@article{(Open Science Index):https://publications.waset.org/pdf/10416,
	  title     = {Explanatory of Relationship between Learning Motivation and Learning Performance},
	  author    = {Chih Chin Yang},
	  country	= {},
	  institution	= {},
	  abstract     = {In this paper, the relationship between learning
motivation and learning performance is explored by using exchange
theory. The relationship is concluded that external performance can
raise learning motivation and then increase learning performance. The
internal performance should be not completely neglected and the
external performance should be not attached important excessively.
The parents need self-study and must be also reeducated. The existing
education must be improved in raise of internal performance. The
incorrect learning thinking will mislead the students, parents, and
educators of next generation, when the students obtain good learning
performance in the learning environment with excess stimulants. Over
operation of external performance will result abnormal learning
thinking and violating learning goal. Learning is not only to obtain
performance. Learning quality and learning performance will be
limited as without learning motivation. The best learning motivation
is, the best learning performance is. The learning for reward is not
good for learning performance. Strategies of promoting life-long
learning are including the encouraging for learner, establishment of
good interaction learning environment, and the advertisement of the
merit and the importance of life-long learning, which can let the
learner with the correct learning motivation.},
	    journal   = {International Journal of Educational and Pedagogical Sciences},
	  volume    = {6},
	  number    = {9},
	  year      = {2012},
	  pages     = {2374 - 2377},
	  ee        = {https://publications.waset.org/pdf/10416},
	  url   	= {https://publications.waset.org/vol/69},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 69, 2012},