A semantic rule-based approach supported by process mining for personalised adaptive learning

Kingsley Okoye; Abdel Rahman H. Tawil; Usman Naeem; Rabih Bashroush; Elyes Lamine

doi:10.1016/j.procs.2014.08.031

A semantic rule-based approach supported by process mining for personalised adaptive learning

Kingsley Okoye
, Abdel Rahman H. Tawil
, Usman Naeem^*
, Rabih Bashroush
, Elyes Lamine

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

25 Citations (SciVal)

Original language	English
Pages (from-to)	203-210
Number of pages	8
Journal	Procedia Computer Science
Volume	37
DOIs	https://doi.org/10.1016/j.procs.2014.08.031
Publication status	Published (VoR) - 2014
Event	5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2014 and the 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2014 - Halifax, Canada Duration: 22 Sept 2014 → 25 Sept 2014

Keywords

Event logs
Learning behaviour
Process mining
Process model
Semantic rules
User profile

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10.1016/j.procs.2014.08.031

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@article{88098872ab2c4f13b36bfcc8e0531db9,

title = "A semantic rule-based approach supported by process mining for personalised adaptive learning",

keywords = "Event logs, Learning behaviour, Process mining, Process model, Semantic rules, User profile",

author = "Kingsley Okoye and Tawil, \{Abdel Rahman H.\} and Usman Naeem and Rabih Bashroush and Elyes Lamine",

note = "Publisher Copyright: {\textcopyright} 2014 The Authors.; 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2014 and the 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2014 ; Conference date: 22-09-2014 Through 25-09-2014",

year = "2014",

doi = "10.1016/j.procs.2014.08.031",

language = "English",

volume = "37",

pages = "203--210",

journal = "Procedia Computer Science",

publisher = "Elsevier",

}

TY - JOUR

T1 - A semantic rule-based approach supported by process mining for personalised adaptive learning

AU - Okoye, Kingsley

AU - Tawil, Abdel Rahman H.

AU - Naeem, Usman

AU - Bashroush, Rabih

AU - Lamine, Elyes

PY - 2014

Y1 - 2014

KW - Event logs

KW - Learning behaviour

KW - Process mining

KW - Process model

KW - Semantic rules

KW - User profile

UR - https://www.scopus.com/pages/publications/84930348273

UR - https://www.scopus.com/pages/publications/84930348273#tab=citedBy

U2 - 10.1016/j.procs.2014.08.031

DO - 10.1016/j.procs.2014.08.031

M3 - Conference article

AN - SCOPUS:84930348273

VL - 37

SP - 203

EP - 210

JO - Procedia Computer Science

JF - Procedia Computer Science

T2 - 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks, EUSPN 2014 and the 4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare, ICTH 2014

Y2 - 22 September 2014 through 25 September 2014

ER -

A semantic rule-based approach supported by process mining for personalised adaptive learning

Keywords

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