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Changing Classroom Designs: Easy;
Changing Instructors’ Pedagogies: Not So Easy…
Nathaniel Lasry*§, Elizabeth Charles˜§, Chris Whittaker ˜, Helena Dedic¶§ and
Steven Rosenfield¶§
* Department of Physics, John Abbott College, Montreal Canada H9X 3L9 and
˜ Department of Physics, Dawson College, 3040 Rue Sherbrooke O, Montreal Canada H3Z 1A4
¶ Department of Physics, Vanier College, Montreal, Canada H4L 3X9 and †
§ Center for the Study of Learning and Performance, Concordia University, Montreal, Canada H3G 2V8 ˜
Abstract. Technology-rich student-centered classrooms such as SCALE-UP and TEAL are designed to actively
engage students. We examine what happens when instructors adopt the classroom but not the pedagogy that goes
with it. We measure the effect of using socio-technological spaces on students’ conceptual change and compare
learning gains made in groups using different pedagogies (active learning vs. conventional instruction). We also
correlate instructors’ self-reported instructional approach (teacher-centered, student-centered) with their classes’
normalized FCI gains. We find that technology-rich spaces are only effective when implemented with student-
centered active pedagogies. In their absence, the technology-rich classroom is not significantly different from
conventional teacher-centered classrooms. We also find that instructors’ self-reported perception of student-
centeredness accounts for a large fraction of the variance (r2=0.83) in their class’ average normalized gain.
Adopting student-centered pedagogies appears to be a necessary condition for the effective use of technology-rich
spaces. However, adopting a new pedagogy seems more difficult than adopting new technology.
Keywords: Classroom design, architecture, SCALE-UP, TEAL, technology, pedagogy.
PACS: 01.10.Fv, 01.30.Cc, 01.30.lb, 01.40.-d, 01.40.Fk, 01.40.gb, 01.40.jh, 01.50
INTRODUCTION
Traditional classroom settings are teacher-centered.
They place instructors at the front of the classroom
with all students facing the instructor. This traditional
classroom architecture is implicitly based on a
‘transmission’ model of learning: an expert transmits
knowledge to attentive novices. Much of the physics
education literature has been devoted to developing
student-centered pedagogies1 that are shown to be
more effective than traditional teacher-centered
approaches such as lecturing2, 3. Classroom lectures
have been particularly criticized, at least since Blight’s
1972 book: What’s the use of Lectures?4 Initially
constrained to teacher-centered class architectures,
pedagogical approaches were developed to enable
student-centered learning in these settings. For
instance, approaches such as Peer Instruction3, 5-7 were
developed to engage students in a lecture hall and
enable them to co-construct knowledge by pairing and
sharing their conceptions. These student-centered
active-learning approaches are quite effective, despite
being constrained to teacher-centered classroom
architectures. Classrooms can be redesigned to fully
support student-centered active collaboration. Among
designs that have been well documented to support
student centered pedagogies are Student-Centered
Activities for Large Enrollment Undergraduate
Programs (SCALE-UP)8, 9 at North Carolina State
University and Technology Enabled Active Learning
(TEAL) at MIT10, 11. We choose not to distinguish
between SCALE-UP, TEAL and the implementation
of the classroom design that we studied. We focus on
the similarities between these architectures and
collectively call these designs socio-technological
spaces because the technology facilitates social
collaboration and the co-construction of knowledge.
In this study, a socio-technological space was
presented to instructors as a classroom architecture
that facilitates collaborative approaches and more
generally student-centered pedagogies. However, a
number of instructors that adopted the socio-
technological classroom did not effectively adopt the
pedagogy it was designed to support. We examine
what happens when instructors adopt the technology-
rich classroom but not the student-centered pedagogy
it supports.
STUDY DESIGN
We compare two classroom architectures used with
two types of pedagogy. Classrooms were either
redesigned socio-technological spaces (e.g. TEAL) or
traditional teacher-centered classrooms. Pedagogies
were either student-centered or conventional teacher-
centered. Researchers assisted a few classes from each
of the six participating instructors to determine
whether the pedagogies used were conventional or
student-centered. The six participating instructors were
also asked to complete a self-report instrument on how
teacher-centered or student-centered their instruction
was. This instrument, the Approaches to Teaching
Inventory (ATI)12 is composed of 22-items that can be
broken down into two sub-scales – (1) conceptual
change/student focused (CCSF) and (2) information
transmission/teacher focused (ITTF). Each subscale
comprises 11 items. ATI results were used along with
researchers’ observations to establish where teachers
might be positioned along a continuum of teacher-
centered to student-centered.
Students participating in this study were enrolled in a
first semester introductory mechanics course.
