Dataset Information

Impact of female students' perceptions on behavioral intention to use video conferencing tools in COVID-19: Data of Vietnam.

ABSTRACT: This paper presents the dataset of a survey on Vietnamese female students' behavioral intention to use video conferencing tools (VCTs; e.g. Zoom, Microsoft Teams or Google Hangout) in COVID-19 pandemic. The questionnaire was designed based on the Technology Acceptance Model according to the result of research conducted by [1] and [2]. The survey was conducted on an online platform using the questionnaire of 21 items to collect the information of respondents' characteristics and their perception on computer self-efficacy, computer playfulness, COVID-19 context, behavioral intention to Use VCTs. The dataset contains 254 valid responses from female students who have been in distance learning in Vietnam. It can serve as a reference source for future studies on educational equity and for policy making on distance education.

SUBMITTER: Bui TH

PROVIDER: S-EPMC7405901 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Impact of female students' perceptions on behavioral intention to use video conferencing tools in COVID-19: Data of Vietnam.

Bui The-Hop TH Luong Dinh-Hai DH Nguyen Xuan-An XA Nguyen Hong-Lien HL Ngo Thanh-Thuy TT

Data in brief 20200805

This paper presents the dataset of a survey on Vietnamese female students' behavioral intention to use video conferencing tools (VCTs; e.g. Zoom, Microsoft Teams or Google Hangout) in COVID-19 pandemic. The questionnaire was designed based on the Technology Acceptance Model according to the result of research conducted by [1] and [2]. The survey was conducted on an online platform using the questionnaire of 21 items to collect the information of respondents' characteristics and their perception ...[more]

PMID: 32835039

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Project description:BackgroundArtificial intelligence (AI) chatbots are poised to have a profound impact on medical education. Medical students, as early adopters of technology and future health care providers, play a crucial role in shaping the future of health care. However, little is known about the utilization of, perceptions on, and intention to use AI chatbots among medical students in China.ObjectiveThis study aims to explore the utilization of, perceptions on, and intention to use generative AI chatbots among medical students in China, using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. By conducting a national cross-sectional survey, we sought to identify the key determinants that influence medical students' acceptance of AI chatbots, thereby providing a basis for enhancing their integration into medical education. Understanding these factors is crucial for educators, policy makers, and technology developers to design and implement effective AI-driven educational tools that align with the needs and expectations of future health care professionals.MethodsA web-based electronic survey questionnaire was developed and distributed via social media to medical students across the country. The UTAUT was used as a theoretical framework to design the questionnaire and analyze the data. The relationship between behavioral intention to use AI chatbots and UTAUT predictors was examined using multivariable regression.ResultsA total of 693 participants were from 57 universities covering 21 provinces or municipalities in China. Only a minority (199/693, 28.72%) reported using AI chatbots for studying, with ChatGPT (129/693, 18.61%) being the most commonly used. Most of the participants used AI chatbots for quickly obtaining medical information and knowledge (631/693, 91.05%) and increasing learning efficiency (594/693, 85.71%). Utilization behavior, social influence, facilitating conditions, perceived risk, and personal innovativeness showed significant positive associations with the behavioral intention to use AI chatbots (all P values were <.05).ConclusionsChinese medical students hold positive perceptions toward and high intentions to use AI chatbots, but there are gaps between intention and actual adoption. This highlights the need for strategies to improve access, training, and support and provide peer usage examples to fully harness the potential benefits of chatbot technology.

Project description:In Uganda, the risk of unintended pregnancies and unsafe abortions remains high due to relatively low contraceptive use. There is paucity of data on knowledge, attitudes, perceptions and practices towards modern contraceptives and, sexual and reproductive health especially among the young female university students.A survey was conducted at Makerere University main campus in Kampala, Uganda during April 2014. A team of well-trained and experienced research assistants interviewed female undergraduate students who provided data on socio-demographic characteristics, knowledge, perceptions and attitudes and use of contraceptives, as well as other sexual and reproductive health practices. Users of any contraceptive method in the past 12 months were coded as '1' and none users as '0'. The prevalence of contraceptive use was determined as the number of users divided by all female participants. Prevalence ratios (PRs) with their corresponding 95 % confidence intervals were used as measures of association between contraceptive use and associated factors. The PRs were obtained via a modified Poisson regression model using a generalized linear model with Poisson as family and a log link without an offset but including robust standard errors. All analyses were conducted with Stata version 13.A total of 1,008 females responded to the survey; median (IQR) age was 21(20, 21) years, 38.6% in year 2 of study, and nearly three quarters (72.3%) were of Christian faith. Knowledge of any contraceptives was almost universal (99.6%) but only 22.1% knew about female condoms. Perceived acceptability of contraceptive use at the university (93%) or being beneficial to male partners too (97.8%) were high. Nearly 70% had ever engaged in sexual intercourse and 62.1% reported sexual intercourse in the past 12 months. Overall, 46.6% reported current contraceptive use, with male condoms (34.5%) being the commonest methods. Factors associated with higher contraceptive use were being in year 2, consensual union or perception that contraceptives are for females only. However, being evangelical/SDA or perception that contraceptive use is wrong was associated with lower contraceptive use. Overall, 9% reported ever being pregnant, 2% were pregnant at the time of the survey and a third (33.8%) knew of a pregnant friend. About 40% of ever pregnant respondents reported ever trying to terminate the pregnancy.Knowledge, perceived acceptability and benefits of contraceptive use were nearly universal, but contraceptive use was suboptimal in this setting. Ever trying to terminate a pregnancy was common and a clear indicator of unintended pregnancies.

Dataset Information

Impact of female students' perceptions on behavioral intention to use video conferencing tools in COVID-19: Data of Vietnam.

Publications

Impact of female students' perceptions on behavioral intention to use video conferencing tools in COVID-19: Data of Vietnam.

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