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Active Learning | Post-Occupancy Evaluation
Active Learning
Exploring workplace
research, insights and trends
360.steelcase.com
How Classroom
Design Affects
Student
Engagement
WHITE PAPER
1
New data from ongoing Steelcase Education studies shows that
classrooms designed for active learning—i.e., where physical
space supports a focus on engaging experiences for students
and faculty— have a significant effect on student engagement.
Improving educational outcomes
is a nearly universal goal, but how
to achieve it remains a focus of
continuing research and debate.
The success of any student is influenced
by many variables. Academic studies
have investigated several of them,
from socioeconomic background to
internal motivation to the influence
of different teaching styles. Still often
overlooked or underemphasized
is the role of classroom design.
Noteworthy studies have been completed
in recent years that show factors in the
built environment can affect retention,
attention, motivation, learning and
U.S. universities. A robust survey
instrument, titled the Active Learning
Post Occupancy Evaluation
(AL-POE) tool, was developed
specifically for measuring the impact
of classroom design on student
engagement. Engagement is widely
recognized as a highly probable
predictor of student success.
The results of the beta study and
the following term’s aggregated
data revealed that classrooms
intentionally designed to support
active learning increased student
engagement on multiple measures
as compared to traditional (i.e., row-
by-column seating) classrooms.
academic achievement, but there have
not been reliable post-occupancy
evaluations of how different classroom
designs affect student success. To
address this important gap, a team of
Steelcase Education researchers, in
collaboration with academic researchers
in Canada and the United States,
recently completed studies at four
Comparisons between old
and new classrooms were
statistically significant on
all 12 measured factors
for both instructors and
learners (p<0.001).
2 | 360.steelcase.com
HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT
Active Learning
seating (“pre/old”) (See Figure 1: Standard
Classroom) to what they experienced in
a classroom intentionally designed for
active learning—i.e., where physical
space supports a focus on engaging
experiences for students and faculty
(“post/new”). (See Figure 2: Steelcase
Advanced Learning Environments)
(The AL-POE instrument showed these
figures to orient the participant.)
The active learning classrooms were
furnished with Steelcase’s advanced
innovative products and applications
for active learning settings: Node®
seating (See Figure 3), Verb®
,
media:scape®
and LearnLab™.
To determine a relationship between
classroom design and the behavioral
factors of student engagement,
participating faculty members did
not receive training from Steelcase
on active learning practices.
The settings were simply provided
for their use as they saw fit.
Figure 1: Standard Classroom Figure 2: Steelcase Advanced Learning Environments – 4 Scenarios
Verb classroom
media:scape classroom
Node classroom
LearnLab (or media:scape LearnLab)
Figure 3: Node Classroom Example
EXTENDING WHAT’S KNOWN
Sociological and environment behavioral
research has established the impact of
built environments on various behaviors:
territoriality, crowding, situational and
personal space. More recently researchers
have explored how a learning environment
impacts students. The consensus is that
learning spaces have physical, social and
psychological effects. The Steelcase
Education research program was
undertaken to build upon and contribute
to this growing body of evidence that the
learning environment impacts students’
success and engagement is a key
predicting factor.
THE APPROACH: AN ACTIVE
LEARNING POST-OCCUPANCY
EVALUATION SURVEY
The research was designed to analyze
student engagement across multiple
measures by asking participants to
compare their experiences in a traditional
/standard classroom with row-by-column
3 | 360.steelcase.com
HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT
Active Learning
Using a two-step decision-making
research method, student and faculty
participants simultaneously evaluated
their experience in the active learning
setting and their previous experience
in the traditional classroom; specifically
they compared the “pre/old” and
“post/new” settings for each metric.
Knowing that a robust and reliable
tool is key to meaningful, consistent
measurement, the research team used
a rigorous content analysis process
to create the AL-POE questions,
synthesizing information from multiple
resources including the 2012 National
Survey of Student Engagement and
published studies in brain science,
brain-compatible classrooms, learning
research and the impact of classroom
design. The external institutional
review board, Heartland, reviewed and
approved the study’s research protocol.
