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Recent Advances in Computer Science and Communications

Editor-in-Chief

ISSN (Print): 2666-2558
ISSN (Online): 2666-2566

General Review Article

A Study on E-Learning and Recommendation System

Author(s): A Madhavi*, A Nagesh and A Govardhan

Volume 15, Issue 5, 2022

Published on: 20 October, 2020

Article ID: e060422187023 Pages: 17

DOI: 10.2174/2666255813999201020144108

Price: $65

Abstract

Introduction: Today, technology and internet both are proliferating due to which information access is becoming easier, and is creating new challenges and opportunities in all fields, especially when working in the field of education. For example, the e-learning education system can be personalized in order to acquire knowledge level and learner’s requirements in a learning process. The learning experience, as per the individual learner’s goals, should be adopted.

Background: In the current educational environment, e-learning plays a significant role. For many researchers, it has become one of the most important subjects, as through the use of elearning, the whole education system would revolutionize. There are many areas of e-learning in which research work is being carried out, such as Mass Communication, Information and Technology (IT), Education and Distance Education.

Objectives: To meet the various needs of the learners such as talents, interests and goals an elearning system needs to be designed as a personalized learning system by considering various educational experiences. Many methods such as ontologies, clustering, classification and association rules have been used along with filtering techniques to enhance the personalization and performance of the learner.

Methods: This paper presents a detailed review of the literature of previous work that has been conducted in e-learning area, especially in the recommendation system. Current research works on e-learning has been discussed in this work in order to discover the research developments in this discipline.

Conclusions: One of the vital functions of the current e-learning system is creating a personalized resource recommendation system. In this paper, we reviewed some crucial papers on both e-learning and recommendation systems. Future research work of this paper would be designing efficient and precise e-learning and recommendation system to deal with the problem of substantial personalized information resources as e-learning plays a vital role in preventing virus spread during COVID-19 pandemic.

Keywords: E-learning, Recommendation system, online learning, web-based education, online education, open education.

