Search results

This paper engages Olaf Zawacki-Richter and Insung Jung in a frank and penetrating conversation that seeks to ground, frame, and problematise research in the field conceptualised as “open, distance and digital education” (ODDE). Taking as starting point the recent publication of the landmark Handbook of Open, Distance, and Digital Education (2022), it segues into a broad critique of the shortcomings of ODDE research, the importance of knowledge production on the meso- and macro-levels, the autonomy of ODDE as a field coming into its own, the place of postfoundationalism in ODDE discourse, and related topics that are pivotal in ODDE today.

The semi-structured interview was employed as the primary qualitative research method.

The research imperative of the relatively young but complex field of ODDE today is not the incessant reiteration of the same but rather a strategic reorientation that, first, circumvents the well-documented yet too-often-overlooked shortcomings of ODDE research and, second, promotes transboundary collaborations with the potential for system-wide impact.

This novel interview-based critique of ODDE research demonstrates that extending the scholarly discourse beyond the conventional report format is a productive method for enriching conversations on ODDE and vitalising the field itself.

Online collaboration allows the learners to exchange ideas and views beyond time and space constraints and can improve the richness and quality of learning experiences. It promotes co-construction of knowledge, offers authentic learning contexts, and also enables learners to become more cognitively and affectively engaged. However, there is also evidence that online collaboration presents psychological difficulties or stress for learners. Even though a certain level of stress can stimulate a learner's physical and mental functions and enhance learning performance, it is generally agreed that persistent or excessive stress leads to negative beliefs, and results in poor learning performance. This paper will explore instructional design strategies that help learners mitigate stress in an online collaborative learning environment in the Asian context, based on the results of a study that identified important factors influencing learners' stress in online collaboration where English was used as a medium of communication. Four stress factors in English-based online collaboration in a high context culture in Asia are: Self-efficacy, instructional design, technology use, and collaborative process. Instructional strategies to promote self-efficacy, especially language self-efficacy, match Asian learners' learning styles to online collaboration, reduce fear of using online technologies in interactions, and scaffold and facilitate collaborative process will be offered in the paper. The paper will highlight the importance of considering both individual features of learners and socio-cultural aspects of learning environments in instructional design.

This study aims to investigate the trend of research on universities and accountability (UAA) in Southeast Asian (SEA) countries.

A total of 115 journal articles, conference papers, books and book chapters were obtained from the Scopus database spanning the years 1996–2023. These documents were subsequently analyzed using bibliometric methods.

The majority of UAA in SEA documents were published between 2007 and 2023 (106 documents, 92.19%). Scholars from both SEA countries and outside the region, particularly Australia, co-authored UAA in SEA documents. While scholars from Vietnam contributed the highest number of UAA in SEA publications (30 documents), scholars from Australia received the highest number of citations (878 citations). Collaboration between Vietnam and Australia emerged as the most productive partnership in conducting studies on UAA in SEA. Additionally, UAA in SEA documents were published not only in education-related outlets but also in other sectors, particularly in public policy. Furthermore, studies on UAA in different countries exhibited both similar and dissimilar interest keywords.

This study represents the first bibliometric analysis focusing on UAA in SEA literature. The insights and implications derived from this study are valuable for future researchers, university leaders and policymakers.

The purpose of this study is to propose a sustainable quality assessment approach (model) for the e-learning systems keeping software perspective under consideration. E-learning is becoming mainstream due to its accessibility, state-of-the-art learning, training ease and cost effectiveness. However, the poor quality of e-learning systems is one of the major causes of several failures reported. Moreover, this arena lacks well-defined quality assessment measures. Hence, it is quite difficult to measure the overall quality of an e-learning system effectively.

A pragmatic mixed-model philosophy was adopted for this study. A systematic literature review was performed to identify existing e-learning quality models and frameworks. Semi-structured interviews were conducted with e-learning experts following empirical investigations to identify the crucial quality characteristics of e-learning systems. Various statistical tests like principal component analysis, logistic regression, chi-square and analysis of means were applied to analyze the empirical data. These led to an adequate set of quality indicators that can be used by higher education institutions to assure the quality of e-learning systems.

A sustainable quality assessment model for the information delivery in e-learning systems in software perspective has been proposed by exploring the state-of-the-art quality assessment/evaluation models and frameworks proposed for the e-learning systems. The proposed model can be used to assess and improve the process of information discovery and delivery of e-learning.

The results obtained led to conclude that very limited attention is given to the quality of e-learning tools despite the importance of quality and its effect on e-learning system adoption and promotion. Moreover, the identified models and frameworks do not adequately address quality of e-learning systems from a software perspective.