The main body of the resulting evaluation
has two sections. Section I (Practices)
focuses on active learning practices
that elicit engagement in the learning
space. Section II (Solutions) measures
the effect of the classroom design on
these active learning practices. Twelve
measurement factors are consistent
across the two sections, including:
•• collaboration
•• focus
•• active involvement
•• opportunity to engage
•• repeated exposure to material through
multiple means
•• in-class feedback
•• real-life scenarios
•• ability to engage ways of learning best
•• physical movement
•• stimulation
•• feeling comfortable to participate
•• creation of an enriching experience
Another set of questions uses a
five-point Likert scale to determine
perceptions of grades, retention, overall
engagement and ability to be creative.
Open-ended comments are solicited as
a final component of the survey tool.
Respondents completed the survey
online approximately 6-8 weeks into
the term so they had enough time to
establish a rhythm of using the space.
To ensure adherence to the standards
of academic research, the Steelcase
Education team worked with third
parties: IRB research protocol review,
academic researchers and a statistician
to analyze and report results.
RESULTS: ACTIVE LEARNING
CLASSROOMS HAVE A POSITIVE
IMPACT ON STUDENT ENGAGEMENT.
The combined studies results yielded
major findings, all supporting a highly
positive and statistically significant
impact of active learning classrooms
on student engagement:
1) In the universities studied,
participants reported that the new
classrooms improved active learning
practices and had more positive
impact on engagement compared
to the old classrooms. There were no
significant differences in results among
participating universities, strengthening
the applicability of the findings.
To ensure adherence to
the standards of academic
research, the Steelcase team
worked with third-parties:
IRB research review protocol,
researchers and a statistician
to analyze and report results.
Two study participants
share key insights:
“Instead of doing multi-year
studies and piloting different
approaches, for which we
do not have time, we were
able to implement proven
active learning solutions
by leveraging Steelcase
Education’s expertise.
They are an important partner
in proposing and modifying
solutions that prove impactful
on teaching and learning.”
—Michael Olsen
Former director of information
technology and biosciences
and research, University of
Minnesota Rochester
“The ongoing research study
conducted here by Steelcase
Education revealed a statistical
significance in terms of
student engagement between
our Interactive Learning Space
and traditional classroom
layouts. This revelation was a
shared perspective from both
faculty and students.”
—Gary Pavlcechko
Former director of The Office
of Educational Excellence at
Ball State University
4 | 360.steelcase.com
HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT
Active Learning
Figure 4: Analysis of Individual Survey Items (n=386 Students, n=42 Faculty)
collaboration
focus
active involvement
opportunity to engage
multiple means
in-class feedback
real-life scenarios
ways of learning best
physical movement
stimulation
comfortable to participate
enriching experience
PRACTICES SOLUTIONS
Student Old Classroom
Student New Classroom
Faculty Old Classroom
Faculty New Classroom 100%	80%	60%	40%	20%	 0%	 20%	40%	60%	80%	100%
100%	80%	60%	40%	20%	 0%	 20%	40%	60%	80%	100%
PERCENT ADEQUATE OR BETTER
2) The majority of students rated the
new classroom better than the old
classroom on each of the 12 factors.
For all of the items in both sections of the
evaluation, the differences between old/
pre and new/post ratings were highly
statistically significant (p<0.001) for both
faculty and students. (See Figure 4)
3) Overall, active learning
practices and the impact of the
physical space significantly
improved in the new classrooms
for both students and faculty.
In the practices section, average
composite scores rose from 23.2 (old/
pre) to 34.2 (new/post) for students, and
from 24.0 (old/pre) to 37.3 (new/post) for
faculty. In the solutions section, average
composite scores rose from 21.8 (old/
pre) to 35.5 (new/post) for students
and from 19.1 (old/pre) to 38.8 (new/
post) for faculty. (See Figures 5 and 6)
4) The majority of students and
faculty reported that the new
classrooms contributed to higher
engagement, the expectation of
better grades, more motivation and
more creativity. A large majority of
students self-reported a moderate to
exceptional increase in their engagement
(84%), ability to achieve a higher grade
(72%), motivation to attend class (72%),
and ability to be creative (77%). Almost
all faculty members reported a moderate
5 | 360.steelcase.com
HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT
Active Learning
to exceptional increase in student
engagement (98%), and all perceived
a moderate to exceptional increase in
student’s ability to be creative (100%).
