scholarly journals Systematic Literature Review of E-Learning Capabilities to Enhance Organizational Learning

2021 ◽  
Author(s):  
Michail N. Giannakos ◽  
Patrick Mikalef ◽  
Ilias O. Pappas
Keyword(s):  
Organizational Learning ◽  
Empirical Studies ◽  
Learning Technologies ◽  
Learning Systems ◽  
Future Research ◽  
Learning Capabilities ◽  
E Learning ◽  
Tremendous Importance ◽  
Training Courses ◽  
Organizational Value

AbstractE-learning systems are receiving ever increasing attention in academia, business and public administration. Major crises, like the pandemic, highlight the tremendous importance of the appropriate development of e-learning systems and its adoption and processes in organizations. Managers and employees who need efficient forms of training and learning flow within organizations do not have to gather in one place at the same time or to travel far away to attend courses. Contemporary affordances of e-learning systems allow users to perform different jobs or tasks for training courses according to their own scheduling, as well as to collaborate and share knowledge and experiences that result in rich learning flows within organizations. The purpose of this article is to provide a systematic review of empirical studies at the intersection of e-learning and organizational learning in order to summarize the current findings and guide future research. Forty-seven peer-reviewed articles were collected from a systematic literature search and analyzed based on a categorization of their main elements. This survey identifies five major directions of the research on the confluence of e-learning and organizational learning during the last decade. Future research should leverage big data produced from the platforms and investigate how the incorporation of advanced learning technologies (e.g., learning analytics, personalized learning) can help increase organizational value.

Techniques, Technologies and Patents Related to Intelligent Educational Systems

2011 ◽  
pp. 1-28
Author(s):  
Jim Prentzas ◽  
Ioannis Hatzilygeroudis
Keyword(s):  
Artificial Intelligence ◽  
Learning Systems ◽  
Future Research ◽  
Educational Systems ◽  
Learner Characteristics ◽  
Tutoring Systems ◽  
Artificial Intelligence Methods ◽  
E Learning ◽  
Future Research Directions ◽  
Intelligent Methods

E-learning systems play an increasingly important role in lifelong learning. Tailoring the learning process to individual needs is a key issue in such systems. Intelligent Educational Systems (IESs) are e-learning systems employing Artificial Intelligence methods to effectively adapt to learner characteristics. Main types of IESs are Intelligent Tutoring Systems (ITSs) and Adaptive Educational Hypermedia Systems (AEHSs) incorporating intelligent methods. In this chapter, the authors present technologies and techniques used in the primary modules of IESs and survey corresponding patents. They present issues and problems involving specific IES modules as well as the overall IES. The authors discuss solutions offered for such issues by Artificial Intelligence methods and patents. They also discuss categorization aspects of patents related to IESs and briefly present the work described in some representative patents. Lastly, the authors outline future research directions regarding IESs.

scholarly journals Integration of Knowledge Management and E- Learning Technologies in Academic Institutions

2020 ◽  
Vol 7 (2) ◽  
pp. 88
Author(s):  
Sefiu Taiwo Oloruntoyin
Keyword(s):  
Knowledge Management ◽  
Learning Environment ◽  
Learning Process ◽  
Real World ◽  
Learning Technologies ◽  
Learning Systems ◽  
Academic Institutions ◽  
Management Technology ◽  
Efficiency And Effectiveness ◽  
E Learning

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.

scholarly journals A study of theory and concepts of Organizational Learning Capabilities A review of Literature

2016 ◽  
Vol 8 (8) ◽  
Author(s):  
Ranjit Kumar Mukherji ◽  
H.S Grewal
Keyword(s):  
Organizational Learning ◽  
Learning Theory ◽  
Empirical Studies ◽  
Review Of Literature ◽  
Organizational Learning Theory ◽  
Learning Capabilities ◽  
Conceptual Paper ◽  
And Function

There are various descriptions of Organizational Learning Capabilities, various theories and concepts have been associated with this concept, yet many things remain unexplored. This paper is going to expose the various concepts relating to the Organizational Learning expositions, whereby bringing about clarity in its understanding as a theory and the deductions made by various empirical studies as well. However this is a conceptual paper that is going to bring about clarity with respect to Organizational Learning theory, the major premises on which it rests, and the factors of Organizational Learning that really makes the organization adapt and function as per the requirement of the current times.

