Tzimiris Spyridon, Nikiforos Stefanos, Kermanidis Katia Lida
Humanistic and Social Informatics Laboratory (HILab), Department of Informatics, Ionian University, 7 Tsirigoti Square, Corfu, Greece.
Educ Inf Technol (Dordr). 2023 Jan 24:1-44. doi: 10.1007/s10639-023-11582-2.
The Covid-19 outbreak caused transition from face-to-face teaching to Emergency Remote Teaching (ERT). Due to the hastily and disorganized implementation of ERT considerable difficulties were caused for all the students. Aim of the present study was to investigate (i) parents' views of students with functional diversity regarding ERT during the Covid-19 pandemic and (ii) how their children's functional diversity affected participation in ERT. ERT proved to be an even greater challenge for those students, who faced various learning, psychological and technical problems that further hindered the learning process. In the current research, the views of 12 parents of students with functional diversity were collected with semi-structured interviews. A Modern Greek dataset of qualitative humanistic-linguistic data was created. A novel type of data analysis, combining qualitative descriptive analysis by hand and Artificial Intelligence (AI)-based linguistic analysis was performed on the interview text. Results revealed (i) how those students responded to ERT, (ii) the way that their functional diversity affected their attendance on the online courses and (iii) how their parents evaluate the educational dimension of ERT along with any changes noticed in their children's psychological and emotional state. Parents' evaluations disclosed the overall negative impact of ERT on their children and presented their suggestions for meeting their children's special needs in case of ERT appliance in the future. The current research is considered significant as it investigates ERT impact on K-12 students with functional diversity during the Covid-19 pandemic, based on authentic humanistic data. Our research contributes on (i) the creation of this kind of dataset, as this particular group of students is hard to come by and their collection constitutes a significant contribution and (ii) the two-fold way data analysis methodology, which is novel, combining linguistic and qualitative processes (semantic and sentiment analysis), providing important findings.
新冠疫情的爆发导致教学方式从面对面教学转变为应急远程教学（ERT）。由于ERT的仓促实施且缺乏组织，给所有学生都带来了相当大的困难。本研究的目的是调查：（i）在新冠疫情期间，家长对有功能多样性的学生参与ERT的看法；（ii）他们孩子的功能多样性如何影响其参与ERT。事实证明，ERT对这些学生来说是一个更大的挑战，他们面临各种学习、心理和技术问题，这进一步阻碍了学习进程。在本研究中，通过半结构化访谈收集了12位有功能多样性学生家长的看法。创建了一个关于定性人文语言数据的现代希腊语数据集。对访谈文本进行了一种新型的数据分析，将人工定性描述分析与基于人工智能（AI）的语言分析相结合。结果显示：（i）这些学生对ERT的反应；（ii）他们的功能多样性影响其在线课程出勤率的方式；（iii）他们的家长如何评价ERT的教育层面，以及注意到孩子心理和情绪状态的任何变化。家长的评价揭示了ERT对其孩子的总体负面影响，并提出了在未来实施ERT时满足孩子特殊需求的建议。本研究具有重要意义，因为它基于真实的人文数据，调查了新冠疫情期间ERT对有功能多样性的K-12学生的影响。我们的研究在以下方面做出了贡献：（i）创建了这类数据集，因为这类特殊学生群体很难获得，他们的数据收集是一项重大贡献；（ii）采用了新颖的双重数据分析方法，将语言和定性过程（语义和情感分析）相结合，提供了重要发现。
