HSIEH, PEI-HSUAN
National Chengchi University Department of Computer Science Associate Professor
E-mail:hsiehph@nccu.edu.tw
HUNG, MING-YI
National Chengchi University Department of Computer Science Student
E-mail:10971013@nccu.edu.tw
Abstract
The level of attention should vary across different types of learning content and different learning stages, which is worth further exploration in this study to assist teachers in understanding the students’ overall level of attention in online learning. This study recruited five students to watch pre-recorded online learning courses. The formative assessment throughout the learning process involved detecting and extracting facial features to obtain values for the level of attention in different learning stages. Based on the type of learning content, different levels of attention were calculated for different learning content. Summative assessment included pre- and post-tests scores, as well as responses to a questionnaire assessing the degree of increase in learning interests. Data analysis for this study is ongoing, with an expectation of finding significant differences in levels of attention between different types of learning content and different learning stages, respectively. Finally, this study intends to provide teachers with an effective way to assess online students’ overall level of learning attention.
Keywords : Online Learning, Attention, Facial Detection, Learning Performance