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Augmented reality (AR) is an advanced version of the dynamic physical space that is perceived and received via visual, audio, digital and other sensory stimuli. The capabilities of virtual technologies change the field of university and education considerably. The necessity of using virtual technologies in the education field was revealed more in unforeseen disasters such as the COVID-19 pandemic. The adoption of a technology by its users is an important factor in the successful implementation of the technology. The present study evaluates several factors affecting the adoption of AR technology in the realm of tertiary education.

This study is applied in nature, and the necessary data were gathered through a survey questionnaire. The opinions of 621 students were investigated using a simple random sampling method. The multinomial logit test was used in this research.

It was found that individual and social factors such as age, education level, major and economic characteristics such as one’s income in a month, expenses of a person in a month, the level of access to high-speed internet and access to a laptop or smartphone are effective in AR technology adoption in the field of academic education.

The theoretical contribution of this study is to identify the key factors that influence the adoption of AR technology and develop a model specifically applicable to the educational field. The results of this research can be used by university managers and educational policymakers for the efficient and effective use of this technology.

A composting project was introduced into an undergraduate microbiology course, to evaluate its efficacy against traditional lecturing for teaching environmental sustainability.

The research project was a semester-long intervention. Three groups of students participated in the study: a group of 47 female undergraduate students were involved in a composting project, a group of 43 female students were exposed to a traditional lecture and a group of 34 students were the control group. A pretest and a posttest were used, along with poster presentations for the composting project students. In addition, a questionnaire was used to examine students' attitudes toward composting and their waste management practices.

The project and lecture groups showed significant increases in average test-scores, with the post-project increase (20.9 points) being higher than the post-lecture increase (12.3 points). The questionnaire revealed that nonorganic waste recycling was practiced irregularly, while food waste was reused as livestock feed by 38% of the students. Composting was not common, but 23% of the students in the project group started household composting during the project. The students who were most satisfied with the project outcomes were willing to spend higher prices for a composting box (p = 0.036), showing a high correlation between awareness raising and environmental sustainability practices.

The project-based learning approach had more impact than the traditional lecture in teaching environmental sustainability to the students. The project succeeded in improving students' composting knowledge and increased their interest in continuing the composting practices at home.

The study is the first attempt to measure the direct impact of composting education on Emirati students' knowledge of, and interest in environmental sustainable practices, vis-à-vis composting.

Digital twin (DT) is an emerging technology that enables sophisticated interaction between physical objects and their virtual replicas. Although DT has recently gained significant attraction in both industry and academia, there is no systematic understanding of DT from its development history to its different concepts and applications in disparate disciplines. The majority of DT literature focuses on the conceptual development of DT frameworks for a specific implementation area. Hence, this paper provides a state-of-the-art review of DT history, different definitions and models, and six types of key enabling technologies. The review also provides a comprehensive survey of DT applications from two perspectives: (1) applications in four product-lifecycle phases, i.e. product design, manufacturing, operation and maintenance, and recycling and (2) applications in four categorized engineering fields, including aerospace engineering, tunneling and underground engineering, wind engineering and Internet of things (IoT) applications. DT frameworks, characteristic components, key technologies and specific applications are extracted for each DT category in this paper. A comprehensive survey of the DT references reveals the following findings: (1) The majority of existing DT models only involve one-way data transfer from physical entities to virtual models and (2) There is a lack of consideration of the environmental coupling, which results in the inaccurate representation of the virtual components in existing DT models. Thus, this paper highlights the role of environmental factor in DT enabling technologies and in categorized engineering applications. In addition, the review discusses the key challenges and provides future work for constructing DTs of complex engineering systems.