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      Enhancing Career Decision Status of Socioeconomically Disadvantaged Students Through Learning Engagement: Perspective of SOR Model

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          Abstract

          Higher education plays the role of cultivating talents in national development and meets the talent sources needed by the development of the state, industries and enterprises. Besides, for students, higher education can provide stimuli to improve the development of family and personal career. Especially for socioeconomically disadvantaged Students, higher education means the main factor for turning over the Socio- Economic Status. Universities endow students with abundant employment skills, so as to make them more confident in contending with the challenges in the job market. However, innate pessimism or negative attitudes and cognition may exist in socioeconomically disadvantaged Students, thereby providing effective learning context to improve their learning engagement. This study explores the influence on students’ career decision status from deep approach to learning, problem-based learning, self-efficacy and employability. A total of 627 valid questionnaires are collected in this study. PLS-SEM was adopted to verify the structural relationship in data analysis via SmartPLS. The results indicate that deep approach to learning and problem-based learning have significant impacts on students’ self-efficacy and employability; self-efficacy has significant impacts on employability and career decision status; employability has significant impact on career decision status; and that self-efficacy and employability play significant mediating roles in the research framework.

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          Using Effect Size-or Why the P Value Is Not Enough.

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            ON QUALITATIVE DIFFERENCES IN LEARNING: I-OUTCOME AND PROCESS*

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              Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: a systematic review and meta-analysis

              Objective To better inform efforts to treat and control the current outbreak with a comprehensive characterization of COVID-19. Methods We searched PubMed, EMBASE, Web of Science, and CNKI (Chinese Database) for studies published as of March 2, 2020, and we searched references of identified articles. Studies were reviewed for methodological quality. A random-effects model was used to pool results. Heterogeneity was assessed using I2 . Publication bias was assessed using Egger's test. Results 43 studies involving 3600 patients were included. Among COVID-19 patients, fever (83.3% [95% CI 78.4–87.7]), cough (60.3% [54.2–66.3]), and fatigue (38.0% [29.8–46.5]) were the most common clinical symptoms. The most common laboratory abnormalities were elevated C-reactive protein (68.6% [58.2–78.2]), decreased lymphocyte count (57.4% [44.8–69.5]) and increased lactate dehydrogenase (51.6% [31.4–71.6]). Ground-glass opacities (80.0% [67.3–90.4]) and bilateral pneumonia (73.2% [63.4–82.1]) were the most frequently reported findings on computed tomography. The overall estimated proportion of severe cases and case-fatality rate (CFR) was 25.6% (17.4–34.9) and 3.6% (1.1–7.2), respectively. CFR and laboratory abnormalities were higher in severe cases, patients from Wuhan, and older patients, but CFR did not differ by gender. Conclusions The majority of COVID-19 cases are symptomatic with a moderate CFR. Patients living in Wuhan, older patients, and those with medical comorbidities tend to have more severe clinical symptoms and higher CFR.
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                Author and article information

                Contributors
                Journal
                Front Psychol
                Front Psychol
                Front. Psychol.
                Frontiers in Psychology
                Frontiers Media S.A.
                1664-1078
                15 September 2022
                2022
                : 13
                : 778928
                Affiliations
                [1] 1School of Economics and Trade, Fujian Jiangxia University , Fuzhou, China
                [2] 2Business School, Foshan University , Foshan, China
                [3] 3College of Teacher Education, Yuxi Normal University , Yuxi, China
                Author notes

                Edited by: Fotini Polychroni, National and Kapodistrian University of Athens, Greece

                Reviewed by: Sara Santilli, University of Padua, Italy; Jesus Yeves, Diego Portales University, Chile

                *Correspondence: Xiaoyao Yue, sandyyuexiaoyao@ 123456gmail.com

                This article was submitted to Educational Psychology, a section of the journal Frontiers in Psychology

                Article
                10.3389/fpsyg.2022.778928
                9520782
                36186399
                e3b4bcb3-e9db-454b-b46e-536d00040649
                Copyright © 2022 Peng and Yue.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 17 September 2021
                : 06 June 2022
                Page count
                Figures: 2, Tables: 3, Equations: 0, References: 109, Pages: 14, Words: 12085
                Categories
                Psychology
                Original Research

                Clinical Psychology & Psychiatry
                career decision status,deep approach to learning,employability,problem-based learning,self-efficacy,socioeconomically disadvantaged undergraduate

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