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Opposing the Dominant K-12
Online Learning Narrative of
  Educational Reformers

       Michael K. Barbour
         Assistant Professor
       Wayne State University
2
Dominant Narrative
1. All students are digital learners.
2. Digital content, instructional materials,
   and online and blended learning
   courses are high quality.
3. Digital instruction and teachers are
   high quality.
4. All students should have access to
   high quality digital content and online
   courses.
Digital Learning Now
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.
Digital Learning Now
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
Generational differences: the
theory that people born within
an approximately 20 year time
period share a common set of
characteristics based upon the
historical experiences, economic
and social conditions,
technological advances and
other societal changes they have
in common
Generational Boundaries
• GI Generation “Greatest Generation”
  – Born between 1901 and 1924
• Silent Generation
  – Born between 1925 and 1945
• Baby Boomers
  – Born between 1946 and 1964
• Generation X
  – Born between 1965 and 1980
• Today’s Student
  – Born between 1981 and 2000
Net Generation
• Digital technology has had a
  profound impact on their
  personalities, including their
  attitudes and approach to
  learning

• Perception is that there has
  been a shift from a generation
  gap to a generation lap - kids
  "lapping" adults on the
  technology track
Millennials
• Based upon survey
  research

• Sample from Fairfax, VA



Howe, N., & Strauss, W.
  (2000). Millennials rising:
  The next great generation
  New York: Vintage Books.
Digital Natives
• Common in the media

• No systematic research

• Makes unfounded assumptions
  about access to digital
  technology

Prensky, M. (2001). Digital Natives,
   Digital Immigrants – Part II: Do They
   Really Think Differently? On the
   Horizon, 9(6).
Another Common Myth:
                     The Master Multitasker
• Memory
  encoding and
  memory
  retrieval
  weaker in
  teens when
  attention is
  divided

Naveh-Benjamin, M., Kilb, A., & Fisher, T. (2006). Concurrent task effects on memory encoding
and retrieval: Further support for an asymmetry. Memory & Cognition, 34(1), 90-101.
“Today's young people have
been raised to aim for the
stars at a time when it is
more difficult than ever to
get into college, find a good
job, and afford a house.
Their expectations are very
high just as the world is
becoming more competitive,
so there's a huge clash
between their expectations
and reality.”
• In 2002, 74% of high school students admitted
  to cheating whereas in 1969 only 34%
  admitted such a failing. (p. 27)
• In 1967, 86% of incoming college students
  said that “developing a meaningful philosophy
  of life” was an essential life goal whereas in
  2004 only 42% of GenMe freshmen agreed.
  (p. 48)
• In 2004, 48% of American college freshmen
  reported earning an A average in high school
  whereas in 1968 only 18% of freshmen
  reported being an A student in high school. (p.
  63)
• In the 1950s, only 12% of young teens agreed
  with the statement “I am an important
  person” whereas by the late 1980s, 80%
  claimed they were important. (p. 69)
                                                    Jean M. Twenge
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.
Student Performance
• performance of virtual and
  classroom students in Alberta
  were similar in English and
  Social Studies courses, but
  that classroom students
  performed better overall in all
  other subject areas (Ballas &
  Belyk, 2000)

• over half of the students who
  completed FLVS courses
  scored an A in their course
  and only 7% received a failing
  grade (Bigbie & McCarroll,
  2000)
Student Performance
• students in the six virtual
  schools in three different
  provinces performed no
  worse than the students
  from the three conventional
  schools (Barker & Wendel,
  2001)

• IVHS had a completion rate
  of 53% its first year of
  operation and 80% the
  following (Clark et al., 2002)
Student Performance
• FLVS students performed
  better on a non-mandatory
  assessment tool than
  students from the
  traditional classroom
  (Cavanaugh et al., 2005)

• FLVS students performed
  better on an assessment of
  algebraic understanding than
  their classroom counterpart
  (McLeod et al., 2005)
Student Performance
• the completion rate for the
  ALDC was 47% for their
  asynchronous courses and
  89% for their combination
  asynchronous & synchronous
  courses (Elluminate, 2006)

• CDLI students performed as
  well as classroom-based
  students on final course scores &
  exam marks (Barbour &
  Mulcahy, 2007; 2008)
Digital Learning is High Quality
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
The Students
• the vast majority of VHS Global
  Consortium students in their courses
  were planning to attend a four-year
  college (Kozma, Zucker & Espinoza,
  1998)


• “VHS courses are predominantly
  designated as ‘honors,’ and students
  enrolled are mostly college bound”
  (Espinoza et al., 1999)
The Students
• the 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
  (Haughey & Muirhead, 1999)

• “only students with a high need to
  control and structure their own
  learning may choose distance
  formats freely” (Roblyer & Elbaum,
  2000)
The Students
• IVHS students were
  “highly motivated, high
  achieving, self-directed
  and/or who liked to work
  independently” (Clark et
  al., 2002)

