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Verification of learner’s differences by team-based learning in biochemistry classes
Kwang Ho Mun, Kyo Cheol Mun
Korean J Med Educ. 2017;29(4):263-269.   Published online 2017 November 29    DOI: https://doi.org/10.3946/kjme.2017.72

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Verification of learner’s differences by team-based learning in biochemistry classes
Korean Journal of Medical Education. 2017;29(4):263-269   Crossref logo
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Efficacy Verification of Team Learning Satisfaction, Problem Solving Ability, and Communication Ability of Problem Solving Process Classes Applying Action Learning, Problem-Based Learning, and Mentoring
Journal of Problem-Based Learning. 2020;7(2):63-73   Crossref logo
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Development of Project-based Learning Team in Information Security Classes in High Vocational Colleges
Advanced Materials Research. 2011;271-273:1826-1829   Crossref logo
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The Effects of Team-Based Learning on Students’ Attitudes and Students’ Performances in Introductory Sociology Classes
Journal of the Scholarship of Teaching and Learning. 2015;53-67   Crossref logo
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Latent classes from complex assessments: What do they tell us?
Learning and Individual Differences. 2020;83-84:101944   Crossref logo
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The design of IoT based smart learning environment for learner’s comfort level monitoring
Materials Today: Proceedings. 2021;   Crossref logo
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Student Accountability in Team-based Learning Classes
Teaching Sociology. 2015;44(1):28-38   Crossref logo
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Using team-based learning in discussion and writing classes
International Review of Economics Education. 2020;35:100195   Crossref logo
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Integrating Learning Styles and Personality Traits into an Affective Model to Support Learner’s Learning
Lecture Notes in Computer Science. 2009;225-234   Crossref logo
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Assessing student learning and knowledge transfer using principles of team-based learning and bridge assignments in large introductory statistics classes.
Scholarship of Teaching and Learning in Psychology. 2020;6(1):15-23   Crossref logo
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This metadata service is kindly provided by CrossRef from May 29, 2014. Korean J Med Educ has participated in CrossRef Text and Data Mining service since October 29, 2014.