scholarly journals A systematic review of ontology use in E-Learning recommender system

Author(s):  
Nur W. Rahayu ◽  
Ridi Ferdiana ◽  
Sri S. Kusumawardani
2018 ◽  
Vol 2 (4) ◽  
pp. 271 ◽  
Author(s):  
Outmane Bourkoukou ◽  
Essaid El Bachari

Personalized courseware authoring based on recommender system, which is the process of automatic learning objects selecting and sequencing, is recognized as one of the most interesting research field in intelligent web-based education. Since the learner’s profile of each learner is different from one to another, we must fit learning to the different needs of learners. In fact from the knowledge of the learner’s profile, it is easier to recommend a suitable set of learning objects to enhance the learning process. In this paper we describe a new adaptive learning system-LearnFitII, which can automatically adapt to the dynamic preferences of learners. This system recognizes different patterns of learning style and learners’ habits through testing the psychological model of learners and mining their server logs. Firstly, the device proposed a personalized learning scenario to deal with the cold start problem by using the Felder and Silverman’s model. Next, it analyzes the habits and the preferences of the learners through mining the information about learners’ actions and interactions. Finally, the learning scenario is revisited and updated using hybrid recommender system based on K-Nearest Neighbors and association rule mining algorithms. The results of the system tested in real environments show that considering the learner’s preferences increases learning quality and satisfies the learner.


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hala Najwan Sabeh ◽  
Mohd Heikal Husin ◽  
Daisy Mui Hung Kee ◽  
Ahmad Suhaimi Baharudin ◽  
Rosni Abdullah

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5248
Author(s):  
Aleksandra Pawlicka ◽  
Marek Pawlicki ◽  
Rafał Kozik ◽  
Ryszard S. Choraś

This paper discusses the valuable role recommender systems may play in cybersecurity. First, a comprehensive presentation of recommender system types is presented, as well as their advantages and disadvantages, possible applications and security concerns. Then, the paper collects and presents the state of the art concerning the use of recommender systems in cybersecurity; both the existing solutions and future ideas are presented. The contribution of this paper is two-fold: to date, to the best of our knowledge, there has been no work collecting the applications of recommenders for cybersecurity. Moreover, this paper attempts to complete a comprehensive survey of recommender types, after noticing that other works usually mention two–three types at once and neglect the others.


2021 ◽  
Author(s):  
Hisyam Athaya ◽  
Rezky Dwi Amaliah Nadir ◽  
Dana Indra Sensuse ◽  
Kautsarina Kautsarina ◽  
Ryan Randy Suryono
Keyword(s):  

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Farhad Salari ◽  
Vida Sepahi

Context: Since the onset of the COVID-19 pandemic, there have been numerous higher education challenges. Medical universities have been urged to dispel students from educational and clinical settings and led them toward virtual education. This sudden transition has been accompanied by multiple challenges. Objectives: The present study aimed to evaluate the challenges of virtual medical education in the COVID-19 pandemic. Study Selection: This systematic review was performed by reviewing the current literature on the research subject and the studies conducted in this regard during March 2019 to April 2021 by searching via five key search engines and databases, including Google Scholar, ScienceDirect, PubMed, Scopus, and ERIC. Results: In total, 23 studies were assessed, and different virtual education challenges in medical universities were classified into three categories of structural challenges, student-related challenges, and teacher-related challenges. In addition, strategies were proposed for overcoming the identified challenges. Conclusions: Since medical education was not properly pursued before the COVID-19 pandemic and the necessary infrastructures are lacking in this area, designing and implementing such programs could bring about fundamental challenges in several countries (especially developing and low-income countries), thereby decreasing their success rate. On the other hand, the coronavirus crisis could be an opportunity to identify the weaknesses, shortcomings, and infrastructural deficiencies in e-learning and address these issues effectively.


Author(s):  
Dumitru Dan Burdescu ◽  
Marian Cristian Mihăescu ◽  
Costel Marian Ionascu ◽  
Bogdan Logofatu

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