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Instructional Design for Online Learning:
Are Pre-Service Teachers Prepared?
VERA S. WEBER
Topic
 This study seeks to understand and describe how college and
universities offer instructional design within their undergraduate
teacher education programs to meet the growing demand for
online learning in K-12 school systems.
Statement of the Problem
 The K-12 public school system is creating a high demand for
courses offered through online learning
(Watson, Murin, Vashaw, Gemin, & Rapp, 2013).
 School systems are turning to the knowledge of subject
matter experts, or classroom teachers in this case, to create
and design online learning environments (Project
Tomorrow, 2011).
 There is a need for teachers who have knowledge and skills in
instructional design (Picciano & Seaman, 2009)
 Teacher education programs will need to equip all teachers
with the ability to design, deliver, and support K-12 online
learning (Barbour, Siko, Gross, & Waddell, 2013)
Purpose
 The purpose of the proposed qualitative, multi-case study is
to understand and describe undergraduate educational
programs offered through Midwestern colleges and
universities in order to determine how these programs strive
to prepare pre-service teachers for designing online learning
environments that implement instructional design principles,
models, and strategies.
Research Questions
 How do pre-service teachers in undergraduate preparatory
programs learn instructional design competencies, including
knowledge, skills, and attitudes needed to deliver online
learning programs?
 What are the titles of programs, specific courses, and
objectives within courses in undergraduate teacher
preparatory programs that address instructional design theory,
models, or strategies and specifically their application to
online learning?
Theories Supporting this
Research
 Instructional Design Theory: A prescriptive theory
that recommends a specific action to achieve the
goal of instruction (Christensen & Osguthorpe, 2004;
Smith & Ragan, 2005)
 Constructivist Design Theory: A learning theory that is
based on three principles
 1) learning comes from interpretations of personal
experiences which
 2) exist in realistic and relevant situations and
 3) include explorations of multiple perspectives
(Richey, Klein, & Tracey, 2011).
Qualitative, Multi-Case Study
Yin, R. K. (2009). Case study research design and methods, (4th ed.). Los Angeles, CA: Sage
Yin’s model for conducting case study research
Prepare
Collect
AnalyzeShare
DesignPlan
Qualitative, Multi-Case Study
Yin, R. K. (2009). Case study research design and methods, (4th ed.). Los Angeles, CA: Sage
Yin’s model for conducting case study research
Field Test
Documents
IRB Approval
Multiple
sources of
evidence
Organize data
Maintain
chain of
evidence
Rely on Theory
and Literature
Use an
analytic
technique
Display data
Review and
Re-write
Display
evidence
Compose
textual and
visual
materials
Define Unit of
Analysis
Develop
Theoretical
Propositions
Define Case
Study Quality
Scientific
Merit Review
Plan
Research Design
 Target Population: Pre-service Teacher Preparatory programs
 Sampling method: Purposive
 Sample Size: 3-5 teacher education programs in Minnesota
 Candidate Pool: 4-5 participants from each research site
 Maximum Variation Strategy: Privately or Publicly funded institutions in
diverse geographical locations
 Recruitment: Letters to Department Chairs of Minnesota Teacher
Education Programs, Snowball Strategy, Posting a Recruitment Flyer
Data Collection
 Feedback from Pre-Qualifying Questionnaire
 Face-to-face or telephone interviews recorded using Audacity
or similar software, transcribed, and reviewed for accuracy by
participants
 Documents: syllabi, textbooks, course catalogs
 Physical Artifacts from institution’s website
 Optional, self-administered classroom observation by faculty
member
Sources of Evidence for triangulation
Triangulated Sources of
Evidence
Interviews
Information from the institution’s website
Faculty
Pre-Service Students
Former Students working
in an online environment
Physical Artifacts
Examples from student projects
Education Department Chair
Optional, Self-administered
classroom observations
Documents
Course Catalogs
Syllabi
Textbooks
Course Materials
Data Analysis
Within Case
Yin’s (2011) Five Phase Process for Analysis
 Compile Data – organizing field notes and other coded data
collected for each case
 Dissemble Data – Develop categories and themes and
reorganize coded data.