Graphical Abstract

[1]
P. Chapman, J. Clinton, R. Kerber, T. Khabaza, T. Reinartz, C. Shearer, and R. Wirth, CRIPS-DM 1.0 Step by Step Data Mining Guide., CRISP-DM Consortium, 2000.
[2]
R. Sikka, and A. Dhankhar, "Rana and Chaavi, “A Survey Paper on E-Learning Recommender System”", Int. J. Comput. Appl., vol. 47, pp. 27-30, .
[http://dx.doi.org/10.5120/7218-0024]
[3]
H. Pashler, M. McDaniel, D. Rohrer, and R. Bjork, "Learning styles: concepts and evidence", Psychol. Sci. Public Interest, vol. 9, no. 3, pp. 105-119, 2008.
[http://dx.doi.org/10.1111/j.1539-6053.2009.01038.x] [PMID: 26162104]
[4]
"Vivekananthamoorthy and Natarajan Driving Success in e-Learning Portals: Piazza, a Multi-Faculty Collaborative Model", Int. J. Web-Based Learn. Teach. Technol., vol. 14, pp. 31-49, .
[http://dx.doi.org/10.4018/IJWLTT.2019040103]
[5]
J. Ahmed, and M. Ahmed, "Semantic Web Approach of Integrating Big Data-", RE:view, 2018.
[6]
van der Molen Synchronous learning in an asynchronous learning environment.
[7]
U. K. Mothukuri, Improvisation of learning experience using Learning Analytics in eLearning.
[http://dx.doi.org/10.1109/ELELTECH.2017.8074995]
[8]
D. Jansen, J. Rosewell, and K. Kear, Quality frameworks for MOOCs.Open Education: from OERs to MOOCs., Springer: Berlin, Heidelberg, 2017, pp. 261-281.
[http://dx.doi.org/10.1007/978-3-662-52925-6_14]
[9]
""Zawacki-Richter, Olaf, et al. What research says about MOOCs– An explorative content analysis", The International Review of Research in Open and Distributed Learning 19.1 2018",
[10]
J. He, "James Bailey, Benjamin I. P. Rubinstein, and Rui Zhang, “Identifying at-risk students in massive open online courses", Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI’15), pp. 1749-1755, .
[11]
M.K. Khribi, M. Jemni, and O. Nasraoui, "Automatic Recommendations for E-Learning Personalization Based on Web Usage Mining Techniques and Information Retrieval", In: IEEE International Conference on Advanced Learning Technologies, 2008, pp. 241-245. Santander, Cantabria
[http://dx.doi.org/10.1109/ICALT.2008.198]
[12]
S. Shishehchi, S.Y. Banihashem, and N.A.M. Zin, "A proposed semantic recommendation system for e-learning: A rule and ontology based e-learning recommendation system", In: International Symposium on Information Technology, 2010, pp. 1-5. Kuala Lumpur
[http://dx.doi.org/10.1109/ITSIM.2010.5561329]
[13]
"MIT Open Courseware ", Available at https://ocw.mit.edu/index.htm
[14]
M.R. Markovic, "Advantages and disadvantages of e-learning in comparison to traditional forms of learning", Ann. Univ. Petrosani Economics, vol. 10, no. 2, pp. 289-298, 2010.
[15]
J.A. Higson, "Graduate Employability, ‘Soft Skills’ Versus ‘Hard’ Business Knowledge: A European Study", High. Educ. Eur., vol. 33, no. 4, . [Employability, Mobility and the Labour Market].
[16]
John Demuyakor, "Coronavirus (COVID-19) and Online Learning in Higher Institutions of Education: A Survey of the Perceptions of Ghanaian International Students in China", Online J. Commun. Media Technol., p. 3, 2020.
[17]
A. Kumar, "An exploratory study of unsupervised mobile learning in rural India", 28th International Conference on Human Factors in Computing Systems, CHI 2010, 2010 Atlanta, Georgia, USA.
[http://dx.doi.org/10.1145/1753326.1753435]
[18]
A. Aouine, and L. Mahdaoui, "Integration of Examination Strategies in E-Learning Platform for Assessment of Collaborative Activities", Int. J. Inf. Commun. Technol. Educ., vol. 16, no. 1, pp. 30-49, 2020. [IJICTE].
