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1.
Horizons Series A ; 30:125-138, 2022.
Article in English | Academic Search Complete | ID: covidwho-2204774

ABSTRACT

Since spring 2020 when pandemic suddenly threatened the world in unexpected way, a dramatic shift in how people live, work, and learn/study is evident. Global pandemic restriction strategies like stay-at-home orders, social distancing and long periods of lockdowns have disrupted the traditional campus-based model of education i.e. the traditional in-classroom teaching, and have forced fast adoption of online learning systems as remote/distance learning. For most counties/universities worldwide, online learning was one of the efforts to minimize the spread of Covid-19 and convenient opportunity of continuing the educational process in those circumstances. This was the case in the country as well. In this sense, the goal of this paper is to analyze the adoption of online learning among university students in the country. The basis for the research model is the original Technology Acceptance Model (TAM). This fundamental model examines the crucial predictors/factors of technology adoption including the following constructs: perceived ease of use, perceived usefulness, attitude towards using, behavioral intention and actual use. In order to get insightsregarding the online learning adoption among university students in the country, a survey was conducted among more than 150 undergraduates during April and May 2022, while online learning was still undergoing. The results of this study capture valuable insights regarding the adoption of online learning and can be used as solid base for higher education institutions in the country to shape their online education offerings in order to remain competitive in a post-pandemic future. This research provides relevant practical implications by elaborating that the analyzed factors are critical towards online learning attitude in our country. [ FROM AUTHOR]

2.
Sustainability ; 14(15):9617, 2022.
Article in English | ProQuest Central | ID: covidwho-1994191

ABSTRACT

(Contribution 4) have focused on the assessment of the ecological integrity of national forests in the western U.S. The method proposed and developed by the authors was aimed at the assessments of riparian and groundwater-dependent ecosystems and has proved suitable to inform future forest and project planning for the restoration and maintenance of structure, function, composition, and connectivity. The study has allowed the definition of regeneration policies promoting the replacement of dead olive groves with more resistant olive trees as a strategy to stimulate social components of the landscape and improve the resilience of ecosystem services in peri-urban areas in the interest of the cultural heritage of the users and benefits that they provide, including tourism. The definition of different zones of the protected area has been based on the multicriteria analysis of landscape features and patterns, environmental quality, traditional agriculture, and architectural heritage, allowing the researchers to combine promotion of quality of natural assets and the protection of historical rural values threatened by the abandonment of remote areas. Addas and Maghrabi (Contribution 9) have studied the spatial patterns of urban green spaces in a Saudi Arabian context, mapping them using geographic information systems and investigating the perceived role of green areas from a social, environmental, and recreational point of view. Besides their crucial role in local climate regulation, the findings highlighted that accessibility, design, management, and safety that proved to be limiting factors in meeting the expected satisfaction level of the inhabitants, thus providing useful inputs to assist planners and policy makers in implementing the greening strategies at neighbourhood and city levels for urban environmental sustainability.

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