Survey Dataset on Face to Face Students' intention to use Social Media and Emerging Technologies for Continuous Learning

One of the sectors that felt the impact of the Corona Virus Disease 2019 (COVID-19) pandemic was the educational sector. The outbreak led to the immediate closure of schools at all levels thereby sending billions of students away from their various institutions of learning. However, the shut down of academic institutions was not a total one as some institutions that were solely running online programmes were not affected. Those who were running face to face and online modes quickly switched over to the online mode. Unfortunately, institutions that have not fully embraced online mode of study were greatly affected. 85% of academic institutions in Nigeria are operating face to face mode of study, therefore, majority of Nigerian students at all levels were affected by the COVID-19 lockdown.
Social media platforms and emerging technologies were the major backbones of institutions that are running online mode of study, therefore, this survey uses the unified theory of acceptance and use of technology (UTAUT) model to capture selected Face to face Nigerian University students accessibility, usage, intention and willingness to use these social media platforms and emerging technologies for learning. The challenges that could mar the usage of these technologies were also revealed. Eight hundred and fifty undergraduate students participated in the survey.

The dataset includes the questionnaire used to retrieve the data, the responses obtained in spreadsheet format, the charts generated from the responses received, the Statistical Package of the Social Sciences (SPSS) file and the descriptive statistics for all the variables captured.
This second version contains the reliability statistics of the UTAUT variables using Cronbach's alpha. This measured the reliability as well as the internal consistency of the UTAUT variables. This was measured in terms of the reliability statistics, inter-item correlation matrix and item-total statistics.
Authors believed that the dataset will enhance understanding of how face to face students use social media platforms and how these platforms could be used to engage the students outside their classroom activities. Also, the dataset exposes how familiar face to face University students are to these emerging teaching and learning technologies.
In this version 3, the SPSS file in SAV format was made available in csv format. Also, the .rar file was made opened to make data accessibility easier.

2019冠状病毒病（COVID-19）大流行对诸多领域造成冲击，教育领域便是其中之一。疫情暴发后，各级学校紧急关停，数十亿学生被迫离开各自的学习院校。不过，此次学术机构停摆并非全面性：仅开展线上课程的院校未受影响；采用线下与线上混合教学模式的机构迅速转向纯线上教学。遗憾的是，尚未全面普及线上教学模式的院校则遭受了严重冲击。尼日利亚85%的学术机构采用线下教学模式，因此该国绝大多数各级学生均受到新冠疫情封控措施的影响。

社交媒体平台与新兴技术是开展线上教学的核心支撑。为此，本调研采用技术接受与使用统一理论（Unified Theory of Acceptance and Use of Technology, UTAUT）模型，探究尼日利亚部分线下教学高校学生对这些社交媒体平台及新兴技术的使用、获取情况，以及用于学习的使用意向与接受意愿，同时梳理了阻碍此类技术应用的各类挑战。本次调研共有850名本科生参与。

本数据集包含用于采集数据的调查问卷、以电子表格格式存储的调研结果、基于调研数据生成的可视化图表、社会科学统计软件包（SPSS）格式文件，以及所有观测变量的描述性统计结果。

本数据集第二版包含采用克朗巴哈α系数（Cronbach's alpha）计算得到的UTAUT变量信度统计结果，用于衡量UTAUT各变量的信度与内部一致性，具体统计项包括信度指标、项间相关矩阵与项-总统计量。

作者团队认为，本数据集有助于加深对线下教学高校学生使用社交媒体平台的理解，以及如何借助此类平台开展课堂外的学生学习活动；同时，本数据集还揭示了线下教学高校学生对新兴教学技术的熟悉程度。

在第三版中，原SAV格式的SPSS文件现已转换为CSV格式提供；同时，原.rar压缩包已解压，以进一步降低数据获取门槛。