[http://dx.doi.org/10.4018/IJICTE.2020010103]
[19]
"Sels, The concept employability: a complex mosaic", ", International Journal of Human Resources Development and Management, vol. Volume 3, no. 2, pp, pp. 102-124, .
[20]
N. Agrawal, S. Kumar, S.M. Balasubramaniam, S. Bhargava, P. Sinha, B. Bakshi, and B. Sood, "Effectiveness of virtual classroom training in improving the knowledge and key maternal neonatal health skills of general nurse midwifery students in Bihar, India: A pre- and post-intervention study", Nurse Educ. Today, vol. 36, pp. 293-297, 2016.
[http://dx.doi.org/10.1016/j.nedt.2015.07.022] [PMID: 26298273]
[21]
J. Ahmed, and M. Ahmed, "A web-based framework for classification and integration of news articles big data using ontology", International Journal of Recent Technology and Engineering, vol. 8, no. 3, pp, pp. 3257-3263, .
[22]
Jeelani Ahmed, and Muqeem Ahmed, "Big data and semantic web, challenges and opportunities a survey", International Journal of Engineering & Technology 7.4.5, p. 631p. 633, 2018.
[http://dx.doi.org/10.14419/ijet.v7i4.5.21174]
[23]
"Deli Girik Allo Markus Universitas Kristen Indonesia Toraja, Indonesia,", Is the online learning good in the midst of Covid-19 Pandemic? The case of EFL learners, 2020. Jurnal Sinestesia, vol. 10, no. 1,
[24]
"Gomez, Emilio., and Rodriguez-Marciel, Cristina., “PGDnet: A new problem-solving virtual learning environment”", Br. J. Educ. Technol., vol. 43, no. 4, pp. 576-591, .
[http://dx.doi.org/10.1111/j.1467-8535.2011.01224.x]
[25]
R. Wang, Study Reveals New Challenges for Online College Administrators E-Learn Magazine, 1535-394X/15/02-2735931, 1535., .
[26]
O.R. Zaiane, Building a Recommender Agent for e-Learning Systems., University of Alberta: Edmonton, Alberta, Canada, 2002.
[http://dx.doi.org/10.1109/CIE.2002.1185862]
[27]
U. Armin, D. Kandpal, and K. Tochtermann, First Steps towards Personalization Concepts in eLearning., Know-Centre Graz, 2003.
[28]
X. Li, and S.K. Chang, A Personalized E-Learning System Based on User Profile Constructed Using Information Fusion., University of Pittsburgh: USA, 2006.
[29]
Y.T. Tang, and G. McCalla, Smart Recommendation for an Evolving E-Learning System., Dept. of Computer Science, University of Saskatchewan, 2007.
[30]
A.B. Gil, and F. García-Peñalvo, J., “Learner Course Recommendation in E-Learning Based on Swarm Intelligence., Department of Computer Science, Sciences Faculty University of Salamanca: Salamanca, Spain, 2008.
[31]
R. Agrawal, T. Imielinski, and A. Swami, "Mining association rules between sets of items in large databases 1993", ACM-SIGMOD International Conference Management of Data 1993 Washington,D.C., pp. 207-216, .
[http://dx.doi.org/10.1145/170035.170072]
[32]
S. Chee, J. Han, and K. Wang, "Rectree: An efficient collaborative filtering method", In: International Conference on Data Warehousing and Knowledge Discovery (DAWAK 2001), 2001, pp. 141-151. Munich, Germany
[http://dx.doi.org/10.1007/3-540-44801-2_15]
[33]
G. Linden, B. Smith, and J. York, "Amazon.com recommendations: Item-to-item collaborative filtering", IEEE Internet Comput., vol. 7, pp. 76-80, 2003.
[http://dx.doi.org/10.1109/MIC.2003.1167344]
[34]
B. Sarwar, G. Karypis, J. Konstan, and J. Reidl, "Item-based collaborative filtering recommendation algorithms", In: WWW ’01: Proceedings of the 10th international conference on World Wide Web, 2001, pp. 285-295. NewYork, NY, USA
[http://dx.doi.org/10.1145/371920.372071]
[35]
