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Countering a Dominant
   Narrative of Educational
  Reformers: Examining the
Research on the Effectiveness
     of Virtual Schooling
       Michael K. Barbour
         Assistant Professor
        Wayne State University
2
Dominant Narrative
1.   All students are digital learners.
2.   All students have access to high quality digital content and online
     courses.
3.   All students can customize their education using digital content
     through an approved provider.
4.   Students progress based on demonstrated competency.
5.   Digital content, instructional materials, and online and blended
     learning courses are high quality.
6.   Digital instruction and teachers are high quality.
7.   All students have access to high quality providers.
8.   Student learning is the metric for evaluating the quality of content
     and instruction.
9.   Funding creates incentives for performance, options and
     innovation.
10. Infrastructure supports digital learning.
Dominant Narrative
1.   All students are digital learners.
2.   All students have access to high quality digital content and online
     courses.
3.   All students can customize their education using digital content
     through an approved provider.
4.   Students progress based on demonstrated competency.
5.   Digital content, instructional materials, and online and blended
     learning courses are high quality.
6.   Digital instruction and teachers are high quality.
7.   All students have access to high quality providers.
8.   Student learning is the metric for evaluating the quality of content
     and instruction.
9.   Funding creates incentives for performance, options and
     innovation.
10. Infrastructure supports digital learning.
Students ARE Digital Learners
High Quality Content
2. All students have access to high quality
   digital content and online courses.

4. Digital content, instructional materials,
   and online and blended learning courses
   are high quality.
5. Digital instruction and teachers are high
   quality.
6. All students have access to high quality
   providers.
Customization
Analyzing Meta-Analyses

                Teacher
                Effects      Zone of
                             Desired Effects
Developmental
Effects


Reverse
Effects
Results of Interest
• Programmed instruction (d=0.24)
• Individualized instruction (d=0.23)
• Student control over learning (d=0.04)


• Second and third chance programs (d=0.50)
• Computer assisted instruction (d=0.37)
• Decreasing disruptive behavior (d=0.34)
• Class size (d=0.21)
• Charter schools (d=0.20)
• Web-based learning (d=0.18)
• Home-school programs (d=0.16)
• Teacher training (d=0.11)
• Teacher subject matter knowledge (d=0.09)
• Distance education (d=0.09)
                                              9
K-12 Distance Education Meta-Analysis
• Cavanaugh (2001) - 16 studies
  – +0.147 in favor of K-12 distance education

• Cavanaugh et al. (2004) - 14 studies
  – -0.028 for K-12 distance education

• Means et al. (2009) - 46 studies (5 on K-12)
  – +0.24 favoring online over face-to-face
  – +0.35 favoring blended over face-to-face*
Student Learning
Cavanaugh et al. (2005)     FLVS students performed better on a
                            non-mandatory assessment tool than
                            students from the traditional classroom
McLeod et al. (2005)        FLVS students performed better on an
                            assessment of algebraic understanding
                            than their classroom counterparts

Barbour & Mulcahy (2008)    little difference in the overall
                            performance of students based upon
                            delivery model

Barbour & Mulcahy (2009a)   no difference in student performance
                            based upon method of course delivery
Student Learning
Cavanaugh et FLVS students performed      speculated that the virtual
al., 2005    better on a non-             school students who did
             mandatory assessment         take the assessment may
             tool than students from      have been more
             the traditional classroom    academically motivated and
                                          naturally higher achieving
                                          students

McLeod et    FLVS students performed      results of the student
al., 2005    better on an assessment      performance were due to
             of algebraic understanding   the high dropout rate in
             than their classroom         virtual school courses
             counterparts
Student Learning
Kozma et al. (1998)           vast majority of online students were planning
                              to attend a four-year college

Espinoza et al. (1999)        students enrolled are mostly college bound

Haughey & Muirhead (1999)     preferred characteristics include the highly
                              motivated, self-directed, self-disciplined,
                              independent learner who could read and write
                              well, and who also had a strong interest in or
                              ability with technology

Roblyer & Elbaum (2000)       only students with a high need to control and
                              structure their own learning may choose
                              distance formats freely

