A comparative evaluation of patient's satisfaction and quality of life and masticatory efficiency with conventional complete denture, single and double implant retained mandibular overdenture using a surface electromyography- An in vivo study

Raveena Makker
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引用次数: 1

Abstract

Context: Due to emergence of COVID-19 pandemic, educational institutions were ordered to be closed to protect students from viral exposure. The mode of teaching had to be shifted from face-to-face to digital learning to complete the prescribed syllabi in a stipulated time period. Aim: This study aimed to assess the attitude and perception of undergraduate dental students towards computer-mediated teaching during COVID-19 pandemic. Settings and Design: After obtaining informed consent, a questionnaire study was conducted online using Google Forms among undergraduate students of dental colleges in Central India. Methods and Material: A standard pre-tested questionnaire in English was used, which consisted of 3 parts. The first part recorded demographic data, second part evaluated learning and third part assessed the attitude of the students to computer-mediated learning. Statistical analysis used: 1045 students participated in the study. Learning and Attitude Score was calculated and mean score was compared between groups using ANOVA. Results: Most of the students (above 80%) believed the modern education is inconceivable without computer technology. However, only about 30% believed that such teaching can substitute traditional way of learning. Those with advanced skills in computers reported to have better experience with computer-mediated learning (p<0.05). 
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应用体表肌电图对常规全口义齿、单种植体和双种植体下颌覆盖义齿患者的满意度、生活质量和咀嚼效率进行比较评价
背景:由于新冠肺炎大流行的出现,教育机构被下令关闭,以保护学生免受病毒感染。教学模式必须从面对面学习转变为数字化学习,以便在规定的时间内完成规定的教学大纲。目的:了解新冠肺炎大流行期间牙科本科学生对计算机辅助教学的态度和认知。设置与设计:在获得知情同意后,使用谷歌表格对印度中部牙科学院的本科生进行在线问卷调查。方法与材料:采用标准的英文预测问卷,由3部分组成。第一部分记录人口统计数据,第二部分评估学习情况,第三部分评估学生对计算机辅助学习的态度。统计分析采用:1045名学生参与研究。计算学习与态度得分,并采用方差分析比较组间均分。结果:大多数学生(80%以上)认为现代教育离不开计算机技术。然而,只有30%的人认为这种教学方式可以替代传统的学习方式。据报道,那些具有高级计算机技能的人在计算机媒介学习方面有更好的体验(p<0.05)。
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