five

STUDENTS' DIGITAL COMPETENCIES, RELATED ATTITUDES AND SELF DIRECTED LEARNING

收藏
DataCite Commons2020-09-20 更新2024-07-13 收录
下载链接:
http://proceedings.elseconference.eu/index.php?paper=d7189441718484fe2694218779e4f020
下载链接
链接失效反馈
官方服务:
资源简介:
Digital native students are a challenge for some teachers. In Romanian educational context, not all teachers allow students to use the technology freely and independently in order to handle learning tasks. This study aims to investigate the correlations between students’ self-perceived digital competencies, relevant related attitudes and their level of self-direction in learning, alongside with their perception of how teachers relate to the use of technology for the educational process (teaching & learning). For this study, we used a cross-sectional design, with data collection in multiple sequences, from a non-randomized sample of 200 undergraduate students, distributed into 2 groups (technical and non-technical specializations), with no intended intervention. The methods used in collecting data were online survey (using questionnaires) and focus-group interviews. The results indicate that students’ level of self-directed learning correlates with the frequency of using digital tools for learning. Furthermore, students that are prone to a high frequency and more complex usage of technology due to their specialization, are more likely to report a more favorable attitude towards digitalized learning than students majoring in social sciences. Also, the more self-directed the students are in their learning, the higher they score on their self-efficiency level. The results show that the higher the level of self-efficiency is, the better their level of self-perceived digital competencies is. We also observed that their level of self-perceived digital competencies could be associated with their self-efficiency level. Moreover, seems like a higher level of learning satisfaction appears in students whose teachers allow them to decide independently about the frequency and modality of technology usage in their learning.
提供机构:
ADLRO
创建时间:
2018-05-04
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作