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10.3233/WOR-203358

http://scihub22266oqcxt.onion/10.3233/WOR-203358
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33459679!ä!33459679

suck abstract from ncbi


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pmid33459679      Work 2021 ; 68 (1): 45-67
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  • Identifying factors that influenced wellbeing and learning effectiveness during the sudden transition into eLearning due to the COVID-19 lockdown #MMPMID33459679
  • Naddeo A; Califano R; Fiorillo I
  • Work 2021[]; 68 (1): 45-67 PMID33459679show ga
  • BACKGROUND: The sanitary emergency due to COVID-19 virus obliged people to face up several changes in their everyday life becauseWorld Health Organisation (WHO) guidelines and countries' Health Systems imposed lockdown of activities and social distancing to flatten the infection curve. One of these rapid changes involved students and professors that had to turn the traditional "in presence" classes into online courses facing several problems for educational delivery. OBJECTIVES: This work aimed to investigate the factors that affected both teaching/learning effectiveness and general human comfort and wellbeing after the sudden transition from classrooms to eLearning platforms due to COVID-19 in Italy. METHODS: A workshop, involving students and experts of Human Factors and Ergonomics, has been performed to identify aspects/factors that could influence online learning. Then, from workshop output and literature studies, a survey composed of two questionnaires (one for students and one for teachers) has been developed and spread out among Italian universities students and professors. RESULTS: 700 people answered the questionnaires. Data have been analysed and discussed to define the most important changes due to the new eLearning approach. Absence of interactions with colleagues and the necessity to use several devices were some of the aspects coming out from questionnaires. CONCLUSIONS: The study shows an overview of factors influencing both teaching/learning effectiveness and general human comfort and wellbeing. Results could be considered as a basis for future investigation and optimization about the dependencies and correlations among identified factors and the characteristics of the products/interaction/environment during eLearning courses.
  • |Adolescent[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |COVID-19/prevention & control/transmission[MESH]
  • |Child Health/*standards/statistics & numerical data[MESH]
  • |Education, Distance/methods/*standards/statistics & numerical data[MESH]
  • |Female[MESH]
  • |Humans[MESH]
  • |Italy[MESH]
  • |Male[MESH]
  • |Middle Aged[MESH]
  • |Quarantine/methods/*trends[MESH]
  • |Students/psychology/*statistics & numerical data[MESH]
  • |Surveys and Questionnaires[MESH]
  • |Transfer, Psychology/*physiology[MESH]


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