A large majority of faculty reported a
moderate to exceptional increase in
students’ ability to achieve a higher grade
(68%), and a moderate to exceptional
increase in students’ motivation to
attend class (88%). (See Figure 7)
THE BOTTOM LINE: INTENTIONALLY
DESIGNING SPACES PROVIDES
FOR MORE EFFECTIVE
TEACHING AND LEARNING
As a result of the development of the
evaluation instrument and this managed
research program, decision makers
at educational institutions, architects
and designers can be assured that
investments in solutions intentionally
designed to support active learning
can create more effective classrooms
and higher student engagement.
Furthermore, there’s now evidence that
these classrooms encourage and enable
educators to practice active learning
methods. Faculty development is still
recommended to understand how to
leverage the space as a tool for learning.
The study also underscores the
importance of designing products
for educational environments based
on insights from rigorous research.
All the products used in the new/
post classrooms were developed
from Steelcase’s human-centered
research process methodology,
and this study validates that the
evidence-based design protocol helps
produce measurable results in use.
The Steelcase AL-POE tool developed
for this study can now be used
to reliably measure the impact of
engagement in learning environments,
adding to the body of knowledge about
the relationship and implications of
student engagement and spaces for
learning. Initial findings from the study
have been published in Planning for
Higher Education, a peer-reviewed
journal produced by the Society for
College and University Planning.
Steelcase is continuing this managed
research project to build data and gain
new insights into how educational
environments can be designed and
equipped to optimize learning.
THE RESEARCH TEAM
Lennie Scott-Webber, PhD, IIDA, NCIDQ
Director, Global Education Environments,
Steelcase Education
Aileen Strickland, MS, NCIDQ,
LEED AP Design Researcher
Steelcase Education
Laura Ring Kapitula, Ph.D.
Assistant Professor, Department of
Statistics, Grand Valley State University
Figure 6: Average Overall Engagement Scores
For Old and New Classrooms: Faculty (n=41)
10
20
30
40
0
0
AverageCompositeScore
PRACTICES SOLUTIONS
24.0
19.1
37.3
38.8
Figure 5: Average Overall Engagement
Scores For Old and New Classrooms:
Students (n=389)
10
20
30
23.2
21.8
34.2
35.5
40
0
0
AverageCompositeScore
PRACTICES SOLUTIONS
Standard (old)
Current (new)
Faculty
Students
ability to be creative
motivation to attend class
ability to achieve a higher grade
engagement in class
PERCENTAGE REPORTING MODERATE OR EXCEPTIONAL INCREASES IN:
0%	20%	 40%	 60%	 80%	100%
Figure 7. Impact of New Classroom
on Student Engagement
6/14 ©2014 Steelcase Inc. All rights reserved. All specifications subject to change without notice.
Trademarks used herein are the property of Steelcase Inc. or of their respective owners.
HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT
With special thanks to our
research collaborators:
Roger Konyndyk, Ph.D.,
Statistician, Steelcase Inc.,
Grand Rapids, Michigan
Kris Magnusson, Ph.D., Dean of
Education, Simon Fraser University,
British Columbia, Canada
Bryan Hiebert, Ph.D., Associate
Professor, Education Psychology &
Leadership, University of Victoria,
British Columbia, Canada
REFERENCES
Altman, I. (1970). Territorial behavior in
humans. An analysis of the concept. In
Spatial behavior of older people. Edited
by Leon Pastalan and Dan Carson.
MI: The University of Michigan. 1-24.
Altman, I. (1975). The environment
and social behavior. CA: Wadsworth.
Appleton, J., Christenson, S.,
& Furlong, M. (2008). Student
engagement with school: critical
conceptual and methodological
issues of the construct. Psychology
in the Schools, 45(5), 369-386.
Blincoe, J. (2008). The age and condition
of Texas high schools as related
to student academic achievement.
(Doctoral Dissertation). Retrieved
from ProQuest. (AAT 3341554).
Durán-Narucki, V. (2008). School
building condition, school attendance
and academic achievement in New
York City public schools: A mediation
model. Journal of Environmental
Psychology, 28, 278-286.
Earthman, G. I. (2004). Prioritization of
31 criteria for school building adequacy.
Baltimore, MD: American Civil Liberties
Union Foundation of Maryland.
Erlauer, L (2003). The brain compatible
classroom: Using what we know about
learning to improve teaching. Alexandria,
VA: Association for Supervision
and Curriculum Development.
