Barbour, M. K. (2012, October). Opposing the dominant K-12 online learning narrative of educational reformers. A brown bag presentation to the Humanities Center at Wayne State University, Detroit, MI.
View the actual presentation at http://www.youtube.com/watch?v=GZQMe_djyys
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.
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)
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
Benefits = Expanding educational access; Providing high-quality learning opportunities; and Allowing for educational choice Challenges = Student readiness issues and retention issues
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
The research is based upon the best and the brightest.
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.
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
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
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
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
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
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
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
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...
Cavanaugh (2001) - developmental effects Cavanaugh et al. (2004) - reverse effects Means et al. (2009) - online = teacher effects & blended = developmental effects + teacher effects