 Reassembling Data - Creating display matrices or arrays
 Interpreting Data - Analysis
 Concluding – Making conclusions about the data and findings
Data Analysis:
Cross Case Analysis
 Assemble analyses from individual case studies
 Develop display matrices within each case study and across
cases (Miles & Huberman, 1994)
 Examine the emerging categories and themes based on the
theoretical proposition of the case study (Yin, 2009)
 Use Nvivo 10 database software to organize data collected
from transcribed interviews, self-administered observations,
documents, and website information
DataCollectionPlan
Goal:
Walk in Commencement August 16, 2014
 End of Spring Quarter: June 13, 2014
 Finalize Chapter 3
 Complete Data Collection and Analysis
 Work on Chapters 4 & 5 during break
 Summer Quarter
 First Draft of Chapters 4 & 5 submitted first week of
Summer Quarter
 Apply for graduation
 Complete Chapters 4 & 5
 Gain Mentor Approval for Chapter 3, 4, & 5
(Milestone 9)
Questions
References
Watson, J., Murin, A., Vashaw, L., Gemin, B., & Rapp, C. (2011). Keeping pace with K-12 online learning:
An annual review of policy and practice. Sammamish, WA: Evergreen Education Group
Project Tomorrow. (2011). Learning in the 21st century: 2011 trends update. Irvine, CA: Project
Retrieved from http://www.blackboard.com/CMSPages/GetFile.aspx?guid=f68cca85-a863-43c9-
9dbd-8ff4439b87b3
Tomorrow.
Picciano, A. G., & Seaman, J. (2009). K-12 online learning. Retrieved from
http://155.48.10.202/Academics/Documents/babson-survey-research-group/k-12-online-learning-
2008.pdf
Barbour, M. K., Siko, J., Gross, E., & Waddell, K. (2013). Virtually unprepared: Examining the preparation
of K-12 online teachers. In R. Hartshorne, T. Heafner, & T. Petty (Eds.), Teacher education programs
and online learning tools: Innovations in teacher preparation (pp. 60-81). Hershey, PA: Information
Science Reference. doi:10.4018/978-1-4666-1906-7.ch004
Christensen, T. K., & Osguthorpe, R. T. (2004). How do instructional-design practitioners make instructional-
strategy decisions? Performance Improvement Quarterly, 17(3), 45-65. doi:10.1111/j.1937-
8327.2004.tb00313.x
Smith, P. L., & Ragan, T. J. (2005). Instructional design. Hoboken, NJ: John Wiley & Sons.
Richey, R. C., Klein, J. D., & Tracey, M. W. (2011). The instructional design knowledge base. New York, NY:
Routledge
Yin, R. K. (2009). Case study research design and methods, (4th ed.). Los Angeles, CA: Sage
Miles, M. B. & Huberman, A. M. (1994). Qualitative Data Analysis (2nd ed.). Thousand Oaks, CA: Sage.

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Are Pre-Service Teachers Prepared for Online Learning Design

  • 1. Instructional Design for Online Learning: Are Pre-Service Teachers Prepared? VERA S. WEBER
  • 2. Topic  This study seeks to understand and describe how college and universities offer instructional design within their undergraduate teacher education programs to meet the growing demand for online learning in K-12 school systems.
  • 3. Statement of the Problem  The K-12 public school system is creating a high demand for courses offered through online learning (Watson, Murin, Vashaw, Gemin, & Rapp, 2013).  School systems are turning to the knowledge of subject matter experts, or classroom teachers in this case, to create and design online learning environments (Project Tomorrow, 2011).  There is a need for teachers who have knowledge and skills in instructional design (Picciano & Seaman, 2009)  Teacher education programs will need to equip all teachers with the ability to design, deliver, and support K-12 online learning (Barbour, Siko, Gross, & Waddell, 2013)
  • 4. Purpose  The purpose of the proposed qualitative, multi-case study is to understand and describe undergraduate educational programs offered through Midwestern colleges and universities in order to determine how these programs strive to prepare pre-service teachers for designing online learning environments that implement instructional design principles, models, and strategies.
  • 5. Research Questions  How do pre-service teachers in undergraduate preparatory programs learn instructional design competencies, including knowledge, skills, and attitudes needed to deliver online learning programs?  What are the titles of programs, specific courses, and objectives within courses in undergraduate teacher preparatory programs that address instructional design theory, models, or strategies and specifically their application to online learning?
  • 6. Theories Supporting this Research  Instructional Design Theory: A prescriptive theory that recommends a specific action to achieve the goal of instruction (Christensen & Osguthorpe, 2004; Smith & Ragan, 2005)  Constructivist Design Theory: A learning theory that is based on three principles  1) learning comes from interpretations of personal experiences which  2) exist in realistic and relevant situations and  3) include explorations of multiple perspectives (Richey, Klein, & Tracey, 2011).