• the typical online student
  was an A or B student
  (Mills, 2003)
The Students
• 45% of the students
  who participated in e-
  learning opportunities in
  Michigan were “either
  advanced placement or
  academically advanced”
  students (Watkins,
  2005)
Literature
indicates K-12
online learning
students are...
Reality of most or
a large segment
K-12 online
learning
students?
Digital Learning is High Quality
• “…it is evident that the poor test results for students in
  nonclassroom-based charter schools pull down the average
  performance of students in charter schools…” (California,
  2003)


• “Online student scores in math, reading, & writing have
  been lower than scores for students statewide over the last
  3 years.” (Colorado, 2006)


• “The estimates for the virtual charter schools are negative,
  substantial, and (in three of four estimates) statistically
  significant.” (Ohio, 2009)
Digital Learning is High Quality
• “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)


• “The AYP ratings for virtual schools managed by EMOs were
  substantially weaker than the ratings for the brick-and-mortar
  schools. While only 27.4% of the virtual schools operated by for-
  profit EMOs met AYP, 51.8% of the brick-and-mortar schools met
  AYP.” (Nationally, 2011)


• “The largest online schools in K-12 lag the state averages among
  all Arizona public schools in most standardized test scores and in
  graduation rates.”
Digital Learning is High Quality
• “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)


• “Of the 23 E-schools rated by the Ohio Department of
  Education for the 2009-2010 school year, only three rated
  “effective” or better on the state report card.” (Ohio, 2011)


• “Compared with all students statewide, full-time online
  students had significantly lower proficiency rates on the
  math.” (Minnesota, 2011)
Digital Learning is High Quality
• “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)


• “While the performance of K12 schools on the AYP measure
  is poor, it is important to note that other EMOs that
  operate virtual schools have similarly weak performance
  levels…”
• “…there are now more AYP ratings available for K12 schools
  and we have adjusted the AYP rate for K12 schools
  downwards to 27.7% which is almost identical to the
  average for all EMO-operated virtual schools (27.4%).”
Digital Learning is High Quality
University of Arkansas Internal Evaluation of the Arkansas
  Virtual Academy School (ARVA)


There were methodological limitations in the sample (all of
  which favored the online students):


• the online sample had several of its lowest performing
  students removed before they had repeated a grade or had
  dropped out over the two-year period.
• the online sample was a more affluent group.
• the online sample had significant fewer minority students.
Digital Learning is High Quality
University of Arkansas Internal Evaluation of the Arkansas
  Virtual Academy School (ARVA)

When comparing student performance in mathematics, the researchers found:
• students in the face-to-face group increased their performance by 1% more
  than the online group from grades 3 to 5 (not statistically significant)
• students in the online group increased their performance by 5% more than
  the face-to-face group from grades 4 to 6 (not statistically significant)
• students in the online group increased their performance by 2% more than
  the face-to-face group from grades 5 to 7 (not statistically significant)
• students in the online group increased their performance by 16% more than
  the face-to-face group from grades 6 to 8 (statistically significant at the
  p=0.10 level)
Digital Learning is High Quality
University of Arkansas Internal Evaluation of the Arkansas
  Virtual Academy School (ARVA)

When comparing student performance in literacy, the researchers found:
• students in the face-to-face group increased their performance by 3% more
  than the online group from grades 3 to 5 (not statistically significant)
• students in the online group increased their performance by 11% more than
  the face-to-face group from grades 4 to 6 (statistically significant at the
  p=0.10 level)
• students in the online group increased their performance by 2% more than
  the face-to-face group from grades 5 to 7 (not statistically significant)
• students in the online group increased their performance by 7% more than
  the face-to-face group from grades 6 to 8 (not statistically significant)
Customization
Analyzing Meta-Analyses

                Teacher
                Effects      Zone of
                             Desired Effects
Developmental
Effects


Reverse
Effects
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*
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)
                                              40
Are students really learning?
Does online learning = high quality?
What We Know From The Research?
1. Today’s students are not as digitally
   savvy as they are made out to be.

2. Supplemental online learning works
   for higher ability students.

3. Full-time online learning works for
   very few students.
What’s This Really About???
What Else Do We Know?
1. Local support is critical to student
   success.

