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The purpose of this study was to present a pilot electronic portfolio (e-portfolio)-integrated learning environment by integrating library resources into an e-portfolio system for its application, and to explore reader’s satisfaction of the integrated system.

This study develops a research model by modifying the information success model to explore reader satisfaction to the understanding of the adoption of integrated system. The sample consisted of 289 graduate and undergraduate students. In total, 189 were considered useful and used for analysis. A regression analysis was then conducted to identify key causal relationships.

The findings show that reader-perceived benefits, information quality and system quality are critical factors for the reader’s satisfaction. Overall, the model explained 84 per cent of the variance in reader satisfaction. Thus, the results show that the proposed model does satisfactorily explain the reader’s satisfaction of the integrated system.

There is scant research available in the literature on user satisfaction of pilot e-portfolio-integrated learning environment from a reader perspective. The findings of this research provide some useful insights into a reader’s satisfaction toward adoption of the integrated system. In addition, it will be valuable for better understanding of factors affecting the determinants of reader’s satisfaction, which improve the reader’s satisfaction of the integrated system and thereby boost realization of collaborative learning environment.

This bibliography was originally compiled for the purpose of a Doctoral degree submitted to Loughborough University of Technology in March 1993. The information in this bibliography, which was started in the last quarter of 1989, was continuously updated by collecting data from all the important current journals and abstracting and indexing sources. It covers all of hypertext, including HyperCard and other hypertext/hypermedia systems which are being used for teaching and training. These systems are also used for conducting research in this field. Full efforts were made to cover all the publications such as periodical articles, conference papers/Proceedings, books and reports that were published until the first quarter of 1993.

The paper aims to explore whether topic analysis (identification of the core contents, trends and topic distribution in the target field) can be performed using a more low-cost and easily applicable method that relies on a small dataset, and how we can obtain this small dataset based on the features of the publications.

The paper proposes a topic analysis method based on prolific and authoritative researchers (PARs). First, the authors identify PARs in a specific discipline by considering the number of publications and citations of authors. Based on the research publications of PARs (small dataset), the authors then construct a keyword co-occurrence network and perform a topic analysis. Finally, the authors compare the method with the traditional method.

The authors found that using a small dataset (only 6.47% of the complete dataset in our experiment) for topic analysis yields relatively high-quality and reliable results. The comparison analysis reveals that the proposed method is quite similar to the results of traditional large dataset analysis in terms of publication time distribution, research areas, core keywords and keyword network density.

Expert opinions are needed in determining the parameters of PARs identification algorithm. The proposed method may neglect the publications of junior researchers and its biases should be discussed.

This paper gives a practical way on how to implement disciplinary analysis based on a small dataset, and how to identify this dataset by proposing a PARs-based topic analysis method. The proposed method presents a useful view of the data based on PARs that can produce results comparable to traditional method, and thus will improve the effectiveness and cost of interdisciplinary topic analysis.

This paper proposes a PARs-based topic analysis method and verifies that topic analysis can be performed using a small dataset.

The purpose of this paper is to introduce an affective computing-based method of identifying sleeping beauties and their princes in five educational technology journals.

This study develops an information technology-based methodology to analyze sleeping beauties in the field of educational technology. The authors seek to determine the characteristics of studies which trigger the awakening of sleeping beauties (called “princes”). The keywords and Hirsch index (H-index) are used as two essential analysis indicators.

Between 2000 and 2015, these five journals included 7,864 articles with a total of 77,700 citations and 24,312 keywords. This study identified articles as being in deep sleep (75.7 percent), less deep sleep (14.7 percent), and awakening (5.5 percent) states. According to the analytical results, 431 of 7,864 articles are qualified as “sleeping beauties.” Of the 431 sleeping beauties identified, 232 articles were awakened by trend princes, while 286 were awakened by H-index princes. A total of 128 sleeping beauties were awakened by both prince types. Besides, impact factors (IFs) of journals do not have a significant effect on the number of sleeping articles.

There are two main research limitations in this study. The first one is the amount of target journals. Only five well-known educational technology journals are analyzed in this research. There may be more valuable sleeping publications in other journals not been found. The second limitation is that the authors merely pick up the lead author of citing papers as the indicator to determine the H-index prince. The contributions of the rest of authors are not taken are not taken into consideration. These limitations should be further studied.

To the knowledge, this study is the first one reporting the identification of sleeping beauty and princes in educational technology field. Furthermore, the authors devise an informational method to determine sleeping publications, sleeping beauty, and princes. A systematic analysis of five well-known journals in the field of educational technology field confirms the existence of “sleeping beauties.” It is reported that improvements to a journal’s IF are positively correlated to increased numbers of sleeping beauties being awakened. To reduce the number of such articles, or to reduce the overall sleeping duration, journal editors should not only seek to raise the journal’s IF, but also strategically select keywords for maximum visibility, and promote articles to high H-index authors.

