design-based implementation research to study and drive an undergraduate stem education improvement...
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Design-Based Implementation Research to Study and Drive an Undergraduate
STEM Education Improvement Project at Oregon State
June 3, 2015SMTI 2015 National Conference
Jana Bouwma-Gearhart, Kathy Quardokus Fisher, Ann Sitomer, David Little, John Ivanovitch, Christina Smith, Milo Koretsky
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Theory of action: Catalyze broad institutional change with respect to the use of Evidence-Based Instructional Practices (EBIPs) in large enrollment STEM classrooms through communities of practice (Wenger, 2009).
Research goal: Study changes to STEM instructional practices and pedagogical knowledge via
Micro-level educators’ and students’ practicesMeso-level units’ routines, structures and
cultureMacro-level institutional routines, structures,
and culture
DBIR (Penuel et al., 2011)Multiple stakeholdersPersistent problems of practiceIterative and collaborative design
Design-Based Implementation Research (DBIR)
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Events Analysis
Theory of
Action
Enhancing STEM Education at Oregon State University (ESTEME@OSU)
Within unitsCommunities of Practice (CoP)Conference participationInstruction-related data
consultation
Across unitsCommunity of Practice (CoP)Collaboration with:
Center for Teaching and Learning (CTL)
STEM education research center
Other STEM change initiatives
Events
Tenure track and non-tenure track facultyGraduate teaching assistants (GTA) and undergraduate learning
assistants (LA)Chairs, deans, and vice provosts
Participants
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Identifying a Model for Organizational Change Research Needs: Interpret a complicated system
Individual practices (cognition and action) The social/cultural context Aspects of their dynamic interaction
View of practitioners in light of change initiatives meant to foster more effective decision-making and other professional practices (Fumasoli & Stensaker, 2013)
“Building of [interventions] from practice” (Honig, 2003)
Past studies of organizational change Focus on policy adoption with fidelity (Fumasoli & Stensaker,
2013) Focus on mostly the macro scale or micro scale (Trowler et al.,
2005; Trowler & Cooper, 2002)
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Theoretical Frameworks
Organizational LearningCreating, retaining, or transferring
knowledge in an organization
Cultural-Historical Activity TheoryAn organization understood as a
collective, artifact-mediated, and object-oriented activity system
Cultural ModelsShared information internalized through
socialization, and used for guiding behavior in a complicated environment
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Events
Macro - Institution
Meso - Department
Micro - Individual
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Center for Teaching and
Learning EventsAcross Units CoP
STEM Center Events
Project Synthesis
CoP on Specific Projects
Conference Participation
Instruction-related Data Consultation
Conference Participation
Organizational Structure
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Data SourcesEvents
Macro - Institution
Meso - Department
Micro - Individual
Center for Teaching and
Learning Events
Across Units CoP
STEM Center Events
Project Synthesis
CoP on Specific Projects
Conference Participation
Organizational Structure
Instruction-related Data Consultation
Conference Participation
Administrative Interviews
Policy Documents
Project Team Interviews
Event and CoP Observations
Project Team
Interviews
CoP Observatio
nsAdministrative and Educator
Interviews GTA Practices Observation Educato
rs Survey
Educator Interviews
Educators Survey
Classroom Observations
Student Data
Events
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Center for Teaching and
Learning Events
Across Units CoP
STEM Center Events
Project Synthesis
CoP on Specific Projects
Conference Participation
Instruction-related Data Consultation
Conference Participation
Data Sources
Administrative Interviews
Policy DocumentsProject Team Interviews
Event and CoP Observations
Project Team
Interviews
CoP Observatio
ns
Administrative and Educator
Interviews
GTA Practices Observation
Educators Survey
Educator Interviews
Educators Survey
Classroom Observations
Student Data
Macro - Institution
Meso - Department
Micro - Individual
EventsCollect Data
based upon Theoretical Frameworks
Analysis based upon
Theoretical Frameworks
Info
rm
Theory of
ActionDesign
Design-Based Implementation ResearchOrganizational Structure
Macro - Institution
Meso – Unit
Organizational Learning (Argote & Miron-Spektor, 2011)
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Learning process: As an organization accomplishes tasks (experience) it interacts with its context and “learns” by creating, retaining, or transferring knowledge.
Context is structure, culture, technology, identity, memory, goals, incentives, strategies, etc.
Active: members and toolsLatent: structure and culture
Knowledge Presented as: individuals’ schemas, routines, and the range of potential behaviorDistributed routines and cognition: Data sources and analysis
Educator and administrator interviews – qualitative analysisEducator surveys – social network analysis
Analyzed at the macro and/or meso level and informed by the micro level
Macro - Institution
Meso – Unit
Cultural-Historical Activity Theory (CHAT) and Expansive Learning (Engestrom, 2001)
Learning Process: Expansive learning is driven by contradictions and accomplished when the object and motive are radically re-conceptualized (zone of proximal development of the activity)
Context: An activity system is collective, artifact-mediated, and object-oriented. It contains subjects, tools and signs, objects, rules, community, division of labor.
