关于越南高中教师为教育中的数字化转型做好准备的数据集
Hue Thi Thu Dang1, Dieu Quynh Bui1, Quoc Anh Vuong1
1The Vietnam National Institute of Educational Sciences, 101 Tran Hung Dao, Cua Nam Ward, Hoan Kiem District, Hanoi, Vietnam.
Data in brief
|December 1, 2025
概括
这项研究对越南高中教师进行了评估.
科学领域:
- 教育技术的教育技术.
- 数字学习数字学习
- 教师专业发展教师专业发展
背景情况:
- 教育的数字化转型需要评估教师的准备.
- 越南的高中教育工作者在数字教学和专业实践方面面临着不断变化的需求.
- 了解教师准备对于有效的政策和培训至关重要.
研究的目的:
- 综合评估越南高中教育工作者的数字准备程度.
- 通过十个关键维度评估教师准备,包括知识,感知和行为.
- 为数字教育战略和教师培训提供一个强大的数据集.
主要方法:
- 在2025年5月15日至5月31日期间,使用谷歌表格进行了在线调查.
- 收集了来自越南五个省和城市的11,448名高中教师的数据.
- 响应是匿名的,并为保密性和分析效率而编码.
主要成果:
- 该数据集详细介绍了教师准备的十个维度:内容知识,技术知识,技术教学知识,教师对技术应用的看法和期望,使用技术的能力,社会影响,促进条件,利用技术的行为意图和实际使用技术的行为.
- 分析收集的数据将揭示影响教师对数字化转型的准备程度的关键因素.
- 调查结果将提供有关越南高中教师数字能力现状的见解.
结论:
- 这一数据集是了解越南数字教育格局中教师准备能力的基础资源.
- 这些发现可以指导制定有针对性的干预措施和政策,以提高数字教学技能.
- 进一步的研究和比较研究可以利用这些数据来跟踪进展,并完善教育技术采用战略.
相关概念视频
00:59How Data are Classified: Numerical Data
Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
01:07Data Collection by Survey
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
01:30Data Collection I
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of data...
01:29Data Collection II
The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and family,...
01:05Data Collection III
The physical assessment examines the patient for objective data that defines the patient's condition, and aids in formulating the nursing care plan. The purpose of physical assessment is a health status appraisal, which includes identifying health problems, and establishing a database for nursing intervention.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
The principles to begin the physical assessment include conducting a comprehensive or problem-related history in a quiet, well-lit room, emphasizing privacy and comfort for the patient.
01:18Types of Records II: Educational and Administrative Records
Maintaining nurses' educational and administrative records in healthcare settings, including hospitals and nursing schools, is paramount. Here's a breakdown of the types of academic records mentioned: