Authors :
Song Chunyan; Nidhi Agarwal; Aminul Islam
Volume/Issue :
Volume 9 - 2024, Issue 5 - May
Google Scholar :
https://tinyurl.com/47z42sd9
Scribd :
https://tinyurl.com/5bak3a66
DOI :
https://doi.org/10.38124/ijisrt/IJISRT24MAY2484
Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.
Abstract :
Whether they are students or working doctors,
effective people in the medical field have knowledge
structures that are made up of large, integrated
frameworks of linked topics. Improving clinical problem-
solving along with other higher-level cognitive functions
is one of the many potential results of developing this
knowledge foundation. Concept mapping is a technique
that makes it possible to see how students conceptualise
the ideas that constitute the basis of the knowledge they
have been given. Concept maps are based on theories
from the academic field of learning theory and may be
used by students as a support aid when they solve
problems (PBL). In problem-based learning (PBL)
classrooms, students may draw concept maps that
integrate fundamental scientific and social concepts in
addition to PBL cases. In addition to promoting
communication, detecting knowledge gaps, coming up
with ideas for learning goals, stimulating application
across disciplinary boundaries, and evaluating each
student's progress, the usage of concept maps in PBL
lessons may also be advantageous. Concept mapping may
also be useful for students in other PBL contexts, such as
large-scale seminar discussion and team-based learning
settings. Students may get a deeper understanding of the
relationships between different concepts and the
Problem-Based Learning (PBL) case that is being
examined by using these kinds of PBL settings. The
creation of reliable, validity-evidenced tools is one of the
challenges preventing idea mapping from being widely
used in medical education.
Keywords :
Knowledge Structure, Conceptual Mapping, Problem-Based Instruction, and Student Evaluation.
References :
- Abubakar, D. & Adetimirin. (2015). Influence of computer literacy on post-graduates’ use of e-resources in Nigerian University Libraries. Library Philosophy and Practice.
- Alfayad, Z., Arif, L. S. (2017). Employee Voice and Job Satisfaction: An Application of Herzberg Two-factor Theory. International Review of Management and Marketing 7, 150–156.
- Cohen, K. E., Stage, F. K., Hammack, F. M., & Marcus, A. (2012). Persistence of master’s students in the United States: Developing and testing of a conceptual model. USA: PhD Dissertation, New York University.
- Demirkol, M., & Kazu, I. Y. (2014). Effect of blended environment model on high school students’ academic achievement. The Turkish Online Journal of Educational Technology, 13(1), 78–87.
- Fryer, L. K., & Bovee, H. N. (2016). Supporting students' motivation for e-learning: Teachers matter on and offline. The Internet and Higher Education, 30, 21–29.
- Garrison, D. R., & Akyol, Z. (2015). Toward the development of a metacognition construct for communities of inquiry. The Internet and Higher Education, 24 IS -, 66–71.
- Gallant, T. B. (2015). Academic integrity in the 21st century: a teaching and learning imperative. ASHE Higher Education Report, 33(5), 144.
- Hofmann, J. (2014). Solutions to the top 10 challenges of blended learning. Top 10 challenges of blended learning.
- Mann, K. V. (2011). Theoretical perspectives in medical education: past experience and future possibilities. Medical Education, 45(1): 60-68.
- Keenan, K. and Fontaine, D. (2012). Listening to our students: understanding how they learn research methods in geography. Journal of Geography, 111(6): 224-235.
- Rahman, S. et al, (2011). Knowledge construction process in online learning. Middle East Journal of Scientific Research, 8(2), 488–492.
- Sequeira, A. (2012). Introduction to Concepts of Teaching and Learning. National Institute of Technology Karnataka, Surathkal, India.
- Stevens, R. (2015). Role-play and student engagement: Reflections from the classroom. Teaching in Higher Education, 20 (5), 481-492.
- Shrain, K. (2012). Moving towards e-learning paradigm: Readiness of higher education instructors in Palestine. International Journal on E-Learning, 11(4), 441–463.
Whether they are students or working doctors,
effective people in the medical field have knowledge
structures that are made up of large, integrated
frameworks of linked topics. Improving clinical problem-
solving along with other higher-level cognitive functions
is one of the many potential results of developing this
knowledge foundation. Concept mapping is a technique
that makes it possible to see how students conceptualise
the ideas that constitute the basis of the knowledge they
have been given. Concept maps are based on theories
from the academic field of learning theory and may be
used by students as a support aid when they solve
problems (PBL). In problem-based learning (PBL)
classrooms, students may draw concept maps that
integrate fundamental scientific and social concepts in
addition to PBL cases. In addition to promoting
communication, detecting knowledge gaps, coming up
with ideas for learning goals, stimulating application
across disciplinary boundaries, and evaluating each
student's progress, the usage of concept maps in PBL
lessons may also be advantageous. Concept mapping may
also be useful for students in other PBL contexts, such as
large-scale seminar discussion and team-based learning
settings. Students may get a deeper understanding of the
relationships between different concepts and the
Problem-Based Learning (PBL) case that is being
examined by using these kinds of PBL settings. The
creation of reliable, validity-evidenced tools is one of the
challenges preventing idea mapping from being widely
used in medical education.
Keywords :
Knowledge Structure, Conceptual Mapping, Problem-Based Instruction, and Student Evaluation.