  • 7. Qualitative, Multi-Case Study Yin, R. K. (2009). Case study research design and methods, (4th ed.). Los Angeles, CA: Sage Yin’s model for conducting case study research Prepare Collect AnalyzeShare DesignPlan
  • 8. Qualitative, Multi-Case Study Yin, R. K. (2009). Case study research design and methods, (4th ed.). Los Angeles, CA: Sage Yin’s model for conducting case study research Field Test Documents IRB Approval Multiple sources of evidence Organize data Maintain chain of evidence Rely on Theory and Literature Use an analytic technique Display data Review and Re-write Display evidence Compose textual and visual materials Define Unit of Analysis Develop Theoretical Propositions Define Case Study Quality Scientific Merit Review Plan
  • 9. Research Design  Target Population: Pre-service Teacher Preparatory programs  Sampling method: Purposive  Sample Size: 3-5 teacher education programs in Minnesota  Candidate Pool: 4-5 participants from each research site  Maximum Variation Strategy: Privately or Publicly funded institutions in diverse geographical locations  Recruitment: Letters to Department Chairs of Minnesota Teacher Education Programs, Snowball Strategy, Posting a Recruitment Flyer
  • 10. Data Collection  Feedback from Pre-Qualifying Questionnaire  Face-to-face or telephone interviews recorded using Audacity or similar software, transcribed, and reviewed for accuracy by participants  Documents: syllabi, textbooks, course catalogs  Physical Artifacts from institution’s website  Optional, self-administered classroom observation by faculty member Sources of Evidence for triangulation
  • 11. Triangulated Sources of Evidence Interviews Information from the institution’s website Faculty Pre-Service Students Former Students working in an online environment Physical Artifacts Examples from student projects Education Department Chair Optional, Self-administered classroom observations Documents Course Catalogs Syllabi Textbooks Course Materials
  • 12. Data Analysis Within Case Yin’s (2011) Five Phase Process for Analysis  Compile Data – organizing field notes and other coded data collected for each case  Dissemble Data – Develop categories and themes and reorganize coded data.  Reassembling Data - Creating display matrices or arrays  Interpreting Data - Analysis  Concluding – Making conclusions about the data and findings
  • 13. Data Analysis: Cross Case Analysis  Assemble analyses from individual case studies  Develop display matrices within each case study and across cases (Miles & Huberman, 1994)  Examine the emerging categories and themes based on the theoretical proposition of the case study (Yin, 2009)  Use Nvivo 10 database software to organize data collected from transcribed interviews, self-administered observations, documents, and website information
  • 15. Goal: Walk in Commencement August 16, 2014  End of Spring Quarter: June 13, 2014  Finalize Chapter 3  Complete Data Collection and Analysis  Work on Chapters 4 & 5 during break  Summer Quarter  First Draft of Chapters 4 & 5 submitted first week of Summer Quarter  Apply for graduation  Complete Chapters 4 & 5  Gain Mentor Approval for Chapter 3, 4, & 5 (Milestone 9)
  • 17. References Watson, J., Murin, A., Vashaw, L., Gemin, B., & Rapp, C. (2011). Keeping pace with K-12 online learning: An annual review of policy and practice. Sammamish, WA: Evergreen Education Group Project Tomorrow. (2011). Learning in the 21st century: 2011 trends update. Irvine, CA: Project Retrieved from http://www.blackboard.com/CMSPages/GetFile.aspx?guid=f68cca85-a863-43c9- 9dbd-8ff4439b87b3 Tomorrow. Picciano, A. G., & Seaman, J. (2009). K-12 online learning. Retrieved from http://155.48.10.202/Academics/Documents/babson-survey-research-group/k-12-online-learning- 2008.pdf Barbour, M. K., Siko, J., Gross, E., & Waddell, K. (2013). Virtually unprepared: Examining the preparation of K-12 online teachers. In R. Hartshorne, T. Heafner, & T. Petty (Eds.), Teacher education programs and online learning tools: Innovations in teacher preparation (pp. 60-81). Hershey, PA: Information Science Reference. doi:10.4018/978-1-4666-1906-7.ch004 Christensen, T. K., & Osguthorpe, R. T. (2004). How do instructional-design practitioners make instructional- strategy decisions? Performance Improvement Quarterly, 17(3), 45-65. doi:10.1111/j.1937- 8327.2004.tb00313.x Smith, P. L., & Ragan, T. J. (2005). Instructional design. Hoboken, NJ: John Wiley & Sons. Richey, R. C., Klein, J. D., & Tracey, M. W. (2011). The instructional design knowledge base. New York, NY: Routledge Yin, R. K. (2009). Case study research design and methods, (4th ed.). Los Angeles, CA: Sage Miles, M. B. & Huberman, A. M. (1994). Qualitative Data Analysis (2nd ed.). Thousand Oaks, CA: Sage.

Notas do Editor

  1. Click slide describes the process for analysis within each case study. Nvivo 10 software will assist in the overall process.
  2. This slide, unlike the previous slide, describes some of the over arching procedures that will be used when examining each case study and then analyzing across cases. These overall procedures are not limited to just the cross-case synthesis, but will be developed in both the within cases and across case studies.