The purpose of this paper is to provide a scientometric and content analysis of the studies in the field of e‐learning that were published in five Social Science Citation Index (SSCI) journals (Journal of Computer Assisted Learning, Computers & Education, British Journal of Educational Technology, Innovations in Education and Teaching International and Educational Technology Research and Development) and two conferences (Educational Multimedia, Hypermedia & Telecommunications and IEEE International Conference on Advanced Learning Technologies) from 2003 to 2008 to realize hidden research trends using an internally built visualization tool.

The 7,759 original papers gathered from five journals and two conferences were further classified in 14 main research areas based on 150 concepts clusters. The internally built visualization tool, which is primarily based on animated bubble chart and pie chart, facilitated the task of analyzing the trends of contributions in the field over the years.

Different research areas that are evolving or diminishing across the globe, most discussed research areas, most prolific researchers, leading institutions and nations. In addition to that these trends have also been analyzed across journals and conferences.

The results in this study will allow novice and experienced educators, researchers, policy makers in the field of e‐learning to study what kind of different research areas exist and to identify different research trends over the last six years.

This paper presents the findings based on a survey conducted to examine the status and extent of the use of computer‐based technology (CBT) to support “quality”, including such aspects as quality control, quality assurance and quality management, in Hong Kong. Five main categories of CBTs, namely decision support systems (DSSs), group support systems (GSSs), executive information systems (EISs), expert systems (ESs) and artificial neural networks (ANNs), in support of quality are surveyed. The survey findings indicate that CBT usage to support quality in Hong Kong is low, particularly ESs and ANNs. This is partly due to a lack of awareness regarding the potential of CBTs in supporting quality among their potential users, and partly because of a lack of availability of suitable software to support their use. This paper represents a first attempt to examine the real‐life use of CBTs in support of quality. Based on the research findings, we have identified several opportunities for further research and suggested a number of research directions for CBTs to support “quality”in practice.

This paper describes an architecture for the usage of Instructional Design (ID) knowledge in intelligent instructional systems. In contrast with other architectures, ontologies are used to represent ID knowledge about both what to teach and how to teach. Moreover, set‐theoretic reasoning is used for the provision of inferential services. In particular, the paper shows how set‐theoretic deductions can be applied (i) to support the modelling of ID knowledge bases, (ii) to retrieve suitable teaching methods from them, and (iii) to detect errors in a training design. The intelligent knowledge management environment CONCEPTOOL is used to demonstrate the benefits of the proposed architecture.

New requirements for the design of interactive systems call for a human‐centred approach. Learner‐centred design has been considered as the equivalent of human (or user) centred design as it applies to the design and development of elearning systems and applications. E‐Learning is gaining momentum and the respective interest in design methods and practices for such systems is continuously increasing. Nevertheless it is not clear how learner‐centred design can be implemented in practice; questions, such as what are the processes included in learner‐centred design, what kind of activities should take place, how can existing human‐centred design methodologies be combined with instructional design methods and techniques, remain unanswered. This paper stresses the need for an effective integration between usability ‐ the ultimate goal for every human‐centred design effort ‐ and instructional design concepts, techniques and practices. It presents a case study where authors’ activities to design a web‐based training curriculum are described. Problems and challenges of applying human‐centred design and instructional design methods and techniques are discussed along with future research dimensions.

The purpose of this study was a longitudinal study on knowledge organization (KO) realm structure and cluster concepts and emerging KO events based on co-occurrence analysis.

This longitudinal study uses the co-occurrence analysis. This research population includes keywords of articles indexed in the Web of Science Core Collection 1975–1999 and 2000–2018. Hierarchical clustering, multidimensional scaling and co-occurrence analysis were used to conduct the present research. SPSS, UCINET, VOSviewer and NetDraw were used to analyze and visualize data.

The “Information Technology” in 1975–1999 and the “Information Literacy” in 2000–2018, with the highest frequency, were identified as the most widely used keywords of KO in the world. In the first period, the cluster “Knowledge Management” had the highest centrality, the cluster “Strategic Planning” had the highest density in 2000–2018 and the cluster “Information Retrieval” had the highest centrality and density. The two-dimensional map of KO’s thematic and clustering of KO topics by cluster analysis method indicates that in the periods examined in this study, thematic clusters had much overlap in terms of concept and content.

The present article uses a longitudinal study to examine the KO’s publications in the past half-century. This paper also uses hierarchical clustering and multidimensional scaling methods. Studying the concepts and thematic trends in KO can impact organizing information as the core of libraries, museums and archives. Also, it can scheme information organizing and promote knowledge management. Because the results obtained from this article can help KO policymakers determine and design the roadmap, research planning, and micro and macro budgeting processes.

This paper aims to provide a methodological road for the next generation of e‐learning environments.

This paper considers a survey of recent publications (1995‐2002), which aim to provide practical and theoretical indications and advice, which are coupled with practical experimentations.

The paper provides road‐mapping elements, indicating the impact on services and systems to be expected by this design approach.

The survey is based on a selection of sources and it is not exhaustive. The methodology experiments that are used for argumentation are based on the authors’ platform.

The paper presents a useful source of knowledge for researchers and advanced students.

This paper identifies a road for advanced e‐learning systems, and can help researchers and those in industry who desire to introduce and understand the design methodological context of advanced e‐learning systems.