vCBT

Dataset equipped with the information relating to students’ personal and educational background propensities, intelligence, achievements, interest, plans etc.

Data collection process had structured dialogue with specific target group i.e. university students. There were four ways of data collection – in-person interviews, online interview, mail and phone call. Main target was to get primary data that is reliable and can be easily used in machine learning algorithm for better analytics and detect behavioural disorders namely depression, anxiety and internet addiction.

本数据集收录了与学生个人及教育背景倾向、智力水平、学业成就、兴趣爱好、人生规划等相关的信息。
本次数据采集采用面向特定目标群体（即大学生）的结构化对话模式，共设有四种数据采集渠道：线下访谈、线上访谈、邮件调研与电话访谈。本次采集的核心目标为获取可靠的一手数据，以便适配机器学习算法开展更精准的分析，并检测抑郁症、焦虑症与网络成瘾等行为障碍。