sample ~ annotated biblio ed tech
TRANSCRIPT
Annotated Bibliography 1
Running head: ANNOTATED BIBLIOGRAPHY
Annotated Bibliography
Glenn E. Malone
Washington State University
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Introduction
The purpose of this review is to begin my exploration of a possible topic for my
dissertation. I looked at the variety of research on the issues, successes and solutions that
technology integration and specifically online learning has faced and the impact on K-12 systems
in the United States. I am particularly interested in the role of the superintendent in leading a
district through this fast-paced revolution.
My search included the terms Leadership, Online Learning, and Superintendent. I was
unsuccessful in finding many articles specifically on a Superintendent’s role but I did find a
promising and growing body of research on online learning effectiveness.
Patterns emerged in the literature and for this project I have grouped the articles into
three categories: Technology Integration Effectiveness, Online Learning Effectiveness, and
Leadership Policy Implications.
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Technology Integration Effectiveness
Becker, H. J., & Ravitz, J. L. (2001). Computer use by teachers: Are Cuban's predictions
correct? Paper presented at the 2001 Annual Meeting of the American Educational
Research Association, Seattle, WA.
In his book Oversold & Underused: Computers in the Classroom, Larry Cuban asserts
that computers have had a minimal impact in classrooms and are minimally used by teachers. In
this paper Becker and Ravitz examine Cuban’s claims and present data from their national
survey of 4,100 teachers from three sample populations. Statistically, their work supports
Cuban’s claims; however further disaggregation of their data revels that when examining
teachers matching a particular profile, Cuban’s findings do not stand true. It was not surprising
to find that, if the teacher had at least five computers in their classroom, takes a leadership role
with peers, had at least moderate computer expertise and was in the top quartile in terms of
constructivist philosophy, computers played a significant role in their classrooms. With teachers
that fit this profile, 75% had their students using word processing software during class ten plus
times a day, and these teachers were roughly three times as likely as all other teachers to do so.
Conversely, one of their strongest and most prevalent findings show that teachers who
shun computers are also the ones who seem to be the most traditional in their philosophy; “that is
those who believe their role is to transmit to students an externally mandated curriculum by
means of a highly controlled pedagogy” (Becker & Ravitz, 2002, p. 9). Unfortunately, only 10%
of the teachers surveyed met their criteria of exemplary computer users. This seems to point to a
need for more professional development in this area.
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The purpose of their study focused on the use of computers in the classroom and the
reasons that prohibited the use of computers. Although Becker and Ravitz did not mention
computer labs specifically, their study lends credibility to my long held belief that computers
should be located in classrooms before labs. Their work confirms the need for leaders to
distribute computers to classrooms in clusters of five to eight computers if they want them to be
used. The missing piece for me was while only addressing how often computers are used, the
paper does not address the merits or educational value of computer use as related to student
achievement.
Earle, R.S. (2002). The integration of instructional technology into public education: Promises
and challenges. Educational Technology, 42(1), 5-13.
Earle declares from the start that there is no guarantee that technology will improve
student achievement. He asserts that research on the effects of technology on student
achievement offer mixed results, with fewer than half of the teachers in a nationwide survey
using computers for instructional purposes. His work points to the differing priorities that reveal
teachers would rather see additional funding used to increase the number of computers in the
classroom while superintendents believe the use of funds on teacher training would best improve
computer effectiveness. Earle cites several educational sources that bring insight into the
challenges researchers face such as claims of computer investments in schools as “glitzy toys”
and “bogus stuff”. Earle (2002) emphasizes the value of the teacher and says, “Technology
generates a glut of information, but has no particular pedagogical wisdom" (p. 9).
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Earle ends his article with what he calls first order and second order barriers to successful
technology integration. His first order barriers are extrinsic; such as access, support, resources,
and time. The second order barriers he describes are intrinsic; such as attitudes, beliefs,
practices, and resistance; Earle emphasizes the need to address second order barriers first. He
cautions that technology can and does cause a distraction from what matters most, effective
learning and good teaching. He acknowledges that a well trained and effective teacher is
preferable to the most advanced technology. In his final reflection he lists six factors critical to
supporting measurable gains in educational outcomes: leadership, solid educational objectives,
professional development, adequate technology resources, time, and evaluation.
Earle clearly makes a case that technology holds great promise for use in the classroom
while he cautions that we not stray from solid teaching. His work identifies some of the
challenges that I have encountered in my work as a principal and is congruent with my
experiences as a Director of Technology.
