The role of usability on e-learning user interactions and satisfaction: a literature review

2019 ◽  
Vol 21 (3) ◽  
pp. 368-394 ◽  
Author(s):  
Asela Indunil Gunesekera ◽  
Yukun Bao ◽  
Mboni Kibelloh
Keyword(s):  
User Satisfaction ◽  
Analytical Framework ◽  
Learning Systems ◽  
Future Research ◽  
Instructional Designers ◽  
Analysis Framework ◽  
Research Attention ◽  
Content Type ◽  
E Learning ◽  
Different Dimensions

Purpose The purpose of this study is to review the effect of usability factors on e-learning user relationships, namely, student–student interaction (SSI), student–instructor interaction (SII) and student–content interaction (SCI), in the existing e-learning literature. Further, this study intended to identify whether usability contributes to the satisfaction of e-learners. Design/methodology/approach This study has undertaken a systematic review using the PRISMA methodology to filter the literature in the domain of e-learning with respect to usability concerns using six databases. An analytical framework has been formulated to evaluate the literature against different dimensions of interactions and usability. Findings Results reveal that while SSI has grabbed 71.4 per cent research attention with respect to usability factors of e-learning systems, SCI has been given the least focus, i.e. 26.6 per cent. According to the results, e-learning systems’ usability issues influence the user relationships and affect the user satisfaction, which will lead to lack of user continuity. Practical implications The findings of this review will provide insights to instructional designers to construct more satisfied learning content for the users. The analysis framework of this study will encourage researchers to drive future research in e-learning along with the concern of usability. Originality/value This research emphasizes on the importance of SCI to focus future e-learning research on a different angle, in addition to SSI and SII. The analysis framework of this study will provide different dimensions, specifically for the empirical research in the domain of e-learning.

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.

Management and sustainability dilemmas in Latin America: introduction

2021 ◽  
Vol 34 (1) ◽  
pp. 1-17
Author(s):  
Olivia Hernandez-Pozas ◽  
Maria Jose Murcia ◽  
Enrique Ogliastri ◽  
Miguel R. Olivas-Lujan
Keyword(s):  
Latin America ◽  
Latin American ◽  
Design Methodology ◽  
Future Research ◽  
Content Type ◽  
Literature Reviews ◽  
Editorial Work ◽  
Different Dimensions ◽  
Sustainability Challenges ◽  
Specific Contribution

PurposeThis article introduces readers to the Special Issue (SI, 34-1) of ARLA, edited (not exclusively) with the best papers of the Academy of Management's Specialized Conference, scheduled for April 2020 in Mexico City. The COVID-19 pandemic forced its cancellation, but the expert peer review and editorial work continued, to contribute to the emerging literature on Latin American Management and Sustainability.Design/methodology/approachGuest editors contributed their expertise based on required editorial processes and focused literature reviews on Management and Sustainability.FindingsThere are large management and sustainability challenges to Latin American practitioners and researchers, resulting in an increasingly urgent need to systematically document similarities and differences in the fields of Management and Sustainability. It is so because the region has been affected as few others before, during and after the pandemic. Thus, this issue summarizes the literature, presents eight new studies and offers suggestions for future research.Research limitations/implicationsManagement and sustainability in Latin America are wide subjects, with different dimensions and issues. This is a specific contribution that leaves much ground to be covered in the different subfields of the area, in research methodologies and conclusions.Originality/valueAn agenda for advancing the field of management and sustainability in Latin America, highlighted by the COVID-19 disruption; additionally, eight of the most advanced research in the field are presented, chosen from two tracks of a large number of contributions to a recent specialized conference organized by the Academy of Management.

The roles of emerging multinational companies’ technology-driven FDIs in their learning processes for innovation

2019 ◽  
Vol 14 (1) ◽  
pp. 91-114 ◽  
Author(s):  
Ju Liu
Keyword(s):  
Learning Process ◽  
Explanatory Power ◽  
Analytical Framework ◽  
Multinational Companies ◽  
Learning Processes ◽  
Comparative Case Study ◽  
Future Research ◽  
Global Knowledge ◽  
Content Type ◽  
Capability Building

