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Test anxiety (TA) is a common emotion among students during examinations. Test‐induced stress can remarkably impact students' emotions and limit their performance. Mental stress is a crucial factor that could significantly alter gut microbial composition, but rare reports focus on the correlation between TA and oral microbial composition. This study aims to investigate the impact of TA on students' oral microbiota composition. This study targeted medical students who usually face heavier workloads than average undergraduates. 28 females and 19 males aged 18–30 were enrolled in this study. Questionnaires and saliva samples were collected from the participants before, during, and after the end‐term examination. The level of anxiety was classified as normal, mild, moderate, and severe based on the questionnaire scores. In addition, 16S amplicon sequencing was used to analyse the composition of oral microbes. More than half of the students faced different levels of TA before and after the examination. Over three‐quarters of students showed anxiety during the examination, and a quarter suffered severe TA. The 16S sequencing data showed that TA significantly altered the oral microbial composition between students with and without TA in all three survey periods. Moreover, during the examination, the genera Rothia and Streptococcus, the oral‐beneficial bacteria, markedly decreased in students with TA. On the other hand, the potential pathogenic genera, such as Prevotella, Fusobacterium, and Haemophilus, significantly increased in the students with TA. And the TA effect on oral microbes displayed a gender difference among students. A high ratio of TA existed in the students during their examination period, and TA could significantly alter the oral microbial composition, decrease beneficial microbes, and promote potential pathogenic oral microbes.
Test anxiety (TA) is a common emotion among students during examinations. Test‐induced stress can remarkably impact students' emotions and limit their performance. Mental stress is a crucial factor that could significantly alter gut microbial composition, but rare reports focus on the correlation between TA and oral microbial composition. This study aims to investigate the impact of TA on students' oral microbiota composition. This study targeted medical students who usually face heavier workloads than average undergraduates. 28 females and 19 males aged 18–30 were enrolled in this study. Questionnaires and saliva samples were collected from the participants before, during, and after the end‐term examination. The level of anxiety was classified as normal, mild, moderate, and severe based on the questionnaire scores. In addition, 16S amplicon sequencing was used to analyse the composition of oral microbes. More than half of the students faced different levels of TA before and after the examination. Over three‐quarters of students showed anxiety during the examination, and a quarter suffered severe TA. The 16S sequencing data showed that TA significantly altered the oral microbial composition between students with and without TA in all three survey periods. Moreover, during the examination, the genera Rothia and Streptococcus, the oral‐beneficial bacteria, markedly decreased in students with TA. On the other hand, the potential pathogenic genera, such as Prevotella, Fusobacterium, and Haemophilus, significantly increased in the students with TA. And the TA effect on oral microbes displayed a gender difference among students. A high ratio of TA existed in the students during their examination period, and TA could significantly alter the oral microbial composition, decrease beneficial microbes, and promote potential pathogenic oral microbes.
Presently, numerous universities in Saudi Arabia have embraced online learning following the experience gained during the COVID-19 pandemic. While several studies have assessed the quality of online learning and student satisfaction during that period, limited research has explored students’ satisfaction post-pandemic control despite several universities planning to offer some courses online. Investigating student satisfaction post-pandemic is crucial for predicting the quality of online learning and assisting universities in enhancing the outcomes of online learning. Consequently, this study aims to examine student satisfaction with online learning by proposing a model derived from the updated Information System Success Model. The updated model factors include system quality, service quality, and information quality, supplemented by student–student interaction quality and self-directed learning. Data were collected from a sample of 150 undergraduates at King Saud University in the second semester of the 2023–2024 academic year. The research model was validated using the PLS approach. The findings indicated that only self-directed learning significantly affects students’ satisfaction with online learning. This study contributes theoretically by expanding the existing literature and enhancing the understanding of the factors that drive student satisfaction. Moreover, it provides practical contributions to decision-makers and educators developing online learning strategies focusing on enhancing self-directed learning abilities.
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