Is online distance learning compatible with student lifestyle?:assessment of program content, workload and long-time usefulness

Abstract Online distance learning (ODL) is gaining rapid acceptance in the educational system, and the level of student enrollment is massive nowadays. Although the adoption of online distance learning seems to be influencing students learning experience, the aspect of compatibility with the student lifestyle remains unclear and needs further research. This study employed a quantitative methodology to describe the relationship between the chosen independent and dependent variables adapted from the existing literature objectively and used structural equation modelling with SmartPLS for the data analysis. This study contributes to the literature on online distance learning and information systems. It gives a comprehensive understanding of how program content positively relates to online academic workload and how the long-time usefulness of online distance learning relates to the workload of online distance learning for the ODL students’ lifestyle. This insight shows the importance of program content as a determinant of workload. It also shows how the memory of the long-time usefulness aids the workload of the ODL. The study explains the theoretical contributions, implications and suggests future research

A review of thematic growth of International Journal of Education and Development using ICT

Abstract The growth in education, research, and development in developing economies cannot be compared with their developed counterparts. Information and Communication Technologies (ICTs), which have played a key role in nations’ socio-economic development, can leverage developing economies. The International Journal of Education and Development using Information and Communication Technology (IJEDICT) emerged to promote research and development using ICT in developing nations. The emergence has, over the years, churned out significant scientific publications. This review intends to commemorate the late IJEDICT founding editor and investigate the contribution of academic papers published in the journal to develop education using ICT in developing countries and the thematic growth of the publication forum. The paper presents a bibliometric content analysis of 692 studies published in IJEDICT from inception, 2005 until January 2021. Findings from this review suggest useful implications for researchers, ICT managers, institutions, policymakers, and nations

The composition of data economy:a bibliometric approach and TCCM framework of conceptual, intellectual and social structure

Abstract Purpose: The data economy mainly relies on the surveillance capitalism business model, enabling companies to monetize their data. The surveillance allows for transforming private human experiences into behavioral data that can be harnessed in the marketing sphere. This study aims to focus on investigating the domain of data economy with the methodological lens of quantitative bibliometric analysis of published literature. Design/methodology/approach: The bibliometric analysis seeks to unravel trends and timelines for the emergence of the data economy, its conceptualization, scientific progression and thematic synergy that could predict the future of the field. A total of 591 data between 2008 and June 2021 were used in the analysis with the Biblioshiny app on the web interfaced and VOSviewer version 1.6.16 to analyze data from Web of Science and Scopus. Findings: This study combined findable, accessible, interoperable and reusable (FAIR) data and data economy and contributed to the literature on big data, information discovery and delivery by shedding light on the conceptual, intellectual and social structure of data economy and demonstrating data relevance as a key strategic asset for companies and academia now and in the future. Research limitations/implications: Findings from this study provide a steppingstone for researchers who may engage in further empirical and longitudinal studies by employing, for example, a quantitative and systematic review approach. In addition, future research could expand the scope of this study beyond FAIR data and data economy to examine aspects such as theories and show a plausible explanation of several phenomena in the emerging field. Practical implications: The researchers can use the results of this study as a steppingstone for further empirical and longitudinal studies. Originality/value: This study confirmed the relevance of data to society and revealed some gaps to be undertaken for the future

Investigating students’ perception towards the use of social media for computing education in Nigeria

Abstract This study examined the use of a social media platform — WhatsApp — by computer science students for learning computing education in the context of a Nigerian education institution. Nowadays, a large community of students in higher education institutions has embraced the WhatsApp platform for social interactions which makes it a useful tool in education. In this study, students formed three closed groups, and each group had a specific computing topic they discussed. Their discussions were in the form of posting questions, providing answers to questions, or expressing knowledge on the group topic. A questionnaire was used to collect data from the participants regarding their experiences. We conducted a descriptive analysis of the students’ learning outcomes. The results show that the use of social media contributes positively to students’ learning achievement, and they are motivated to acquire more knowledge about different computing topics

Social media usage for computing education:the effect of tie strength and group communication on perceived learning outcome

Abstract Social media has become an important platform where users share, comment, discuss, communicate, interact, and play games. Aside from using social media for personal, social, and business purposes, the use of social media has gained attention, particularly for collaborative learning in the educational sector. This paper examines the role of social media in computing education based on the use of WhatsApp social media group. Additionally, the study explores how social media usage by students influences their perceived learning outcomes. Given these aims, the study formulated four research hypotheses and tested using Partial Least Square Structural Equation Modelling. With the participants of three hundred and thirteen (n=313) students, the study found a positive relationship between social media usage for computing education and perceived learning outcomes. In addition, the study found a linear relationship between communication ingroup and perceived learning outcomes. Finally, the study revealed that social media positively relates to tie strength, and that tie strength influences in-group communication