Purpose The purpose of this paper is to contextually theorise the different patterns of emerging multinational companies’ (EMNCs’) learning processes for innovation and the different influences of their technology-driven FDIs (TFDIs) on the processes. Design/methodology/approach A comparative case study method and process tracing technique are employed to investigate how and why firms’ learning processes for innovation took place, how and why the TFDIs emerged and influenced the firms’ learning processes in different ways. Findings The paper identifies two different patterns of learning process for innovation (Glider model vs Helicopter model) and two different roles of the case firms’ TFDIs (accelerator vs starter) in the different contexts of their learning processes. It is found that the capability building of the domestic wind energy industry has an important influence on the case of EMNCs’ learning processes and thus on the roles of their TFDIs. Research limitations/implications The limitation of the paper lies in its small number of cases in a specific industry of a specific country. The two contextually identified learning models and roles of TFDIs may not be applied to other industries or other countries. Future research should investigate more cases in broader sectoral and geographic scope to test the models and also to identify new models. Practical implications For EMNCs, who wants to use the Helicopter model to rapidly gain production and innovation capability, cross-cultural management and integration management are crucial to practitioners. For emerging countries with ambitions to explore the global knowledge and technology pool, besides of the EMNC’s capability building, the capability building in the domestic industries should not be overlooked by policy makers. Originality/value The paper develops a dynamic and contextual analytical framework which helps to answer the important questions about how and under what context a TFDI emerges and influences firm’s learning process for innovation. It theorises the EMNCs’ learning process and TFDIs in the context of the development of the domestic industry. It strengthens the explanatory power of the learning-based view and adds new knowledge to the current FSA/CSA discourse in the international business literature.

scholarly journals Learner-User Satisfaction Survey in the AdaptWeb Platform using the Learner Choices from Learner-Driven Learning

2020 ◽  
Vol 28 ◽  
pp. 420-435
Author(s):  
Alessandro Da Silveira Dias ◽  
Leandro Krug Wives
Keyword(s):  
User Satisfaction ◽  
Serious Games ◽  
Learning Systems ◽  
Online Course ◽  
Satisfaction Survey ◽  
Learning Paradigm ◽  
Making Choices ◽  
E Learning ◽  
Definition Of ◽  
The Way

In this paper, we review the definition of the learner choices from the Learner-driven Learning paradigm for e-learning systems. After this, we analyze how different categories of e-learning systems enable the user to make these choices, such as Serious Games. We present in detail how AdaptWeb platform makes available these choices to learner users. Additionally, we present a satisfaction survey performed after an online course on AdaptWeb platform. The survey questions were about making choices during learning and about the way AdaptWeb makes the choices available to learner-users. Summarizing the results, students enjoyed being able to make choices about their own learning and felt that this possibility was beneficial to their learning. Moreover, they liked the way AdaptWeb makes the choices available to students. Most of the students found the system easy to use, intuitive, and the student's choices were explicit and easy to take.

A model for assessing blog-based learning systems success

2014 ◽  
Vol 38 (7) ◽  
pp. 969-990 ◽  
Author(s):  
Yi-Shun Wang ◽  
Hsien-Ta Li ◽  
Ci-Rong Li ◽  
Chian Wang
Keyword(s):  
User Satisfaction ◽  
Structural Equation ◽  
Learning Systems ◽  
Learning Performance ◽  
System Quality ◽  
Content Type ◽  
Content Quality ◽  
Success Model ◽  
System Use ◽  
Linkage Quality

Purpose – Based on previous information systems/educational technology success models, the purpose of this paper is to establish a comprehensive, multidimensional model for assessing blog-based learning systems success. Design/methodology/approach – Data collected from 240 blog-based learning systems users in the context of higher education were tested against the model using the structural equation modelling approach. Findings – The results indicate the interrelationships between six system success variables: system quality, content quality, context and linkage quality, user satisfaction, system use, and learning performance. In particular, this study confirms that quality attributes positively affect user satisfaction, which in turn positively influences learning performance directly or indirectly through the mediation of system use. Originality/value – This study is a pioneering effort to develop and validate a blog-based learning systems success model.

Enhancing the management of unstructured data in e-learning systems using MongoDB

2015 ◽  
Vol 49 (1) ◽  
pp. 91-114 ◽  
Author(s):  
Milorad Pantelija Stevic ◽  
Branko Milosavljevic ◽  
Branko Rade Perisic
Keyword(s):  
Service Oriented Architecture ◽  
Structured Data ◽  
Learning Systems ◽  
Unstructured Data ◽  
Development Effort ◽  
Content Type ◽  
Learning Platform ◽  
Service Oriented ◽  
E Learning ◽  
Learning Platforms

Purpose – Current e-learning platforms are based on relational database management systems (RDBMS) and are well suited for handling structured data. However, it is expected from e-learning solutions to efficiently handle unstructured data as well. The purpose of this paper is to show an alternative to current solutions for unstructured data management. Design/methodology/approach – Current repository-based solution for file management was compared to MongoDB architecture according to their functionalities and characteristics. This included several categories: data integrity, hardware acquisition, processing files, availability, handling concurrent users, partition tolerance, disaster recovery, backup policies and scalability. Findings – This paper shows that it is possible to improve e-learning platform capabilities by implementing a hybrid database architecture that incorporates RDBMS for handling structured data and MongoDB database system for handling unstructured data. Research limitations/implications – The study shows an acceptable adoption of MongoDB inside a service-oriented architecture (SOA) for enhancing e-learning solutions. Practical implications – This research enables an efficient file handling not only for e-learning systems, but also for any system where file handling is needed. Originality/value – It is expected that future single/joint e-learning initiatives will need to manage huge amount of files and they will require effective file handling solution. The new architecture solution for file handling is offered in this paper: it is different from current solutions because it is less expensive, more efficient, more flexible and requires less administrative and development effort for building and maintaining.

