Tzafilkou Katerina, Perifanou Maria, Economides A A
SMILE Lab, University of Macedonia, Egnatia 156, 54636 Thessaloníki, Greece.
SMILE Lab & Information Systems IPPS, University of Macedonia, Thessaloníki, Greece.
Int J Educ Technol High Educ. 2022;19(1):30. doi: 10.1186/s41239-022-00330-0. Epub 2022 May 16.
Towards the transition to blended and remote education, evaluating the levels of students' digital competence and designing educational programs to advance them is of paramount importance. Existing validated digital competence scales usually ignore either important digital skills needed or new socio-technological innovations. This study proposes and validates a comprehensive digital competence scale for students in higher education. The suggested instrument includes skills of online learning and collaboration, social media, smart and mobile devices, safety, and data protection. The scale was evaluated on a sample of 156 undergraduate and postgraduate students just before and at the beginning of the COVID-19 crisis. The final scale is composed of 28 items and six digital competence components. The evaluation study revealed valid results in terms of model fit criteria, factor loadings, internal validity, and reliability. Individual factors like the students' field of study, computer experience and age revealed significant associations to the scale components, while gender revealed no significant differences. The suggested scale can be useful to the design of new actions and policies towards remote education and the digital skills' development of adult learners.
在向混合式和远程教育过渡的过程中,评估学生的数字能力水平并设计提升这些能力的教育项目至关重要。现有的经过验证的数字能力量表通常会忽略所需的重要数字技能或新的社会技术创新。本研究提出并验证了一种针对高等教育学生的综合数字能力量表。该建议工具包括在线学习与协作、社交媒体、智能和移动设备、安全以及数据保护等技能。在新冠疫情危机爆发前及刚开始时,对156名本科生和研究生样本进行了该量表的评估。最终量表由28个项目和六个数字能力组成部分构成。评估研究在模型拟合标准、因子载荷、内部效度和信度方面得出了有效的结果。诸如学生的学习领域、计算机经验和年龄等个体因素与量表组成部分存在显著关联,而性别则未显示出显著差异。该建议量表对于设计远程教育新行动和政策以及成人学习者数字技能的发展可能会有所帮助。