K. Ghauth, "I., B., and Abdullah, N., A., “Building an E-Learning Recommender System using Vector Space Model and Good Learners Average Rating", Multimedia University and University of Malaya Ninth IEEE International Conference on Advanced Learning Technologies, 2009.
[http://dx.doi.org/10.1109/ICALT.2009.161]
[36]
K. Ghauth, I., and Abdullah, N., A., “Measuring learner’s performance in e-learning recommender systems., Multimedia University, 2010.
[37]
M. Baker, "The Roles of Models in Artificial Intelligence and Education Research: A Prospective View", Int. J. Artif. Intell. Educ., vol. 11, pp. 122-143, 2000.
[38]
H. Margo, "Data Mining in the e-Learning Domain", Comput. Educ., vol. 42, no. 3, pp. 267-287, 2004.
[39]
T.Y. Tang, "McCalla, G.: Smart Recommendation for an Evolving e-Learning System: Architecture and Experiment", Int. J. Learn., vol. 4, no. 1, pp. 105-129, 2005.
[40]
S.H. Ha, S.M. Bae, and S.C. Park, "Web Mining for Distance Education", IEEE International Conference on Management of Innovation and Technology, ICMIT’00, 2000pp. 715-719
[41]
R. Sison, and M. Shimura, "Student Modelling and Machine Learning", Int. J. Artif. Intell. Educ., vol. 9, pp. 128-158, 1998.
[42]
G.D. Stathacopoulou, and M. Grigoriadou, "Neural Network-Based Fuzzy Modeling of the Student in Intelligent Tutoring Systems", In: International Joint Conference on Neural Networks, 1999, pp. 3517-3521. Washington
[http://dx.doi.org/10.1109/IJCNN.1999.836233]
[43]
G.J. Hwang, T.C.K. Huang, and C.R. Tseng, "A Group-Decision Approach for Evaluating Educational Web Sites", Comput. Educ., vol. 42, pp. 65-86, 2004.
[http://dx.doi.org/10.1016/S0360-1315(03)00065-4]
[44]
G.J. Hwang, "A Knowledge-Based System as an Intelligent Learning Advisor on Computer Networks", J. Systems, Man, and Cybernetics, vol. 2, pp. 153-158, 1999.
[45]
G.J. Hwang, C.R. Judy, C.H. Wu, C.M. Li, and G.H. Hwang, "Development of an Intelligent Management System for Monitoring Educational Web Servers", In: 10th Pacific Asia Conference on Information Systems, PACIS 2004,, 2004, pp. 2334-2340.
[46]
K. Mizue, and O. Toshio, "N3: Neural Network Navigation Support- Knowledge-Navigation in Hyperspace: The Sub-symbolic Approach", J. Educ. Multimed. Hypermedia, vol. 10, no. 1, pp. 85-103, 2001.
[47]
B. Minaei-Bidgoli, and W.F. Punch, "Using Genetic Algorithms for Data Mining Optimization in an Educational Web-based System", In: Genetic and Evolutionary Computation Conference, GECCO 2003, 2003, pp. 2252-2263.
[http://dx.doi.org/10.1007/3-540-45110-2_119]
[48]
D. Traynor, and J.P. Gibson, "Synthesis and Analysis of Automatic Assessment Methods in CS1", In: 36th SIGCSE Technical Symposium on Computer Science Education 2005, SIGCSE’05,, 2005, pp. 495-499. St. Louis Missouri, USA
[http://dx.doi.org/10.1145/1047344.1047502]
[49]
M. Papagelis, and D. Plexousakis, "Qualitative analysis of user- based and item-based prediction algorithms for recommendation agents", Eng. Appl. Artif. Intell., vol. 18, no. 7, pp. 781-789, 2005.
[http://dx.doi.org/10.1016/j.engappai.2005.06.010]
[50]
O. Licchelli, T.M. Basile, N. Di Mauro, and F. Esposito, "Machine Learning Approaches for Inducing Student Models", In: 17th International Conference on Innovations in Applied Artificial Intelligence, IEA/AIE 2004, LNAI Vol. 3029, 2004, pp. 935-944.
[http://dx.doi.org/10.1007/978-3-540-24677-0_96]
[51]
J. Yoo, S. Yoo, C. Lance, and J. Hankins, "Student Progress Monitoring Tool Using Tree view", Technical Symposium on Computer Science Education, SIGCSE’06, 2006pp. 1-5
[52]