2. Smaller, targeted programs have
   shown best results.

3. Managed growth has prevented
   academic missteps.
Potential Useful Models
1. Requirement to target at-risk or dropped out
   students. (Michigan)

2. Tying funding to completion and performance.
   (Arizona)

3. Focus on quality assurance. (British
   Columbia/Texas)

4. Limiting growth. (Multiple states)

5. Funding full-time K-12 online learning at lower
   rates. (Multiple states)
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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Humanities Center - Opposing the Dominant K-12 Online Learning Narrative of Educational Reformers

  • 1. Opposing the Dominant K-12 Online Learning Narrative of Educational Reformers Michael K. Barbour Assistant Professor Wayne State University
  • 2. 2
  • 3. Dominant Narrative 1. All students are digital learners. 2. Digital content, instructional materials, and online and blended learning courses are high quality. 3. Digital instruction and teachers are high quality. 4. All students should have access to high quality digital content and online courses.
  • 4. Digital Learning Now 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.
  • 5. Digital Learning Now 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.
  • 7.
  • 8.
  • 9. Generational differences: the theory that people born within an approximately 20 year time period share a common set of characteristics based upon the historical experiences, economic and social conditions, technological advances and other societal changes they have in common
  • 10. Generational Boundaries • GI Generation “Greatest Generation” – Born between 1901 and 1924 • Silent Generation – Born between 1925 and 1945 • Baby Boomers – Born between 1946 and 1964 • Generation X – Born between 1965 and 1980 • Today’s Student – Born between 1981 and 2000
  • 11. Net Generation • Digital technology has had a profound impact on their personalities, including their attitudes and approach to learning • Perception is that there has been a shift from a generation gap to a generation lap - kids "lapping" adults on the technology track
  • 12. Millennials • Based upon survey research • Sample from Fairfax, VA Howe, N., & Strauss, W. (2000). Millennials rising: The next great generation New York: Vintage Books.
  • 13. Digital Natives • Common in the media • No systematic research • Makes unfounded assumptions about access to digital technology Prensky, M. (2001). Digital Natives, Digital Immigrants – Part II: Do They Really Think Differently? On the Horizon, 9(6).
  • 14. Another Common Myth: The Master Multitasker • Memory encoding and memory retrieval weaker in teens when attention is divided Naveh-Benjamin, M., Kilb, A., & Fisher, T. (2006). Concurrent task effects on memory encoding and retrieval: Further support for an asymmetry. Memory & Cognition, 34(1), 90-101.
  • 15.
  • 16. “Today's young people have been raised to aim for the stars at a time when it is more difficult than ever to get into college, find a good job, and afford a house. Their expectations are very high just as the world is becoming more competitive, so there's a huge clash between their expectations and reality.”
  • 17. • In 2002, 74% of high school students admitted to cheating whereas in 1969 only 34% admitted such a failing. (p. 27) • In 1967, 86% of incoming college students said that “developing a meaningful philosophy of life” was an essential life goal whereas in 2004 only 42% of GenMe freshmen agreed. (p. 48) • In 2004, 48% of American college freshmen reported earning an A average in high school whereas in 1968 only 18% of freshmen reported being an A student in high school. (p. 63) • In the 1950s, only 12% of young teens agreed with the statement “I am an important person” whereas by the late 1980s, 80% claimed they were important. (p. 69) Jean M. Twenge
  • 18. 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.
  • 19. Student Performance • performance of virtual and classroom students in Alberta were similar in English and Social Studies courses, but that classroom students performed better overall in all other subject areas (Ballas & Belyk, 2000) • over half of the students who completed FLVS courses scored an A in their course and only 7% received a failing grade (Bigbie & McCarroll, 2000)
  • 20. Student Performance • students in the six virtual schools in three different provinces performed no worse than the students from the three conventional schools (Barker & Wendel, 2001) • IVHS had a completion rate of 53% its first year of operation and 80% the following (Clark et al., 2002)
  • 21. Student Performance • FLVS students performed better on a non-mandatory assessment tool than students from the traditional classroom (Cavanaugh et al., 2005) • FLVS students performed better on an assessment of algebraic understanding than their classroom counterpart (McLeod et al., 2005)
  • 22. Student Performance • the completion rate for the ALDC was 47% for their asynchronous courses and 89% for their combination asynchronous & synchronous courses (Elluminate, 2006) • CDLI students performed as well as classroom-based students on final course scores & exam marks (Barbour & Mulcahy, 2007; 2008)
  • 23. Digital Learning is High Quality 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
  • 24. The Students • the vast majority of VHS Global Consortium students in their courses were planning to attend a four-year college (Kozma, Zucker & Espinoza, 1998) • “VHS courses are predominantly designated as ‘honors,’ and students enrolled are mostly college bound” (Espinoza et al., 1999)
  • 25. The Students • the 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 (Haughey & Muirhead, 1999) • “only students with a high need to control and structure their own learning may choose distance formats freely” (Roblyer & Elbaum, 2000)
  • 26. The Students • IVHS students were “highly motivated, high achieving, self-directed and/or who liked to work independently” (Clark et al., 2002) • the typical online student was an A or B student (Mills, 2003)
  • 27. The Students • 45% of the students who participated in e- learning opportunities in Michigan were “either advanced placement or academically advanced” students (Watkins, 2005)
  • 29. Reality of most or a large segment K-12 online learning students?
