Developing Novel Learning Spaces Through Social Media Channels for Sustainable CAD Engineering Education

被引:5
作者
Kanetaki, Zoe [1 ]
Stergiou, Constantinos [1 ]
Troussas, Christos [2 ]
Sgouropoulou, Cleo [2 ]
机构
[1] Univ West Attica, Sch Engn, Dept Mech Engn, Egaleo, Greece
[2] Univ West Attica, Sch Engn, Dept Informat & Comp Engn, Egaleo, Greece
来源
NOVEL & INTELLIGENT DIGITAL SYSTEMS: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE, NIDS 2022 | 2023年 / 556卷
关键词
Social media; YouTube analytics; Meta-COVID-19; CAD; Engineering education; Knowledge data;
D O I
10.1007/978-3-031-17601-2_35
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This study investigates learners' viewing behaviors and engagement patterns through educational video analytics. Based on the performance of 42 instructional videos aiming to provide asynchronous help in both online and traditional Engineering laboratories in Higher Education, a comparative analysis has been performed. Data from YouTube channel's reports have been collected and processed in three time periods: the first semester of the academic year 2019-2020 and 2020-2021 in strictly remote teaching environments, and the second semester of 2021-2022 in traditional and hybrid learning modes. Even though instructor-generated educational videos have been a common tool for asynchronous support in online learning spaces, an evaluation by the available social media channels analytics has not been performed yet in an adequate level for leading to results. The most important outcome of this research is that YouTube analytics of the educational videos have shown that the social media channel can perform under different learning environments, with the same efficiency, proving the long-term viability of this construct of the learning strategy. Instructors and stake holders may profit from this study for future course planning in Engineering online and hybrid learning environments.
引用
收藏
页码:359 / 371
页数:13
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