Clark et al. (2002)           online students were highly motivated, high
                              achieving, self-directed and/or who liked to
                              work independently
Mills (2003)                  typical online student was an A or B student
Literature
indicates K-12
online learning
students are...
Reality of most or
a large segment
K-12 online
learning
students?
Student Learning
•   “Online student scores in math, reading, & writing have been lower
    than scores for students statewide over the last 3 years.” (Colorado,
    2006)
•   “Online student scores on statewide achievement tests are consistently
    14 to 26 percentage points below state averages for reading, writing
    and math over the past four years.” (Colorado, 2011)
•   “Virtual charter school pupils’ median scores on the mathematics
    section of the Wisconsin Knowledge and Concepts Examination were
    almost always lower than statewide medians during the 2005-06 and
    2006-07 school years.” (Wisconsin, 2010)
•   “Compared with all students statewide, full-time online students had
    significantly lower proficiency rates on the math.” (Minnesota, 2011)
•   During both years [2008-09 & 2009-10], full-time online students
    enrolled in grades 4-8 made about half as much progress in math, on
    average, as other students in the same grade. (Minnesota, 2011)
Are students really learning?
Does online learning = high quality?
Funding & Infrastructure
• An independent study found that the “operating
  costs of online programs are about the same as the
  costs of operating brick-and-mortar schools.”
  (iNACOL)
• “We find that average overall per-pupil costs of both
  models are significantly lower than the $10,000
  national average for tradition-al brick-and-mortar
  schools—and that virtual schools are cheaper on
  average than blended schools.” (Fordham
  Foundation – 4th report)
• “Fund all learning opportunities equally per pupil.”
  (Fordham Foundation – 5th report)
What’s This Really About???
Your
Questions
  and
Comments
Assistant Professor
     Wayne State University, USA
        mkbarbour@gmail.com
   http://www.michaelbarbour.com
http://virtualschooling.wordpress.com

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AERA 2012 - Countering a Dominant Narrative of Educational Reformers: Examining the Research on the Effectiveness of Virtual Schooling

  • 1. Countering a Dominant Narrative of Educational Reformers: Examining the Research on the Effectiveness of Virtual Schooling Michael K. Barbour Assistant Professor Wayne State University
  • 2. 2
  • 3. Dominant Narrative 1. All students are digital learners. 2. All students have access to high quality digital content and online courses. 3. All students can customize their education using digital content through an approved provider. 4. Students progress based on demonstrated competency. 5. Digital content, instructional materials, and online and blended learning courses are high quality. 6. Digital instruction and teachers are high quality. 7. All students have access to high quality providers. 8. Student learning is the metric for evaluating the quality of content and instruction. 9. Funding creates incentives for performance, options and innovation. 10. Infrastructure supports digital learning.
  • 4. Dominant Narrative 1. All students are digital learners. 2. All students have access to high quality digital content and online courses. 3. All students can customize their education using digital content through an approved provider. 4. Students progress based on demonstrated competency. 5. Digital content, instructional materials, and online and blended learning courses are high quality. 6. Digital instruction and teachers are high quality. 7. All students have access to high quality providers. 8. Student learning is the metric for evaluating the quality of content and instruction. 9. Funding creates incentives for performance, options and innovation. 10. Infrastructure supports digital learning.
  • 6. High Quality Content 2. All students have access to high quality digital content and online courses. 4. Digital content, instructional materials, and online and blended learning courses are high quality. 5. Digital instruction and teachers are high quality. 6. All students have access to high quality providers.
  • 8. Analyzing Meta-Analyses Teacher Effects Zone of Desired Effects Developmental Effects Reverse Effects
  • 9. Results of Interest • Programmed instruction (d=0.24) • Individualized instruction (d=0.23) • Student control over learning (d=0.04) • Second and third chance programs (d=0.50) • Computer assisted instruction (d=0.37) • Decreasing disruptive behavior (d=0.34) • Class size (d=0.21) • Charter schools (d=0.20) • Web-based learning (d=0.18) • Home-school programs (d=0.16) • Teacher training (d=0.11) • Teacher subject matter knowledge (d=0.09) • Distance education (d=0.09) 9
  • 10. K-12 Distance Education Meta-Analysis • Cavanaugh (2001) - 16 studies – +0.147 in favor of K-12 distance education • Cavanaugh et al. (2004) - 14 studies – -0.028 for K-12 distance education • Means et al. (2009) - 46 studies (5 on K-12) – +0.24 favoring online over face-to-face – +0.35 favoring blended over face-to-face*
  • 11. Student Learning Cavanaugh et al. (2005) FLVS students performed better on a non-mandatory assessment tool than students from the traditional classroom McLeod et al. (2005) FLVS students performed better on an assessment of algebraic understanding than their classroom counterparts Barbour & Mulcahy (2008) little difference in the overall performance of students based upon delivery model Barbour & Mulcahy (2009a) no difference in student performance based upon method of course delivery
  • 12. Student Learning Cavanaugh et FLVS students performed speculated that the virtual al., 2005 better on a non- school students who did mandatory assessment take the assessment may tool than students from have been more the traditional classroom academically motivated and naturally higher achieving students McLeod et FLVS students performed results of the student al., 2005 better on an assessment performance were due to of algebraic understanding the high dropout rate in than their classroom virtual school courses counterparts
  • 13. Student Learning Kozma et al. (1998) vast majority of online students were planning to attend a four-year college Espinoza et al. (1999) students enrolled are mostly college bound Haughey & Muirhead (1999) preferred characteristics include the highly motivated, self-directed, self-disciplined, independent learner who could read and write well, and who also had a strong interest in or ability with technology Roblyer & Elbaum (2000) only students with a high need to control and structure their own learning may choose distance formats freely Clark et al. (2002) online students were highly motivated, high achieving, self-directed and/or who liked to work independently Mills (2003) typical online student was an A or B student
  • 15. Reality of most or a large segment K-12 online learning students?
  • 16. Student Learning • “Online student scores in math, reading, & writing have been lower than scores for students statewide over the last 3 years.” (Colorado, 2006) • “Online student scores on statewide achievement tests are consistently 14 to 26 percentage points below state averages for reading, writing and math over the past four years.” (Colorado, 2011) • “Virtual charter school pupils’ median scores on the mathematics section of the Wisconsin Knowledge and Concepts Examination were almost always lower than statewide medians during the 2005-06 and 2006-07 school years.” (Wisconsin, 2010) • “Compared with all students statewide, full-time online students had significantly lower proficiency rates on the math.” (Minnesota, 2011) • During both years [2008-09 & 2009-10], full-time online students enrolled in grades 4-8 made about half as much progress in math, on average, as other students in the same grade. (Minnesota, 2011)
  • 17. Are students really learning?
  • 18. Does online learning = high quality?
  • 19. Funding & Infrastructure • An independent study found that the “operating costs of online programs are about the same as the costs of operating brick-and-mortar schools.” (iNACOL) • “We find that average overall per-pupil costs of both models are significantly lower than the $10,000 national average for tradition-al brick-and-mortar schools—and that virtual schools are cheaper on average than blended schools.” (Fordham Foundation – 4th report) • “Fund all learning opportunities equally per pupil.” (Fordham Foundation – 5th report)
  • 22. Assistant Professor Wayne State University, USA mkbarbour@gmail.com http://www.michaelbarbour.com http://virtualschooling.wordpress.com