Students’ conceptual learning was assessed using the
Force Concept Inventory13 during the first and last
week of the term. We then calculated average
normalized gains for each section2. We also performed
a complementary analysis of covariance (ANCOVA)
to determine whether groups differed in FCI scores at
the end of the semester (post-test), taking their
incoming (pre-test) scores as a covariate. FCI data
from three years were aggregated - F08, F09 and F10.
In total we collected data from 214 students in the four
groups examined (see Table 1). Finally, we examine
the relationship between the ATI (instructors’ self-
reported student-centeredness and teacher-
centeredness) and the normalized gain for each
instructor’s group.
TABLE 1. Number of students in four groups studied
Socio-Tech
Classroom
Conventional
Classroom
StudentCentered
ActiveLearning
56
49
Teacher-centered
Instruction
51
58
RESULTS
We begin by comparing the average normalized gains
obtained by students in Active Learning versus
traditional teacher-centered instruction. As expected2,
we find that Active Learning pedagogies produce
statistically greater learning gains than traditional
teacher-centered pedagogies. When comparing
classroom designs, we find no statistical difference
between the average normalized gains obtained by
students in socio-technological classrooms and the
gains obtained in conventional classrooms settings.
However, an interaction seems to be present. Socio-
technological classrooms architectures yield both the
greatest and smallest average normalized gains.
Indeed, the largest normalized gains are found in
socio-technological classrooms that use Active
Learning pedagogies; The smallest normalized gains
are found in socio-technological spaces that use
traditional teacher-centered instruction. Socio-
technological spaces are not effective in of themselves.
They effectively support Active Learning pedagogies
but are ineffective at best when used with traditional
teacher-centered instruction.
FIGURE 1. Active Learning pedagogies produce larger
normalized gains, regardless of classroom design. Classroom
designs do not significantly differ from each other. Largest
gains are found in socio-technological designs that use
Active Learning. Smallest normalized gains are found in
socio-technological designs that use traditional teacher-
centered pedagogies.
We also analyze the correlation between instructors’
self-reported ATI subscales (CCSF and ITTF scales)
and the average FCI gain for their class. We find a
surprisingly high correlation between the student-
centeredness scale (CCSF) and the average FCI
normalized gain for their class (r = 0.91). In contrast,
instructors’ perceived teacher-centeredness (ITTF
scale) correlates weakly with FCI gains (r = 0.33).
These results suggest that a large part of the variance
(R2=0.83) in average FCI gain for a class can be
explained by the instructor’s perception of student-
centeredness.
FIGURE 2. Instructors’ self-reported student-centeredness
(CCSF) is strongly correlated (r = 0.91) to their class’
average FCI gain.
However, the instructors’ degree of teacher-
centeredness does not seem to impact students’
conceptual change. Indeed, the instructors (self-
reported) ITTF score accounts for a small amount of
variance (r2 = 0.11) in their class’ average FCI
normalized gain.
DISCUSSION
When designing technology-rich classrooms, teachers
and administrators often assume that the technology
will enhance students’ learning. Empirical studies of
technology-rich student-centered spaces have shown
benefits such as more meaningful construction of
knowledge and deeper understanding8, 10. These
studies document the use of technology-rich
classrooms with the student-centered pedagogies they
have been designed to support. To our knowledge, no
studies have explored the use of socio-technological
spaces in the absence of the student-centered pedagogy
they are designed to support.
Our results show the primacy of pedagogy: active
learning pedagogies produce larger normalized gains
than teacher-centered pedagogies, regardless of the
classroom architecture. Socio-technological classroom
architectures are designed to enhance the effect of
student-centered pedagogies. Hence, the effective use
of these socio-technological environments requires the
adoption of student-centered active learning
approaches. Instructors and administrators interested
in adopting technology-rich spaces must be aware of
the need to adopt active learning pedagogies. This
finding can be viewed in light of past findings on
educational technology, namely that technology itself
is not a surrogate for good pedagogy14, 15. For instance,
Peer Instruction has been implicitly associated with the
use of wireless clickers in classrooms. Yet, Peer
Instruction works equally well without clickers, using
flashcards for instance14. When used in support of
learners’ effort and not merely to present content,
recent meta-analyses show that technology can be an
effective learning tool 16.
When used with a teacher-centered pedagogy, socio-
technological environments yield the smallest
normalized gains of all four groups. This result might
be explained by the mismatch between the classroom
architecture and the implicit instructional model it
supports. Lecture-halls are designed to support
teacher-centered lecturing. Socio-technological spaces
are designed to support student-centered pedagogies.