Gadermann, A.M., Guhn, M. and
Zumbo, B.D. (2012). Estimating ordinal
reliability for Likert-type and ordinal
item response data: A conceptual,
empirical, and practical guide. Practical
Assessment, Research and Evaluation,
17(3). Retrieved Sept. 25, 2012 from
http://pareonline.net/pdf/v17n3.pdf.
Hall, E.T. (1966). The hidden
dimension. NY: Doubleday Press.
Hiebert, B. (2012). Post-Pre Assessment:
An innovative way for documenting
client change. Guidance Perspectives
Around the World. Available from:
http://iaevg.org/crc/resources.
cfm?subcat=200,202&lang=en
[Accessed 26 October 2013].
Jankowska, M (2007). Use of
creative space in enhancing
students’ engagement. Innovations
in Educations and Teaching
International. 45(3), 271-279.
Jensen, E (2005). Teaching with the
brain in mind, 2nd edition. Alexandria,
VA: Association for Supervision
and Curriculum Development.
Kahu, E, (2011), Framing student
engagement in higher education.
Studies in Higher Education, DOI:
10.1080/03075079.2011.598505.
Kumar, R., O’Malley, P. & Johnston,
L.(2008) Association between physical
environment of secondary schools
and student problem behavior - A
national study, 2000-2003. Environment
and Behavior, 40(4), 455-486.
National Survey of Student Engagement.
(2012). Promoting student learning
and institutional improvement: lessons
from NSSE at 13. Bloomington,
IN: Indiana University Center for
Postsecondary Research.
Schneider, M. (2002). Do school facilities
affect academic outcome? National
Clearinghouse for Educational Facilities.
Retrieved from http://www.ncef.org/
pubs/outcomes.pdf on 5 October 2010.
Scott-Webber, L., Strickland, A., &
Kapitula, L. (2013). Built environments
impact behaviors: results of an active
learning post-occupancy evaluation.
Planning for Higher Education, Vol, 41(5).
Scott-Webber, L., Marini, M., &
Abraham, J. (2000, Spring). Higher
education classrooms fail to meet
needs of faculty and students. Journal
of Interior Design, 26(1), 16-34.
Sommer, R. (1969). Personal space:
The behavioral basis of design.
Englewood Cliffs, NJ: Prentice Hall.
Sommer, R. (1970). Studies
of small group ecology. In RS
Catheart & LA Samovar (Eds.)
Small group communication.
Dubuque, IA: Wm. C. Brown.
facebook.com/SteelcaseEducation twitter.com/SteelcaseEDU youtube.com/SteelcaseTV
Call 800.333.9939 or visit SteelcaseEducation.com

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How Classroom Design Affects Student Engagement

  • 1. Active Learning | Post-Occupancy Evaluation Active Learning Exploring workplace research, insights and trends 360.steelcase.com How Classroom Design Affects Student Engagement WHITE PAPER 1 New data from ongoing Steelcase Education studies shows that classrooms designed for active learning—i.e., where physical space supports a focus on engaging experiences for students and faculty— have a significant effect on student engagement. Improving educational outcomes is a nearly universal goal, but how to achieve it remains a focus of continuing research and debate. The success of any student is influenced by many variables. Academic studies have investigated several of them, from socioeconomic background to internal motivation to the influence of different teaching styles. Still often overlooked or underemphasized is the role of classroom design. Noteworthy studies have been completed in recent years that show factors in the built environment can affect retention, attention, motivation, learning and U.S. universities. A robust survey instrument, titled the Active Learning Post Occupancy Evaluation (AL-POE) tool, was developed specifically for measuring the impact of classroom design on student engagement. Engagement is widely recognized as a highly probable predictor of student success. The results of the beta study and the following term’s aggregated data revealed that classrooms intentionally designed to support active learning increased student engagement on multiple measures as compared to traditional (i.e., row- by-column seating) classrooms. academic achievement, but there have not been reliable post-occupancy evaluations of how different classroom designs affect student success. To address this important gap, a team of Steelcase Education researchers, in collaboration with academic researchers in Canada and the United States, recently completed studies at four Comparisons between old and new classrooms were statistically significant on all 12 measured factors for both instructors and learners (p<0.001).