Notas do Editor

  1. Benefits = Expanding educational access; Providing high-quality learning opportunities; and Allowing for educational choice Challenges = Student readiness issues and retention issues
  2. Another problem is what we measure... 1. Correlation does not equal causality 2. Single studies measure if there is a difference between two groups beyond chance Need for meta-analysis...
  3. Cavanaugh (2001) - developmental effects Cavanaugh et al. (2004) - reverse effects Means et al. (2009) - online = teacher effects & blended = developmental effects + teacher effects
  4. American Journal of Distance Education (United States) - 8 US Journal of Distance Education (Canada) - 4 Cdn / 1 Aus Distance Education (Australia) - 2 Aus / 4 US Journal of Distance Learning (New Zealand) - 1 NZ / 1 Cdn / 1 US-Cdn Last five years - 24 articles out of a total of 262 related to K-12 distance education
  5. American Journal of Distance Education (United States) - 8 US Journal of Distance Education (Canada) - 4 Cdn / 1 Aus Distance Education (Australia) - 2 Aus / 4 US Journal of Distance Learning (New Zealand) - 1 NZ / 1 Cdn / 1 US-Cdn Last five years - 24 articles out of a total of 262 related to K-12 distance education
  6. American Journal of Distance Education (United States) - 8 US Journal of Distance Education (Canada) - 4 Cdn / 1 Aus Distance Education (Australia) - 2 Aus / 4 US Journal of Distance Learning (New Zealand) - 1 NZ / 1 Cdn / 1 US-Cdn Last five years - 24 articles out of a total of 262 related to K-12 distance education
  7. The research is based upon the best and the brightest.
  8. However, we know from practice that this does not reflect all or even the majority of K-12 online learners. So the population of students the research focuses on is one of the main limitations of the usefulness (and even the believability) of much of that research.
  9. American Journal of Distance Education (United States) - 8 US Journal of Distance Education (Canada) - 4 Cdn / 1 Aus Distance Education (Australia) - 2 Aus / 4 US Journal of Distance Learning (New Zealand) - 1 NZ / 1 Cdn / 1 US-Cdn Last five years - 24 articles out of a total of 262 related to K-12 distance education
  10. In their two-year evaluation, Bigbie and McCarrol found that more than 50% of Florida Virtual students get As in their courses and very few students failed I n examining 6 virtual schools in 3 Canadian provinces, Barker and Wendel found that online and classroom students performed the same
  11. But does this tell really tell the full story???