F.C.I. Chang, L.P. Hung, and T.K. Shih, "A New Courseware for Quantitative Measurement of Distance Learning Courses", J. Inf. Sci. Eng., vol. 19, pp. 989-1014, 2003.
[53]
G. Grieser, P.J. Klaus, and S. Lange, "Consistency Queries in Information Extraction", In: International Conference on Algorithmic Learning Theory, Lecture Notes in Artificial Intelligence, vol. Vol. 2533, , 2002, pp. 173-187.
[54]
K.P. Jantke, G. Grieser, and S. Lange, "Adaptation to the Learners’ Needs and Desires by Induction and Negotiation of Hypotheses", Auer, M.E., Auer U. (eds.): International Conference on Interactive Computer Aided Learning, ICL 2004, 2004 Villach, Austria.
[55]
D. Wang, Y. Bao, G. Yu, and G. Wang, "Using Page Classification and Association Rule Mining for Personalized Recommendation in Distance Learning", In: Fong, J., et al. (eds.): International Conference on Web Based Learning, ICWL 2002. LNCS Vol. 2436,, 2002, pp. 363-374.
[http://dx.doi.org/10.1007/3-540-45689-9_30]
[56]
O.R. Zaïane, and J. Luo, "Towards Evaluating Learners’ Behavior in a Web-based Distance Learning Environment", In: IEEE International Conference on Advanced Learning Technologies, ICALT’01, 2001, pp. 357-360. Madison, WI
[http://dx.doi.org/10.1109/ICALT.2001.943944]
[57]
G.J. Hwang, C.L. Hsiao, and C.R. Tseng, "A Computer-Assisted Approach to Diagnosing Student Learning Problems in Science Courses", J. Inf. Sci. Eng., vol. 19, pp. 229-248, 2003.
[58]
J. Heraud, L. France, and A. Mille, "Pixed: an ITS that Guides Students with the Help of Learners’ Interaction Log", In: International Conference on Intelligent Tutoring Systems, Workshop Analyzing Student Tutor Interaction Logs to Improve Educational Outcomes, 2004, pp. 57-64. Maceio, Brazil
[59]
E.B. Clara, “Time in e-Learning Research: A Qualitative Review of the Empirical Considerations of Time in Research in e- learning”, International Scholarly Research Network., ISRN Education, 2012.
[60]
H. Cho, G. Gay, B. Davidson, and A. Ingraffea, Social Networks, Communication Styles and Learning Performance in a CSCL Community Comput. Educ...
[61]
C. Y. Yang, H. H. Hsu, and J. C. Hung, A Web Content Suggestion System for Distance Learning.
[62]
S. H. Ho, S. M. Bae, and S. C. Park, web mining for distance education.
[63]
M. Munka, and M. Drlíka, Impact of Different Pre-Processing Tasks on Effective Identification of Users’ Behavioral Patterns in Web-based Educational System.
[http://dx.doi.org/10.1016/j.procs.2011.04.177]
[64]
"Alejandro Fernandez, and ChristophRensing, “Evaluating Recommender Systems for Technology Enhanced Learning: A Quantitative Survey”", IEEE Trans. Learn. Technol., pp. 326-344, 2015.
[65]
E.S. Agarwal, "E-learning: New trend in Education and Training", Int. J. Adv. Res. (Indore), vol. 1, no. 8, pp. 797-810, 2013.
[66]
R. Bridgstock, "The graduate attributes we’ve overlooked: enhancing graduate employability through career management skills", High. Educ. Res. Dev., vol. 28, no. 1, .
[http://dx.doi.org/10.1080/07294360802444347]
[67]
""A Personalized Web Content Recommendation System for ELearners in E-Learning Environment", National Information Technology Conference (NITC), 2017", Colombo, Sri Lanka
[68]
"SongJieGong A Collaborative Filtering Recommendation Algorithm Based on User Clustering and Item Clustering", J. Softw., vol. 5, no. 7, 2010.
[69]
N. Thai-Nghe, L. Drumond, and A. Krohn-Grimberghe, Procedia Comput. Sci., vol. 1, no. 2, pp. 2811-2819, 2010.
[http://dx.doi.org/10.1016/j.procs.2010.08.006]
[70]
