摘要(英) |
In recent years, with the evolution of technology,
online learning is no longer a new word ,
but a learning method that is gradually accepted and loved by the public, and is also widely
promoted by various colleges and universities in the country, such as National Taiwan
University, National Tsing Hua University and National Cheng Kung University all have their
own online open courses. Through online learning, students can participate in online courses
anytime, anywhere, whether they are in a quiet park or on a passionate stadium. In recent years,
due to the spread of the Coronavirus , it is necessary to minimize contact with others, which has
also created a wave of online learning among people.
At present, all major online learning platforms can
make it easier and faster for instructors
to design courses, whether it is a combination of teaching videos an d e books, or setting up quiz
after online teaching. In the course, teachers can use the statistical information provided by the
platform to know the current classroom situation at any time, such as: the statistics of the
number of students watching the class video, the student answer rate of the class test... etc., and
all the students′ behaviors are a l so be recorded by the learning platform, and a complete
operation record will be established based on these data.
This research is established on the BookRoll online learning platform. Through this
platform, the behavior data (log) generated by students operating the e book is recorded, and
the data is processed and encoded into learning objects through methodology. Afterwards, the
reading pattern was extracted through Exploratory Factor Analysis (EFA), and the relationship
between it and the results of the semester was explored. Because students use SQ3 R reading
strategies in the learning process, linear regression will be used to establish a regression model of reading pattern, SQ3R and learning
outcome to find the relationship between each other. |
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