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The Monetary Theory course at Dubai Men's College used a very traditional knowledge transfer model of learning. The purpose of this paper is to describe a change to a student centered, social constructivist framework to try to increase student engagement and obtain deeper levels of learning by using Web 2.0 tools to encourage students to form a learning community and find, discuss, annotate and debate some of their own learning resources among the community.

This was approached as a case study that examines the pedagogical arguments for introducing social and collaborative learning and then examines the success and challenges of implementing these in the course. It is a very small scale piece of action research aimed at improving student success and teaching practice.

Although the research is a very limited, small scale, applied action research paper, it does show that the learners were very positive about the possibilities of social bookmarking and collaborative learning and were happy to move away from a knowledge transfer model.

Although there is an abundance of literature on the benefits of social and collaborative learning and the formation of learning communities, there is very little literature available on the specific use of Diigo in social bookmarking or of Ning, especially with students who are learning in a second language environment. Overall, there is very limited literature about United Arab Emirates Nationals as learners and how best to help them be successful. This paper gives a small insight into the successes of one transformational class.

In a pandemic framework (COVID-19), this chapter explores the impact of the global economy and socio-cultures concerning three axes: recreational, tourism, and hospitality. Although we slowly see an economic revival, it is well known that this sector of study is very susceptible to being affected by the context of nations. Following restrictions and measures taken by governments around the world to reduce the number of cases of coronavirus infections, many nations closed their borders, affecting international travel and by 2020 tourism had been reduced to the near cessation of operations due to the imminent fear of this poorly studied disease, and the service sector was negatively affected. It should be added that, according to the World Tourism Organization's projections, a decrease of between 20 and 30% is forecast for 2020 compared to the previous year.

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.

This study aims to analyze the platforming scenario at a Brazilian university as well as the data security process for students and professors.

This research brings an analysis through a qualitative approach of the platformization process in a Brazilian teaching institution.

The results point to a lack of knowledge on the part of teachers regarding data security in the platforming scenario, as well as the lack of effectiveness of institutions in protecting student data.

Within the Brazilian scenario, this research seeks to contribute to the discussion on platformization in view of the gaps and existing demands on this process in the country.

The purpose of this paper is to apply systems modeling to explore the usability of the online learning platform in the future compared to its usefulness during the pandemic era.

The applied systems research methodology has been used to develop a stock-flow model encompassing enablers and constraints for learning platform usage from the primary data collected through a survey of 163 respondents.

The model simulation observed promising trends over one year for online learning platforms provided the challenges are reduced in seven to eight months. Challenges linked to the Internet and interaction need must be removed for future usage.

The results of the survey and model simulation suggest actions for product planning and development of online learning platforms based on customer insights. Product customization and feature enhancement will be required for the continued usability of online learning products. Actions for Internet service providers are to capture the online learner market by removing issues of Internet access bandwidth, and quality of content. Also, there should be sufficient teacher–student interaction in the online learning mode.

This is an original study using systems modeling to evaluate factors contributing to students' intention to use online learning conducted at Dayalbagh Educational Institute (Deemed to be University) Dayalbagh Agra, UP, India, 282005.

In order to ensure effectiveness of staff's performance using online meetings applications during coronavirus disease (COVID-19), having the behavioural intention is mandatory for staff to measure, test, and manage the staff's data. Understanding of Public Higher Education Institution (PHEI) staffs' intention and behaviour toward online meetings platforms is needed to develop and implement effective and efficient strategies. The objectives of this paper to identify the factors that affect staff to use online meetings applications, to develop a model that examining the factors that affect PHEI staff to online meetings applications and to validate the proposed model. This study used a cross-sectional quantitative correlational study with using UTAUT2 model by validating the model and mediating variables to enhance the model's explanatory power and to make the model more applicable to PHEI staff's behavioural intention.

The data were collected in Malaysia from March to May 2021. The survey took place using Google form and was send to PHEI staff for answer. This research particularly chooses PHEI as the location to carry out the research due to two main factors. Statistical analysis and hypotheses were tested using structural equation modelling based on the optimisation technique of partial least squares. SmartPLS software, Version 3.0 (Hair et al., 2010) was used to conduct the analysis. A conceptualised estimation model was “drawn in” the partial least squares structural equation modeling (PLS-SEM) to analyse the consequences of the variables' relationships. In essence, the PLS-SEM simulation was carried out in a model by assessing and computing various parameters that included elements like validity, durability, and item loading. Henseler et al. (2009) suggested a two-step method that includes PLS model parameter computing. This is accomplished by first solving the estimation model in the structural model independently before calculating the direction coefficients. The results of data analysis using SmartPLS findings and interpretation of the data are addressed. The questionnaire was extensively examined to ensure that the data obtained were presented in a clear and intelligible manner, with the use of figures, and graphs.

This current study found that the usability of the material, the reliability of operating, the impact of the PHEI staff's views on its usage, and finally the familiarity with the online meetings platforms influenced PHEI staff's behavioural intention for adoption and long-term use of online meeting platforms using UTAUT2. The staff's behavioural intention for using online meeting platforms was significantly influenced by the effort expectancy, facilitating conditions and habit of online meeting platforms. There was a clear association between “Habit” and “Behavioural Intention” for the usage of information technology in learning in several studies (El-Masri and Tarhini, 2017; Uur and Turan, 2018; Mosunmola et al., 2018; Venkatesh et al., 2003). As a consequence of the utility of online meeting platforms in daily staff meetings and learning activities, this technology has been adopted.

This study used UTAUT2 and structural equations modelling in this study to assess respondents' perspectives on the use of online meetings platforms in PHEI, since users' perspective is a significant factor in the adoption and acceptance of online meeting applications. Staff's behavioural intention to use online meeting platforms was effectively enhanced by “Effort Expectancy,” “Facilitating Conditions” and “Habit” in this study. The study shows that identifying PHEI staff's perspectives will effectively increase the staff's aversion to utilising online meeting platforms for online meetings purposes.