H. Imran, M. Belghis-Zadeh, T-W. Chang, and S.G. Kinshuk, "PLORS: a personalized learning object recommender system", Vietnam Journal of Computer Science, vol. 3, no. 1, pp. 3-13, 2016.
[http://dx.doi.org/10.1007/s40595-015-0049-6]
[71]
J. Ahmed, and R. Gulmeher, "Nosql databases: New trend of databases, emerging reasons, classification and security issues", Int. J. Eng. Sci. Res. Technol., vol. 4, no. 6, 2015.
[72]
J. Ahmed, and M. Ahmed, "Ontological Based Approach of Integrating Big Data: Issues and ProspectsLecture Notes in Electrical EngineeringSpringer, ",
[http://dx.doi.org/10.1007/978-981-15-1420-3_38]
[73]
P. Baudisch, Joining Collaborative and Content-Based Filtering SIGCHI conference on. Human Factors in Computing Systems (CHI ‘99), Pittsburgh, PA, USA, , 1999.
[74]
V. Kumar, J. Nesbit, and K. Han, "Rating Learning Object Quality with Distributed Bayesian Belief Networks: The Why and the How", IEEE International Conference in Advanced Learning Technologies (ICALT 2005) Kaohsiung, Taiwan.
[http://dx.doi.org/10.1109/ICALT.2005.230]
[75]
X. Li, and S.K. Chang, A Personalized E-Learning System Based on User Profile Constructed Using Information Fusion., University of Pittsburgh: USA, 2006.
[76]
N. Manouselis, R. Vuorikari, and F. Van Assche, "Simulated Analysis of MAUT Collaborative Filtering for Learning Object Recommendation", Workshop on Social Information Retrieval for Technology-Enhanced Learning & Exchange, 2007.
[77]
J. Zhong, and X. Li, "Unified collaborative filtering model based on combination of latent features", Expert Syst. Appl., vol. 37, pp. 5666-5672, 2010.
[http://dx.doi.org/10.1016/j.eswa.2010.02.044]
[78]
M. Salehi, and I. Nakhai Kamalabadi, "Hybrid Recommendation Approach for Learning Material Based on Sequential Pattern of the Accessed Material and the Learner’s Preference Tree", Knowl. Base. Syst., vol. 48, pp. 57-69, 2013.
[http://dx.doi.org/10.1016/j.knosys.2013.04.012]
[79]
D. Button, "E-learning & information communication technology (ICT) in nursing education: A review of the literature", Nurse Educ. Today, 2013.
[PMID: 23786869]
[80]
P.K. Udupi, P. Malali, and H. Noronha, "Big data integration for transition from e-learning to smart learning framework", In: MEC International Conference on Big Data and Smart City (ICBDSC), 2016, pp. 1-4. Muscat
[http://dx.doi.org/10.1109/ICBDSC.2016.7460379]
[81]
"Caporarello, Leonardo & Giovanazzi, A. & Manzoni, Beatrice. Reimagine E-learning: a proposal for a 21st learning framework", EAI Endorsed Transactions on e-Learning",
[82]
M. Cantabella, R. Martínez-España, B. Ayuso, J.A. Yáñez, and A.M. Ortega, "Analysis of student behavior in learning management systems through a Big Data framework", Future Gener. Comput. Syst., vol. 90, pp. 262-272, •••.
[http://dx.doi.org/10.1016/j.future.2018.08.003]
[83]
Nikita Bhagatkar, Kapil Dolas, and Ratan Ghosh, An Integrated P2P Framework for E-Learning.
[http://dx.doi.org/10.1007/s12083-020-00919-0]
[84]
"Deli Girik Allo Markus, "Universitas Kristen Indonesia Toraja, Indonesia, “Is the online learning good in the midst of Covid-19 Pandemic? The case of EFL learners", Jurnal Sinestesia, vol. 1, no. 1",
[85]
C-M. Chen, L-J. Duh, and C-Y. Liu, "A Personalized Courseware Recommendation System Based on Fuzzy Item Response Theory", IEEE International Conference on e- Technology, e-Commerce and e-Service (EEE’04), Taipei, Taiwan.
[86]
J. Lu, "A personalized e-learning material recommender system", 2nd International Conference on Information Technology and Applications, 2004. Harbin, China