  • 2. 2 | 360.steelcase.com HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT Active Learning seating (“pre/old”) (See Figure 1: Standard Classroom) to what they experienced in a classroom intentionally designed for active learning—i.e., where physical space supports a focus on engaging experiences for students and faculty (“post/new”). (See Figure 2: Steelcase Advanced Learning Environments) (The AL-POE instrument showed these figures to orient the participant.) The active learning classrooms were furnished with Steelcase’s advanced innovative products and applications for active learning settings: Node® seating (See Figure 3), Verb® , media:scape® and LearnLab™. To determine a relationship between classroom design and the behavioral factors of student engagement, participating faculty members did not receive training from Steelcase on active learning practices. The settings were simply provided for their use as they saw fit. Figure 1: Standard Classroom Figure 2: Steelcase Advanced Learning Environments – 4 Scenarios Verb classroom media:scape classroom Node classroom LearnLab (or media:scape LearnLab) Figure 3: Node Classroom Example EXTENDING WHAT’S KNOWN Sociological and environment behavioral research has established the impact of built environments on various behaviors: territoriality, crowding, situational and personal space. More recently researchers have explored how a learning environment impacts students. The consensus is that learning spaces have physical, social and psychological effects. The Steelcase Education research program was undertaken to build upon and contribute to this growing body of evidence that the learning environment impacts students’ success and engagement is a key predicting factor. THE APPROACH: AN ACTIVE LEARNING POST-OCCUPANCY EVALUATION SURVEY The research was designed to analyze student engagement across multiple measures by asking participants to compare their experiences in a traditional /standard classroom with row-by-column
  • 3. 3 | 360.steelcase.com HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT Active Learning Using a two-step decision-making research method, student and faculty participants simultaneously evaluated their experience in the active learning setting and their previous experience in the traditional classroom; specifically they compared the “pre/old” and “post/new” settings for each metric. Knowing that a robust and reliable tool is key to meaningful, consistent measurement, the research team used a rigorous content analysis process to create the AL-POE questions, synthesizing information from multiple resources including the 2012 National Survey of Student Engagement and published studies in brain science, brain-compatible classrooms, learning research and the impact of classroom design. The external institutional review board, Heartland, reviewed and approved the study’s research protocol. The main body of the resulting evaluation has two sections. Section I (Practices) focuses on active learning practices that elicit engagement in the learning space. Section II (Solutions) measures the effect of the classroom design on these active learning practices. Twelve measurement factors are consistent across the two sections, including: •• collaboration •• focus •• active involvement •• opportunity to engage •• repeated exposure to material through multiple means •• in-class feedback •• real-life scenarios •• ability to engage ways of learning best •• physical movement •• stimulation •• feeling comfortable to participate •• creation of an enriching experience Another set of questions uses a five-point Likert scale to determine perceptions of grades, retention, overall engagement and ability to be creative. Open-ended comments are solicited as a final component of the survey tool. Respondents completed the survey online approximately 6-8 weeks into the term so they had enough time to establish a rhythm of using the space. To ensure adherence to the standards of academic research, the Steelcase Education team worked with third parties: IRB research protocol review, academic researchers and a statistician to analyze and report results. RESULTS: ACTIVE LEARNING CLASSROOMS HAVE A POSITIVE IMPACT ON STUDENT ENGAGEMENT. The combined studies results yielded major findings, all supporting a highly positive and statistically significant impact of active learning classrooms on student engagement: 1) In the universities studied, participants reported that the new classrooms improved active learning practices and had more positive impact on engagement compared to the old classrooms. There were no significant differences in results among participating universities, strengthening the applicability of the findings. To ensure adherence to the standards of academic research, the Steelcase team worked with third-parties: IRB research review protocol, researchers and a statistician to analyze and report