en | - |
item.openairetype | International | - |
item.fulltext | With Fulltext | - |
item.grantfulltext | open | - |
Appears in Collections: | Faculty of Hospitality, Tourism and Wellness - Proceedings |
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