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.

A Heuristic Methodology for Multi-Criteria Evaluation of Web-Based E-Learning Systems Based on User Satisfaction

2008 ◽  
Vol 8 (24) ◽  
pp. 4603-4609 ◽  
Author(s):  
I. Mahdavi ◽  
H. Fazlollaht ◽  
A. Heidarzade ◽  
N. Mahdavi-Am ◽  
Y.I. Rooshan
Keyword(s):  
User Satisfaction ◽  
Learning Systems ◽  
Web Based ◽  
Multi Criteria Evaluation ◽  
E Learning ◽  
Heuristic Methodology

Balancing territorial identities

2019 ◽  
Vol 36 (5) ◽  
pp. 805-827 ◽  
Author(s):  
Barbara Stöttinger ◽  
Elfriede Penz
Keyword(s):  
Ethnic Minorities ◽  
Design Methodology ◽  
Qualitative Interviews ◽  
Three Dimensions ◽  
Future Research ◽  
Content Type ◽  
Territorial Identity ◽  
Constituent Element ◽  
Different Dimensions ◽  
Globalized World

Purpose In today’s globalized world, countries are becoming increasingly multiethnic. This raises questions about the different dimensions of consumers’ territorial identities, and how these dimensions are differentiated, interrelated and interlinked. The paper aims to discuss these issues. Design/methodology/approach Using qualitative interviews, this paper investigates how (40) respondents from two different ethnic minorities in a country that is not necessarily considered multiethnic perceive these dimensions of territorial identity (ethnic, regional and national) as a constituent element of their own person and of their behavior. Findings The authors highlight that these three dimensions of territorial identity co-exist as independent entities; they are distinct but interrelated and interconnected. Furthermore, idiosyncrasies in the ethnic sub-samples are investigated and described. These are related to the connection to the country of residence (being born there vs having immigrated there). Finally, avenues for future research, such as expanding the concept of territorial identities and its connection to consumer behavior, are suggested. Originality/value The authors extend the bipolarity commonly used in territorial identities (global vs local or ethnic vs national) to three conceptually independent dimensions. The authors explore the relationships between these dimensions of territorial identity and show that they may not conflict but, instead, co-exist.

Co-production strategy, retail competition, and market segmentation

2019 ◽  
Vol 32 (2) ◽  
pp. 607-630 ◽  
Author(s):  
Junbin Wang ◽  
Xiaojun Fan
Keyword(s):  
Market Segmentation ◽  
New Technology ◽  
Empirical Studies ◽  
Analytical Framework ◽  
Future Research ◽  
Retail Competition ◽  
Business World ◽  
Content Type ◽  
Production Strategy ◽  
The Impact

Purpose The purpose of this paper is to examine the effect of manufacturers’ co-production strategy on market segmentation and channel performance under retail competition. Design/methodology/approach It differs from previous empirical studies by primarily focusing on the increment in consumer value accompanying co-production. The authors establish a game-theoretical model to analyze the impact of co-production on market segmentation and the profitability of channel members in a competitive retail environment. Findings The results reveal that manufacturers introducing co-production expand market coverage and benefit all channel members, when the intensity of competition is sufficiently high, especially for retailers with low-quality levels, who are out of the market without co-production. Furthermore, with the increase in customer valuation through co-production, employing a co-production strategy is always a dominant strategy for manufacturers. Research limitations/implications First, although the authors assume a monopoly manufacturer and two duopoly retailers, adding competition between manufacturers should enrich the model. Multiple products with vertical or horizontal differentiation could also be introduced into the model. Second, the authors use the multiplicative utility function to model the value co-creation effect on consumers; however, different utility functions may yield significantly different results and implications. Third, the authors model a one-shot game in a single product selling period; future studies may employ multi-period games to obtain further insight into co-production strategy. Finally, the model assumes that all consumers are homogenous in the extent of value creation and hassle cost. Future research may find it interesting to consider heterogeneity in these characteristics. Practical implications The business world today already sees the power of leadership in a supply chain to have shifted from manufacturers to retail giants such as Walmart, Home Depot and Best Buy. The findings also propose a new route to counteract the emergence and rise of dominant retailers. On the other hand, with the application of new technology in the retail industry such as 3D avatar, AR/VR, Internet of Things, consumers are more likely to participate in various forms of co-production activities, how to execute the co-production strategy has become more and more important for managers. Social implications The conclusion of this study points out the way to achieve a win–win outcome under which both channel members including manufacturer and retailers and consumers can be better off, that is, the channel can reach Pareto improvement, so the social welfare is increased accordingly. Originality/value The authors propose an analytical framework to examine the effects of co-production and competition on market segmentation and profitability, and prove that co-production is a powerful marketing tool that can attract consumers and increase profitability, which manufacturers can incorporate into their products even in a competitive environment.

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