results. Two study participants share key insights: “Instead of doing multi-year studies and piloting different approaches, for which we do not have time, we were able to implement proven active learning solutions by leveraging Steelcase Education’s expertise. They are an important partner in proposing and modifying solutions that prove impactful on teaching and learning.” —Michael Olsen Former director of information technology and biosciences and research, University of Minnesota Rochester “The ongoing research study conducted here by Steelcase Education revealed a statistical significance in terms of student engagement between our Interactive Learning Space and traditional classroom layouts. This revelation was a shared perspective from both faculty and students.” —Gary Pavlcechko Former director of The Office of Educational Excellence at Ball State University
  • 4. 4 | 360.steelcase.com HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT Active Learning Figure 4: Analysis of Individual Survey Items (n=386 Students, n=42 Faculty) collaboration focus active involvement opportunity to engage multiple means in-class feedback real-life scenarios ways of learning best physical movement stimulation comfortable to participate enriching experience PRACTICES SOLUTIONS Student Old Classroom Student New Classroom Faculty Old Classroom Faculty New Classroom 100% 80% 60% 40% 20% 0% 20% 40% 60% 80% 100% 100% 80% 60% 40% 20% 0% 20% 40% 60% 80% 100% PERCENT ADEQUATE OR BETTER 2) The majority of students rated the new classroom better than the old classroom on each of the 12 factors. For all of the items in both sections of the evaluation, the differences between old/ pre and new/post ratings were highly statistically significant (p<0.001) for both faculty and students. (See Figure 4) 3) Overall, active learning practices and the impact of the physical space significantly improved in the new classrooms for both students and faculty. In the practices section, average composite scores rose from 23.2 (old/ pre) to 34.2 (new/post) for students, and from 24.0 (old/pre) to 37.3 (new/post) for faculty. In the solutions section, average composite scores rose from 21.8 (old/ pre) to 35.5 (new/post) for students and from 19.1 (old/pre) to 38.8 (new/ post) for faculty. (See Figures 5 and 6) 4) The majority of students and faculty reported that the new classrooms contributed to higher engagement, the expectation of better grades, more motivation and more creativity. A large majority of students self-reported a moderate to exceptional increase in their engagement (84%), ability to achieve a higher grade (72%), motivation to attend class (72%), and ability to be creative (77%). Almost all faculty members reported a moderate
  • 5. 5 | 360.steelcase.com HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT Active Learning to exceptional increase in student engagement (98%), and all perceived a moderate to exceptional increase in student’s ability to be creative (100%). A large majority of faculty reported a moderate to exceptional increase in students’ ability to achieve a higher grade (68%), and a moderate to exceptional increase in students’ motivation to attend class (88%). (See Figure 7) THE BOTTOM LINE: INTENTIONALLY DESIGNING SPACES PROVIDES FOR MORE EFFECTIVE TEACHING AND LEARNING As a result of the development of the evaluation instrument and this managed research program, decision makers at educational institutions, architects and designers can be assured that investments in solutions intentionally designed to support active learning can create more effective classrooms and higher student engagement. Furthermore, there’s now evidence that these classrooms encourage and enable educators to practice active learning methods. Faculty development is still recommended to understand how to leverage the space as a tool for learning. The study also underscores the importance of designing products for educational environments based on insights from rigorous research. All the products used in the new/ post classrooms were developed from Steelcase’s human-centered research process methodology, and this study validates that the evidence-based design protocol helps produce measurable results in use. The Steelcase AL-POE tool developed for this study can now be used to reliably measure the impact of engagement in learning environments, adding to the body of knowledge about the relationship and implications of student engagement and spaces for learning. Initial findings from the study have been published in Planning for Higher Education, a peer-reviewed journal produced by the Society for College and University Planning. Steelcase is continuing this managed research project to build data and gain new insights into how educational environments can be designed and equipped to optimize learning. THE RESEARCH TEAM Lennie Scott-Webber, PhD, IIDA, NCIDQ Director, Global Education