Active, context-dependent, data-centered techniques for e-learning: a case study of a research paper recommender system

Author(s):  
T. Tang ◽  
G. McCalla
2017 ◽  
Vol 8 (2) ◽  
pp. 1
Author(s):  
Hadeel Alharbi ◽  
Kamaljeet Sandhu

This paper explores the academic staff perceptions on the factors affecting the acceptance and continuance usage of e-learning recommender system in Saudi Arabia on the basis of a qualitative data that were collected using the case study methodology. In this research, the case study design was selected for the qualitative methodology and semi-structured interviews were employed as the data collection method for the case study. The case study is based in a university implementing an e-learning recommender system in Saudi Arabia. We conducted interviews with five management staff and thus qualitative data were collected. Data analysis was performed and NVIVO 10th version software was also utilised. Data were coded and themes were then generated. Findings indicate several factors that affect an e-learning recommender system adoption that include user experience, service quality, perceived usefulness and perceived ease of use. Various suggestions were offered in this study and we also propose practical implications according to the identified insufficiencies.


GIS Business ◽  
2019 ◽  
Vol 14 (5) ◽  
pp. 21-28
Author(s):  
Abasiama G. Akpan ◽  
Chris Eriye Tralagba

Electronic learning or online learning is a part of recent education which is dramatically used in universities all over the world. As well as the use and integration of e-learning is at the crucial stage in all developing countries. It is the most significant part of education that enhances and improves the educational system. This paper is to examine the hindrances that influence e-learning in Nigerian university system. In order to have an inclusive research, a case study research was performed in Evangel University, Akaeze, southeast of Nigeria. The paper demonstrates similar hindrances on country side. This research is a blend of questionnaires and interviews, the questionnaires was distributed to lecturers and an interview was conducted with management and information technology unit. Research had shown the use of e-learning in university education which has influenced effectively and efficiently the education system and that the University education in Nigeria is at the crucial stage of e-learning. Hence, some of the hindrances are avoiding unbeaten integration of e-learning. The aim of this research is to unravel the barriers that impede the integration of e-learning in universities in Nigeria. Nevertheless, e-learning has modified the teaching and learning approach but integration is faced with many challenges in Nigerian University.


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.


2017 ◽  
Vol 9 (2) ◽  
pp. 67-71
Author(s):  
Herru Darmadi ◽  
Yan Fi ◽  
Hady Pranoto

Learning Object (LO) is a representation of interactive content that are used to enrich e-learning activities. The goals of this case study were to evaluate accessibility and compatibility factors from learning objects that were produced by using BINUS E-learning Authoring Tool. Data were compiled by using experiment to 30 learning objects by using stratified random sampling from seven faculties in undergraduate program. Data were analyzed using accessibility and compatibility tests based on Web Content Accessibility Guidelines 2.0 Level A. Results of the analysis for accessibility and compatibility tests of Learning Objects was 90% better than average. The result shows that learning objects is fully compatible with major web browser. This paper also presents five accessibility problems found during the test and provide recommendation to overcome the related problems. It can be concluded that the learning objects that were produced using BINUS E-learning Authoring Tool have a high compatibility, with minor accessibility problems. Learning objects with a good accessibility and compatibility will be beneficial to all learner with or without disabilities during their learning process. Index Terms—accessibility, compatibility, HTML, learning object, WCAG2.0, web


Author(s):  
Sururin ◽  
Munzier Suparta ◽  
Herlino Nanang ◽  
Amelia Zakiyyatun Nufus ◽  
Kamarusdiana ◽  
...  

Author(s):  
Peng Lu ◽  
Xiao Cong ◽  
Dongdai Zhou

Nowadays, E-learning system has been widely applied to practical teaching. It was favored by people for its characterized course arrangement and flexible learning schedule. However, the system does have some problems in the process of application such as the functions of single software are not diversified enough to satisfy the requirements in teaching completely. In order to cater more applications in the teaching process, it is necessary to integrate functions from different systems. But the difference in developing techniques and the inflexibility in design makes it difficult to implement. The major reason of these problems is the lack of fine software architecture. In this article, we build domain model and component model of E-learning system and components integration method on the basis of WebService. And we proposed an abstract framework of E-learning which could express the semantic relationship among components and realize high level reusable on the basis of informationized teaching mode. On this foundation, we form an E-learning oriented layering software architecture contain component library layer, application framework layer and application layer. Moreover, the system contains layer division multiplexing and was not built upon developing language and tools. Under the help of the software architecture, we could build characterized E-learning system flexibly like building blocks through framework selection, component assembling and replacement. In addition, we exemplify how to build concrete E-learning system on the basis of this software architecture.


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