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"Digital electronics Research Periodicals"
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Artificial Intelligence in Education: AIEd for Personalised Learning Pathways
Artificial intelligence is the driving force of change focusing on the needs and demands of the student. The research explores Artificial Intelligence in Education (AIEd) for building personalised learning systems for students. The research investigates and proposes a framework for AIEd: social networking sites and chatbots, expert systems for education, intelligent mentors and agents, machine learning, personalised educational systems and virtual educational environments. These technologies help educators to develop and introduce personalised approaches to master new knowledge and develop professional competencies. The research presents a case study of AIEd implementation in education. The scholars conducted the experiment in educational establishments using artificial intelligence in the curriculum. The scholars surveyed 184 second-year students of the Institute of Pedagogy and Psychology at the Abay Kazakh National Pedagogical University and the Kuban State Technological University to collect the data. The scholars considered the collective group discussions regarding the application of artificial intelligence in education to improve the effectiveness of learning. The research identified key advantages to creating personalised learning pathways such as access to training in 24/7 mode, training in virtual contexts, adaptation of educational content to personal needs of students, real-time and regular feedback, improvements in the educational process and mental stimulations. The proposed education paradigm reflects the increasing role of artificial intelligence in socio-economic life, the social and ethical concerns artificial intelligence may pose to humanity and its role in the digitalisation of education. The current article may be used as a theoretical framework for many educational institutions planning to exploit the capabilities of artificial intelligence in their adaptation to personalized learning.
Journal Article
An exploratory study on the publication stages of early access articles in different bibliographic databases: A case study of IEEE journals
Currently bibliographic databases have included a large number of Early Access (EA) articles. Taking 47 IEEE journals as examples, this study analyzed and compared the differences in publication stages of EA articles in three typical bibliographic databases, including Web of Science Core Collection, Scopus, and Engineering Village Compendex. Qualitative analysis of data sets that may appear in these three databases and their publication stage modes, and quantitative analysis on the number of records, proportion, and journal distributions of each data set and each publication stage mode were conducted. There were totally 7 sub-data sets and corresponding 26 publication stage modes, with 14 “undifferentiated publication stage modes” and 12 “differentiated publication stage modes”. Although the proportion of EA records from each “differentiated publication stage mode” was mostly below 1.0%, the absolute quantity of EA records with differences in the publication stage was noteworthy reaching 2516. Among the 47 journals, 23 journals have 7–8 publication stage modes, 1 journal having 18 modes, and 40 journals have one or more “differentiated publication stage modes”. Therefore, in IEEE journals, whether for the same EA article or the same journal, the difference in publication stage between these three databases was pervasive and complex.
Journal Article
Implementing open educational resources in digital education
The outbreak of COVID-19 leads to an increasing demand for online educational resources to continue teaching and learning. Open educational resources (OER), with the benefits of cost-saving and open licenses, have great potential in facilitating the rapid transition to digital education, but concerns about whether OER decrease the effectiveness of student learning remains unsolved. Hilton’s review article (2016) provides synthesized evidence stating that OER can help decrease college students’ textbook spending without undermining student learning effectiveness. It is also noteworthy that implementing OER in digital education needs additional considerations beyond the efficacy of OER. Therefore, this special issue article extends Hilton’s (2016) synthesized findings by presenting four additional perspectives in research, design, culture, practice about implementing OER in digital education.
Journal Article
A study of non-users of digital libraries: the case of the Capes digital library in Brazil
Purpose
The purpose of this paper is to understand the reasons that hinder the use of digital libraries.
Design/methodology/approach
This study analyzed data obtained through a web survey sent to 14,763 faculty members in Brazilian universities. Of the 6,689 respondents, 1,075 (16.1%) reported not using the Capes digital library and 1,017 answered the questionnaire for non-users.
Findings
Results showed that the main reasons for non-use are lack of knowledge of the existence of the Capes digital library, use of other resources, preference for printed journals and difficulty of access. Eight factors of non-use were elicited: insufficient dissemination, inadequacies in contents, in infrastructure, in access policy, in training and in the interface, personal constraints and personal attitude. The reasons and factors for non-use were categorized as intrinsic and extrinsic to the digital library. Intrinsic reasons relate to characteristics of the Capes digital library. Extrinsic factors are influenced by user characteristics. The chi-square test demonstrated that the variables: area of knowledge, age, hours dedicated to research and computer skills influence non-use.
Originality/value
This study has contributed to research about non-users of digital libraries, differing from previous research by surveying a large-scale population and by investigating in a single work the reasons for non-use, other electronic sources used by non-users, advantages of using the digital library and intention of non-users to become users if barriers were removed. Qualitative data complemented the quantitative data collected which allowed a more complete picture of the respondent’s positions.
Journal Article
The association between fear of missing out and mobile phone addiction: a meta-analysis
Background
Numerous studies have explored the association between fear of missing out and mobile phone addiction, but there are different viewpoints and the results are inconsistent. This study intends to estimate the strength of the correlation between fear of missing out and mobile phone addiction in general through a meta-analysis, and to analyze the influencing factors of the inconsistent results of previous studies.
Methods
We Searched China National Knowledge Infrastructure Database, Wan fang Database, CQVIP Journal Database、Web of Science Core Collection, Elsevier SD, Springer Online Journals, Medline, EBSCO-ERIC, SAGE Online Journals, PsycINFO, PsycArticles and ProQuest Dissertations and Theses。85 studies (90 independent effect size) were included from 2016 to 2023。The pooled correlation coefficient of the association between fear of missing out and mobile phone addiction was calculated by a random effects model using Comprehensive Meta-Analysis(Version 3.3).
