Watch the Dallas Symposium LIVE, and fundraiser auction
Ticket proceeds support mindat.org! - click here...
Log InRegister
Quick Links : The Mindat ManualThe Rock H. Currier Digital LibraryMindat Newsletter [Free Download]
Home PageAbout MindatThe Mindat ManualHistory of MindatCopyright StatusWho We AreContact UsAdvertise on Mindat
Donate to MindatCorporate SponsorshipSponsor a PageSponsored PagesMindat AdvertisersAdvertise on Mindat
Learning CenterWhat is a mineral?The most common minerals on earthInformation for EducatorsMindat ArticlesThe ElementsThe Rock H. Currier Digital LibraryGeologic Time
Minerals by PropertiesMinerals by ChemistryAdvanced Locality SearchRandom MineralRandom LocalitySearch by minIDLocalities Near MeSearch ArticlesSearch GlossaryMore Search Options
Search For:
Mineral Name:
Locality Name:
Keyword(s):
 
The Mindat ManualAdd a New PhotoRate PhotosLocality Edit ReportCoordinate Completion ReportAdd Glossary Item
Mining CompaniesStatisticsUsersMineral MuseumsClubs & OrganizationsMineral Shows & EventsThe Mindat DirectoryDevice SettingsThe Mineral Quiz
Photo SearchPhoto GalleriesSearch by ColorNew Photos TodayNew Photos YesterdayMembers' Photo GalleriesPast Photo of the Day GalleryPhotography

Battou, Amal, El, Ali, Cherkaoui, Chihab, Mammass, Driss (2011) Towards an Adaptive Learning System Based on a New Learning Object Granularity Approach. International Journal of Advanced Computer Science and Applications, 2. doi:10.14569/ijacsa.2011.020902

Advanced
   -   Only viewable:
Reference TypeJournal (article/letter/editorial)
TitleTowards an Adaptive Learning System Based on a New Learning Object Granularity Approach
JournalInternational Journal of Advanced Computer Science and Applications
AuthorsBattou, AmalAuthor
El, AliAuthor
Cherkaoui, ChihabAuthor
Mammass, DrissAuthor
Year2011Volume2
PublisherThe Science and Information Organization
DOIdoi:10.14569/ijacsa.2011.020902Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID10368834Long-form Identifiermindat:1:5:10368834:5
GUID0
Full ReferenceBattou, Amal, El, Ali, Cherkaoui, Chihab, Mammass, Driss (2011) Towards an Adaptive Learning System Based on a New Learning Object Granularity Approach. International Journal of Advanced Computer Science and Applications, 2. doi:10.14569/ijacsa.2011.020902
Plain TextBattou, Amal, El, Ali, Cherkaoui, Chihab, Mammass, Driss (2011) Towards an Adaptive Learning System Based on a New Learning Object Granularity Approach. International Journal of Advanced Computer Science and Applications, 2. doi:10.14569/ijacsa.2011.020902
In(n.d.) International Journal of Advanced Computer Science and Applications Vol. 2. The Science and Information Organization

See Also

These are possibly similar items as determined by title/reference text matching only.

Qazdar, Aimad, Cherkaoui, Chihab, Er-Raha, Brahim, Mammass, Driss (2015) AeLF: Mixing Adaptive Learning System with Learning Management System. International Journal of Computer Applications, 119. 1-8 doi:10.5120/21140-4171
Chliah, Hanane, Battou, Amal, hadj, Maryem Ait el, Laoufi, Adil (2023) Hybrid Machine Learning-Based Approach for Anomaly Detection using Apache Spark. International Journal of Advanced Computer Science and Applications, 14 (4) doi:10.14569/ijacsa.2023.0140496
Janati, Salma EL, Maach, Abdelilah, El, Driss (2019) Learning Analytics Framework for Adaptive E-learning System to Monitor the Learner’s Activities. International Journal of Advanced Computer Science and Applications, 10. doi:10.14569/ijacsa.2019.0100835
Janati, Salma El, Maach, Abdelilah, El, Driss (2020) Adaptive e-Learning AI-Powered Chatbot based on Multimedia Indexing. International Journal of Advanced Computer Science and Applications, 11 (12) doi:10.14569/ijacsa.2020.0111238
Mustapha, Riad, Soukaina, Gouraguine, Mohammed, Qbadou, Es-Sâadia, Aoula (2023) Towards an Adaptive e-Learning System Based on Deep Learner Profile, Machine Learning Approach, and Reinforcement Learning. International Journal of Advanced Computer Science and Applications, 14 (5) doi:10.14569/ijacsa.2023.0140528
Rimale, Zouhair, Habib, EL, Tragha, Abderrahim (2016) A Semantic Learning Object (SLO)Web-Editor based on Web Ontology Language (OWL) using a New OWL2XSLO Approach. International Journal of Advanced Computer Science and Applications, 7. doi:10.14569/ijacsa.2016.071241
Adetunji, Adeniran, Ademola, Akande (2014) A Proposed Architectural Model for an Automatic Adaptive E-Learning System Based on Users Learning Style. International Journal of Advanced Computer Science and Applications, 5. doi:10.14569/ijacsa.2014.050401
BOUSMAH, Mohammed, LABOUIDYA, Ouidad, EL, Najib (2015) Design of a Cloud Learning System Based on Multi-Agents Approach. International Journal of Advanced Computer Science and Applications, 6. doi:10.14569/ijacsa.2015.060303
Hambi, El Mostafa, Benabbou, Faouzia (2020) A New Online Plagiarism Detection System based on Deep Learning. International Journal of Advanced Computer Science and Applications, 11 (9) doi:10.14569/ijacsa.2020.0110956
H’roura, Jihad, Bekkari, Aissam, Mammass, Driss, Bouzit, Ali, M´eniel, Patrice, Mansouri, Alamin, Roy, Michael (2019) Scale and Resolution Invariant Spin Images for 3D Object Recognition. International Journal of Advanced Computer Science and Applications, 10. doi:10.14569/ijacsa.2019.0100971
Eddine, Salah, EL, Jamila, LEFDAOUI, Youssef (2015) Learners’ Attitudes Towards Extended-Blended Learning Experience Based on the S2P Learning Model. International Journal of Advanced Computer Science and Applications, 6. doi:10.14569/ijacsa.2015.061010
 
and/or  
Mindat.org is an outreach project of the Hudson Institute of Mineralogy, a 501(c)(3) not-for-profit organization.
Copyright © mindat.org and the Hudson Institute of Mineralogy 1993-2025, except where stated. Most political location boundaries are © OpenStreetMap contributors. Mindat.org relies on the contributions of thousands of members and supporters. Founded in 2000 by Jolyon Ralph.
To cite: Ralph, J., Von Bargen, D., Martynov, P., Zhang, J., Que, X., Prabhu, A., Morrison, S. M., Li, W., Chen, W., & Ma, X. (2025). Mindat.org: The open access mineralogy database to accelerate data-intensive geoscience research. American Mineralogist, 110(6), 833–844. doi:10.2138/am-2024-9486.
Privacy Policy - Terms & Conditions - Contact Us / DMCA issues - Report a bug/vulnerability Current server date and time: August 24, 2025 12:49:14
Go to top of page