Affiliation(s)
Shenzhen Polytechnic, Guangdong Key Laboratory of Big Data Intelligence for Vocational Education, Shenzhen, China
Xili Primary School, Shenzhen, China
Shenzhen Polytechnic, Shenzhen, China
Shenzhen Polytechnic, Shenzhen Pengcheng Technician College, Guangdong Key Laboratory of Big Data Intelligence for Vocational Education, Shenzhen, China
ABSTRACT
As
the intrinsic driving force to promote learner’s learning, learning motivation
is one of the key factors that affect learning engagement and efficiency. In
terms of optimizing instructional videos and strengthening learning effects, it
is particularly important to understand the cognitive neural mechanism and
influencing factors of the changes of learning motivation. By using the
near-infrared spectrometer technology, the paper has collected the state of
neural activity while learners were learning different instructional videos,
and has analyzed the relationship between the learning motivation of
instructional videos and the state of neural activity in the learning process
from the angle of cognitive neuroscience. It is found that both the intrinsic
and extrinsic learning motivation of instructional videos will affect the state
of neural activity in the learning process; the learning process will also
affect the intensity of learning motivation, while the preparation of fine
instructional videos will also cause the transfer of learning motivation.
KEYWORDS
learning
motivation, learning process, state of neural activity, NIRS
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