@article {Faizi2021548,
	title = {Higher Education Students{\textquoteright} Perceptions Towards Using Facebook as a Learning Platform},
	journal = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)},
	volume = {13117 LNCS},
	year = {2021},
	note = {cited By 1},
	pages = {548-554},
	abstract = {Given the ongoing debate among educators regarding the effect of social networks on education, our aim in this article is to explore the perceptions of students towards using Facebook as a learning environment. In this vein, on the basis of the survey we carried out among university students, it was revealed that 87.4\% of the informants resort to this Web-based community to improve their learning. Facebook has, actually, been reported to provide students with an ideal opportunity to access a plethora of learning resources and all class-related information and activities. It also allows them to discuss different topics with classmates and peers and enables them to seek help on learning problems they encounter. Despite the significant role that Facebook plays in boosting students{\textquoteright} learning experience, 72.3\% of the subjects noted that no interaction occurs with teachers on this platform. Facebook might, thus, be considered to be more useful for informal rather than formal learning. {\textcopyright} 2021, Springer Nature Switzerland AG.},
	keywords = {Computer aided instruction, e-learning, Facebook, High educations, Higher education students, Learning environments, Learning platform, Learning problem, Learning resource, Online systems, Social networking (online), Student perceptions, Students, Surveys, University students, Web-based communities},
	doi = {10.1007/978-3-030-91540-7_56},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121624980\&doi=10.1007\%2f978-3-030-91540-7_56\&partnerID=40\&md5=90703fa8bfd08b30f2af977163ab4fc8},
	author = {Faizi, R. and Rudneva, M.}
}
@article {Bouzbita2019153,
	title = {Hidden Markov Model classifier for the adaptive ACS-TSP pheromone parameters},
	journal = {Studies in Computational Intelligence},
	volume = {774},
	year = {2019},
	note = {cited By 0},
	pages = {153-169},
	doi = {10.1007/978-3-319-95104-1_10},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053070003\&doi=10.1007\%2f978-3-319-95104-1_10\&partnerID=40\&md5=a3b7e585281ec5fd0d0268e2187f8014},
	author = {Bouzbita, S. and El Afia, A. and Faizi, R.}
}
@conference {Fkihi20182184,
	title = {How big data is reshaping the e-commerce industry},
	booktitle = {Proceedings of the 31st International Business Information Management Association Conference, IBIMA 2018: Innovation Management and Education Excellence through Vision 2020},
	year = {2018},
	pages = {2184-2189},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060821566\&partnerID=40\&md5=0b245a1936c2cf3e78d4a9af77e3d592},
	author = {Fkihi, S.E. and Faizi, R.}
}
