Discovering Learners' Characteristics Through Cluster Analysis for Recommendation of Courses in E-Learning Environment

Author(s):  
Bhupesh Rawat ◽  
Sanjay K. Dwivedi

With the emergence of the web, traditional learning has changed significantly. Hence, a huge number of ‘e-learning systems' with the advantages of time and space have been created. Currently, many e-learning systems are being used by a large number of academic institutions worldwide which allow different users of the system to perform various tasks based on their goals. However, most of these systems follow a ‘one size fits all' approach where same resources are offered to learners irrespective of their unique learning requirements. Therefore, personalization is required as a part of e-learning systems which offers resources to learners based on their profile. This research aims to perform cluster analyses in order to validate clusters created through a k-means algorithm. The clusters will be used to classify a new learner into its appropriate class and recommend relevant courses. Finally, the accuracy of the recommendation is evaluated using various evaluation metrics. The proposed recommendation system helps learners to improve their academic performance and hence overall learning process as well.

2020 ◽  
Vol 7 (2) ◽  
pp. 88
Author(s):  
Sefiu Taiwo Oloruntoyin

This work investigates the integration of e-Learning systems and knowledge management technology to improve, capture, organize and deliver large amounts of knowledge. First, a model is proposed for the phases of knowledge management. The model is then enhanced with concepts and technology from e-Learning. The model is then used to illustrate real world scenarios that add increasing amounts of knowledge management to an e-Learning environment. The system, AMID promises high interactivity, efficiency and effectiveness of integration of knowledge management and e-learning. In addition, the developed system will enhance technical learning process.


Author(s):  
Juraj Obonya ◽  
Miroslav Kadlečík

Nowadays, education is a complex process that has many advantages. This is obvi-ously proven, as there are high demands on skills in today’s world. Therefore, it is a good approach to acquire this knowledge during the studies. Therefore, the re-quirement is aimed at the constantly improving and acquiring new experiences. In order to meet as many of these parameters as possible, it is important that we have an appropriately structured environment for students. The teaching process can be interpreted in several ways. In our research, we focus mainly on teaching through e-learning systems. Obviously, these supporting systems have many advanced func-tionalities to help make the whole learning process much easier to understand. In our work, we focus on methods and approaches by which we can evaluate student be-haviour and we can measure the justified course settings. We explored various man-agerial settings inside a concrete course structure. Subsequently there will be statistical evaluation of already cleaned and preprocessed data from the system. At the same time, based on these statistical confirmations, we can propose a set of methodologi-cal recommendations for the teacher, which will help us to improve the quality and effectiveness of the teaching process.


10.28945/3318 ◽  
2009 ◽  
Author(s):  
Oludele Awodele ◽  
Sunday Idowu ◽  
Omotola Anjorin ◽  
Adebunmi Adedire ◽  
Victoria Akpore

The proliferation of e-leaming systems in both learning institutions and companies has contributed a lot to the acquisition and application of new skills. With the growth in technology, especially the internet, e-learning systems are only getting better and having more impact on the users. This paper suggests an approach to e-learning that emphasizes active and open collaboration, and also the integration of other services that aid or contribute to the learning process. This approach aims at having an extended and enhanced learning environment that is tied or connected to other systems within the immediate environment or otherwise. We illustrate the possibility and usability of such system in a university, such that other important administrative systems are integrated into the e-learning system, and collaboration is open to both academic and non-academic personnel’s.


1970 ◽  
Vol 6 (2) ◽  
Author(s):  
Hugo Rego ◽  
Tiago Moreira ◽  
Francisco José García-Peñalvo

The main aim of the AHKME e-learning platform is to provide a system with adaptive and knowledge management abilities for students and teachers. This system is based on the IMS specifications representing information through metadata, granting semantics to all contents in the platform, giving them meaning. In this platform, metadata is used to satisfy requirements like reusability, interoperability and multipurpose. The system provides authoring tools to define learning methods with adaptive characteristics, and tools to create courses allowing users with different roles, promoting several types of collaborative and group learning. It is also endowed with tools to retrieve, import and evaluate learning objects based on metadata, where students can use quality educational contents fitting their characteristics, and teachers have the possibility of using quality educational contents to structure their courses. The learning objects management and evaluation play an important role in order to get the best results in the teaching/learning process.