Mulkeen, A. (2006). ICT in schools: What is of educational value? In L. Hin (Ed.), Handbook of
Research on Literacy in Technology at the K-12 Level (pp. 73-93). Hershey, PA:
Information Science Reference.
This is an exceptional article that gives a well founded argument for the use of
Information and Communication Technology (ITC). The term ITC is common in Australia,
England and New Zealand and it refers to what we typically call instructional or educational
technology in the states.
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Mulkeen asserts that many times teachers throw out effective teaching activities for lesser
experiences with computers. He further argues that computer use in classrooms is often not very
challenging and may be less valuable than what it replaces.
To measure the effectiveness of ICT Mulkeen presents a simplistic but powerful tool he
calls the value grid. He uses the grid to illustrate the interplay between the complexities of
thinking and curricular relevance all the while integrating ICT.
Mulkeen suggests that instead of gullible acceptance of ICT, we need to be much more
demanding of it. He advocates the need to recognize that some uses of ICT are actually contra-
educational, because they displace more valuable activities. I particularly appreciated his
recognition that getting higher-order benefits is not a question of technology, but one of
pedagogy.
The results of Mulkeen’s research illustrate the need for educators to be more selective in
the strategies they employ. He recognizes the techno-lust factor that sometimes blinds well
intentioned teachers from seeing the error of their lesson plan selection.
Schacter, J. (1999). The impact of educational technology on student achievement: What the
most current research has to say. Retrieved July 10, 2009, from Milken Exchange on
Educational Technology Web site: http://www.mff.org/pubs/ME161.pdf
This article is an analysis of over 700 empirical research studies including a study of the
entire state of West Virginia, and a national sample of fourth and eighth grade students. Schacter
found that students with access to: computer assisted instruction, integrated learning systems
technology, simulations and software that teaches higher order thinking, collaborative networked
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technologies or design and programming technologies show positive gains in achievement on
researcher constructed tests, standardized tests and national tests. On the other hand they also
point to evidence in some of these same studies that learning technology is less effective or
ineffective when the learning objectives are unclear and the focus of the technology use is
scattered. The author suggests that one of the continuing difficulties is that many teachers think
about the technology first and the education later.
Schacter’s review shows that in all the studies the positive impact by far prevails over the
negative impact. When there was a negative impact it was either the wrong approach or the
teaching style. All of the studies show an improvement on students’ attitude towards learning
which helps motivate underachieving students. This work seems to suggest that technology,
when used properly, is a great tool to engage and empower students to heighten their attitude
towards learning and allow them to succeed.
From my review of the research, most of the big name reports and researchers where
included in this project and Schacter’s findings will be very helpful to leaders trying to make
decisions about educational investments. This is one of my better resources on this topic of
technology integration effectiveness.
Waxman, H., Lin, M., & Michko, G. (2003) A meta-analysis of the effectiveness of teaching and
learning with technology and student outcomes. Retrieved on July 9, 2009, from
Learning Point Associates Web site: http://www.learningpt.org/pdfs/tech/preservice.pdf
The purpose of this study is to provide a quantitative synthesis of recent research on the
effects of teaching and learning on student outcomes. To accomplish this task, Waxman
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examined 42 studies that contained a combined sample size of 7,000 students. The statistical
data he examined indicate that teaching and learning with technology has a small, positive and
significant effect on student outcomes when compared to traditional instruction. On the other
hand, the studies that contained behavioral outcomes indicate that technology had a small,
negative effect on students’ behavioral outcomes. In statistics, a meta-analysis combines the
results of several studies that address a set of related research hypotheses; one area in which
there have not been many meta-analyses and systematic reviews of the research is how teaching
and learning with technology impacts student outcomes.
This research is important because some studies have found that technology can change
teachers’ pedagogic practices from a teacher-centered or teacher-directed model to a more
student-centered classroom where students work cooperatively, have opportunities to make
choices, and play an active role in their learning.
It was surprising for me to learn that while the impact of technology integration on
student outcomes was significantly positive some studies showed a negative, although small
effect on behavioral outcomes. This was the opposite of what I expected to find and contrary to
other, more recent research on the same topic.
