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Journal of Computer Assisted Learning ; 2023.
Article in English | Scopus | ID: covidwho-2245109


Background: Considerable evidence suggests that students' achievement emotions are important contributors to their learning and success online. It is, therefore, essential to understand and support students' emotional experiences to enhance online education, especially under the COVID-19 context. However, to date, very few studies have investigated how students' achievement emotions might be affected by teaching and learning factors in online learning environments. Objectives: Based on Pekrun's (2006) control-value theory of achievement emotions, this study examined the influence of students' perceived online teaching quality and appraisals of control and value on their achievement emotions in an online second language (L2) learning context instigated by the COVID-19. Methods: Data were collected using an online survey of 1503 undergraduates from ten universities across different regions of China. Confirmatory factor analyses (CFA) were performed to test the validity of the instruments and structural equation modelling were conducted to examine the relations between L2 teaching and learning variables. Results and Conclusions: Results revealed that perceived teacher internet and communication technology competence had positive effects on enjoyment, but negative effects on anxiety and boredom, and these effects were fully mediated by perceived control and/or value. Perceived chaotic teaching structure (CTS) had reverse effects for the three emotions. Perceived CTS effects on enjoyment and anxiety were fully and partially mediated by perceived control, respectively. Takeaways: Online teaching quality is critical for students' appraisals and emotions towards L2 learning. Teachers should strive to improve online teaching quality and design interventions targeting students' perceived control and value to temper their affective experiences associated with the crisis-prompted online teaching practices. © 2023 The Authors. Journal of Computer Assisted Learning published by John Wiley & Sons Ltd.

Acta Medica Mediterranea ; 38(1):585-595, 2022.
Article in English | Scopus | ID: covidwho-1699165


Objective: This study mainly to explore the effect of comprehensive treatment in Hangzhou (China) on cognitive function of attention network in patients with nasopharyngeal carcinoma. Methods: Patients with locally advanced nasopharyngeal carcinoma who were initially diagnosed as the pre-treatment group were collected as the pre-treatment group in Hangzhou (China), and the patients who were reexamined within more than half a year after treatment were the post-treatment group. All patients received behavioral tests of attention network cognitive function. The processing efficiency of three sub-networks (executive control network, alertness system and orientation network) of cognitive function of patients' attention network was compared horizontally. Results: After treatment, the score and ratio of processing efficiency of executive control network in the group after treatment were significantly lower than those in the group before treatment, while the scores and score ratios of alertness system and oriented network processing efficiency did not change significantly. Conclusion: After treatment, the processing efficiency of the alert system and orientation network of NPC patients did not change significantly in Hangzhou (China), but the processing efficiency of the executive control network was improved. Conclusion: We determined that the pneumococcal vaccine, which is mainly administered in family medicine centers, has a positive effect on the course of COVID-19, and adult immunization should be given importance in every period. © 2022 A. CARBONE Editore. All rights reserved.

15th International Conference on Learning and Intelligent Optimization, LION 15 2021 ; 12931 LNCS:211-218, 2021.
Article in English | Scopus | ID: covidwho-1606012


In this paper, we discuss the medical staff scheduling problem in the Mobile Cabin Hospital (MCH) during the pandemic outbreaks. We investigate the working contents and patterns of the medical staff in the MCH of Wuhan during the outbreak of Covid-19. Two types of medical staff are considered in the paper, i.e., physicians and nurses. Besides, two different types of physicians are considered, i.e., the expert physician and general physician, and the duties vary among different types of physicians. The objective of the studied problem is to get the minimized number of medical staff required to accomplish all the duties in the MCH during the planning horizon. To solve the studied problem, a general Variable Neighborhood Search (general VNS) is proposed, involving the initialization, the correction strategy, the neighborhood structure, the shaking procedure, the local search procedure, and the move or not procedure. The mutation operation is adopted in the shaking procedure to make sure the diversity of the solution and three neighborhood structure operations are applied in the local search procedure to improve the quality of the solution. © 2021, Springer Nature Switzerland AG.