Forthcoming articles


International Journal of Knowledge and Learning


These articles have been peer-reviewed and accepted for publication in IJKL, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of Knowledge and Learning (7 papers in press)


Regular Issues


  • ViewpointS: capturing formal data and informal contributions into an adaptive knowledge graph   Order a copy of this article
    by Philippe Lemoisson, Guillaume Surroca, Clement Jonquet, Stefano A. Cerri 
    Abstract: Formal data is supported by means of specific languages from which the syntax and semantics have to be mastered, which represents an obstacle for collective intelligence. In contrast, informal knowledge relies on weak/ambiguous contributions e.g., I like. Reconciling the two forms of knowledge is a big challenge. We propose a brain-inspired knowledge representation approach called ViewpointS where formal data and informal contributions are merged into an adaptive knowledge graph which is then topologically, rather than logically, explored and assessed. We firstly illustrate within a mock-up simulation, where the hypothesis of knowledge emerging from preference dissemination is positively tested. Then we use a real-life web dataset (MovieLens) that mixes formal data about movies with user ratings. Our results show that ViewpointS is a relevant, generic and powerful innovative approach to capture and reconcile formal and informal knowledge and enable collective intelligence.
    Keywords: knowledge representation; knowledge graph; semantic Web; social Web; collective intelligence; nature-inspired computational model; formal/informal knowledge; serendipitous learning.

  • Modelling Wisdom in Learning and Decision Making   Order a copy of this article
    by Muhammad Asim Qayyum 
    Abstract: There is a growing interest in understanding application of wisdom but abstract and intangible personal factors make it difficult to design and achieve practical learning of wisdom. The purpose of this research is to identify the key concepts of wisdom and their relationships to create a learning and decision making model, or a Wise Action Model (WAM) for organizational knowledge workers. A review of relevant models, theories, and related literatures from various disciplines was undertaken, which identified prior knowledge and its comprehension and understanding as the significant concepts of wisdom. The resulting WAM conceptual framework defines relationships between these key concepts and the impacting factors, such as, motivations, reliance on embedded cues and signs in the environment, and the values (especially the moral values) needed to recognize and remember project stakeholders. This studys contribution is significant as wisdom needs more attention in the knowledge management literature and findings of this study are expected to influence the theory and practices in this field.
    Keywords: knowledge management; wisdom; prior knowledge; Learning wisdom; wise decision making; wise actions.

  • Text-based sentiment analysis: review   Order a copy of this article
    by V.P. Lijo, Hari Seetha 
    Abstract: The impact of the social networks-based sentiment analysis (SA) and opinion mining has increased in recent times. Decision-makers consider the opinions of the thought leaders and laymen, and plenty of opinions are available in social networks. When a user wants to get a service or buy a product he or she will check for the reviews and opinions provided by other people about various offerings. Opinion rich data sources are available in digital form; this attracts many researchers to focus research on SA. The 'sentiments' available in social networks and review pages are highly valuable for industries and individuals who want to closely monitor their reputation and live feedback about their services and products. This paper presents a review covering techniques, tools, data resources and applications in the area of text-based SA.
    Keywords: sentiment analysis; SA; feature selection; text mining; semantic orientation; SO; text classification; opinion mining; lexicon.
    DOI: 10.1504/IJKL.2017.10009108
  • An ontology-driven software product line architecture for developing gamified intelligent tutoring systems   Order a copy of this article
    by Diego Dermeval, Glauber Leite, João Almeida, Josmário Albuquerque, Ig I. Bittencourt, Sean W.M. Siqueira, Seiji Isotani, Alan Pedro Da Silva 
    Abstract: Intelligent tutoring systems (ITSs) are effective to provide instruction for students in several situations. Many works have been using gamification by adding game elements to learning contexts aiming to engage students and to drive desired learning behaviours. However, the design of gamified ITS should deal with a huge variability. Software product lines (SPLs) promise to offer rapid product development and more affordable development costs to build software from the same family. A key factor to successfully implement a product-line approach is to structure commonalities and variabilities into a product line architecture (PLA). In this paper, we propose a PLA for developing gamified ITSs that uses an ontology-driven feature modelling strategy. We illustrate how our architecture could be applied to instantiate a product on the basic math domain. We also discuss a set of implications of using it as well as how it could support the evolution/changing of gamified ITSs.
    Keywords: ITSs; intelligent tutoring systems; gamification; gamified intelligent tutoring systems; SPL; software product line; ontologies.
    DOI: 10.1504/IJKL.2017.10009129
  • Using board games to improve mathematical creativity   Order a copy of this article
    by Jungkyu Park, Kwangho Lee 
    Abstract: Our study examined whether playing board games improved elementary students' mathematical creativity and, if it did, how board games should be used effectively in the elementary classroom. To accomplish this aim, we invited three fifth-grade classes to participate in our study, two classes serving as experimental groups and one class as a control group. One experimental group was a teacher-led group and the other a free-play group. After the four weeks, the creativity of the board game participants improved significantly as demonstrated through t-test, comparing the pretest and the post test. The free-play group students' flexibility, one of the components of creativity, improved significantly (p = 0.022). We also found that for students who received lower scores in mathematical creativity in the pretest, teachers need to intervene in the activities; however, for the higher-ranked students, opportunities should be given to play without interventions to enhance creativity.
    Keywords: mathematical creativity; board game; teacher-led group; free-play group.
    DOI: 10.1504/IJKL.2017.10009130
  • Improving knowledge sharing, creation, and innovation performance in nanotechnology firms: an application of the hybrid model of Kano and QFD   Order a copy of this article
    by Azam Sazvar, Mahmood Yahyazadehfar, Hassanali Aghajani 
    Abstract: Despite previous studies that consider the sharing and creation of knowledge as a prerequisite for innovation, we believe that in companies with high technologies such as nanotechnology, these three variables are in an interactive line and improvement of the scope of each variable will result in the improvement of the scope of other two ones. For this reason, after designing the questionnaire based on the literature and determining the sample size, finally, 134 questionnaires were collected from the activists of nanotechnology companies in Tehran, which constituted the final sample of the study. As a contribution to the present research, in-depth interviews of quality function deployment (QFD) model were conducted with seven managers of the study companies, who had agreed to participate in the study. Finally, 10 strategies including development of venture capital firms, introducing benefits of nanotechnology to society, adoption of the laws of intellectual property, and tax exemption were introduced for nanotechnology companies.
    Keywords: knowledge sharing; knowledge creation; innovation performance; nanotechnology companies; QFD model.
    DOI: 10.1504/IJKL.2017.10009131
  • Impact of organisational practices on knowledge sharing: an empirical study   Order a copy of this article
    by Omran Alshamsi, Mian M. Ajmal, Mehmood Khan 
    Abstract: The primary motive behind this study is to enhance understanding of the relationship between organisational practices and knowledge sharing among employees. A quantitative approach is used to examine the relationship between organisational practices and knowledge sharing among the employees in an organisation. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were used to assess the impact of organisational practices on knowledge sharing by selecting an appropriate conceptual model that fits the study premise and results in better findings. The outcome of this research clarifies that organisational practices, such as collaboration, learning cultures, and management support, significantly impact knowledge sharing among employees at the workplace. This study can improve an organisation's understanding of the internal culture enhancement in regard to organisational practices, collaboration, management support, and learning cultures, affect knowledge sharing among employees. Moreover, this study can help an organisation create effective strategies to develop knowledge sharing mechanisms in their organisations.
    Keywords: knowledge sharing; organisational practices; collaboration; management support; learning culture.
    DOI: 10.1504/IJKL.2017.10009133