Abstrak |
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A misconception is well-known as a barrier to students in learning science. Some topics in science learning are
always giving misconception to novice students, and there have been various kinds of diagnostic assessment used
by researchers to identify student misconceptions in science. This present study provides information about an
overview of the common topics that students usually get misconception in science, and diagnostic assessment
used to identify students’ misconception in science. This review also provides a comparison of every instrument
with the weaknesses and the strengths reviewed from a total 111 articles that had published from the year 2015
to 2019 in the leading journal having the topic of students’ misconceptions in science. This study revealed that
33 physics, 12 chemistry, and 15 biology concepts in science that mainly caused misconceptions to students. Furthermore, it
found that
interview (10.74%),
simple
multiple-choice
tests
(32.23%) and
multiple
tier tests
(33.06%),
and open-ended
tests
(23.97%)
are
commonly used
as diagnostic
tests.
However,
every kind
of tests
has benefits
and
drawbacks
over the
other
when
it
is
used
in
assessing
student
conception.
An
expert
user
like
teachers
and
researchers
must
be
aware when
using
diagnostic assessment
in
the
learning
process,
exceptionally to
construct
student
conception. This
study is
expected to help researchers and teachers to decide the best
instrument to be
used in assessing
student
misconceptions
and to
examine the
common science topics
that caused
misconceptions
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Bibliography |
: |
Aas, I. M., Sonesson, O., & Torp, S. (2018). A Qualitative
Study
of Clinicians
Experience with
Rat-
and Mathematics Education, 14(1), 29-53.
Antol, S., Agrawal, A., Lu, J., Mitchell, M., Batra,
D., Lawrence Zitnick, C., & Parikh, D. (2015).
Vqa: Visual Question Answering. In Proceedings
of the IEEE International Conference on Computer
Vision (pp. 2425-2433).
ArmaÄŸan, F. Ö. (2017). Cognitive Structures of Elementary School Students:
What is
Science?.
European
Journal
of
Physics Education, 6(2), 54-73.
Asri, Y. N., Rusdiana, D., & Feranie, S. (2017, January).
ICARE Model
Integrated with
Science
Magic to
Improvement
of Students’
Cognitive
Competence in
Heat and
Temperature Subject.
In
International Conference on Mathematics and
Science Education. Atlantis Press.
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