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Online Learning Effectiveness
Bernard, R.M., Abrami, P.C., Lou, Y., Borokhovski, E., Wade, A., Wozney, L., Wallett, P.A.,
Fiset, M. and Huang, B. (2004). How does distance education compare with classroom
instruction? A meta-analysis of the empirical literature. Review of Educational Research.
74 (3), 379–439.
Bernard et al. conducted a meta-analysis of the comparative distance education literature
between 1985 and 2002. In total, 232 studies containing 688 independent achievement, attitude,
and retention outcomes were analyzed. Overall results indicated effect sizes of essentially zero on
all three measures and wide variability. This suggests that many applications of distance
education outperform their classroom counterparts and that many perform more poorly. Dividing
achievement outcomes into synchronous and asynchronous forms of distance education produced
a somewhat different impression. In general, mean achievement effect sizes for synchronous
applications favored classroom instruction, while effect sizes for asynchronous applications
favored distance education. However, significant differences remained in each subset.
This meta-analysis is outdated in terms of the fast-paced nature of the growth and
development in online learning. This meta-analysis is one of many that show no significant
difference in traditional and online learning.
Means, B., Toyama, Y., Murphy, R., Bakia, M., & Jones, K. (2009). Evaluation of evidence-
based practices in online learning: A meta-analysis and review of online learning studies.
Retrieved July 9, 2009, from http://www.ed.gov/rschstat/eval/tech/evidence-based-
practices/finalreport.pdf
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This report is the result of a meta-analysis involving research published from 1996 to
2008, in which the authors filtered through more than 1,100 empirical studies on online learning.
The study included only objective measures of learning from studies with controlled designs that
met the researchers' minimum quality standards. It included research on both K-12 and post-
secondary education.
The studies of more recent online instruction included in this meta-analysis found
that, on average, online learning, at the post-secondary level, is not just as good as but more
effective than conventional face-to-face instruction. Hearing this, U.S. Secretary of Education
Arne Duncan said, “This new report reinforces that effective teachers need to incorporate digital
content into everyday classes and consider open-source learning management systems, which
have proven cost effective in school districts and colleges nationwide. We must take advantage
of this historic opportunity to use American Recovery and Reinvestment Act funds to bring
broadband access and online learning to more communities."
The report also mentions the recent explosion of online learners; reporting the number of
K-12 public school students enrolling in a technology-based distance education course grew by
65 percent in the two years from 2002-03 to 2004-05. The report also indicates that more than a
million K-12 students, nation-wide took online courses in school year 2007-08.
This report provides the strongest evidence to date for the consideration of online
learning to be included in public schools.
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Leadership Policy Implications
Gonzales, A. & Barbour, M. (2008). U.S. virtual school trial period and course completion
policy study. In G. Richards (Ed.), Proceedings of World Conference on E-Learning in
Corporate, Government, Healthcare, and Higher Education 2008 (pp. 2653-2660).
Chesapeake, VA: AACE.
In virtual school settings, student attrition is believed to be a significant issue. Gonzales
& Barbour found attrition rate estimates range from 12% to 50%. These estimates vary greatly
due to the differences in the way each virtual school calculates its student attrition rate. The
purpose of this study was to explore these policy variations in how United States K-12 virtual
schools calculate completion rates.
Gonzales & Barbour sent online surveys to 159 U.S. virtual schools in various
geographic regions across the nation and they received responses from 86 schools. Of those that
responded, 68.6% had trial periods that varied from one day to 185 days. They found that this
variation dramatically impacts the reported attrition rate. Because of the competition for
students, all schools want to publish a low attrition rate. If they give students a longer trail
period then a student dropping during the trial is less likely to negatively impact the school’s
attrition rate. In some cases this manipulation of the data serves to distort the reality of the
published attrition rates.
Course completion definitions between virtual schools also varied considerably from
remaining in the course irrespective of the final grade to receiving an A-, considered a passing
grade. This too will impact the published attrition rates.
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Gonzales & Barbour bring to light the need for virtual schools to adopt multiple measures
for calculating student attrition to allow meaningful comparisons between virtual and also with
brick and mortar schools.
Picciano, A. G. & Seaman, J. (2009). K-12 online learning: A 2008 follow-up of the survey of
U.S. school district administrators. Hunter College and Graduate Center of the City
University of New York, Olin and Babson Colleges. The Sloan Consortium. Retrieved on
July 10, 2009 from http://www.sloan-c.org/publications/survey/K-12_06.asp.