  • 30. Digital Learning is High Quality • “…it is evident that the poor test results for students in nonclassroom-based charter schools pull down the average performance of students in charter schools…” (California, 2003) • “Online student scores in math, reading, & writing have been lower than scores for students statewide over the last 3 years.” (Colorado, 2006) • “The estimates for the virtual charter schools are negative, substantial, and (in three of four estimates) statistically significant.” (Ohio, 2009)
  • 31. Digital Learning is High Quality • “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) • “The AYP ratings for virtual schools managed by EMOs were substantially weaker than the ratings for the brick-and-mortar schools. While only 27.4% of the virtual schools operated by for- profit EMOs met AYP, 51.8% of the brick-and-mortar schools met AYP.” (Nationally, 2011) • “The largest online schools in K-12 lag the state averages among all Arizona public schools in most standardized test scores and in graduation rates.”
  • 32. Digital Learning is High Quality • “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) • “Of the 23 E-schools rated by the Ohio Department of Education for the 2009-2010 school year, only three rated “effective” or better on the state report card.” (Ohio, 2011) • “Compared with all students statewide, full-time online students had significantly lower proficiency rates on the math.” (Minnesota, 2011)
  • 33. Digital Learning is High Quality • “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) • “While the performance of K12 schools on the AYP measure is poor, it is important to note that other EMOs that operate virtual schools have similarly weak performance levels…” • “…there are now more AYP ratings available for K12 schools and we have adjusted the AYP rate for K12 schools downwards to 27.7% which is almost identical to the average for all EMO-operated virtual schools (27.4%).”
  • 34. Digital Learning is High Quality University of Arkansas Internal Evaluation of the Arkansas Virtual Academy School (ARVA) There were methodological limitations in the sample (all of which favored the online students): • the online sample had several of its lowest performing students removed before they had repeated a grade or had dropped out over the two-year period. • the online sample was a more affluent group. • the online sample had significant fewer minority students.
  • 35. Digital Learning is High Quality University of Arkansas Internal Evaluation of the Arkansas Virtual Academy School (ARVA) When comparing student performance in mathematics, the researchers found: • students in the face-to-face group increased their performance by 1% more than the online group from grades 3 to 5 (not statistically significant) • students in the online group increased their performance by 5% more than the face-to-face group from grades 4 to 6 (not statistically significant) • students in the online group increased their performance by 2% more than the face-to-face group from grades 5 to 7 (not statistically significant) • students in the online group increased their performance by 16% more than the face-to-face group from grades 6 to 8 (statistically significant at the p=0.10 level)
  • 36. Digital Learning is High Quality University of Arkansas Internal Evaluation of the Arkansas Virtual Academy School (ARVA) When comparing student performance in literacy, the researchers found: • students in the face-to-face group increased their performance by 3% more than the online group from grades 3 to 5 (not statistically significant) • students in the online group increased their performance by 11% more than the face-to-face group from grades 4 to 6 (statistically significant at the p=0.10 level) • students in the online group increased their performance by 2% more than the face-to-face group from grades 5 to 7 (not statistically significant) • students in the online group increased their performance by 7% more than the face-to-face group from grades 6 to 8 (not statistically significant)
  • 38. Analyzing Meta-Analyses Teacher Effects Zone of Desired Effects Developmental Effects Reverse Effects
  • 39. 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*
  • 40. 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) 40
  • 41. Are students really learning?
  • 42. Does online learning = high quality?
  • 43. What We Know From The Research? 1. Today’s students are not as digitally savvy as they are made out to be. 2. Supplemental online learning works for higher ability students. 3. Full-time online learning works for very few students.
  • 45. What Else Do We Know? 1. Local support is critical to student success. 2. Smaller, targeted programs have shown best results. 3. Managed growth has prevented academic missteps.
  • 46. Potential Useful Models 1. Requirement to target at-risk or dropped out students. (Michigan) 2. Tying funding to completion and performance. (Arizona) 3. Focus on quality assurance. (British Columbia/Texas) 4. Limiting growth. (Multiple states) 5. Funding full-time K-12 online learning at lower rates. (Multiple states)
  • 48. Assistant Professor Wayne State University, USA mkbarbour@gmail.com http://www.michaelbarbour.com http://virtualschooling.wordpress.com

Notes de l'éditeur

  1. Benefits = Expanding educational access; Providing high-quality learning opportunities; and Allowing for educational choice Challenges = Student readiness issues and retention issues
  2. 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
  3. The research is based upon the best and the brightest.
  4. 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.
  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. 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
  8. 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
  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. 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
  11. 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
  12. 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...
  13. Cavanaugh (2001) - developmental effects Cavanaugh et al. (2004) - reverse effects Means et al. (2009) - online = teacher effects & blended = developmental effects + teacher effects
  14. But does this tell really tell the full story???