Activity system history is needed to understand a system’s problems and potential.Historical context of division and labor: Data sources and analysis
Educator and administrator interviews – qualitative analysisPolicy documents – content analysis
Analyzed at the macro and/or meso level and informed by the micro level
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Macro - Institution
Meso – Unit
Affordances of CHAT/Expansive Learning and Organizational Learning
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Topic Organizational Learning
CHAT/Expansive Learning
Sources of change and development
Context interacts with experience
Contradictions
Types of Change Creating, retaining or transferring knowledge
Mini-learning or expansive learning
Context Active: Members, tools and tasks
Subjects, tools and signs, objects
Latent: which individuals are members, what tools they have and which tasks they perform
Rules, community, division of labor
History Lens by which changes may be identified
Lens by which changes may be understood
Micro/Meso/Macro Incorporates what is happening at the micro level, but focusing more at meso and macro level
Could be at any level, but tends to be based around an object at the meso level
Micro - Individual
Cultural Models (Ferrare & Hora, 2014)
Shared information internalized through socialization within and between groups.
Norms and practices are adopted, adapted and enacted by individuals to function in a complex environment Cultural models of teaching and learning: Data sources
and analysis Educator and administrator interviews – qualitative analysis Classroom observations - incidence/repertoires of practice
Analyzed at the micro level based upon individual’s judgments, perceptions and explanations of specific situations.
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Events
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Center for Teaching and
Learning Events
Across Units CoP
STEM Center Events
Project Synthesis
CoP on Specific Projects
Conference Participation
Instruction-related Data Consultation
Conference Participation
Data Sources
Administrative Interviews
Policy DocumentsProject Team Interviews
Event and CoP Observations
Project Team
Interviews
CoP Observatio
ns
Administrative and Educator
Interviews
GTA Practices Observation
Educators Survey
Educator Interviews
Educators Survey
Classroom Observations
Student Data
Macro - Institution
Meso - Department
Micro - Individual
EventsCollect Data
based upon Theoretical Frameworks
Analysis based upon
Theoretical Frameworks
Info
rm
Theory of
ActionDesign
Design-Based Implementation Research
Events
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Center for Teaching and
Learning Events
Across Units CoP
STEM Center Events
Project Synthesis
Conference Participation
Instruction-related Data Consultation
Conference Participation
Data Sources
Administrative Interviews
Policy DocumentsProject Team Interviews
Event and CoP Observations
GTA Practices Observation
Project Team
Interviews
CoP Observatio
ns
Administrative and Educator
Interviews
Educators SurveyEducator
Interviews
Classroom Observations
Student Data
Macro - Institution
Meso - Department
Micro - Individual
Analysis Examples
CoP on Specific Projects
Educators Survey
Potential for Organizational Learning in Networks Research Question: What is the potential for organizational
learning at one research university regarding issues of teaching and learning/curriculum and instruction?
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Organizational learning via transfer
may be difficult because B_12 is not a
participant
CHAT question: How can the activity system of the unit make sense of the disconnect between
B_04 and B_12
Legend:Non participant
Participant
Cultural models question: To what
extent do individuals with many social connections have
shared cultural models?
DBIR: Given these analyses, what theory of action may be used to design events to improve the potential for
organizational learning?
Faculty Teaching Climate Survey Data
Ten items piloted from Knoreck (2012)
Two items omitted due to lack of fit in Confirmatory Factor Analysis
Analysis of eight climate itemsN = 140 respondentsReliability: α = .915Unidimensional factor accounted for
68.6% of the variance
Scale scores produced using item response theory
Equal variances assumed between climate scores of units,
Significant differences between means of climate scores of units,
Differences between units are of “large” effect size, η2
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Item Content (Knorek, 2012)
Share teaching resources about how to improve their teaching with colleagues
Discuss the challenges they face in the classroom with colleagues
Consult with each other on teaching related issuesAre encouraged by department administrators (e.g. department chair) to communicate with colleagues about their teaching
Regularly discuss teaching related issues with department leadershipValue faculty teaching development services available on campus as a way to enhance their teachingBelieve that engaging in teaching improvement opportunities is part of their jobProvides new faculty with teaching development opportunities and resources
DBIR Theory of Action with Low Climate Score
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Legend:Non participant
Participant
Focus on the core group that has participated
and discusses teaching regularly despite the
low climate score
Strengths and Limitations of our Project and Meld of Theoretical Frameworks
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Strengths Limitations
Our projects capacity 2 faculty members, 3 postdocs, 2 graduate students
Are there too many details, as a result is the larger picture lost?
Multi-perspective of various modelsIndividuals, context, and interactions between the two
When do we stop considering new frameworks?
Potential for triangulation Will other change agents be able to use our model with less capacity for analysis?
Discussion and Questions
• How are you documenting and researching change in response to STEM education improvement initiatives in your institution or related organizations?
• What methodologies are you employing?
• What theoretical constructs concerning organizations and change guide your study?
• What is our model over-privileging/under-privileging?
• Per this discussion, what are some takeaways that can inform your plans for studying organizational change?
• What in our model may be most applicable, meaningful or replicable to your plans to study and document change?