This report builds off an earlier one from two years before where these same authors
chronicled the emerging landscape of online learning in K-12 education through a survey that
reached district administrators in a range of representative districts: rural, town, suburban, and
urban.
In 2007, the Sloan Consortium issued a report on the extent and nature of online learning
in K-12 schools. It was based on a national survey of school district administrators during the
2005-2006 academic year. It was one of the first studies to collect data on and compare fully
online and blended learning (part online and part traditional face-to-face instruction) in K-12
schools. The purpose of this current study is to replicate the original study in order to
substantiate its findings and to examine what if any changes occurred in online learning in K-12
school districts. The current study was conducted two years later and was based on a national
survey of school district administrators during the 2007-2008 academic year.
The survey found that 75% of public school districts offer online or blended courses.
Most of these districts anticipated their online offerings will grow, and the biggest growth
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appears to be in blended learning. Considering the findings of Mean (2009) which support the
effectiveness of the blended approach, this makes good sense.
According to Picciano & Seaman’s numbers, enrollments in online courses grew 47% from
2005-06 to 2007-08. The survey also shows that online courses are meeting the needs of a range
of students; from those who need credit recovery to those desiring advanced courses. To meet
this need districts are relying on multiple online learning providers. Specifically online courses
represent an absolute lifeline for small rural school districts. Not only do they help them offer
enrichment courses, they also help them offer basic, core courses, too, that they would otherwise
not be able to offer.
Shuldman, Mitchell. (2004). Superintendent conceptions of institutional conditions that impact
teacher technology integration. Journal of Research on Technology in Education, 36(1),
319-343.
The study examined the conceptions of three New Hampshire superintendents as to the
institutional conditions they believe impact teachers' ability to integrate technology. Common
thinking was found. They agree if integration is to be successful, teachers need a better
understanding of how these technologies can be applied in instruction. They believe that multiple
levels of leadership are essential, and they see lack of time and the public's hesitation to spend
public monies on building teacher capacity as obstacles.
The Superintendents’ gave a similar list of obstacles that impede a teachers' ability to
adopt and integrate technology into their teaching such as lack of time, expertise, access,
resources and support. This supports the notion that technology's greatest impact on student
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learning appears only after teachers have sufficient skills coupled with an understanding of how
various technologies can be used as cognitive tools, and are able to weave technology
experiences into their daily practice. This more robust level of understanding comes over time.
Shuldman also found that administrators do not appear prepared for their emerging role
in technology and their lack of understanding and resources sometimes creates barriers to change
and improvement. In many districts, superintendents have remained withdrawn from the
technology discussions, leaving to staff the leadership roles of planning and implementing
technology. However, the people who will ultimately implement an innovation must possess
sufficient knowledge and skills to do the job.
Successful practices implemented by superintendents in their districts include the
following:
1. Active participation on the district's technology committee, as chair person,
engagement in active discussions with tech personnel to smooth out and clarify
lines of responsibility, authority, and overlapping interests.
2. The creation of site-based technology committees to ensure active engagement by
principals.
3. Redefinition of technology teacher positions and the creation of technology
curriculum coordinator positions.
4. Use of the persuasive power of the superintendency to help a tech coordinator
evolve middle school reading specialists into full-time technology integrators and
to infuse the district technology education faculty with technology skills.
5. Assist in establishment of free evening technology classes for adults.
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6. Facilitate a project that has middle school students teaching email tech to senior
citizens.
7. Actively engage other locally elected civic boards into the district tech discussion
to build broader community support.
Shuldman found that superintendents needed to have principals take the lead in ensuring
that all teachers in their building work towards adopting technology. A superintendent must get
principals to make sure that teachers included technology goals in their individual professional
development plans.
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Conclusion
I see tremendous potential for continued research regarding the dramatic, disruptive
impact of online learning on the K-12 systems. However, it appears that my challenge will be in
winnowing a little further to a more specific topic.
The literature provides valid reasons to pursue online learning for our students. The
effectiveness of technology integration (Mulkeen, 2006) and online learning (Bernard, 2004) has
given credibility to these methods as viable and productive methods for learning. Most
encouraging was the recently released research that found online learning in tandem with
traditional learning was more effective than either alone (Means, 2009).
I was discouraged to find very little research on the Superintendent’s role in leading
district efforts to begin online learning initiatives. Shuldman (2004) gave compelling evidence
as to why this is an important, untapped area; fertile for new research.