Environments, Steelcase Education Aileen Strickland, MS, NCIDQ, LEED AP Design Researcher Steelcase Education Laura Ring Kapitula, Ph.D. Assistant Professor, Department of Statistics, Grand Valley State University Figure 6: Average Overall Engagement Scores For Old and New Classrooms: Faculty (n=41) 10 20 30 40 0 0 AverageCompositeScore PRACTICES SOLUTIONS 24.0 19.1 37.3 38.8 Figure 5: Average Overall Engagement Scores For Old and New Classrooms: Students (n=389) 10 20 30 23.2 21.8 34.2 35.5 40 0 0 AverageCompositeScore PRACTICES SOLUTIONS Standard (old) Current (new) Faculty Students ability to be creative motivation to attend class ability to achieve a higher grade engagement in class PERCENTAGE REPORTING MODERATE OR EXCEPTIONAL INCREASES IN: 0% 20% 40% 60% 80% 100% Figure 7. Impact of New Classroom on Student Engagement
  • 6. 6/14 ©2014 Steelcase Inc. All rights reserved. All specifications subject to change without notice. Trademarks used herein are the property of Steelcase Inc. or of their respective owners. HOW CLASSROOM DESIGN AFFECTS STUDENT ENGAGEMENT With special thanks to our research collaborators: Roger Konyndyk, Ph.D., Statistician, Steelcase Inc., Grand Rapids, Michigan Kris Magnusson, Ph.D., Dean of Education, Simon Fraser University, British Columbia, Canada Bryan Hiebert, Ph.D., Associate Professor, Education Psychology & Leadership, University of Victoria, British Columbia, Canada REFERENCES Altman, I. (1970). Territorial behavior in humans. An analysis of the concept. In Spatial behavior of older people. Edited by Leon Pastalan and Dan Carson. MI: The University of Michigan. 1-24. Altman, I. (1975). The environment and social behavior. CA: Wadsworth. Appleton, J., Christenson, S., & Furlong, M. (2008). Student engagement with school: critical conceptual and methodological issues of the construct. Psychology in the Schools, 45(5), 369-386. Blincoe, J. (2008). The age and condition of Texas high schools as related to student academic achievement. (Doctoral Dissertation). Retrieved from ProQuest. (AAT 3341554). Durán-Narucki, V. (2008). School building condition, school attendance and academic achievement in New York City public schools: A mediation model. Journal of Environmental Psychology, 28, 278-286. Earthman, G. I. (2004). Prioritization of 31 criteria for school building adequacy. Baltimore, MD: American Civil Liberties Union Foundation of Maryland. Erlauer, L (2003). The brain compatible classroom: Using what we know about learning to improve teaching. Alexandria, VA: Association for Supervision and Curriculum Development. Gadermann, A.M., Guhn, M. and Zumbo, B.D. (2012). Estimating ordinal reliability for Likert-type and ordinal item response data: A conceptual, empirical, and practical guide. Practical Assessment, Research and Evaluation, 17(3). Retrieved Sept. 25, 2012 from http://pareonline.net/pdf/v17n3.pdf. Hall, E.T. (1966). The hidden dimension. NY: Doubleday Press. Hiebert, B. (2012). Post-Pre Assessment: An innovative way for documenting client change. Guidance Perspectives Around the World. Available from: http://iaevg.org/crc/resources. cfm?subcat=200,202&lang=en [Accessed 26 October 2013]. Jankowska, M (2007). Use of creative space in enhancing students’ engagement. Innovations in Educations and Teaching International. 45(3), 271-279. Jensen, E (2005). Teaching with the brain in mind, 2nd edition. Alexandria, VA: Association for Supervision and Curriculum Development. Kahu, E, (2011), Framing student engagement in higher education. Studies in Higher Education, DOI: 10.1080/03075079.2011.598505. Kumar, R., O’Malley, P. & Johnston, L.(2008) Association between physical environment of secondary schools and student problem behavior - A national study, 2000-2003. Environment and Behavior, 40(4), 455-486. National Survey of Student Engagement. (2012). Promoting student learning and institutional improvement: lessons from NSSE at 13. Bloomington, IN: Indiana University Center for Postsecondary Research. Schneider, M. (2002). Do school facilities affect academic outcome? National Clearinghouse for Educational Facilities. Retrieved from http://www.ncef.org/ pubs/outcomes.pdf on 5 October 2010. Scott-Webber, L., Strickland, A., & Kapitula, L. (2013). Built environments impact behaviors: results of an active learning post-occupancy evaluation. Planning for Higher Education, Vol, 41(5). Scott-Webber, L., Marini, M., & Abraham, J. (2000, Spring). Higher education classrooms fail to meet needs of faculty and students. Journal of Interior Design, 26(1), 16-34. Sommer, R. (1969). Personal space: The behavioral basis of design. Englewood Cliffs, NJ: Prentice Hall. Sommer, R. (1970). Studies of small group ecology. In RS Catheart & LA Samovar (Eds.) Small group communication. Dubuque, IA: Wm. C. Brown. facebook.com/SteelcaseEducation twitter.com/SteelcaseEDU youtube.com/SteelcaseTV Call 800.333.9939 or visit SteelcaseEducation.com