[87]
C-M. Chen, H-M. Lee, and Y-H. Chen, "Personalized e-learning system using Item Response Theory", Comput. Educ., vol. 44, no. 3, pp. 237-255, 2005.
[http://dx.doi.org/10.1016/j.compedu.2004.01.006]
[88]
R. Farzan, P.and Brusilovsky, “Social navigation support in a course recommendation system., Adaptive Hypermedia and Adaptive Web-Based Systems, Springer Berlin Heidelberg, 2006, pp. 91-100.
[89]
Z. Yu, "Yuichi Nakamura, Seiie Jang, Shoji Kajita, and Kenji Mase, “Ontology-Based Semantic Recommendation for Context- Aware E-Learning", International Conference on Ubiquitous Intelligence and Computing Hong Kong China.
[90]
"Gh.A. “Design a personalized e- learning system based on item response theory and artificial neural network approach”", Expert Syst. Appl., vol. 36, pp. 8013-8021, 2009.
[http://dx.doi.org/10.1016/j.eswa.2008.10.080]
[91]
C. Romero, S. Ventura, A. Zafra, and P.d. Bra, "Applying web usage mining for personalizing hyperlinks in web-based adaptive educational systems", Comput. Educ., vol. 53, pp. 828-840, 2009.
[http://dx.doi.org/10.1016/j.compedu.2009.05.003]
[92]
F. Abel, I.I. Bittencourt, E. Costa, N. Henze, D. Krause, and J. Vassileva, "Recommendations in Online Discussion Forums for E-Learning Systems", IEEE Trans. Learn. Technol., vol. 3, pp. 165-176, 2010.
[http://dx.doi.org/10.1109/TLT.2009.40]
[93]
Y. Li, Z. Niu, W. Chen, and W. Zhang, “Combining Collaborative Filtering and Sequential Pattern Mining for Recommendation in ELearning Environment”, 10th International Advances in Web- Based Learning (ICWL 2011). Hongkong China, 2011, pp. 305-313.
[94]
C. Cobos, O. Rodriguez, J. Rivera, J. Betancourt, M. Mendoza, E. León, and E. Herrera-Viedma, "A hybrid system of pedagogical pattern recommendations based on singular value decomposition and variable data attributes", Inf. Process. Manage., vol. 49, pp. 607-625, 2013.
[http://dx.doi.org/10.1016/j.ipm.2012.12.002]
[95]
M.H. Faisal, A.W. AlAmeeri, and A.A. Alsumait, "An adaptive e-learning framework: crowdsourcing approach", 17th International Conference on Information Integration and Web-based Applications & Services (iiWAS ’15) Association for Computing Machinery, New York, NY, USA.
[http://dx.doi.org/10.1145/2837185.2837249]
[96]
A.Y. Alsobhi, N. Khan, and H. Rahanu, "DAEL Framework: A New Adaptive E-learning Framework for Students with Dyslexia", Procedia Comput. Sci., vol. 51, pp. 1947-1956, 2015.
[http://dx.doi.org/10.1016/j.procs.2015.05.459]
[97]
Mohammed Alhawiti, and Yasser Abdelhamid, A Personalized e-Learning Framework Journal of Education and e-Learning Research, pp, pp. 15-21.
[http://dx.doi.org/10.20448/journal.509.2017.41.15.21]
[98]
Sunil & Doja An Improved Recommender System for E-learning Environments to enhance learning capabilities of Learners.
[99]
M. Cerna, "Modified recommender system model for the utilized eLearning platform", J. Comput. Educ., vol. 7, pp. 105-129, 2020.
[http://dx.doi.org/10.1007/s40692-019-00133-9]
[100]
A. Walker, M. Recker, K. Lawless, and D. Wiley, "Collaborative Information Filtering: A Review and an Educational Application", Int. J. Artif. Intell. Educ., vol. 14, pp. 3-24, 2004.
[101]
T.Y. Tang, and G.I. McCalla, "Smart Recommendation for an Evolving E-Learning System: Architecture and Experiment", Int. J. E-Learn., vol. 4, pp. 105-129, 2005.
[102]
F. Gao, and C. Xing, "Du Xiaoyong and Wang Shan, “Personalised service system based on hybrid Filtering for digital library”", Tsinghua Sci. Technol., vol. 12, pp. 1-8, 2007.
