A group-decision approach for evaluating educational web sites

[[abstract]]With the advent of network technologies, many educational web sites have been developed to assist students in the learning of subjects on computer networks. However, without proper aid, students may have difficulty in selecting appropriate web sites, that are of benefit to them; hence, studying, evaluating and recommending educational web sites has become an important and challenging issue. In this paper, a group-decision approach is proposed for evaluating educational web sites. Several soft computing technologies have been employed in the approach, including fuzzy theory, grey system and group decision method. A computer-assisted web site evaluation system, EWSE (Educational Web Site Evaluator), has been developed, based on an experimental approach, which is capable of selecting the proper criteria for an individual web site and achieves greater accuracy when evaluating results. (C) 2003 Elsevier Ltd. All rights reserved.[[note]]SSC

Building a personalized, auto-calibrating eye tracker from user interactions

2015-2016 > Academic research: refereed > Refereed conference paperAccepted ManuscriptPublishe

Fuzzy association rule mining with type-2 membership functions

[[abstract]]In this paper, a fuzzy association rule mining approach with type-2 membership functions is proposed for dealing with data uncertainty. It first transfers quantitative values in transactions into type-2 fuzzy values. Then, according to a predefined split number of points, they are reduced to type-1 fuzzy values. At last, the fuzzy association rules are derived by using these fuzzy values. Experiments on a simulated dataset were made to show the effectiveness of the proposed approach.[[notice]]補正完

Big data analytics: does organizational factor matters impact technology acceptance?

Abstract Ever since the emergence of big data concept, researchers have started applying the concept to various fields and tried to assess the level of acceptance of it with renown models like technology acceptance model (TAM) and it variations. In this regard, this paper tries to look at the factors that associated with the usage of big data analytics, by synchronizing TAM with organizational learning capabilities (OLC) framework. These models are applied on the construct, intended usage of big data and also the mediation effect of the OLC constructs is assessed. The data for the study is collected from the students pertaining to information technology disciplines at University of Liverpool, online programme. Though, invitation to participate e-mails are sent to 1035 students, only 359 members responded back with filled questionnaires. This study uses structural equation modelling and multivariate regression using ordinary least squares estimation to test the proposed hypotheses using the latest statistical software R. It is proved from the analysis that compared to other models, model 4 (which is constructed by using the constructs of OLC and TAM frameworks) is able to explain 44% variation in the usage pattern of big data. In addition to this, the mediation test performed revealed that the interaction between OLC dimensions and TAM dimensions on intended usage of big data has no mediation effect. Thus, this work provided inputs to the research community to look into the relation between the constructs of OLC framework and the selection of big data technology