One may have expected that socio-technological
spaces would be more effective than lecture halls even
for lectures because of the many affordances offered
by the technology. We find that traditional classrooms
are better suited (albeit marginally) for lectures. This
somewhat counter-intuitive result can be explained by
the uncanny observation made by one of the
researchers. Our socio-technological spaces feature
workstations organized in round pod-like
configuration seating four students, with one computer
for every two students. Being seated in circular
arrangements, students are no longer facing the ‘front’
of the classroom. On one occasion, a researcher was
observing a student asking a teacher-centered
instructor a question. Although the question was
pertinent to the entire group, the instructor moved to
the former front of the classroom and began to address
the group as a whole. However, being seated in
circular arrangements, most of the students were no
longer facing the instructor and were therefore
unaware of a possible learning opportunity. Together
with the data shown in Figure 1, this suggests that
socio-technological environment may hurt students if
used with teacher-centered pedagogies.
Survey results for the six participating instructors on
the ATI12 revealed interesting findings concerning
their self-reported perceptions of how information
transmission/teacher focused (ITTF) and how
conceptual change/student focused (CCSF) their
0.0#
1.0#
2.0#
3.0#
4.0#
5.0#
6.0#
rWorld rEffort eMediate
% of total coded statments
Student's Epistemic Beliefs AL group
Comp.
instruction was. We find a surprisingly high
correlation (r = 0.91) between normalized gain and
self-reported student-centeredness (CCSF) but not so
large (r = 0.33) with teacher-centeredness (ITTF). Our
first surprise is that instructors do not view teacher-
centeredness and information-transfer as orthogonal to
being student-centered conceptually-focused. What is
more striking is the finding that a self-reported
instrument correlates with a measure, not of the
teachers themselves but of their students’ learning. We
find this result interesting and would welcome
replications.
CONCLUSION
Instructors and administrators are often attracted to the
newest educational technologies. However, for an
educational technology to be adopted effectively, the
pedagogical model it supports should also be adopted.
Our results show that socio-technological classroom
architectures are only effective when implemented
with student-centered active-learning pedagogies.
Much support should be offered to instructors adopting
new socio-technological environments because
adopting the newest educational technology may be
easier than adopting the pedagogy it is designed to
facilitate.
ACKNOWLEDGMENTS
This study was supported by a Quebec Ministère de
l’Education Loisirs et Sports grant through the
Programme d’Aide a la Recherche sur l’Enseignement
et l’Apprentissage (PAREA, grant# PA 2009-005).
Individual researchers also acknowledge support from
their institutions John Abbott and Dawson Colleges as
well as support from the Center for the Study of
Learning and Performance.
REFERENCES
1. L. McDermott and E. Redish, American Journal of
Physics 67, 755 (1999).
2. R. R. Hake, American Journal of Physics 66 (1),
64-74 (1998).
3. E. Mazur, Peer instruction : a user's manual.
(Prentice Hall, Upper Saddle River, N.J., 1997).
4. D. Blight, (Harmondsworth, England: Penguin,
1972).
5. N. Lasry, E. Mazur and J. Watkins, American
Journal of Physics 76 (11), 1066-1069 (2008).
6. C. Crouch, J. Watkins, A. Fagen and E. Mazur, in
Reviews in Physics Education Research, edited by
E. F. Redish and P. J. Cooney (2007).
7. C. Crouch and E. Mazur, American Journal of
Physics 69 (9), 970-977 (2001).
8. R. J. Beichner, J. M. Saul, D. S. Abbott, J. Morse,
D. Deardorff, R. J. Allain, S. W. Bonham, M.
Dancy and J. Risley, Research-based reform of
university physics 1 (1), 1ñ42 (2007).
9. R. J. Beichner and E. R. I. Center, Introduction to
SCALE-UP: Student-centered activities for large
enrollment university physics. (US Dept. of
Education, Office of Educational Research and
Improvement, Educational Resources Information
Center, 2000).
10. Y. J. Dori and J. Belcher, The Journal of the
Learning Sciences 14 (2), 243-279 (2005).
11. Y. J. Dori, J. Belcher, M. Bessette, M. Danziger,
A. McKinney and E. Hult, Materials Today 6 (12),
44-49 (2003).
12. K. Trigwell and M. Prosser, Educational
Psychology Review 16 (4), 409-424 (2004).
13. D. Hestenes, M. Wells and G. Swackhamer, The
Physics Teacher 30 (3), 141-158 (1992).
14. N. Lasry, The Physics Teacher 46, 242 (2008).
15. E. Mazur and N. Lasry, in 2009 AAPT Winter
Meeting (Chicago, IL, 2009).
16. R. M. Tamim, R. M. Bernard, E. Borokhovski, P.
C. Abrami and R. F. Schmid, Review of
Educational Research 81 (1), 4-28 (2011).