[http://dx.doi.org/10.1016/S1007-0214(07)70001-9]
[103]
E. Garcia, C. Romero, S. Ventura, and C. Castro, "An architecture for making recommendations to courseware authors using association rule mining and collaborative filtering", User Model. User-adapt. Interact., vol. 19, pp. 99-132, 2009.
[http://dx.doi.org/10.1007/s11257-008-9047-z]
[104]
A.T. Wan, and S. Sadiq, "andXueLi, “On Improving Learning Outcomes through Sharing of Learning Experiences", 10th IEEE International Conference on Advanced learning Technologies Sousse, Tunisia.
[105]
E. Garcia, C. Romero, S. Ventura, and C.D. Castro, "A Collaborative Educational Association Rule Mining Tool", Internet High. Educ., vol. 14, pp. 77-88, 2011.
[http://dx.doi.org/10.1016/j.iheduc.2010.07.006]
[106]
M. Salehi, "Nakhai Kamalabadi. and Ghaznavi Ghoushchi, M.B., “Personalized Recommendation of Learning Material Using Sequential Pattern Mining and Attribute Based Collaborative Filtering”", Educ. Inf. Technol., vol. 17, pp. 1-23, 2012.
[107]
M. Salehi, M. Pourzaferani, and S.A. Razavi, "Hybrid Attribute- Based Recommender System for Learning Material Using Genetic Algorithm and a Multidimensional Information Model", Egyptian Informatics Journal, vol. 14, pp. 1-23, 2013.
[http://dx.doi.org/10.1016/j.eij.2012.12.001]
[108]
L. Bajenaru, I. Smeureanu, and A. Balog, "An Ontology-Based E-Learning Framework for Healthcare Human Resource Management", Stud. Inform. Control, vol. 25, pp. 99-108, .
[http://dx.doi.org/10.24846/v25i1y201611]
[109]
Hosam Al-Samarraie, Bee Kim Teng, Ahmed Ibrahim Alzahrani, and Nasser Alalwan, E-learning continuance satisfaction in higher education: a unified perspective from instructors and students Studies in Higher Education, ..
[110]
A. AlShammari, A. Alsumait, and M. Faisal, "Building an Interactive E-Learning Tool for Deaf Children:Interaction Design Process Framework 2018 IEEE Conference on e-Learning, e- Management and e-Services (IC3e), 2018pp. 85-90 Langkawi",
[http://dx.doi.org/10.1109/IC3e.2018.8632629]
[111]
M.M. Iqbal, M. Farhan, S. Jabbar, Y. Saleem, and S. Khalid, "Multimedia based IoT-centric smart framework for eLearning paradigm", Multimedia Tools Appl., vol. 78, pp. 3087-3106, •••.
[http://dx.doi.org/10.1007/s11042-018-5636-y]
[112]
H. Peng, S. Ma, and J.M. Spector, "Personalized adaptive learning: an emerging pedagogical approach enabled by a smart learning environment", Smart Learn. Environ., vol. 6, p. 9, 2019.
[http://dx.doi.org/10.1186/s40561-019-0089-y]
[113]
Al-Abri Amal & Jamoussi, Yassine & Al-Khanjari, Zuhoor & Kraiem, Naoufel. PerLCol: A Framework for Personalized e-Learning with Social Collaboration Support.
[114]
J. Littenberg-Tobias, J.A. Ruipérez-Valiente, and J. Reich, "Studying Learner Behavior in Online Courses With Free-Certificate Coupons: Results From Two Case Studies", International Review of Research in Open and Distributed Learning, vol. 21, no. 1, pp. 1-22, 2020.
[http://dx.doi.org/10.19173/irrodl.v20i5.4564]
[115]
M. Niknam, and P. Thulasiraman, "LPR: A bio-inspired intelligent learning path recommendation system based on meaningful learning theory", Educ. Inf. Technol., 2020.
[http://dx.doi.org/10.1007/s10639-020-10133-3]
[116]
S.N. Kew, S. Petsangsri, and T. Ratanaolarn, "Examining the motivation level of students in e-learning in higher education institution in Thailand: A case study", Educ. Inf. Technol., vol. 23, pp. 2947-2967, 2018.
[http://dx.doi.org/10.1007/s10639-018-9753-z]

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