SWELS

2010 ◽  
pp. 120-145
Author(s):  
Gianluca Elia ◽  
Giustina Secundo ◽  
Cesare Taurino
Keyword(s):  
Semantic Web ◽  
Learning Environments ◽  
First Generation ◽  
Learning Technologies ◽  
Learning Systems ◽  
Learning System ◽  
E Learning ◽  
Distance Learning Technologies ◽  
Traditional Approaches ◽  
New Generation

This chapter presents a prototypal e-learning system based on the Semantic Web paradigm, called SWELS (Semantic Web E-Learning System). The chapter starts by introducing e-learning as an efficient and just-in-time tool supporting the learning processes. Then a brief description of the evolution of distance learning technologies will be provided, starting from first generation e-learning systems through the current Virtual Learning Environments and Managed Learning Environments, by underling the main differences between them and the need to introduce standards for e-learning with which to manage and overcome problems related to learning content personalization and updating. Furthermore, some limits of the traditional approaches and technologies for e-learning will be provided, by proposing the Semantic Web as an efficient and effective tool for implementing new generation e-Learning systems. In the last section of the chapter, the SWELS system is proposed by describing the methodology adopted for organizing and modeling its knowledge base, by illustrating its main functionalities, and by providing the design of the tool followed by the implementation choices. Finally, future developments of SWELS will be presented, together with some remarks regarding the benefits for the final user in using such system.

Review of Data Mining Techniques and Parameters for Recommendation of Effective Adaptive E-Learning System

2017 ◽  
pp. 1-23 ◽  
Author(s):  
Renuka Mahajan
Keyword(s):  
Data Mining ◽  
Recommender System ◽  
Learning Systems ◽  
Learning System ◽  
Future Research ◽  
Comprehensive List ◽  
Research Areas ◽  
New Models ◽  
E Learning ◽  
Research Intensity

This chapter revolves around the synthesis of three research areas- data mining, personalization, recommendation systems and adaptive e-Learning systems. It also introduces a comprehensive list of parameters, extricated by reviewing the existing research intensity during the period of 2000 to October 2014, for understanding what should be essential parameters for adapting an e-learning. In general, we can consider and answer few questions to answer this body of literature ‘what' can be adapted? What can we adapt to? How do we adapt? This review tries to answer on ‘what' can be adapted. Thus, it advances earlier personalization studies. The gaps in the previous studies in building adaptive e-learning systems were also reviewed. It can help in designing new models for adaptation and formulating novel recommender system techniques. This will provide a foundation to industry experts and scientists for future research in adaptive e-learning.

Interoperability Approach in E-Learning Standardization Processes

2012 ◽  
pp. 542-560 ◽  
Author(s):  
Carmen Bao ◽  
José María Castresana
Keyword(s):  
Learning Environments ◽  
Relational Databases ◽  
Learning Objects ◽  
Learning Technologies ◽  
Learning Systems ◽  
Learning Resources ◽  
Virtual University ◽  
Schema Mappings ◽  
Learning Standards ◽  
E Learning

Providing interoperability by using standards and specifications for E-learning resources is an important element of the virtual learning environments (VLEs). In this context, a large number of international organizations develop specifications that provide principles for reaching a common “language” to be used in exchanging resources among the virtual university. In this paper we turn your attention to an approach and reference for providing interoperability in different standards. The establishment of E-learning standards has promised to improve interoperability between E-learning systems, but can only be done through enforcement of these standards. Many existing E-learning systems are built on top of relational databases, and it is possible a framework which matches XML Schemas (from learning standards) and relational schemas semi-automatically. This type of framework can provide translation between learning objects and relational databases as well as an interface to manually refine existing schema mappings. The focus is E-learning standardization and synchronization in the international and national levels. The work presents a brief updated review and it presents some new challenges, concerning the E-learning standardization processes. This research is in the area of E-learning standardization and issue is one aspect of great interest for all organizations, authorities and experts working in the field of education. Moreover, the most recognized approaches are introduced in order to improve and optimize the management of the E-learning processes. While the establishment of E-learning standards has promised to improve interoperability between E-learning systems, and obviously, this can only be done through enforcement of E-learning standards and E-learning standardization processes. The aim of this work is to discover the useful E-learning technologies as technological tools for teaching. Therefore, teachers must keep in mind clearly that they must optimize teaching by means of them, such as an improvement of quality education for current society in terms of competences, as connections with the current reality that students spent long hours using them. It starts with a brief background to worldwide standardization activities in the field of educational technologies as means of enhancing the accessibility, interoperability, durability, reusability and efficiency of E-learning resources, but more important new demands and problems to be tackled are reviewed. Finally, experimental dates from studies have shown that it is useful a framework that also provides translation between learning objects and relational databases, as well as an interface to manually refine existing schema mappings.

