Classroom condition is an essential in the university learning process. The lecturers and students interact directly for several hours in it. Environmental classroom conditions directly affect the learning system. Next, it is a must to design a classroom that considers both physical and environmental conditions. The objective of this research is to formulate the university classroom design by Kansei Engineering approach. Ten kansei words were selected and resulted two design concepts namely “a good classroom with cool, clean lines” and “bright classroom”. There are 7 physical elements (wall, chair and table color, chair table type, learning tool, ceiling design and furniture arrangement). The eenvironmental conditions follow the criteria from previous research findings to achieve the best student’s performance during the lessons. There are 5 of them to consider (noise level, illumnination, humidity, ventilation and thermal conditions). Based on decision tree the formula of each design were resulted. The first concept of "good classroom" is strongly influenced by the color of the chairs, while the second concept of "bright classroom" is influenced by the type of chair used.

1.
Cheryan
,
S.
,
Ziegler
,
S. A
,
Plaut
,
V. C
and
Meltzoff
,
A. N
2014
Designing Classrooms to Maximize Student Achievement
Behav. Brain Sci.
1
4
12
2.
Ricciardi
,
P.
and
Buratti
,
C.
2018
Environmental quality of university classrooms: Subjective and objective evaluation of the thermal, acoustic, and lighting comfort conditions
Build. Environ.
127
23
36
3.
Buratti
,
C.
and
Ricciardi
,
P.
2009
Adaptive analysis of thermal comfort in university classrooms: Correlation between experimental data and mathematical models
Build. Environ.
44
674
87
4.
Teli
,
D.
,
Jentsch
,
M. F
and
James
,
P. A B
2014
The role of a building’s thermal properties on pupils’ thermal comfort in junior school classrooms as determined in field studies
Build. Environ.
82
640
54
5.
Zomorodian
,
Z. S
,
Tahsildoost
,
M.
and
Hafezi
,
M.
2016
Thermal comfort in educational buildings: A review article
Renew. Sustain. Energy Rev.
59
895
906
6.
Wang
,
D.
,
Jiang
,
J.
,
Liu
,
Y.
,
Wang
,
Y.
,
Xu
,
Y.
and
Liu
,
J.
2017
Student responses to classroom thermal environments in rural primary and secondary schools in winter
Build. Environ.
115
104
17
7.
Kamaruzzaman
,
K.
and
Samsul Bin Mohd
Tazilan
, A.
2013
Thermal Comfort Assessment of a Classroom in Tropical Climate Conditions
Recent Adv. Energy, Environ. Dev.
8.
Castilla
,
N.
,
Llinares
,
C.
,
Bisegna
,
F.
and
Blanca-Giménez
V
2018
Affective evaluation of the luminous environment in university classrooms
J. Environ. Psychol.
58
52
62
9.
Castilla
,
N.
,
Llinares
,
C.
,
Bravo
,
J. M
and
Blanca
,
V.
2017
Subjective assessment of university classroom environment
Build. Environ.
122
72
81
10.
Nagamachi
,
M.
2011
Kansei/Affective Engineering
(
Boca Raton
:
CRP Press, Taylor & Francis Group
)
11.
Oh
,
K.
,
Lim
,
C. G
,
Kim
,
S. S
and
Choi
,
H. J
2013
Research trend analysis using word similarities and clusters
Int. J. Multimed. Ubiquitous Eng.
8
185
96
12.
Tessem
,
B.
,
Bjørnestad
S
,
Chen
,
W.
and
Nyre
,
L.
2015
Word cloud visualisation of locative information
J. Locat. Based Serv.
9
254
72
13.
Nagamachi
,
M.
and
Tachikawa
,
M.
2008
A successful statistical procedure on kansei engineering products
Electron. Conf. …
987
95
14.
Mishra
,
A. K
and
Ratha
,
B. K
2016
Study of Random Tree and Random Forest Data Mining Algorithms for Microarray Data Analysis
Int. J. Adv. Electr. Comput. Eng.
3
5
7
15.
Suhr
,
D. D
2010
Principal component analysis vs. exploratory factor analysis
SUGI 30
pp
1
11
16.
Kassambara
,
A.
and
Mundt
,
F.
2017
Articles - Principal Component Methods in R: Practical Guide
Sthda
1
39
17.
Yang
,
H. S
,
Cho
,
H. M
and
Kim
,
M. J
2018
On-site measurements for noise reduction through open windows of classrooms with different building dispositions
Appl. Acoust.
139
165
73
18.
Bean
,
R.
2014
Lighting: Interior and Exterior
(
Oxfordshire
:
Routledge
)
19.
ASHRAE
2010
ANSI/ASHRAE Standard 55: Thermal Environmental Conditions for Human Occupancy
20.
Gao
,
J.
,
Wargocki
,
P.
and
Wang
,
Y.
2014
Ventilation system type, classroom environmental quality and pupils’ perceptions and symptoms
Build. Environ.
75
46
57
This content is only available via PDF.
You do not currently have access to this content.