Author(s):  
Yingqin Zhong ◽  
John Lim

Globalization makes cultural diversity a pertinent factor in e-learning, as distributed learning teams with mixed cultural backgrounds become commonplace in most e-learning programs, which can be study-based (schools and universities) or work-based (training units) (Zhang & Zhou, 2003). In these programs, collaborative learning is supported via computermediated communication technologies and instructional technologies. The primary goal of enhancing learning with technology aids, aligning with the goal of education at all levels, is to engage students in meaningful learning activities, which require learners to construct knowledge by actively interpreting, acquiring, and analyzing their experience (Alavi, Marakas, & Yoo, 2002). In accordance, meaningful learning requires knowledge to be constructed by the learners but not by the teachers. In this regard, collaborative learning, an activity where two or more people work together to create meaning, explore a topic, or improve skills, is considered superior to other individualistic instructional methods (Lerouge, Blanton, & Kittner, 2004). The basic premise underlying this is the socio-learning theory, which advocates that learning and development occur during cooperative socialization among peers and emerge through shared understandings (Leidner & Jarvenpaa, 1995). This highlights the criticality of the communication and collaboration pertaining to an individual’s learning process. Since culture reflects the way one learns (Hofstede, 1997; Vygotsky, 1978), group members’ cultural backgrounds play a significant role in affecting the collaborative learning process (Chang & Lim, 2005). Language, cognitive style, and learning style are some aspects of culture that concern collaborative learning in the short term. Groups which have members of different cultural backgrounds are expected to be availed a wider variety of skills, information, and experiences that could potentially improve the quality of collaborative learning (Rich, 1997). In contrast, a group comprising members of similar backgrounds is vulnerable to the “groupthink” syndrome; when the syndrome operates, members could ignore alternatives, resulting in a deterioration of efficiency in making a group decision (Janis, 1982). Accordingly, it is conceivable that groups formed by members of different cultural backgrounds are inherently less prone to the “groupthink” syndrome. However, the advantages of cultural diversity in achieving meaningful collaborative learning are not easily realized, as the basic modes of communication may vary among different cultures and, in consequence, communication distortion often occurs (Chidambaram, 1992). Collaborative learning systems (CLS) are being increasingly researched owing to their potential capabilities and the associated new opportunities in supporting collaborative learning, in particular for distributed groups involving members of different cultural backgrounds (Alavi & Leidner, 2001). Collaborative learning systems provide the necessary medium to support interaction among learners, and therefore modify the nature and the ef- ficiency of the collaborative learning activities (Mandryk, Inkepn, Bilezikjian, Klemmer, & Landay, 2001). The current article looks into how collaborative learning systems may better accommodate cultural diversity in e-learning groups. In addition, this article discusses pertinent issues regarding the role of a leader in building the common ground among learners in order to maximize the potential of collaborative learning systems when cultural diversity is present.


Author(s):  
Wenhao David Huang ◽  
Steven R. Aragon

As E-learning is gaining popularity in higher education, its evaluation becomes more critical than ever, to ensure the achievement of intended learning outcome. The effectiveness of E-learning system evaluation under current practices, however, remains questionable. One reason for such uncertainty is the lack of direct measurement while learning occurs since most evaluation data is collected after the learning process. Thus this chapter proposes an integrated evaluation approach for E-learning systems based on Cognitive Load Theory and grounded in the 4C/ID-model. Both direct and indirect measurements will be deployed in the integrated approach in the context of cognitive load. Furthermore all evaluation data can be translated into practical E-learning design solutions by triangulating with the 4C/ID-model. This chapter also suggests that future evaluation framework on E-learning should include factors from attitudinal and social aspects of learning process.


Author(s):  
Riu Hu ◽  
Shuyan Wang

Online learning, which was defined as a learning environment using computer communication systems for learning delivery and interaction (Harasim, 1990), has been involved into all facets of society’s education. Online learning can be considered as a subset of the category of e-learning because it refers specifically to learning that is occurring via the Internet or Intranet. Online learning environment normally refers to learning via electronic communications, coursework, and/or information posted on the Web, and through other instructional activities by using Internet.


2021 ◽  
pp. 166-187
Author(s):  
Lalitha T. B. ◽  
Sreeja P. S.

Education provides a predominant source of worldly knowledge around us and changes the perspective of the living society as a global village. However, education has revealed fragmentary remains in the professional competence and personal growth of the learners without the involvement of online learning. E-learning brings out a broader vision of sources to the learners available over the web with the holistic approach to learning from anywhere without cost and minimal effort. The proposed theoretical framework analyses the long-term evolution of e-learning and its effect on mankind. The various methods, technologies, and approaches of e-learning that exist in various forms were discussed exponentially according to the range of necessities among the learners. The recommendation system plays a pivotal role in referring contents and enhancing the learning environment. The education promoted to the learners through the recommendations system over their personal preferences were explored here in detail.


Author(s):  
Zameer Gulzar ◽  
L. Arun Raj ◽  
A. Anny Leema

Data mining approaches have been tried in e-learning systems for information optimization and knowledge extraction to make decisions. In recent years, the recommendation system has gained popularity in every field be it e-commerce, entertainment, sports, healthcare, news, etc. However, in e-learning system, the recommender systems were not effectively utilized in comparison to other domains and thus emerged as a bottleneck for almost all e-learning systems for not offering flexible delivery of the learning resources. Current e-learning systems lack personalization features, and the information is presented in a static way despite their varying learning objectives and needs. The aim of recommender system is to personalize the information with respect to learner interest. The objective of this study is to highlight various algorithmic techniques that can be used to improve information retrieval process to provide effective recommendations to learners for improving their performance and satisfaction level.


2020 ◽  
Vol 7 (6) ◽  
pp. 414-425
Author(s):  
Omran Alharbi

The advancement of digital technology has a great influence on the development of many areas of modern life. Over recent years, e-learning systems have managed to gain a competitive edge over the more traditional methods of learning. The learning and teaching techniques employed by e-learning systems allow more flexibility and provide freedom from the restrictions of time, location, physical presence and other aspects of traditional learning. Nevertheless, e-learning does have its own drawbacks, and research into the barriers to learning will assist in overcoming some of the problems associated with e-learning success. This study attempts to determine the obstacles that can influence the success of ICT within institutions in the Kingdom of Saudi Arabia. This qualitative research examined the obstacles of the use of ICT in the education process from learner’s perspectives and the potential solutions that can help to reduce these obstacles. Semi-structured interviews were conducted with seven e-learning students from one Saudi University. Purposive sample techniques were used with participants, and the results revealed that there were many barriers that hindered learners from benefitting from the use of ICT in education. These obstacles included lack of technical support, technical issues, lack of English language, lack of design e-course materials, and lack of motivation. In addition, a number of solutions were considered in this study.


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