Situated E-Learning

2013 ◽  
pp. 159-175 ◽  
Author(s):  
Anne Adams
Keyword(s):  
Situated Learning ◽  
Virtual Worlds ◽  
Real World ◽  
Learning Technologies ◽  
Learning Systems ◽  
Theory And Practice ◽  
Practice Approach ◽  
E Learning ◽  
Identity Changes ◽  
And Coping

E-learning can free us from bound concepts of who we are. However, our digital identities relate back to varied real world situations within which we live. Situated implications of identity changes are frequently not understood by e-learning systems. This chapter provides a detailed review of situated learning concepts and identity reformation accounts within five case-study situations (i.e. within healthcare, prisons, developing worlds, field based, and virtual worlds) with varied e-learning technologies (i.e. Web2, virtual learning environments, mobile, tabletops1, and virtual worlds). Issues of situated identity, practices, and the impact on real world contexts are reviewed. Findings identify that e-learning systems must be designed to support variations in situations, student awareness, and reflection around implications of identity reformation. A theory and practice approach supports understanding e-learning impacts and future dilemmas. The chapter also provides a review on issues of support and coping mechanisms for impacts from situated learning identity changes.

scholarly journals Organizational learning, authentic leadership and individual-level resistance to change

2019 ◽  
Vol 18 (1) ◽  
pp. 5-28
Author(s):  
Mohamed Mousa ◽  
Hiba K. Massoud ◽  
Rami M. Ayoubi
Keyword(s):  
Organizational Learning ◽  
Authentic Leadership ◽  
Resistance To Change ◽  
Empirical Studies ◽  
Future Research ◽  
Statistical Association ◽  
Content Type ◽  
Individual Level ◽  
Foreign Universities ◽  
Level Resistance

Purpose This paper aims to focus on academics in three private foreign universities located in Cairo (Egypt) to explore the effect of organizational learning on individual-level resistance to change with and without the mediation of authentic leadership. Design/methodology/approach A total of 960 academics were contacted and all of them received a set of questionnaires. After four follow ups, a total of 576 responses were collected with a response rate of 60.00 per cent. The author used the chi-square test to determine the association between organizational learning and authentic leadership. Multiple regressions were used to show how much variation in individual-level resistance to change can be explained by organizational learning and authentic leadership. Findings The findings highlight a statistical association between organizational learning and authentic leadership. Moreover, another statistical association is explored between authentic leadership and individual-level resistance to change. Furthermore, the statistical analysis proved that having an authentic leadership in the workplace fosters the effect of organizational learning in alleviating individual’s resistance to change. Research limitations/implications Data were collected only from academics and did not include rectors and/or heads of academic departments, the matter that may lead to an inflation of statistical relationships. Future research could use a double source method. Moreover, focusing only on private foreign universities working in Egypt diminishes the author’s potential for generalizing his results. Practical implications The author recommends establishing a unit for knowledge management inside every university. The function of this unit includes but is not limited to examining prospective socio-political, cultural and economic changes/challenges in the surrounding environment and preparing the possible scenarios for dealing with them. This in turn should comprise involvement and learning opportunities for academics work in these universities. The suggested units should also organize monthly meetings between academics and representatives from different Egyptian sectors such as NGOs personnel, CEOs of private and public companies, environmentalists and politicians to address what change those actors seek universities to undertake to guide academics to fulfill their expectations. Originality/value This paper contributes by filling a gap in HR management and organization literature in the higher education sector, in which empirical studies on the relationship between organizational learning, authentic leadership and resistance to change have been limited until now.

scholarly journals The research trends in recommender systems for e-learning

2019 ◽  
Vol 14 (1) ◽  
pp. 12-27
Author(s):  
Jiemin Zhong ◽  
Haoran Xie ◽  
Fu Lee Wang
Keyword(s):  
Learning Outcomes ◽  
Recommender Systems ◽  
Learning Systems ◽  
Learning System ◽  
Future Research ◽  
Content Type ◽  
Evaluation Indicator ◽  
Recommendation Algorithms ◽  
E Learning ◽  
Key Indicators

Purpose A recommendation algorithm is typically applied to speculate on users’ preferences based on their behavioral characteristics. The purpose of this paper is to provide a systematic review of recommendation systems by collecting related journal articles from the last five years (i.e. from 2014 to 2018). This paper aims to study the correlations between recommendation technologies and e-learning systems. Design/methodology/approach The paper reviews the relevant articles using five assessment aspects. A coding scheme was put forward that includes the following: the metrics for the e-learning system, the evaluation metrics for the recommendation algorithms, the recommendation filtering technology, the phases of the recommendation process and the learning outcomes of the system. Findings The research indicates that most e-learning systems will adopt the adaptive mechanism as a primary metric, and accuracy is a vital evaluation indicator for recommendation algorithms. In existing e-learning recommender systems, the most common recommendation filtering technology is hybrid filtering. The information collection phase is an important process recognized by most studies. Finally, the learning outcomes of the recommender system can be achieved through two key indicators: affections and correlations. Originality/value The recommendation technology works effectively in closing the gap between the information producer and the information consumer. This technology could help learners find the information they are interested in as well as send them a valuable message. The opportunities and challenges of the current study are discussed; the results of this study could provide a guideline for future research.

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