Results
The main effect analysis revealed a high positive correlation between fear of missing out and mobile phone addiction (
r
= 0.47, 95%CI [0.44, 0.50]). Furthermore, the measurements of mobile phone addiction moderated the strength of the association between fear of missing out and mobile phone addiction, with the highest correlation measured using MPATS and the lowest correlation measured using MPDQ. The age, gender, year of publication, cultural background, and the measurements of fear of missing out had no significant effect on the correlation between fear of missing out and mobile phone addiction.
Conclusion
The results indicated that fear of missing out was closely related to mobile phone addiction, which complied with the I-PACE model. Psychological services and mental health services should be developed to reduce the emergence of fear of missing out in the digital age and thus alleviate dependence on devices.
Journal Article
A randomized assessment of the impact of ‘Those Nerdy Girls’ newsletters on adult vaccination outcomes
Adult vaccine-preventable infectious diseases contribute substantial burden each year, and vaccine uptake remains suboptimal. As digital health communication grows, digital newsletters may represent a scalable, low-cost tool to promote vaccination. We conducted a randomized prospective study to evaluate the impact of digital newsletters on subscribers’ knowledge, attitudes, and behaviors regarding four adult vaccines: respiratory syncytial virus (RSV), influenza, shingles, and COVID-19. Between November 2023 and January 2024, half of subscribers to the Those Nerdy Girls (TNG) Substack newsletter received additional vaccine-focused newsletters, while the other half received only the standard twice-weekly newsletters. Pre- and post-intervention online surveys assessed vaccine knowledge, attitudes, and behaviors among adult subscribers who consented to participate. Across 1,327 pre-intervention and 1,208 post-intervention participants, knowledge gains were observed for RSV and shingles vaccines in the intervention group compared with controls, while knowledge of influenza and COVID-19 vaccines did not improve. Attitudes toward vaccination were generally positive at baseline and showed no significant intervention effects across vaccine types. Likelihood of vaccination increased for influenza, COVID-19, and RSV overall during the study period, but only influenza vaccination showed a significantly greater increase in the intervention group relative to controls. No significant effects were found for shingles vaccination. These results indicated that digital newsletters can improve knowledge and, in some contexts, support uptake, but knowledge gains did not consistently translate into changes in attitudes or behaviors. Findings highlighted the limitations of knowledge-deficit models for adult vaccination promotion. Digital newsletters should be considered as one component of broader public health strategies, particularly when paired with approaches that address logistical access, trust, and social norms.
Journal Article
Examining predictors of digital library use: an application of the information system success model
Purpose
Digital libraries are not only an assortment of information assets yet have turned into a digital community for correspondence, searching and electronic learning. Also, economically the investment in terms of money, time, energy and manpower associated with the development of effective digital library (DL) systems demands high utilization of these resources. This study aims to explore the factors that affect the utilization of digital libraries and may lead to users’ satisfaction and finally high exposure to information systems like digital libraries. However, these factors may work differently in different cultures. Considering this fact, DeLone and McLean’s IS success model (ISSM) is tested and expanded in a local academic context.
Design/methodology/approach
Following the quantitative research design, a total of 355 responses were collected through a questionnaire-based survey. Research scholars of the University of Punjab, Lahore, Pakistan were the reviewed population of this study. A two-stage stratified random sampling method was used to choose the sample. Structural equation modelling is used to find out the nature and extent of the relationship among studied variables.
Findings
The findings confirm that service quality is the strong predictor of DL system use, whereas overall users’ satisfaction mediates the relationship between the predictors (content and service quality) and the outcome variable (use).
Originality/value
This work done is the first main endeavour to use the “Information System Success” theories to intervene and mediate the effect of content, IQ, system quality and service quality on the use of DL in the local context.
Journal Article
Use analysis of the digital library of PhD dissertations defended at the University of Novi Sad
Purpose
The purpose of this paper is to determine the digital library usage patterns as a means of improving the system, as well as the user experience, to give appropriate recognition to the most popular dissertations’ authors and to measure the interest of non-academic users for dissertations defended at the University of Novi Sad (UNS).
Design/methodology/approach
A logging module of the digital library of theses and dissertations of University of Novi Sad (PHD UNS) application has been implemented. The module recorded the messages relating to the search queries and downloads over a three-year period from 2017–2019. These logs are analysed using the Elasticsearch, Logstash and Kibana (ELK) technology stack and the results are shown using graphs and tables.
Findings
The analysis determined the perfect time for weekly maintenance of the system, defined a recommendation for improving the system and revealed the most popular dissertations. A significant number of downloads and queries originated from citizens, i.e. users outside the academic community.
Practical implications
The conducted analysis defined recommendations for the system improvement which can be used by PHD UNS research and development (R&D) team and revealed the most popular dissertations which are used for the promotion of its authors through faculties’ websites.
Originality/value
To the best of the authors’ knowledge, this is the first study of ELK based log analysis of a Serbian language documents’ repository. Besides, the value of results for the PHD UNS R&D team and UNS rector team, the study proves that PhD digital library presents an important Open Science communication channel for presenting scientific results to the citizens.
Journal Article