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      The Mining Method of Ideological and Political Elements in University Public Mental Health Courses Based on Artificial Intelligence Technology

      research-article
      1 , , 1 , 2
      Journal of Environmental and Public Health
      Hindawi

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          Abstract

          Artificial intelligence technology has become an important part of the development of Internet technology. Artificial intelligence technology can help colleges and universities optimize the network ideological and political teaching system. Artificial intelligence technology provides more accurate data resources and rich and reliable educational technology means for online public mental health education in colleges and universities. This paper comprehensively uses a variety of methods such as qualitative and quantitative analysis, case and empirical analysis, literature analysis, and artificial intelligence technology. Artificial intelligence technology has been closely integrated with online public mental health education in colleges and universities. The model systematically analyzes the optimization methods of artificial intelligence technology methods for the online public mental health education system in colleges and universities, and constructs an innovation system for online public mental health education in colleges and universities. Based on the comprehensive analysis of artificial intelligence and public health in colleges and universities, this paper further proposes the application of artificial intelligence technology in online public mental health education in colleges and universities. On this basis, the model conducts an in-depth analysis of artificial intelligence technology and the online public mental health innovation system. The model supports the development of ideological and political teaching in colleges and universities through various forms such as idea innovation, path innovation, carrier innovation, and mechanism innovation.

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          Virtual reality in Metaverse for future mental health-helping profession: an alternative solution to the mental health challenges of the COVID-19 pandemic

          Abstract Currently, Metaverse has become a hot topic of conversation everywhere. Therefore, this can also be an accurate solution to the mental health challenges of the COVID-19 pandemic. Hopefully in the future, mental health workers can make the best use of it.
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            Development of the School Mental Health Self-Efficacy Teacher Survey Using Rasch Analysis

            Given the important role that teachers play in supporting student mental health, it is critical teachers feel confident in their ability to fill such roles. To inform strategies intended to improve teacher confidence in supporting student mental health, a psychometrically sound tool assessing teacher school mental health self-efficacy is needed. The current article details the initial development and psychometric functioning of the school mental health self-efficacy teacher survey (SMH-SETS). A component of the development included Rasch analysis of pilot data to provide a psychometric appraisal of the SMH-SETS functioning and initial psychometric evidence. Results suggest the SMH-SETS exhibits strong psychometric properties and can be used to measure school mental health self-efficacy, track self-efficacy over time, and inform training and professional development.
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              Tourist Mental Health Drives Destination Choice, Marketing, and Matching

              Leisure tourism, including destination choice, can be viewed as an investment in mental health maintenance. Destination marketing measures can thus be analyzed as mental health investment prospectuses, aiming to match tourist desires. A mental health framework is particularly relevant for parks and nature tourism destinations, since the benefits of nature for mental health are strongly established. We test it for one globally iconic destination, using a large-scale qualitative approach, both before and during the COVID-19 pandemic. Tourists’ perceptions and choices contain strong mental health and well-being components, derived largely from autonomous information sources, and differing depending on origins. Parks agencies emphasize factual cognitive aspects, but tourism enterprises and destination marketing organizations use affective approaches appealing to tourists’ mental health.
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                Author and article information

                Contributors
                Journal
                J Environ Public Health
                J Environ Public Health
                jeph
                Journal of Environmental and Public Health
                Hindawi
                1687-9805
                1687-9813
                2022
                31 August 2022
                : 2022
                : 2829974
                Affiliations
                1Student Affairs Office, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei 066000, China
                2College of Physical Education and Health, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei 066000, China
                Author notes

                Academic Editor: Zhiguo Qu

                Author information
                https://orcid.org/0000-0003-3344-3660
                Article
                10.1155/2022/2829974
                9451957
                36089948
                49667c61-803a-4792-bdeb-9e2472b01df0
                Copyright © 2022 Fangfang Li et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 18 July 2022
                : 8 August 2022
                : 13 August 2022
                Categories
                Research Article

                Public health
                Public health

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