Bicocca Center for Applied Psychology, Mind and Behavior Technological Center, Department of Psychology, University of Milano Bicocca, Italy.
Department of Medical and Surgical Science, Alma Mater Studiorum-University of Bologna, Italy.
Acta Psychol (Amst). 2023 Jun;236:103936. doi: 10.1016/j.actpsy.2023.103936. Epub 2023 May 11.
The ongoing COVID-19 pandemic has led to several changes in academic teaching practices. Although educational digital technologies have been crucial during the initial phases of the pandemic, their forced adoption has led to negative consequences. In the present study, we aimed to integrate the Technology Acceptance Model theoretical framework (Davis, 1989) by exploring the effects of some possible factors that influence the willingness to adopt digital learning tools in the future when the pandemic is over. Among them, technostress was considered one of the external factors that could have adversely affected digital teaching technology adoption in the future. In contrast, the perception of technical support offered by the university was considered a potential protective factor. A total of 463 Italian university faculty completed an online questionnaire at the end of the first semester (a.y. 2020-21). The frequency of distance teaching technologies usage behavior was measured objectively by extracting teachers' activities from the University's e-learning databases. Key findings indicated that distance teaching technologies' frequency of use increased technostress, which in turn negatively impacted the perception of ease of use. The latter influences - both directly and indirectly through perceived usefulness - the intentions to adopt distance learning tools after the pandemic. Organizational support negatively predicted technostress. Implications to help public institutions develop functional strategies to cope with the technological changes brought by the pandemic are discussed.
持续的 COVID-19 大流行导致学术教学实践发生了多项变化。虽然教育数字化技术在大流行的初期阶段至关重要,但它们的强制采用导致了负面后果。在本研究中,我们旨在通过探索一些可能影响未来大流行结束后采用数字学习工具的意愿的因素,整合技术接受模型理论框架(Davis,1989)。其中,技术压力被认为是未来数字教学技术采用的一个不利影响因素。相比之下,大学提供的技术支持感知被认为是一个潜在的保护因素。共有 463 名意大利大学教师在第一学期末(a.y. 2020-21)完成了在线问卷。通过从大学的电子学习数据库中提取教师的活动,客观地衡量了远程教学技术使用行为的频率。主要发现表明,远程教学技术的使用频率增加了技术压力,这反过来又对易用性感知产生负面影响。后者通过感知有用性直接和间接地影响大流行后采用远程学习工具的意愿。组织支持负预测了技术压力。讨论了为帮助公共机构制定应对大流行带来的技术变革的功能性策略的意义。