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DEPARTMENT CLIMATEIRT Item Parameters
Item ContentItem a b1 b2 b3 b4 b5
ShareRes 2.94 -2.16 -1.53 -1.07 -0.01 1.07 Share teaching resources about how to improve their teaching with colleagues
Challenges
2.33 -2.93 -1.84 -1.49 -0.43 1.16 Discuss the challenges they face in the classroom with colleagues
Consult 2.51 -2.57 -1.89 -1.22 -0.24 1.1 Consult with each other on teaching related issues
Encouraged
2.63 -2.11 -1.27 -0.74 0.04 1.05Are encouraged by department administrators (e.g. department chair) to communicate with colleagues about their teaching
Discuss 1.93 -2.85 -1.06 -0.52 0.35 1.77 Regularly discuss teaching related issues with department leadership
Value 1.71 -1.81 -0.92 -0.21 1.04 1.94 Value faculty teaching development services available on campus as a way to enhance their teaching
Believe 1.69 -2.3 -1.36 -0.51 0.4 2.04Believe that engaging in teaching improvement opportunities is part of their job
NewFaculty
1.44 -2.21 -1.57 -0.77 0.59 2.01 Provides new faculty with teaching development opportunities and resources
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CLIMATE SCORES
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ReferencesArgote, L., & Miron-spektor, E. (2011). Organizational Learning : From Experience to Knowledge.
Organization Science, 22(5), 1123–1137.
Engeström, Y. (2001). Expansive learning at work: Toward an activity theoretical reconceptualization. Journal of education and work, 14(1), 133-156.
Ferrare, J. J., & Hora, M. T. (2014). Cultural Models of Teaching and learning in Math and science: exploring the intersections of Culture, Cognition, and Pedagogical situations. The Journal of Higher Education, 85(6), 792-825.
Fumasoli, T., & Stensaker, B. (2013). Organizational studies in higher education: A reflection on historical themes and prospective trends. Higher Education Policy, 26(4), 479-496.
Honig, M. I. (2003). Building policy from practice: District central office administrators' roles and capacity for implementing collaborative education policy. Educational Administration Quarterly, 39(3), 292-338.
Knorek, J. K. (2012). Faculty teaching climate: Scale construction and initial validation. Unpublished PhD dissertation, University of Illinois, Urbana, IL
Penuel, W. R., Fishman, B. J., Haugan Cheng, B., & Sabelli, N. (2011). Organizing Research and Development at the Intersection of Learning, Implementation, and Design. Educational Researcher, 40(7), 331–337. doi:10.3102/0013189X11421826
Trowler, P. & Cooper, A. (2002) Teaching and learning regimes: implicit theories and recurrent practices in the enhancement of teaching and learning through educational development programmes, Higher Education Research and Development, 21(3), 221–240.
Trowler, P et al. (2005). Freeing the chi of change: the Higher Education Academy and enhancing teaching and learning in higher education. Studies In Higher Education, 30(4), 427-444.
Wenger, E. (2009). Communities of practice. Communities, 22, 57. 23
Institutional culture models, structures, routines, synergy across projects, artifacts of
organizational history, leadership and other
resourcesExternal organizational
influences also accounted for
Community activities and networks, distributed
cognition/routines/felt affordances regarding
pedagogy and improvements
Community activities and networks, distributed
cognition/routines/felt affordances regarding pedagogy
and improvementsDepartmental culture models, decision-making, training and
other resources regarding pedagogy
Educators’ schemas, sensemaking, routines, felt
affordances and felt self-determination regarding
pedagogical practices/knowledge/commitmen
ts/ change activities/individual improvements
MESO
Interdisciplinary communities of practice concerning projects’ targeted evidence-based
instructional practices and community-identified problems; Informal socials
Project Activities
Data Sources (and analytics)
Intradisciplinary communities of practice concerning community-identified problems;
Disciplinary conference participation
Synergy with projects/stakeholders/suborganizations
to revise structures to better reward/support pedagogical
innovation and interdisciplinary work
Data of educators’ practices and student impacts/factors provided for reflection;
Support for individual pedagogical innovation (leadership)
Administrator interviews (qualitative inductive analysis)
Policy analysis (content analysis)Project(s) leadership interviews (qualitative
inductive analysis)
Community of practice observations (distributed routines/cognition analysis)Educator and administrator interviews
(distributed routines/cognition analysis)Project leadership interviews (qualitative
inductive analysis)
GTA practices and development video (discourse analysis)
Educator and administrator interviews (qualitative inductive analysis)
Educator surveys (department climate analysis, social network analysis,
distributed routines/cognition analysis)
Educator interviews (qualitative inductive analysis)Educator surveys (knowledge/incidences self-report of
practices, scaled metrics for determination, social network analysis)
Class observations (incidence/repertoires of practice, characterization of students’ cognitive demand)
Student data (qualitative and quantitative formative analysis)
Course artifacts (document and content analysis)
MACRO
MICRO
Possibilities for and evidence of organizational status and change centered in Cultural M
odels Theory, Organizational Learning, and Cultural H
istorical Activity Theory Fram
eworks
Design-Based Implementation Research To Study and Drive An Undergraduate STEM Education Improvement Project at Oregon State
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